feat: microelectronics-smart-manufacturing-engineer skill package v0.1.0
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31
PROVENANCE.md
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PROVENANCE.md
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# Data provenance — microelectronics-smart-manufacturing-engineer
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Where the content of this skill package comes from, counted by
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content items (tasks, competences, tools, evidence entries, curated
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knowledge). Rendered live by Gitea:
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```mermaid
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%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
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pie showData
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title Content sources — microelectronics-smart-manufacturing-engineer
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"ESCO (occupation & competences)" : 89
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"O*NET (tasks & tools)" : 96
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"Job boards (market evidence)" : 36
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"Anthropic official Claude skills" : 5
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"External AI skill packs (mapped)" : 153
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```
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| Source | Items | Share | Files |
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|---|---|---|---|
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| ESCO (occupation & competences) | 89 | 23.5 % | references/profile.md, references/skills.md |
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| O*NET (tasks & tools) | 96 | 25.3 % | references/tasks.md, references/tools.md |
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| Job boards (market evidence) | 36 | 9.5 % | references/market.md (full report) + "Market evidence" headline sections |
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| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
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| Anthropic official Claude skills | 5 | 1.3 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
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| External AI skill packs (mapped) | 153 | 40.4 % | references/ai-skills.md (per-source attribution inside) |
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| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
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Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
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job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
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paraphrased with source URLs — never copied · external AI skills are
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linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).
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53
SKILL.md
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SKILL.md
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---
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name: microelectronics-smart-manufacturing-engineer
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description: "Occupational skill for the role 'microelectronics smart manufacturing engineer' (also: microelectronics manufacturing professional, microelectronics technology expert, microelectronics technology engineer, engineer of microelectronics technology, microelectronics production adviser, microelectronics production supervisor). Use when the user asks for typical microelectronics smart manufacturing engineer work such as: typical microelectronics smart manufacturing engineer responsibilities"
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---
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# Microelectronics Smart Manufacturing Engineer
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Microelectronics smart manufacturing engineers design, plan and supervise the manufacturing and assembly of electronic devices and products, such as integrated circuits, automotive electronics or smartphones, in an Industry 4.0 compliant environment.
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## Core workflow
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## How to use this skill
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- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
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- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
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- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
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- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
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- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
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## Key competences (essential)
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- abide by regulations on banned materials
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- analyse big data
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- analyse production processes for improvement
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- apply advanced manufacturing
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- apply soldering techniques
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- apply statistical analysis techniques
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- artificial neural networks
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- assemble printed circuit boards
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- assess the life cycle of resources
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- characteristics of waste
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- cyber security
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- data mining
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- data models
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- define manufacturing quality criteria
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- develop assembly instructions
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## Hot technologies
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- Apache Subversion SVN
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- Autodesk AutoCAD
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- C
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- C++
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- Dassault Systemes SolidWorks
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- ESRI ArcGIS software
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- Extensible markup language XML
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- Linux
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- Microsoft Excel
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- Microsoft Office software
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---
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*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/82616669-cc82-4455-9332-a2df209e9f3e), O*NET 30.3 (17-2072.00, manual nearest match). See manifest.json for licensing/attribution.*
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226
manifest.json
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manifest.json
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{
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"name": "microelectronics-smart-manufacturing-engineer",
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"title": "microelectronics smart manufacturing engineer",
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"version": "0.1.0",
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"layer": "core",
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"language": "en",
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"generated": "2026-07-07",
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"ids": {
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"esco_uri": "http://data.europa.eu/esco/occupation/82616669-cc82-4455-9332-a2df209e9f3e",
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"esco_code": "2152.1.9",
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"isco_group": "2152",
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"onet_soc": "17-2072.00",
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"crosswalk_match": "manual nearest via ISCO 2152 (Electronics Engineers, Except Computer)"
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},
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"sources": [
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{
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"name": "ESCO",
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"version": "1.2.1",
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"url": "https://esco.ec.europa.eu/"
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},
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{
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"name": "O*NET",
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"version": "30.3",
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"url": "https://www.onetcenter.org/",
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"license": "CC BY 4.0"
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}
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],
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"attribution": "This package includes information from the O*NET Database (v30.3) by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), CC BY 4.0. skillfactor is not endorsed by USDOL/ETA. ESCO data (v1.2.1) (c) European Union, used per the ESCO download conditions: https://esco.ec.europa.eu/en/use-esco/download",
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"counts": {
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"tasks": 0,
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"dwas": 0,
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"skills_essential": 61,
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"skills_optional": 27,
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"software": 0
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},
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"enrichment_ai_skills": {
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"generated": "2026-07-14",
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"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
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"sources": {
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"anthropics/skills": {
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"repo": "https://github.com/anthropics/skills",
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"commit": "f6656c1",
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"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
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"skills": 2
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},
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"davila7/claude-code-templates": {
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"repo": "https://github.com/davila7/claude-code-templates",
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"commit": "fa79251",
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"license": "MIT",
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"skills": 9
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},
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"a5c-ai/babysitter": {
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"repo": "https://github.com/a5c-ai/babysitter",
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"commit": "44a5d58b",
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"license": "MIT",
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"skills": 7
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},
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"K-Dense-AI/claude-scientific-skills": {
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"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
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"commit": "4d97e29",
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"license": "MIT",
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"skills": 7
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},
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"foryourhealth111-pixel/Vibe-Skills": {
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"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
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"commit": "34429a8",
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"license": "Apache-2.0",
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"skills": 4
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},
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"K-Dense-AI/scientific-agent-skills": {
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"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
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"commit": "4d97e29",
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"license": "MIT",
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"skills": 7
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},
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"HeshamFS/materials-simulation-skills": {
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"repo": "https://github.com/HeshamFS/materials-simulation-skills",
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"commit": "fa1ce8d",
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"license": "Apache-2.0",
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"skills": 1
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},
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"AgriciDaniel/claude-blog": {
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"repo": "https://github.com/AgriciDaniel/claude-blog",
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"commit": "49842ea",
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"license": "MIT",
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"skills": 2
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},
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"infrasity-labs/dev-gtm-claude-skills": {
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"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
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"commit": "02cfefb",
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"license": "MIT",
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"skills": 4
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},
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"rampstackco/claude-skills": {
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"repo": "https://github.com/rampstackco/claude-skills",
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"commit": "bc6d961",
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"license": "MIT",
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"skills": 3
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},
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"brycewang-stanford/Auto-Empirical-Research-Skills": {
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"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
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"commit": "85bf545",
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"license": "CC-BY-4.0",
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"skills": 12
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},
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"AgriciDaniel/claude-seo": {
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"repo": "https://github.com/AgriciDaniel/claude-seo",
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"commit": "6cf1ea9",
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"license": "MIT",
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"skills": 2
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},
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"AgriciDaniel/claude-ads": {
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"repo": "https://github.com/AgriciDaniel/claude-ads",
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"commit": "669c760",
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"license": "MIT",
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"skills": 1
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},
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"ferdinandobons/startup-skill": {
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"repo": "https://github.com/ferdinandobons/startup-skill",
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"commit": "a5f97c3",
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"license": "MIT",
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"skills": 1
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},
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"nWave-ai/nWave": {
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"repo": "https://github.com/nWave-ai/nWave",
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"commit": "1d0f13c",
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"license": "MIT",
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"skills": 2
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},
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"basicmachines-co/basic-memory": {
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"repo": "https://github.com/basicmachines-co/basic-memory",
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"commit": "53da71c",
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"license": "custom (see upstream LICENSE)",
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"skills": 1
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},
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"mukul975/Anthropic-Cybersecurity-Skills": {
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"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
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"commit": "673da1f",
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"license": "Apache-2.0",
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"skills": 4
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},
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"wondelai/skills": {
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"repo": "https://github.com/wondelai/skills",
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"commit": "326b380",
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"license": "MIT",
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"skills": 2
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},
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"nexscope-ai/eCommerce-Skills": {
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"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
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"commit": "56f3288",
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"license": "MIT",
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"skills": 1
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},
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"glittercowboy/taches-cc-resources": {
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"repo": "https://github.com/glittercowboy/taches-cc-resources",
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"commit": "1757615",
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"license": "MIT",
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"skills": 1
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},
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"dotnet/skills": {
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"repo": "https://github.com/dotnet/skills",
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"commit": "79a2ada",
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"license": "MIT",
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"skills": 1
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},
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"rohitg00/skillkit": {
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"repo": "https://github.com/rohitg00/skillkit",
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"commit": "d2e5c34",
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"license": "Apache-2.0",
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"skills": 1
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},
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"hypnguyen1209/offensive-claude": {
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"repo": "https://github.com/hypnguyen1209/offensive-claude",
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"commit": "4d62be7",
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"license": "MIT",
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"skills": 1
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},
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"jeremylongshore/claude-code-plugins-plus-skills": {
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"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
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"commit": "e112938a",
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"license": "MIT",
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"skills": 2
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},
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"pedrohcgs/claude-code-my-workflow": {
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"repo": "https://github.com/pedrohcgs/claude-code-my-workflow",
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"commit": "be53c12",
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"license": "MIT",
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"skills": 1
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},
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"affaan-m/everything-claude-code": {
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"repo": "https://github.com/affaan-m/everything-claude-code",
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"commit": "ed38744",
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"license": "MIT",
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"skills": 1
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}
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},
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"total_skills": 80,
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"tiers": {
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"core": 78,
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"adjacent": 2
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}
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},
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"provenance": {
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"items": {
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"esco": 89,
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"onet": 96,
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"jobads": 36,
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"wiki_ai": 0,
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"anthropic": 5,
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"ai_skills": 153,
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"stackx": 0
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},
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"share_percent": {
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"esco": 23.5,
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"onet": 25.3,
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"jobads": 9.5,
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"wiki_ai": 0.0,
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"anthropic": 1.3,
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"ai_skills": 40.4,
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"stackx": 0.0
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},
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"method": "content items per source category"
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},
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"collar": "white",
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"computer_work": true
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}
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306
references/ai-skills.md
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references/ai-skills.md
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# External AI agent skills — microelectronics-smart-manufacturing-engineer
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Proven, publicly available AI agent skills mapped to this occupation.
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Nothing is copied from the sources: every entry is a name, a one-line
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summary and a link to the upstream skill package. Each section names
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its source repository, commit, license and retrieval date.
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**Tiers:** `core` = the skill directly exercises a top market hard
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skill, tool or method (from gated job-ad evidence) or an essential
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ESCO competence of this occupation; `adjacent` =
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plausibly useful, secondary. Entries are capped at 12 per source
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and 80 in total per occupation (core first,
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strongest matches survive); everything beyond the caps is excluded
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and logged in the pipeline audit trail, not in this package.
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_Matched deterministically (ISCO group + title/competence keywords,
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tiered against market evidence + ESCO essentials) by
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`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
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## Source: anthropics/skills
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- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
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- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
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| Skill | Tier | What it adds | Upstream |
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|---|---|---|---|
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| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
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| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
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## Source: a5c-ai/babysitter
|
||||
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- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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|---|---|---|---|
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| `doe-designer` | core | Design of Experiments planning and analysis skill for factorial and response surface experiments. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/doe-designer) |
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| `quantitative-methods` | core | Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods) |
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| `A/B Test Design` | core | Statistical experiment design and analysis capabilities for product experimentation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/ab-test-design) |
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| `simulation-experiment-designer` | core | Simulation experimental design skill for efficient scenario analysis and optimization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/simulation-experiment-designer) |
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| `A/B Test Statistical Analyzer` | core | Performs statistical analysis for A/B testing experiments | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/ab-test-statistical-analyzer) |
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| `statistical-testing` | core | Apply statistical hypothesis testing, significance analysis, A/B test evaluation, and distribution comparisons for data science workflows. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/statistical-testing) |
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| `failure-analysis` | core | Systematic failure analysis methodology for mechanical component failures | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/mechanical-engineering/skills/failure-analysis) |
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||||
## Source: affaan-m/everything-claude-code
|
||||
|
||||
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
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||||
- License: MIT
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||||
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||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `competitive-report-structure` | core | Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/competitive-report-structure) |
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||||
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||||
## Source: AgriciDaniel/claude-ads
|
||||
|
||||
- Repository: [https://github.com/AgriciDaniel/claude-ads](https://github.com/AgriciDaniel/claude-ads) (commit `669c760`, retrieved 2026-07-14)
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||||
- License: MIT
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||||
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||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `ads-test` | core | Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, … | [source](https://github.com/AgriciDaniel/claude-ads/tree/669c760/skills/ads-test) |
|
||||
|
||||
## Source: AgriciDaniel/claude-blog
|
||||
|
||||
- Repository: [https://github.com/AgriciDaniel/claude-blog](https://github.com/AgriciDaniel/claude-blog) (commit `49842ea`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-strategy) |
|
||||
| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-audit) |
|
||||
|
||||
## Source: AgriciDaniel/claude-seo
|
||||
|
||||
- Repository: [https://github.com/AgriciDaniel/claude-seo](https://github.com/AgriciDaniel/claude-seo) (commit `6cf1ea9`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/skills/seo-local) |
|
||||
| `seo-content` | core | Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit". | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/skills/seo-content) |
|
||||
|
||||
## Source: basicmachines-co/basic-memory
|
||||
|
||||
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
|
||||
- License: custom (see upstream LICENSE)
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `memory-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
|
||||
|
||||
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
|
||||
|
||||
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
|
||||
- License: CC-BY-4.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `g2` | core | Publication Specialist - Writing, Review, Pre-registration & Quality Assurance Light VS applied: Avoids template-based writing + audience-specific message design Absorbed G3 (Peer Review Strategist), G4 (Pre-registration Composer), F1-F3 … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/g2) |
|
||||
| `universal-ma-codebook` | core | Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/universal-ma-codebook) |
|
||||
| `statistics-skills` | core | 10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics) |
|
||||
| `aer-statspai` | core | Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/50-brycewang-aer-skills/skills/aer-statspai) |
|
||||
| `law-skills` | core | 9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/law) |
|
||||
| `metadata-skills` | core | 24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/literature/metadata) |
|
||||
| `paper-review-skills` | core | 8 peer review skills. Trigger: reviewing manuscripts, comparing papers, quality assessment. Design: systematic review criteria, evaluation rubrics, and automated review tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/paper-review) |
|
||||
| `psychology-research-guide` | core | Psychological research methods, experimental design, and analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/social-science/psychology-research-guide) |
|
||||
| `academic-baseline` | core | Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/60-regisely-superpapers/skills/academic-baseline) |
|
||||
| `f5` | core | Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/f5) |
|
||||
| `ai-ml-skills` | core | 27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/ai-ml) |
|
||||
| `automation-skills` | core | 10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/automation) |
|
||||
|
||||
## Source: davila7/claude-code-templates
|
||||
|
||||
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `scientific-critical-thinking` | core | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-critical-thinking) |
|
||||
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/exploratory-data-analysis) |
|
||||
| `simpy` | core | Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/simpy) |
|
||||
| `cobrapy` | core | Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cobrapy) |
|
||||
| `neuropixels-analysis` | core | Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/neuropixels-analysis) |
|
||||
| `qutip` | core | Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/qutip) |
|
||||
| `Excel Analysis` | core | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
|
||||
| `code-review-excellence` | core | Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/code-review-excellence) |
|
||||
| `scikit-survival` | core | Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scikit-survival) |
|
||||
|
||||
## Source: dotnet/skills
|
||||
|
||||
- Repository: [https://github.com/dotnet/skills](https://github.com/dotnet/skills) (commit `79a2ada`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `exp-mock-usage-analysis` | core | Audits .NET test mock usage by tracing each mock setup through the production code's execution path to find dead, unreachable, redundant, or replaceable mocks. Use when the user asks to audit mock usage, find unused or unnecessary mock … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-experimental/skills/exp-mock-usage-analysis) |
|
||||
|
||||
## Source: ferdinandobons/startup-skill
|
||||
|
||||
- Repository: [https://github.com/ferdinandobons/startup-skill](https://github.com/ferdinandobons/startup-skill) (commit `a5f97c3`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `startup-design` | core | Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup … | [source](https://github.com/ferdinandobons/startup-skill/tree/a5f97c3/startup-design) |
|
||||
|
||||
## Source: foryourhealth111-pixel/Vibe-Skills
|
||||
|
||||
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-critical-thinking) |
|
||||
| `designing-experiments` | core | Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/designing-experiments) |
|
||||
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/exploratory-data-analysis) |
|
||||
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scholar-evaluation) |
|
||||
|
||||
## Source: glittercowboy/taches-cc-resources
|
||||
|
||||
- Repository: [https://github.com/glittercowboy/taches-cc-resources](https://github.com/glittercowboy/taches-cc-resources) (commit `1757615`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `debug-like-expert` | core | Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic … | [source](https://github.com/glittercowboy/taches-cc-resources/tree/1757615/skills/debug-like-expert) |
|
||||
|
||||
## Source: HeshamFS/materials-simulation-skills
|
||||
|
||||
- Repository: [https://github.com/HeshamFS/materials-simulation-skills](https://github.com/HeshamFS/materials-simulation-skills) (commit `fa1ce8d`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `parameter-optimization` | core | Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/parameter-optimization) |
|
||||
|
||||
## Source: hypnguyen1209/offensive-claude
|
||||
|
||||
- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `malware-analysis` | core | Use when reverse-engineering or detecting malware — static triage + capa/YARA-X, emulation/DBI/.NET unpacking, dynamic/fileless/Volatility 3 memory analysis, C2 config extraction (Cobalt Strike/CAPE), C2 traffic detection (JA4+, beaconing) | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/malware-analysis) |
|
||||
|
||||
## Source: infrasity-labs/dev-gtm-claude-skills
|
||||
|
||||
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-strategy) |
|
||||
| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/seo-local) |
|
||||
| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-audit) |
|
||||
| `seo-content` | core | Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit". | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/seo-content) |
|
||||
|
||||
## Source: jeremylongshore/claude-code-plugins-plus-skills
|
||||
|
||||
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `perplexity-observability` | core | Set up monitoring for Perplexity Sonar API with latency, cost, citation quality, and error tracking. Use when implementing monitoring dashboards, setting up alerts, or tracking Perplexity API health in production. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/perplexity-pack/skills/perplexity-observability) |
|
||||
| `assemblyai-core-workflow-a` | core | Execute AssemblyAI primary workflow: async transcription with audio intelligence. Use when transcribing audio/video files, enabling speaker diarization, sentiment analysis, entity detection, PII redaction, or content moderation. Trigger … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/assemblyai-pack/skills/assemblyai-core-workflow-a) |
|
||||
|
||||
## Source: K-Dense-AI/claude-scientific-skills
|
||||
|
||||
- Repository: [https://github.com/K-Dense-AI/claude-scientific-skills](https://github.com/K-Dense-AI/claude-scientific-skills) (commit `4d97e29`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-critical-thinking) |
|
||||
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/exploratory-data-analysis) |
|
||||
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scholar-evaluation) |
|
||||
| `experimental-design` | core | Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/experimental-design) |
|
||||
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hugging-science) |
|
||||
| `cirq` | core | Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/cirq) |
|
||||
| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/adaptyv) |
|
||||
|
||||
## Source: K-Dense-AI/scientific-agent-skills
|
||||
|
||||
- Repository: [https://github.com/K-Dense-AI/scientific-agent-skills](https://github.com/K-Dense-AI/scientific-agent-skills) (commit `4d97e29`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-critical-thinking) |
|
||||
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/exploratory-data-analysis) |
|
||||
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scholar-evaluation) |
|
||||
| `experimental-design` | core | Design experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so the results will actually be interpretable. Use whenever someone is planning a study, asks how to … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/experimental-design) |
|
||||
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hugging-science) |
|
||||
| `cirq` | core | Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/cirq) |
|
||||
| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/adaptyv) |
|
||||
|
||||
## Source: mukul975/Anthropic-Cybersecurity-Skills
|
||||
|
||||
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
|
||||
| `detecting-process-injection-techniques` | core | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
|
||||
| `analyzing-memory-forensics-with-lime-and-volatility` | core | Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-forensics-with-lime-and-volatility) |
|
||||
| `conducting-memory-forensics-with-volatility` | core | Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/conducting-memory-forensics-with-volatility) |
|
||||
|
||||
## Source: nexscope-ai/eCommerce-Skills
|
||||
|
||||
- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `price-optimization-tool` | core | Evaluate ecommerce price candidates using unit economics, historical observations, elasticity analysis, scenario modeling, and controlled experiments. Use when a seller asks what price to test, how price changes could affect contribution … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/price-optimization-tool) |
|
||||
|
||||
## Source: nWave-ai/nWave
|
||||
|
||||
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `nw-interviewing-techniques` | core | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
|
||||
| `nw-stress-analysis` | core | Advanced architecture stress analysis methodology for designing systems that survive unknown stresses. Load when --residuality flag is used or when designing high-uncertainty, mission-critical systems. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-stress-analysis) |
|
||||
|
||||
## Source: pedrohcgs/claude-code-my-workflow
|
||||
|
||||
- Repository: [https://github.com/pedrohcgs/claude-code-my-workflow](https://github.com/pedrohcgs/claude-code-my-workflow) (commit `be53c12`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `coauthor-brief` | core | Generate a co-author / collaborator handoff brief for a multi-author, multi-machine project — summarizing what changed since the last brief (git delta), the current state of each artifact (manuscript, analysis, slides), open questions, how … | [source](https://github.com/pedrohcgs/claude-code-my-workflow/tree/be53c12/.claude/skills/coauthor-brief) |
|
||||
|
||||
## Source: rampstackco/claude-skills
|
||||
|
||||
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `experiment-design` | core | A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/experiment-design) |
|
||||
| `cro-optimization` | core | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
|
||||
| `data-warehouse-experimentation` | core | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/data-warehouse-experimentation) |
|
||||
|
||||
## Source: rohitg00/skillkit
|
||||
|
||||
- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `hypothesis-testing` | core | Applies the scientific method to debugging by helping users form specific, testable hypotheses, design targeted experiments, and systematically confirm or reject theories to find root causes. Use when a user says their code isn't working, … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/debugging/hypothesis-testing) |
|
||||
|
||||
## Source: wondelai/skills
|
||||
|
||||
- Repository: [https://github.com/wondelai/skills](https://github.com/wondelai/skills) (commit `326b380`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `lean-ux` | core | Apply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "outcome over output", "design studio method", … | [source](https://github.com/wondelai/skills/tree/326b380/lean-ux) |
|
||||
| `steve-jobs-design-review` | core | Review designs, products, and features with Steve Jobs'' standards: ruthless simplicity, focus, and end-to-end excellence. Use when the user mentions "Steve Jobs review", "design review", "product review", "what would Steve do", "insanely … | [source](https://github.com/wondelai/skills/tree/326b380/steve-jobs-design-review) |
|
||||
74
references/market.md
Normal file
74
references/market.md
Normal file
@@ -0,0 +1,74 @@
|
||||
# Market evidence report — microelectronics-smart-manufacturing-engineer
|
||||
|
||||
Source: **14 real job ads** (JSearch API, countries: us 14), extracted into the MSSQL evidence store; as of 2026-07-17.
|
||||
This report contains extracted, aggregated facts only — no ad text is
|
||||
reproduced (copyright / platform terms).
|
||||
|
||||
## Seniority distribution
|
||||
|
||||
| Seniority | Ads | Share |
|
||||
|---|---|---|
|
||||
| mid | 9 | 64 % |
|
||||
| senior | 4 | 29 % |
|
||||
| lead | 1 | 7 % |
|
||||
|
||||
## Tools — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Hard skills — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
| 1 | data analysis | 4 | 29 % |
|
||||
| 2 | problem solving | 3 | 21 % |
|
||||
| 3 | semiconductor fabrication | 3 | 21 % |
|
||||
|
||||
## Methods — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Responsibilities — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Regional breakdown
|
||||
|
||||
> **Corpus note:** 14 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
|
||||
|
||||
### US (us)
|
||||
|
||||
**Insufficient evidence** — 14 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
### UK (gb)
|
||||
|
||||
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
### EU/DACH (de, at, ch, nl)
|
||||
|
||||
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
|
||||
## Job title variants in the market
|
||||
|
||||
| Title | Ads |
|
||||
|---|---|
|
||||
| Global Materials Lead, Semiconductor Manufacturing | 1 |
|
||||
| Hardened Microelectronics Science & Technology Lead | 1 |
|
||||
| Manufacturing Engineer - Semiconductor | 1 |
|
||||
| Microelectronics Manufacturing and Process Engineer | 1 |
|
||||
| Microelectronics Process Engineer/Principal Microelectronics Process Engineer - R10239302 | 1 |
|
||||
| Principal / Senior Principal Microelectronics Process Engineer | 1 |
|
||||
| Principal Process Engineer-Etch | 1 |
|
||||
| Product Engineer: Semiconductor Manufacturing for Automotive | 1 |
|
||||
| Semiconductor Manufacturing Strategy Engineer | 1 |
|
||||
| Senior Engineering Manager, Microelectronics Technology | 1 |
|
||||
| Senior Principal Microelectronics Manufacturing Engineer | 1 |
|
||||
| Senior Principal Microelectronics Manufacturing Process Engineer | 1 |
|
||||
| Sr Principal Engineer Microelectronic Semiconductors | 1 |
|
||||
| Wafer Bonding Engineer | 1 |
|
||||
|
||||
Methodology: entities extracted per ad ({hard_skills, tools, methods, responsibilities, seniority}), normalized, counted as DISTINCT ads per entity; report threshold ≥ 3 ads. Headline sections in skills.md/tools.md use the stricter ≥ 20 % threshold.
|
||||
28
references/profile.md
Normal file
28
references/profile.md
Normal file
@@ -0,0 +1,28 @@
|
||||
# Occupation profile — microelectronics smart manufacturing engineer
|
||||
|
||||
- **ESCO URI:** http://data.europa.eu/esco/occupation/82616669-cc82-4455-9332-a2df209e9f3e
|
||||
- **ESCO code:** 2152.1.9
|
||||
- **ISCO-08 group:** 2152 — Electronics engineers
|
||||
|
||||
## Description (ESCO)
|
||||
|
||||
Microelectronics smart manufacturing engineers design, plan and supervise the manufacturing and assembly of electronic devices and products, such as integrated circuits, automotive electronics or smartphones, in an Industry 4.0 compliant environment.
|
||||
|
||||
## Definition
|
||||
|
||||
nan
|
||||
|
||||
## Alternative labels
|
||||
|
||||
- microelectronics manufacturing professional
|
||||
- microelectronics technology expert
|
||||
- microelectronics technology engineer
|
||||
- engineer of microelectronics technology
|
||||
- microelectronics production adviser
|
||||
- microelectronics production supervisor
|
||||
- microelectronics productions specialist
|
||||
- microelectronics production engineer
|
||||
- smart production expert
|
||||
- smart manufacturing engineer
|
||||
- microelectronics technology consultant
|
||||
- microelectronics manufacturing engineer
|
||||
124
references/skills.md
Normal file
124
references/skills.md
Normal file
@@ -0,0 +1,124 @@
|
||||
# Competences — microelectronics smart manufacturing engineer
|
||||
|
||||
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/82616669-cc82-4455-9332-a2df209e9f3e).
|
||||
|
||||
## Essential
|
||||
|
||||
- **abide by regulations on banned materials** (skill/competence)
|
||||
- **analyse big data** (skill/competence)
|
||||
- **analyse production processes for improvement** (skill/competence)
|
||||
- **apply advanced manufacturing** (skill/competence)
|
||||
- **apply soldering techniques** (skill/competence)
|
||||
- **apply statistical analysis techniques** (skill/competence)
|
||||
- **artificial neural networks** (knowledge)
|
||||
- **assemble printed circuit boards** (skill/competence)
|
||||
- **assess the life cycle of resources** (skill/competence)
|
||||
- **characteristics of waste** (knowledge)
|
||||
- **cyber security** (knowledge)
|
||||
- **data mining** (knowledge)
|
||||
- **data models** (knowledge)
|
||||
- **define manufacturing quality criteria** (skill/competence)
|
||||
- **develop assembly instructions** (skill/competence)
|
||||
- **develop hazardous waste management strategies** (skill/competence)
|
||||
- **dispose of soldering waste** (skill/competence)
|
||||
- **draft bill of materials** (skill/competence)
|
||||
- **electronic equipment standards** (knowledge)
|
||||
- **electronics** (knowledge)
|
||||
- **engineering principles** (knowledge)
|
||||
- **ensure health and safety in manufacturing** (skill/competence)
|
||||
- **environmental legislation** (knowledge)
|
||||
- **environmental threats** (knowledge)
|
||||
- **establish data processes** (skill/competence)
|
||||
- **execute analytical mathematical calculations** (skill/competence)
|
||||
- **hazardous waste treatment** (knowledge)
|
||||
- **hazardous waste types** (knowledge)
|
||||
- **industrial engineering** (knowledge)
|
||||
- **inspect quality of products** (skill/competence)
|
||||
- **integrate new products in manufacturing** (skill/competence)
|
||||
- **interpret current data** (skill/competence)
|
||||
- **liaise with engineers** (skill/competence)
|
||||
- **machine learning** (knowledge)
|
||||
- **manage data** (skill/competence)
|
||||
- **manage data collection systems** (skill/competence)
|
||||
- **manage discarded products** (skill/competence)
|
||||
- **manufacturing processes** (knowledge)
|
||||
- **mathematics** (knowledge)
|
||||
- **microassembly** (knowledge)
|
||||
- **microelectronics** (knowledge)
|
||||
- **monitor plant production** (skill/competence)
|
||||
- **nanoelectronics** (knowledge)
|
||||
- **perform data mining** (skill/competence)
|
||||
- **perform resource planning** (skill/competence)
|
||||
- **perform risk analysis** (skill/competence)
|
||||
- **physics** (knowledge)
|
||||
- **prepare assembly drawings** (skill/competence)
|
||||
- **principles of artificial intelligence** (knowledge)
|
||||
- **production processes** (knowledge)
|
||||
- **program firmware** (skill/competence)
|
||||
- **quality assurance methodologies** (knowledge)
|
||||
- **quality assurance procedures** (knowledge)
|
||||
- **quality standards** (knowledge)
|
||||
- **read engineering drawings** (skill/competence)
|
||||
- **report analysis results** (skill/competence)
|
||||
- **set quality assurance objectives** (skill/competence)
|
||||
- **solder electronics** (skill/competence)
|
||||
- **statistics** (knowledge)
|
||||
- **technical drawings** (knowledge)
|
||||
- **use specific data analysis software** (skill/competence)
|
||||
|
||||
## Optional
|
||||
|
||||
- audit techniques (knowledge)
|
||||
- automation technology (knowledge)
|
||||
- check quality of products on the production line (skill/competence)
|
||||
- check quality of raw materials (skill/competence)
|
||||
- communicate test results to other departments (skill/competence)
|
||||
- computer engineering (knowledge)
|
||||
- control engineering (knowledge)
|
||||
- coordinate engineering teams (skill/competence)
|
||||
- emergent technologies (knowledge)
|
||||
- integrated circuit types (knowledge)
|
||||
- investigate security issues (skill/competence)
|
||||
- manage system security (skill/competence)
|
||||
- mechanical engineering (knowledge)
|
||||
- microelectromechanical systems (knowledge)
|
||||
- nanotechnology (knowledge)
|
||||
- non-destructive testing (knowledge)
|
||||
- operate precision machinery (skill/competence)
|
||||
- operate scientific measuring equipment (skill/competence)
|
||||
- oversee quality control (skill/competence)
|
||||
- perform scientific research (skill/competence)
|
||||
- precision measuring instruments (knowledge)
|
||||
- provide improvement strategies (skill/competence)
|
||||
- recommend product improvements (skill/competence)
|
||||
- reverse engineering (knowledge)
|
||||
- use CAD software (skill/competence)
|
||||
- use CAM software (skill/competence)
|
||||
- use precision tools (skill/competence)
|
||||
|
||||
<!-- market-evidence -->
|
||||
|
||||
## Market evidence (job-ad analysis, 14 ads, as of 2026-07-17)
|
||||
|
||||
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||
|
||||
### Hard skills
|
||||
|
||||
- data analysis — **29 %**
|
||||
- problem solving — **21 %**
|
||||
- semiconductor fabrication — **21 %**
|
||||
- wafer fabrication — **14 %**
|
||||
- process development — **14 %**
|
||||
- manufacturing process development — **14 %**
|
||||
- root cause analysis — **14 %**
|
||||
|
||||
### Methods
|
||||
|
||||
- lean manufacturing — **14 %**
|
||||
|
||||
### Responsibilities
|
||||
|
||||
- cross-functional collaboration — **14 %**
|
||||
- process improvement — **14 %**
|
||||
|
||||
<!-- market-evidence -->
|
||||
52
references/tasks.md
Normal file
52
references/tasks.md
Normal file
@@ -0,0 +1,52 @@
|
||||
# Tasks & work activities — microelectronics smart manufacturing engineer
|
||||
|
||||
Source: O*NET 30.3, occupation 17-2072.00 (Electronics Engineers, Except Computer) — manual nearest-occupation mapping via ISCO group 2152; the official ESCO crosswalk has no entry for this ESCO occupation.
|
||||
|
||||
## Task statements
|
||||
|
||||
- **[Supplemental]** Investigate green consumer electronics applications for consumer electronic devices, power saving devices for computers or televisions, or energy efficient power chargers.
|
||||
- **[Supplemental]** Research or develop new green electronics technologies, such as lighting, optical data storage devices, or energy efficient televisions.
|
||||
- **[Core]** Determine project material or equipment needs.
|
||||
- **[Core]** Evaluate project work to ensure effectiveness, technical adequacy, or compatibility in the resolution of complex electronics engineering problems.
|
||||
- **[Core]** Analyze electronics system requirements, capacity, cost, or customer needs to determine project feasibility.
|
||||
- **[Core]** Confer with engineers, customers, vendors, or others to discuss existing or potential electronics engineering projects or products.
|
||||
- **[Core]** Operate computer-assisted engineering or design software or equipment to perform electronics engineering tasks.
|
||||
- **[Core]** Recommend repair or design modifications of electronics components or systems, based on factors such as environment, service, cost, or system capabilities.
|
||||
- **[Core]** Provide technical support or instruction to staff or customers regarding electronics equipment standards.
|
||||
- **[Supplemental]** Prepare budget or cost estimates for equipment, construction, or installation projects or control expenditures.
|
||||
- **[Core]** Design electronic components, software, products, or systems for commercial, industrial, medical, military, or scientific applications.
|
||||
- **[Core]** Inspect electronic equipment, instruments, products, or systems to ensure conformance to specifications, safety standards, or applicable codes or regulations.
|
||||
- **[Core]** Prepare documentation containing information such as confidential descriptions or specifications of proprietary hardware or software, product development or introduction schedules, product costs, or information about product performance weaknesses.
|
||||
- **[Core]** Direct or coordinate activities concerned with manufacture, construction, installation, maintenance, operation, or modification of electronic equipment, products, or systems.
|
||||
- **[Core]** Develop or perform operational, maintenance, or testing procedures for electronic products, components, equipment, or systems.
|
||||
- **[Supplemental]** Plan or develop applications or modifications for electronic properties used in components, products, or systems to improve technical performance.
|
||||
- **[Supplemental]** Prepare engineering sketches or specifications for construction, relocation, or installation of equipment, facilities, products, or systems.
|
||||
- **[Core]** Prepare, review, or maintain maintenance schedules, design documentation, or operational reports or charts.
|
||||
- **[Supplemental]** Prepare necessary criteria, procedures, reports, or plans for successful conduct of the project with consideration given to site preparation, facility validation, installation, quality assurance, or testing.
|
||||
- **[Supplemental]** Represent employer at conferences, meetings, boards, panels, committees, or working groups to present, explain, or defend findings or recommendations, negotiate compromises or agreements, or exchange information.
|
||||
|
||||
## Detailed work activities
|
||||
|
||||
- Advise customers on the use of products or services.
|
||||
- Analyze design requirements for computer or electronics systems.
|
||||
- Communicate technical information to suppliers, contractors, or regulatory agencies.
|
||||
- Confer with technical personnel to prepare designs or operational plans.
|
||||
- Create schematic drawings for electronics.
|
||||
- Design electronic or computer equipment or instrumentation.
|
||||
- Determine operational criteria or specifications.
|
||||
- Direct industrial production activities.
|
||||
- Discuss designs or plans with clients.
|
||||
- Document technical design details.
|
||||
- Estimate operational costs.
|
||||
- Estimate technical or resource requirements for development or production projects.
|
||||
- Evaluate characteristics of equipment or systems.
|
||||
- Explain project details to the general public.
|
||||
- Inspect finished products to locate flaws.
|
||||
- Operate computer systems.
|
||||
- Prepare operational reports.
|
||||
- Prepare project budgets.
|
||||
- Provide technical guidance to other personnel.
|
||||
- Recommend technical design or process changes to improve efficiency, quality, or performance.
|
||||
- Research design or application of green technologies.
|
||||
- Schedule operational activities.
|
||||
- Test products for functionality or quality.
|
||||
58
references/tools.md
Normal file
58
references/tools.md
Normal file
@@ -0,0 +1,58 @@
|
||||
# Tools & technology — microelectronics smart manufacturing engineer
|
||||
|
||||
Source: O*NET 30.3, occupation 17-2072.00 (Electronics Engineers, Except Computer) — manual nearest-occupation mapping via ISCO group 2152; the official ESCO crosswalk has no entry for this ESCO occupation.
|
||||
|
||||
| Software | Category | Hot technology |
|
||||
|---|---|---|
|
||||
| Apache Subversion SVN | File versioning software | yes |
|
||||
| Autodesk AutoCAD | Computer aided design CAD software | yes |
|
||||
| C | Development environment software | yes |
|
||||
| C++ | Object or component oriented development software | yes |
|
||||
| Dassault Systemes SolidWorks | Computer aided design CAD software | yes |
|
||||
| ESRI ArcGIS software | Geographic information system | yes |
|
||||
| Extensible markup language XML | Enterprise application integration software | yes |
|
||||
| Linux | Operating system software | yes |
|
||||
| Microsoft Excel | Spreadsheet software | yes |
|
||||
| Microsoft Office software | Office suite software | yes |
|
||||
| Microsoft PowerPoint | Presentation software | yes |
|
||||
| Microsoft Word | Word processing software | yes |
|
||||
| Oracle Database | Data base user interface and query software | yes |
|
||||
| Oracle Java | Object or component oriented development software | yes |
|
||||
| Python | Object or component oriented development software | yes |
|
||||
| Structured query language SQL | Data base user interface and query software | yes |
|
||||
| The MathWorks MATLAB | Analytical or scientific software | yes |
|
||||
| Trimble SketchUp Pro | Graphics or photo imaging software | yes |
|
||||
| UNIX | Operating system software | yes |
|
||||
| Agile Product Lifecyle Management PLM | Enterprise resource planning ERP software | |
|
||||
| Ansoft Simplorer | Analytical or scientific software | |
|
||||
| Cadence PSpice | Analytical or scientific software | |
|
||||
| Canu | Development environment software | |
|
||||
| Dassault Systemes CATIA | Computer aided design CAD software | |
|
||||
| Embarcadero Delphi | Object or component oriented development software | |
|
||||
| Field programmable gate array FPGA design software | Computer aided design CAD software | |
|
||||
| Formula translation/translator FORTRAN | Development environment software | |
|
||||
| Graphics software | Graphics or photo imaging software | |
|
||||
| Hewlett-Packard HP OpenVMS | Operating system software | |
|
||||
| IBM Lotus Notes | Electronic mail software | |
|
||||
| Magellan Firmware | Operating system software | |
|
||||
| Mathsoft Mathcad | Computer aided design CAD software | |
|
||||
| MathWorks Simulink | Analytical or scientific software | |
|
||||
| McCabe Software TRUEchange | Project management software | |
|
||||
| Mentor Graphics PADS | Computer aided design CAD software | |
|
||||
| Microsoft Visual Basic.NET | Object or component oriented development software | |
|
||||
| Microsoft Visual C# .NET | Object or component oriented development software | |
|
||||
| National Instruments LabVIEW | Development environment software | |
|
||||
| OrCAD Capture | Computer aided design CAD software | |
|
||||
| Rabbit Semiconductor Dynamic C | Compiler and decompiler software | |
|
||||
| Real time operating system RTOS software | Operating system software | |
|
||||
| Supervisory control and data acquisition SCADA software | Industrial control software | |
|
||||
| Synopsys Saber | Analytical or scientific software | |
|
||||
| SystemVerilog | Development environment software | |
|
||||
| Three-dimensional 3D computer aided design CAD software | Computer aided design CAD software | |
|
||||
| Two-dimensional 2D computer aided design CAD software | Computer aided design CAD software | |
|
||||
| Verilog | Development environment software | |
|
||||
| Very high speed integrated circuit VHSIC hardware description language VHDL simulation software | Analytical or scientific software | |
|
||||
| Very high-speed integrated circuit VHSIC hardware description language VHDL | Development environment software | |
|
||||
| Visual Numerics PV-WAVE | Analytical or scientific software | |
|
||||
| Web browser software | Internet browser software | |
|
||||
| Xilinx Integrated Software Environment ISE | Computer aided design CAD software | |
|
||||
Reference in New Issue
Block a user