feat: metal-additive-manufacturing-operator skill package v0.1.0
This commit is contained in:
31
PROVENANCE.md
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PROVENANCE.md
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# Data provenance — metal-additive-manufacturing-operator
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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 — metal-additive-manufacturing-operator
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"ESCO (occupation & competences)" : 28
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"O*NET (tasks & tools)" : 1
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"Job boards (market evidence)" : 79
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"Anthropic official Claude skills" : 5
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"External AI skill packs (mapped)" : 165
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```
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| Source | Items | Share | Files |
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|---|---|---|---|
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| ESCO (occupation & competences) | 28 | 10.1 % | references/profile.md, references/skills.md |
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| O*NET (tasks & tools) | 1 | 0.4 % | references/tasks.md, references/tools.md |
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| Job boards (market evidence) | 79 | 28.4 % | 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 | 1.8 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
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| External AI skill packs (mapped) | 165 | 59.4 % | 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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40
SKILL.md
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SKILL.md
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---
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name: metal-additive-manufacturing-operator
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description: "Occupational skill for the role 'metal additive manufacturing operator' (also: metal AM technician, metal AM operator, AM operator, metal additive manufacturing technician, AM technician, additive manufacturing technician). Use when the user asks for typical metal additive manufacturing operator work such as: typical metal additive manufacturing operator responsibilities"
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---
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# Metal Additive Manufacturing Operator
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Metal additive manufacturing operators operate machines using additive manufacturing processes, such as fitting and setting up, maintenance and repair. They have factual and broad understanding in the field of metal additive manufacturing process. They are able to develop solutions on basic and specific problems related with additive manufacturing machines and processes and self-manage the handling of feedstock (approval, storage, contamination, traceability).
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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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- apply health and safety standards
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- ensure compliance with environmental legislation
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- follow work schedule
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- functionalities of machinery
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- liaise with engineers
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- liaise with managers
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- machine tools
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- maintain additive manufacturing systems
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- maintenance operations
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- manufacture metal additive manufacturing parts
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- monitor machine operations
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- operate precision measuring equipment
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- perform machine maintenance
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- prepare parts for post processing
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- quality assurance procedures
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---
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*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/418f3a43-a6b2-4101-aaa0-832fe7d82885), O*NET 30.3 (51-4199.00, manual nearest match). See manifest.json for licensing/attribution.*
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250
manifest.json
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manifest.json
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{
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"name": "metal-additive-manufacturing-operator",
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"title": "metal additive manufacturing operator",
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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/418f3a43-a6b2-4101-aaa0-832fe7d82885",
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"esco_code": "3119.10",
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"isco_group": "3119",
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"onet_soc": "51-4199.00",
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"crosswalk_match": "manual nearest via ISCO 3119 (Metal Workers and Plastic Workers, All Other)"
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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": 22,
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"skills_optional": 5,
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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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"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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"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": 12
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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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"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": 1
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},
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"samber/cc-skills-golang": {
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"repo": "https://github.com/samber/cc-skills-golang",
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"commit": "4881c01",
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"license": "MIT",
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"skills": 1
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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": 4
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},
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"qdrant/skills": {
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"repo": "https://github.com/qdrant/skills",
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"commit": "2a06cb1",
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"license": "Apache-2.0",
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"skills": 1
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},
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"davepoon/buildwithclaude": {
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"repo": "https://github.com/davepoon/buildwithclaude",
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"commit": "3c94e0c",
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"license": "MIT",
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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": 8
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},
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"nexu-io/open-design": {
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"repo": "https://github.com/nexu-io/open-design",
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"commit": "4b66023",
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"license": "Apache-2.0",
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"skills": 2
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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": 3
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},
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"ruvnet/claude-code-flow": {
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"repo": "https://github.com/ruvnet/claude-code-flow",
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"commit": "73914bd",
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"license": "MIT",
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"skills": 4
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},
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"ruvnet/ruflo": {
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"repo": "https://github.com/ruvnet/ruflo",
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"commit": "73914bd",
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"license": "MIT",
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"skills": 4
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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": 2
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},
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"inkline/inkline": {
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"repo": "https://github.com/inkline/inkline",
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"commit": "fcc2bf4",
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"license": "no explicit license \u2014 referenced by link only",
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"skills": 1
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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": 2
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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": 6
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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": 2
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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": 3
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},
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"OpenSenseNova/SenseNova-Skills": {
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"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
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"commit": "d8bb438",
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"license": "MIT",
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"skills": 3
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},
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"aaron-he-zhu/aaron-marketing-skills": {
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"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
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"commit": "b7b0b9f",
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"license": "Apache-2.0",
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"skills": 1
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},
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"giuseppe-trisciuoglio/developer-kit": {
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"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
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"commit": "306f428",
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"license": "MIT",
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"skills": 1
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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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"googleworkspace/cli": {
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"repo": "https://github.com/googleworkspace/cli",
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"commit": "a3768d0",
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"license": "Apache-2.0",
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"skills": 1
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},
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"Orchestra-Research/AI-research-SKILLs": {
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"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
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"commit": "773a529",
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"license": "MIT",
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"skills": 1
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},
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"zechenzhangAGI/AI-research-SKILLs": {
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"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
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"commit": "773a529",
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"license": "MIT",
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"skills": 1
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},
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"JasonColapietro/suede-creator-skills": {
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"repo": "https://github.com/JasonColapietro/suede-creator-skills",
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"commit": "0dc2aef",
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"license": "MIT",
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"skills": 1
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},
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"harperreed/dotfiles": {
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"repo": "https://github.com/harperreed/dotfiles",
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"commit": "6b5ced1",
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"license": "MIT",
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"skills": 1
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},
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"parcadei/Continuous-Claude-v3": {
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"repo": "https://github.com/parcadei/Continuous-Claude-v3",
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"commit": "d07ff4b",
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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": 17,
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"adjacent": 63
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}
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},
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"provenance": {
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"items": {
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"esco": 28,
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"onet": 1,
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"jobads": 79,
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"wiki_ai": 0,
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"anthropic": 5,
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"ai_skills": 165,
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"stackx": 0
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},
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"share_percent": {
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"esco": 10.1,
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"onet": 0.4,
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"jobads": 28.4,
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"wiki_ai": 0.0,
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"anthropic": 1.8,
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"ai_skills": 59.4,
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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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338
references/ai-skills.md
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338
references/ai-skills.md
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# External AI agent skills — metal-additive-manufacturing-operator
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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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| `embedded-docs` | core | Embedded firmware documentation generation and maintenance using Doxygen and related tools. Expert skill for API documentation, hardware interface documentation, memory maps, and integration with documentation systems. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/embedded-docs) |
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| `nvenc-nvdec` | core | NVIDIA hardware video encoding/decoding integration. Configure NVENC encoding parameters, set up NVDEC decoding pipelines, handle codec configurations, integrate with CUDA for pre/post processing, and manage video memory surfaces. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/nvenc-nvdec) |
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| `knowledge-extractor` | core | Extract tribal knowledge from code, documentation, and commit history to preserve institutional memory | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/code-migration-modernization/skills/knowledge-extractor) |
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| `translation-management` | adjacent | Integration with translation management systems and i18n workflows. Connect with Crowdin, Transifex, Weblate, manage translation memory, synchronize glossaries, and automate localization pipelines. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/technical-documentation/skills/translation-management) |
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| `vector-memory` | adjacent | HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/ruflo/skills/vector-memory) |
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| `nsight-profiler` | adjacent | Expert skill for NVIDIA Nsight Systems and Nsight Compute profiling tools. Configure profiling sessions, analyze kernel reports, interpret occupancy metrics, roofline model data, memory bandwidth bottlenecks, and warp execution efficiency. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/nsight-profiler) |
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| `linker-script` | adjacent | GNU linker script generation and optimization for embedded systems. Expert skill for memory layout definition, section placement, multi-image linking, and memory protection configuration. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/embedded-systems/skills/linker-script) |
|
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||||
## Source: aaron-he-zhu/aaron-marketing-skills
|
||||
|
||||
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `memory-management` | adjacent | Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/protocol/memory-management) |
|
||||
|
||||
## 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)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `agentic-os` | adjacent | Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/agentic-os) |
|
||||
| `autonomous-agent-harness` | adjacent | Transform Claude Code into a fully autonomous agent system with persistent memory, scheduled operations, computer use, and task queuing. Replaces standalone agent frameworks (Hermes, AutoGPT) by leveraging Claude Code's native crons, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/autonomous-agent-harness) |
|
||||
| `nutrient-document-processing` | adjacent | Nutrient DWS API を使用してドキュメントの処理、変換、OCR、抽出、編集、署名、フォーム入力を行います。PDF、DOCX、XLSX、PPTX、HTML、画像に対応しています。 | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/docs/ja-JP/skills/nutrient-document-processing) |
|
||||
|
||||
## 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` | adjacent | 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) |
|
||||
| `memory-tasks` | adjacent | Task management via Basic Memory schemas: create, track, and resume structured tasks that survive context compaction. Uses BM's schema system for uniform notes queryable through the knowledge graph. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-tasks) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `post-acceptance` | core | This skill should be used when the user asks to "prepare conference presentation", "create presentation slides", "design poster", "make academic poster", "write promotion content", "create Twitter thread", or mentions post-acceptance … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/post-acceptance) |
|
||||
| `markitdown` | adjacent | Convert various file formats (PDF, Office documents, images, audio, web content, structured data) to Markdown optimized for LLM processing. Use when converting documents to markdown, extracting text from PDFs/Office files, transcribing … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/67-econfin-workflow-toolkit/markitdown) |
|
||||
| `code-review-excellence` | adjacent | This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/code-review-excellence) |
|
||||
| `system-profile` | adjacent | Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. Produces structured performance reports with actionable recommendations. Use when user says "profile", "benchmark", "bottleneck", … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/42-wanshuiyin-ARIS/skills/system-profile) |
|
||||
|
||||
## Source: davepoon/buildwithclaude
|
||||
|
||||
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `image-enhancer` | core | Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/image-enhancer) |
|
||||
| `googlesheets-automation` | adjacent | Automate Google Sheets operations (read, write, format, filter, manage spreadsheets) via Rube MCP (Composio). Read/write data, manage tabs, apply formatting, and search rows programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/googlesheets-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 |
|
||||
|---|---|---|---|
|
||||
| `image-enhancer` | core | Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/media/image-enhancer) |
|
||||
| `vaex` | adjacent | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/vaex) |
|
||||
| `agent-memory-mcp` | adjacent | A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agent-memory-mcp) |
|
||||
| `dask` | adjacent | Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/dask) |
|
||||
| `it-operations` | adjacent | Manages IT infrastructure, monitoring, incident response, and service reliability. Provides frameworks for ITIL service management, observability strategies, automation, backup/recovery, capacity planning, and operational excellence … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/it-operations) |
|
||||
| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/inference-serving-vllm) |
|
||||
| `agent-memory-systems` | adjacent | Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agent-memory-systems) |
|
||||
| `ai-agents-architect` | adjacent | Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/ai-agents-architect) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `vaex` | adjacent | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/vaex) |
|
||||
| `dask` | adjacent | Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/dask) |
|
||||
| `docx` | adjacent | Document toolkit (.docx). Create/edit documents, tracked changes, comments, formatting preservation, text extraction, for professional document processing. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/document-skills/docx) |
|
||||
| `sentry` | adjacent | Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry API; perform read-only queries with the bundled script and require `SENTRY_AUTH_TOKEN`. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/sentry) |
|
||||
| `xan` | adjacent | High-performance CSV processing with xan CLI for large tabular datasets, streaming transformations, and low-memory pipelines. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/xan) |
|
||||
| `xlsx` | adjacent | Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/xlsx) |
|
||||
|
||||
## Source: giuseppe-trisciuoglio/developer-kit
|
||||
|
||||
- Repository: [https://github.com/giuseppe-trisciuoglio/developer-kit](https://github.com/giuseppe-trisciuoglio/developer-kit) (commit `306f428`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `memory-md-management` | adjacent | Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate … | [source](https://github.com/giuseppe-trisciuoglio/developer-kit/tree/306f428/plugins/developer-kit-core/skills/memory-md-management) |
|
||||
|
||||
## Source: googleworkspace/cli
|
||||
|
||||
- Repository: [https://github.com/googleworkspace/cli](https://github.com/googleworkspace/cli) (commit `a3768d0`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `recipe-backup-sheet-as-csv` | adjacent | Export a Google Sheets spreadsheet as a CSV file for local backup or processing. | [source](https://github.com/googleworkspace/cli/tree/a3768d0/skills/recipe-backup-sheet-as-csv) |
|
||||
|
||||
## Source: harperreed/dotfiles
|
||||
|
||||
- Repository: [https://github.com/harperreed/dotfiles](https://github.com/harperreed/dotfiles) (commit `6b5ced1`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `summarize-meetings` | adjacent | Use when processing, summarizing, or extracting insights from meeting notes in the Obsidian vault. Triggers on "summarize meetings", "process meetings", "meeting summaries", "extract from meetings", "meeting insights". | [source](https://github.com/harperreed/dotfiles/tree/6b5ced1/.claude/skills-archive/summarize-meetings) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `post-processing` | core | Extract, analyze, and summarize simulation output data — pull spatial fields at specific timesteps, compute time-series trends and detect steady state, extract line profiles through the domain, generate statistical summaries and … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/post-processing) |
|
||||
|
||||
## Source: inkline/inkline
|
||||
|
||||
- Repository: [https://github.com/inkline/inkline](https://github.com/inkline/inkline) (commit `fcc2bf4`, retrieved 2026-07-14)
|
||||
- License: no explicit license — referenced by link only
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `starter-templates` | adjacent | Anatomy and maintenance of inkline-starter-* repos and examples — the two starter flavors, what every starter must include, per-framework specifics, and the clone-to-rendered-component-under-2-minutes bar. Use when creating or maintaining … | [source](https://github.com/inkline/inkline/tree/fcc2bf4/.claude/skills/starter-templates) |
|
||||
|
||||
## Source: JasonColapietro/suede-creator-skills
|
||||
|
||||
- Repository: [https://github.com/JasonColapietro/suede-creator-skills](https://github.com/JasonColapietro/suede-creator-skills) (commit `0dc2aef`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `suede-instagram-growth` | adjacent | Suede-owned Instagram growth operating system for account-specific audits, Reels, carousels, Stories, conversion mapping, calendars, and daily candidate-production loops. Use when the user names Instagram, IG, Reels, Stories, asks to … | [source](https://github.com/JasonColapietro/suede-creator-skills/tree/0dc2aef/skills/suede-instagram-growth) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `granola-core-workflow-b` | core | Post-meeting note processing, sharing, and follow-up workflows in Granola. Use when enhancing notes after meetings, sharing to Slack/Notion/CRM, drafting follow-up emails, or processing action items. Trigger: "granola post-meeting", "share … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-core-workflow-b) |
|
||||
| `twinmind-observability` | core | Monitor TwinMind transcription quality, meeting coverage, action item extraction rates, and memory vault health. Use when implementing observability, or managing TwinMind meeting AI operations. Trigger with phrases like "twinmind … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-observability) |
|
||||
| `granola-ci-integration` | core | Build automated pipelines from Granola meeting notes to GitHub Issues, Linear tasks, Slack notifications, and documentation updates using Zapier and GitHub Actions. Trigger: "granola CI", "granola automation pipeline", "granola to github", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-ci-integration) |
|
||||
| `granola-common-errors` | core | Troubleshoot common Granola errors \u2014 audio capture failures, transcription\ \ issues,\ncalendar sync problems, and integration errors. Platform-specific fixes\ \ for macOS and Windows.\nTrigger: \"granola error\", \"granola not … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/granola-pack/skills/granola-common-errors) |
|
||||
| `twinmind-reference-architecture` | adjacent | Production architecture for meeting AI systems using TwinMind: transcription pipeline, memory vault, action item workflow, and calendar integration. Use when implementing reference architecture, or managing TwinMind meeting AI operations. … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-reference-architecture) |
|
||||
| `memorystore-config` | adjacent | Configure memorystore config operations. Auto-activating skill for GCP Skills. Triggers on: memorystore config, memorystore config Part of the GCP Skills skill category. Use when configuring systems or services. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/14-gcp-skills/memorystore-config) |
|
||||
| `twinmind-data-handling` | adjacent | Handle TwinMind meeting data with GDPR compliance: transcript storage, memory vault management, data export, and deletion policies. Use when implementing data handling, or managing TwinMind meeting AI operations. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/twinmind-pack/skills/twinmind-data-handling) |
|
||||
| `calendar-event-creator` | adjacent | Create calendar event creator operations. Auto-activating skill for Business Automation. Triggers on: calendar event creator, calendar event creator Part of the Business Automation skill category. Use when working with calendar event … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/19-business-automation/calendar-event-creator) |
|
||||
| `excel-formula-generator` | adjacent | Generate excel formula generator operations. Auto-activating skill for Business Automation. Triggers on: excel formula generator, excel formula generator Part of the Business Automation skill category. Use when working with excel formula … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/19-business-automation/excel-formula-generator) |
|
||||
| `excel-macro-creator` | adjacent | Create excel macro creator operations. Auto-activating skill for Business Automation. Triggers on: excel macro creator, excel macro creator Part of the Business Automation skill category. Use when working with excel macro creator … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/19-business-automation/excel-macro-creator) |
|
||||
| `maintainx-migration-deep-dive` | adjacent | Execute complete platform migrations to or from MaintainX. Use when migrating from legacy CMMS systems, performing major re-platforming, or transitioning to MaintainX from spreadsheets or other tools. Trigger with phrases like "migrate to … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/maintainx-pack/skills/maintainx-migration-deep-dive) |
|
||||
| `memory-profiler-setup` | adjacent | Configure memory profiler setup operations. Auto-activating skill for Performance Testing. Triggers on: memory profiler setup, memory profiler setup Part of the Performance Testing skill category. Use when working with memory profiler … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/skills/10-performance-testing/memory-profiler-setup) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `vaex` | adjacent | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/vaex) |
|
||||
| `dask` | adjacent | Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/dask) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `vaex` | adjacent | Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/vaex) |
|
||||
| `dask` | adjacent | Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/dask) |
|
||||
|
||||
## 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-rootkit-activity` | adjacent | Detects rootkit presence on compromised systems by identifying hidden processes, hooked system calls, modified kernel structures, hidden files, and covert network connections using memory forensics, cross-view detection, and integrity … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-rootkit-activity) |
|
||||
| `analyzing-memory-dumps-with-volatility` | adjacent | Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes, injected code, network connections, loaded modules, and extracted credentials. Supports Windows, Linux, and macOS memory … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-dumps-with-volatility) |
|
||||
|
||||
## Source: nexu-io/open-design
|
||||
|
||||
- Repository: [https://github.com/nexu-io/open-design](https://github.com/nexu-io/open-design) (commit `4b66023`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `image-enhancer` | core | Improve image and screenshot quality by enhancing resolution, sharpness, and clarity for professional presentations and documentation. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/image-enhancer) |
|
||||
| `clinical-case-report` | core | Structured medical case presentation for clinical rounds, conferences, and documentation. Generates SOAP-format or narrative case reports with physiologically accurate vitals, labs, and evidence-based plans. Use when the brief mentions … | [source](https://github.com/nexu-io/open-design/tree/4b66023/design-templates/clinical-case-report) |
|
||||
|
||||
## 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-production-readiness` | core | Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-production-readiness) |
|
||||
|
||||
## Source: OpenSenseNova/SenseNova-Skills
|
||||
|
||||
- Repository: [https://github.com/OpenSenseNova/SenseNova-Skills](https://github.com/OpenSenseNova/SenseNova-Skills) (commit `d8bb438`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `excel-large-file-processing-and-cleaning` | adjacent | 读取多 sheet Excel 文件,动态识别目标列进行统计,并使用正则清洗文本字段提取中文字符,最终输出标准化 Excel 文件。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-reading/structured-header-reading) |
|
||||
| `excel-conditional-comparison-and-large-file-processing` | adjacent | 对比Excel多表中的特定系数并对异常值进行颜色标记。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-cell-coloring/duplicate-value-coloring) |
|
||||
| `text-normalization-and-large-file-processing` | adjacent | 对Excel文件进行文本标准化清洗(如去除异常前缀、提取纯中文字符等),并,最终输出清洗后的Excel文件并提供下载链接。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-data-cleaning/text-normalization) |
|
||||
|
||||
## Source: Orchestra-Research/AI-research-SKILLs
|
||||
|
||||
- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/12-inference-serving/vllm) |
|
||||
|
||||
## Source: parcadei/Continuous-Claude-v3
|
||||
|
||||
- Repository: [https://github.com/parcadei/Continuous-Claude-v3](https://github.com/parcadei/Continuous-Claude-v3) (commit `d07ff4b`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `system-overview` | adjacent | Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination | [source](https://github.com/parcadei/Continuous-Claude-v3/tree/d07ff4b/.claude/skills/system_overview) |
|
||||
|
||||
## 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` | adjacent | 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: qdrant/skills
|
||||
|
||||
- Repository: [https://github.com/qdrant/skills](https://github.com/qdrant/skills) (commit `2a06cb1`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `qdrant-monitoring-debugging` | core | Diagnoses Qdrant production issues using metrics and observability tools. Use when someone reports 'optimizer stuck', 'indexing too slow', 'memory too high', 'OOM crash', 'queries are slow', 'latency spike', or 'search was fast now it's … | [source](https://github.com/qdrant/skills/tree/2a06cb1/skills/qdrant-monitoring/debugging) |
|
||||
|
||||
## Source: ruvnet/claude-code-flow
|
||||
|
||||
- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
|
||||
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
|
||||
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
|
||||
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/v3-memory-unification) |
|
||||
|
||||
## Source: ruvnet/ruflo
|
||||
|
||||
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/hooks-automation) |
|
||||
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
|
||||
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/memory-management) |
|
||||
| `V3 Memory Unification` | adjacent | Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend). | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/v3-memory-unification) |
|
||||
|
||||
## Source: samber/cc-skills-golang
|
||||
|
||||
- Repository: [https://github.com/samber/cc-skills-golang](https://github.com/samber/cc-skills-golang) (commit `4881c01`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `golang-security` | core | Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-security) |
|
||||
|
||||
## Source: zechenzhangAGI/AI-research-SKILLs
|
||||
|
||||
- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `serving-llms-vllm` | adjacent | Serves LLMs with high throughput using vLLM's PagedAttention and continuous batching. Use when deploying production LLM APIs, optimizing inference latency/throughput, or serving models with limited GPU memory. Supports OpenAI-compatible … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/12-inference-serving/vllm) |
|
||||
61
references/market.md
Normal file
61
references/market.md
Normal file
@@ -0,0 +1,61 @@
|
||||
# Market evidence report — metal-additive-manufacturing-operator
|
||||
|
||||
Source: **5 real job ads** (JSearch API, countries: gb 4, us 1), 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 | 3 | 60 % |
|
||||
| n/a | 2 | 40 % |
|
||||
|
||||
## Tools — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Hard skills — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Methods — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Responsibilities — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Regional breakdown
|
||||
|
||||
> **Corpus note:** 5 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** — 1 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
|
||||
|
||||
### UK (gb)
|
||||
|
||||
**Insufficient evidence** — 4 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 |
|
||||
|---|---|
|
||||
| Additive Manufacturing (AM) De-Powdering Technician | 1 |
|
||||
| Additive Manufacturing Production Operator & Technician | 1 |
|
||||
| Additive Manufacturing Technician | Metal 3D Printing | 1 |
|
||||
| Directed Energy Deposition Technician | 1 |
|
||||
| Temporary Metal AM Technician | 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.
|
||||
22
references/profile.md
Normal file
22
references/profile.md
Normal file
@@ -0,0 +1,22 @@
|
||||
# Occupation profile — metal additive manufacturing operator
|
||||
|
||||
- **ESCO URI:** http://data.europa.eu/esco/occupation/418f3a43-a6b2-4101-aaa0-832fe7d82885
|
||||
- **ESCO code:** 3119.10
|
||||
- **ISCO-08 group:** 3119 — Physical and engineering science technicians not elsewhere classified
|
||||
|
||||
## Description (ESCO)
|
||||
|
||||
Metal additive manufacturing operators operate machines using additive manufacturing processes, such as fitting and setting up, maintenance and repair. They have factual and broad understanding in the field of metal additive manufacturing process. They are able to develop solutions on basic and specific problems related with additive manufacturing machines and processes and self-manage the handling of feedstock (approval, storage, contamination, traceability).
|
||||
|
||||
## Definition
|
||||
|
||||
nan
|
||||
|
||||
## Alternative labels
|
||||
|
||||
- metal AM technician
|
||||
- metal AM operator
|
||||
- AM operator
|
||||
- metal additive manufacturing technician
|
||||
- AM technician
|
||||
- additive manufacturing technician
|
||||
110
references/skills.md
Normal file
110
references/skills.md
Normal file
@@ -0,0 +1,110 @@
|
||||
# Competences — metal additive manufacturing operator
|
||||
|
||||
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/418f3a43-a6b2-4101-aaa0-832fe7d82885).
|
||||
|
||||
## Essential
|
||||
|
||||
- **apply health and safety standards** (skill/competence)
|
||||
- **ensure compliance with environmental legislation** (skill/competence)
|
||||
- **follow work schedule** (skill/competence)
|
||||
- **functionalities of machinery** (knowledge)
|
||||
- **liaise with engineers** (skill/competence)
|
||||
- **liaise with managers** (skill/competence)
|
||||
- **machine tools** (knowledge)
|
||||
- **maintain additive manufacturing systems** (skill/competence)
|
||||
- **maintenance operations** (knowledge)
|
||||
- **manufacture metal additive manufacturing parts** (skill/competence)
|
||||
- **monitor machine operations** (skill/competence)
|
||||
- **operate precision measuring equipment** (skill/competence)
|
||||
- **perform machine maintenance** (skill/competence)
|
||||
- **prepare parts for post processing** (skill/competence)
|
||||
- **quality assurance procedures** (knowledge)
|
||||
- **remove processed workpiece** (skill/competence)
|
||||
- **set up additive manufacturing systems** (skill/competence)
|
||||
- **troubleshoot** (skill/competence)
|
||||
- **use personal protection equipment** (skill/competence)
|
||||
- **waste management** (knowledge)
|
||||
- **work safely with machines** (skill/competence)
|
||||
- **write production reports** (skill/competence)
|
||||
|
||||
## Optional
|
||||
|
||||
- handle metal powder (skill/competence)
|
||||
- metal and metal ore products (knowledge)
|
||||
- train crew members (skill/competence)
|
||||
- verify laser beam measurement (skill/competence)
|
||||
- write calibration report (skill/competence)
|
||||
|
||||
<!-- market-evidence -->
|
||||
|
||||
## Market evidence (job-ad analysis, 5 ads, as of 2026-07-17)
|
||||
|
||||
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||
|
||||
### Hard skills
|
||||
|
||||
- additive manufacturing — **40 %**
|
||||
- quality control — **40 %**
|
||||
- precision engineering — **20 %**
|
||||
- preventative maintenance — **20 %**
|
||||
- motion control integration — **20 %**
|
||||
- part processing — **20 %**
|
||||
- post-processing — **20 %**
|
||||
- powder handling — **20 %**
|
||||
- system maintenance — **20 %**
|
||||
- technical drawing interpretation — **20 %**
|
||||
- troubleshooting — **20 %**
|
||||
- additive manufacturing operation — **20 %**
|
||||
- cad/cam programming — **20 %**
|
||||
- cnc machining — **20 %**
|
||||
- component inspection — **20 %**
|
||||
- data documentation — **20 %**
|
||||
- equipment maintenance — **20 %**
|
||||
- component cleaning — **20 %**
|
||||
- feedstock purchasing — **20 %**
|
||||
- inventory management — **20 %**
|
||||
- machine maintenance — **20 %**
|
||||
- material processing — **20 %**
|
||||
- mechanical aptitude — **20 %**
|
||||
- metal additive manufacturing — **20 %**
|
||||
- metal part production — **20 %**
|
||||
- metal powder handling — **20 %**
|
||||
|
||||
### Methods
|
||||
|
||||
- lean manufacturing — **20 %**
|
||||
- gd&t — **20 %**
|
||||
- continuous improvement — **20 %**
|
||||
- continuous improvement initiatives — **20 %**
|
||||
- sla (stereolithography) — **20 %**
|
||||
|
||||
### Responsibilities
|
||||
|
||||
- system operation — **20 %**
|
||||
- visual inspection — **20 %**
|
||||
- workstation maintenance — **20 %**
|
||||
- powder disposal — **20 %**
|
||||
- part production — **20 %**
|
||||
- part inspection — **20 %**
|
||||
- preventative maintenance performance — **20 %**
|
||||
- process monitoring — **20 %**
|
||||
- production data recording — **20 %**
|
||||
- routine maintenance scheduling — **20 %**
|
||||
- safety inspections — **20 %**
|
||||
- schedule adherence — **20 %**
|
||||
- corrective action implementation — **20 %**
|
||||
- collaboration with engineers and technicians — **20 %**
|
||||
- area maintenance — **20 %**
|
||||
- equipment maintenance — **20 %**
|
||||
- equipment operation — **20 %**
|
||||
- equipment troubleshooting — **20 %**
|
||||
- error identification — **20 %**
|
||||
- data documentation — **20 %**
|
||||
- depowdering operation — **20 %**
|
||||
- component finishing — **20 %**
|
||||
- machine operation — **20 %**
|
||||
- material purchasing — **20 %**
|
||||
- design modification — **20 %**
|
||||
- material preparation — **20 %**
|
||||
|
||||
<!-- market-evidence -->
|
||||
6
references/tasks.md
Normal file
6
references/tasks.md
Normal file
@@ -0,0 +1,6 @@
|
||||
# Tasks & work activities — metal additive manufacturing operator
|
||||
|
||||
Source: O*NET 30.3, occupation 51-4199.00 (Metal Workers and Plastic Workers, All Other) — manual nearest-occupation mapping via ISCO group 3119; the official ESCO crosswalk has no entry for this ESCO occupation.
|
||||
|
||||
## Task statements
|
||||
|
||||
26
references/tools.md
Normal file
26
references/tools.md
Normal file
@@ -0,0 +1,26 @@
|
||||
# Tools & technology — metal additive manufacturing operator
|
||||
|
||||
Source: O*NET 30.3, occupation 51-4199.00 (Metal Workers and Plastic Workers, All Other) — manual nearest-occupation mapping via ISCO group 3119; the official ESCO crosswalk has no entry for this ESCO occupation.
|
||||
|
||||
| Software | Category | Hot technology |
|
||||
|---|---|---|
|
||||
|
||||
<!-- market-evidence -->
|
||||
|
||||
## Market evidence (job-ad analysis, 5 ads, as of 2026-07-17)
|
||||
|
||||
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||
|
||||
### Tools
|
||||
|
||||
- Microsoft Office — **20 %**
|
||||
- MasterCAM — **20 %**
|
||||
- Gefertec ARC405 wire arc DED system — **20 %**
|
||||
- de-powdering systems — **20 %**
|
||||
- Creo — **20 %**
|
||||
- PowerMill — **20 %**
|
||||
- VRC Gen III cold spray system — **20 %**
|
||||
- vacuum units — **20 %**
|
||||
- SolidWorks — **20 %**
|
||||
|
||||
<!-- market-evidence -->
|
||||
Reference in New Issue
Block a user