feat: machinery-assembly-supervisor skill package v0.1.0
This commit is contained in:
31
PROVENANCE.md
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31
PROVENANCE.md
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# Data provenance — machinery-assembly-supervisor
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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 — machinery-assembly-supervisor
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"ESCO (occupation & competences)" : 37
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"O*NET (tasks & tools)" : 90
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"Job boards (market evidence)" : 46
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"Anthropic official Claude skills" : 5
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"External AI skill packs (mapped)" : 180
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```
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| Source | Items | Share | Files |
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|---|---|---|---|
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| ESCO (occupation & competences) | 37 | 10.3 % | references/profile.md, references/skills.md |
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| O*NET (tasks & tools) | 90 | 25.1 % | references/tasks.md, references/tools.md |
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| Job boards (market evidence) | 46 | 12.8 % | 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 | 1.4 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
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| External AI skill packs (mapped) | 180 | 50.3 % | 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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53
SKILL.md
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---
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name: machinery-assembly-supervisor
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description: "Occupational skill for the role 'machinery assembly supervisor' (also: leadingmachinist, machine charge hand, lead machine operative, machine team leader). Use when the user asks for typical machinery assembly supervisor work such as: typical machinery assembly supervisor responsibilities"
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---
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# Machinery Assembly Supervisor
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Machinery assembly supervisors monitor the machinery assembly process. They train and coach assembly workers to achieve production goals.
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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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- analyse the need for technical resources
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- communicate problems to senior colleagues
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- coordinate communication within a team
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- create solutions to problems
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- ensure finished product meet requirements
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- evaluate employees work
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- follow production schedule
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- keep records of work progress
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- liaise with managers
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- manage resources
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- oversee assembly operations
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- oversee production requirements
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- plan shifts of employees
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- quality standards
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- read standard blueprints
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## Hot technologies
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- Apple Safari
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- Autodesk AutoCAD
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- Extensible markup language XML
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- Kronos Workforce Timekeeper
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- Microsoft Access
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- Microsoft Excel
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- Microsoft Office software
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- Microsoft Outlook
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- Microsoft PowerPoint
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- Microsoft Project
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---
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*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/37f7677a-97d1-420b-a8b0-09339472121f), O*NET 30.3 (51-1011.00, manual nearest match). See manifest.json for licensing/attribution.*
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280
manifest.json
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280
manifest.json
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{
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"name": "machinery-assembly-supervisor",
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"title": "machinery assembly supervisor",
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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/37f7677a-97d1-420b-a8b0-09339472121f",
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"esco_code": "3122.3.4",
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"isco_group": "3122",
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"onet_soc": "51-1011.00",
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"crosswalk_match": "manual nearest via ISCO 3122 (First-Line Supervisors of Production and Operating Workers)"
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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": 16,
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"skills_optional": 20,
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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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"alirezarezvani/claude-skills": {
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"repo": "https://github.com/alirezarezvani/claude-skills",
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"commit": "0241f43",
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"license": "MIT",
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"skills": 2
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},
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"microsoft/skills": {
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||||
"repo": "https://github.com/microsoft/skills",
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"commit": "dc543aa",
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"license": "MIT",
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"skills": 1
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||||
},
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"mohitagw15856/pm-claude-skills": {
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||||
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
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"commit": "876fa30",
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"license": "MIT",
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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": 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": 3
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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": 4
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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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"codeaholicguy/ai-devkit": {
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||||
"repo": "https://github.com/codeaholicguy/ai-devkit",
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"commit": "c037861",
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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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"staruhub/ClaudeSkills": {
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"repo": "https://github.com/staruhub/ClaudeSkills",
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"commit": "3d4045d",
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"license": "MIT",
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"skills": 1
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},
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"Weizhena/Deep-Research-skills": {
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||||
"repo": "https://github.com/Weizhena/Deep-Research-skills",
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||||
"commit": "e5479f8",
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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": 4
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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": 2
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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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||||
"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": {
|
||||
"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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||||
"davepoon/buildwithclaude": {
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||||
"repo": "https://github.com/davepoon/buildwithclaude",
|
||||
"commit": "3c94e0c",
|
||||
"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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||||
"Orchestra-Research/AI-research-SKILLs": {
|
||||
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
|
||||
"commit": "773a529",
|
||||
"license": "MIT",
|
||||
"skills": 3
|
||||
},
|
||||
"zechenzhangAGI/AI-research-SKILLs": {
|
||||
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
|
||||
"commit": "773a529",
|
||||
"license": "MIT",
|
||||
"skills": 3
|
||||
},
|
||||
"samber/cc-skills-golang": {
|
||||
"repo": "https://github.com/samber/cc-skills-golang",
|
||||
"commit": "4881c01",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"aaron-he-zhu/aaron-marketing-skills": {
|
||||
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
|
||||
"commit": "b7b0b9f",
|
||||
"license": "Apache-2.0",
|
||||
"skills": 1
|
||||
},
|
||||
"giuseppe-trisciuoglio/developer-kit": {
|
||||
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
|
||||
"commit": "306f428",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"basicmachines-co/basic-memory": {
|
||||
"repo": "https://github.com/basicmachines-co/basic-memory",
|
||||
"commit": "53da71c",
|
||||
"license": "custom (see upstream LICENSE)",
|
||||
"skills": 2
|
||||
},
|
||||
"nexu-io/open-design": {
|
||||
"repo": "https://github.com/nexu-io/open-design",
|
||||
"commit": "4b66023",
|
||||
"license": "Apache-2.0",
|
||||
"skills": 1
|
||||
},
|
||||
"qdrant/skills": {
|
||||
"repo": "https://github.com/qdrant/skills",
|
||||
"commit": "2a06cb1",
|
||||
"license": "Apache-2.0",
|
||||
"skills": 1
|
||||
},
|
||||
"foryourhealth111-pixel/Vibe-Skills": {
|
||||
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
|
||||
"commit": "34429a8",
|
||||
"license": "Apache-2.0",
|
||||
"skills": 2
|
||||
},
|
||||
"HeshamFS/materials-simulation-skills": {
|
||||
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
|
||||
"commit": "fa1ce8d",
|
||||
"license": "Apache-2.0",
|
||||
"skills": 1
|
||||
},
|
||||
"ThinkInAIXYZ/deepchat": {
|
||||
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
|
||||
"commit": "f275c92",
|
||||
"license": "Apache-2.0",
|
||||
"skills": 2
|
||||
},
|
||||
"K-Dense-AI/claude-scientific-skills": {
|
||||
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
|
||||
"commit": "4d97e29",
|
||||
"license": "MIT",
|
||||
"skills": 2
|
||||
},
|
||||
"K-Dense-AI/scientific-agent-skills": {
|
||||
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
|
||||
"commit": "4d97e29",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"vibeeval/vibecosystem": {
|
||||
"repo": "https://github.com/vibeeval/vibecosystem",
|
||||
"commit": "cea9462",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"OthmanAdi/langsmith-fetch-skill": {
|
||||
"repo": "https://github.com/OthmanAdi/langsmith-fetch-skill",
|
||||
"commit": "1a995f1",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"wanshuiyin/Anti-Autoresearch": {
|
||||
"repo": "https://github.com/wanshuiyin/Anti-Autoresearch",
|
||||
"commit": "c7f7f0d",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
},
|
||||
"alinaqi/claude-bootstrap": {
|
||||
"repo": "https://github.com/alinaqi/claude-bootstrap",
|
||||
"commit": "f61ec87",
|
||||
"license": "MIT",
|
||||
"skills": 1
|
||||
}
|
||||
},
|
||||
"total_skills": 80,
|
||||
"tiers": {
|
||||
"core": 17,
|
||||
"adjacent": 63
|
||||
}
|
||||
},
|
||||
"provenance": {
|
||||
"items": {
|
||||
"esco": 37,
|
||||
"onet": 90,
|
||||
"jobads": 46,
|
||||
"wiki_ai": 0,
|
||||
"anthropic": 5,
|
||||
"ai_skills": 180,
|
||||
"stackx": 0
|
||||
},
|
||||
"share_percent": {
|
||||
"esco": 10.3,
|
||||
"onet": 25.1,
|
||||
"jobads": 12.8,
|
||||
"wiki_ai": 0.0,
|
||||
"anthropic": 1.4,
|
||||
"ai_skills": 50.3,
|
||||
"stackx": 0.0
|
||||
},
|
||||
"method": "content items per source category"
|
||||
},
|
||||
"collar": "white",
|
||||
"computer_work": true
|
||||
}
|
||||
378
references/ai-skills.md
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378
references/ai-skills.md
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@@ -0,0 +1,378 @@
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||||
# External AI agent skills — machinery-assembly-supervisor
|
||||
|
||||
Proven, publicly available AI agent skills mapped to this occupation.
|
||||
Nothing is copied from the sources: every entry is a name, a one-line
|
||||
summary and a link to the upstream skill package. Each section names
|
||||
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` =
|
||||
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,
|
||||
tiered against market evidence + ESCO essentials) by
|
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`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
|
||||
|
||||
## Source: anthropics/skills
|
||||
|
||||
- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `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) |
|
||||
|
||||
## Source: a5c-ai/babysitter
|
||||
|
||||
- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `gas-optimization` | core | Advanced gas optimization techniques for EVM smart contracts. Covers storage packing, memory vs calldata optimization, assembly/Yul, efficient data structures, batch operations, and benchmark-driven optimization strategies. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/cryptography-blockchain/skills/gas-optimization) |
|
||||
| `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) |
|
||||
| `context-engineering` | adjacent | Context window monitoring and budget management. Keeps orchestrator at 15-30% context usage while subagents get full 200k tokens. Provides warnings at thresholds, context-aware summarization triggers, and wave-level budget planning. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/gsd/skills/context-engineering) |
|
||||
| `memory-summarization` | adjacent | Conversation summarization for memory compression and context management | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/ai-agents-conversational/skills/memory-summarization) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `agent-architecture-audit` | core | Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/agent-architecture-audit) |
|
||||
| `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) |
|
||||
| `knowledge-ops` | adjacent | Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/knowledge-ops) |
|
||||
|
||||
## Source: alinaqi/claude-bootstrap
|
||||
|
||||
- Repository: [https://github.com/alinaqi/claude-bootstrap](https://github.com/alinaqi/claude-bootstrap) (commit `f61ec87`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `session-management` | adjacent | Context preservation, tiered summarization, resumability | [source](https://github.com/alinaqi/claude-bootstrap/tree/f61ec87/skills/session-management) |
|
||||
|
||||
## Source: alirezarezvani/claude-skills
|
||||
|
||||
- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `ceo-advisor` | core | Executive leadership guidance for strategic decision-making, organizational development, and stakeholder management. Use when planning strategy, preparing board presentations, managing investors, developing organizational culture, making … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/ceo-advisor) |
|
||||
| `founder-coach` | core | Personal leadership development for founders and first-time CEOs. Covers founder archetype identification, delegation frameworks, energy management, CEO calendar audits, leadership style evolution, blind spot identification, imposter … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/skills/founder-coach) |
|
||||
|
||||
## 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-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) |
|
||||
| `memory-schema` | adjacent | Schema lifecycle management for Basic Memory: discover unschemaed notes, infer schemas, create and edit schema definitions, validate notes, and detect drift. Use when working with structured note types (Task, Person, Meeting, etc.) to … | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-schema) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `code-review-excellence` | core | 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) |
|
||||
| `results-report` | core | This skill should be used when the user asks to "write an experiment report", "summarize experimental results", "do experiment retrospection", "write a results report", "写实验总结报告", "写实验复盘", or mentions turning completed experiment artifacts … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/results-report) |
|
||||
| `hud` | adjacent | Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/hud) |
|
||||
|
||||
## Source: codeaholicguy/ai-devkit
|
||||
|
||||
- Repository: [https://github.com/codeaholicguy/ai-devkit](https://github.com/codeaholicguy/ai-devkit) (commit `c037861`, retrieved 2026-07-14)
|
||||
- License: no explicit license — referenced by link only
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `memory` | core | AI DevKit · Use the memory CLI as a durable knowledge layer. Search before non-trivial work, store verified reusable knowledge, update stale entries, and avoid saving transcripts, secrets, or one-off task progress. | [source](https://github.com/codeaholicguy/ai-devkit/tree/c037861/skills/memory) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `google-calendar-automation` | adjacent | Automate Google Calendar events, scheduling, availability checks, and attendee management via Rube MCP (Composio). Create events, find free slots, manage attendees, and list calendars programmatically. | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/google-calendar-automation) |
|
||||
| `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 |
|
||||
|---|---|---|---|
|
||||
| `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) |
|
||||
| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agents-crewai) |
|
||||
| `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-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) |
|
||||
| `c-pro` | adjacent | Write efficient C code with proper memory management, pointer | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/c-pro) |
|
||||
| `context-window-management` | adjacent | Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long context. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/context-window-management) |
|
||||
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/get-available-resources) |
|
||||
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/agents-langchain) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `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) |
|
||||
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/get-available-resources) |
|
||||
|
||||
## 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: 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 |
|
||||
|---|---|---|---|
|
||||
| `performance-profiling` | adjacent | Identify computational bottlenecks, analyze parallel scaling, estimate memory requirements, and generate optimization recommendations for materials simulations — parse timing logs to find dominant phases (solver, assembly, I/O), evaluate … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/performance-profiling) |
|
||||
|
||||
## 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-social` | core | Suede-owned organic social strategy and content discipline. Use when planning platform mix, posts, threads, cross-platform calendars, repurposing, listening, engagement, or cadence for a founder or brand account. NOT FOR: … | [source](https://github.com/JasonColapietro/suede-creator-skills/tree/0dc2aef/skills/suede-social) |
|
||||
| `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 |
|
||||
|---|---|---|---|
|
||||
| `hyperflow-status` | core | Hyperflow project status. Use to see current hyperflow state — "what is hyperflow doing", "show task progress", "where are we". Read-only — reports in-flight tasks, memory count, and progress. Never modifies state or runs work. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/hyperflow/templates/antigravity/skills/hyperflow-status) |
|
||||
| `ink` | core | Content Marketing engineer — blog strategy, SEO, thought leadership, developer content, case studies, and content calendar. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/ink) |
|
||||
| `langchain-langgraph-checkpointing` | core | Persist LangGraph agent state correctly with MemorySaver and PostgresSaver\ \ \u2014\nthread_id discipline, JSON-serializable state rules, time-travel, schema\n\ migration. Use when adding chat memory, migrating from … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/langchain-py-pack/skills/langchain-langgraph-checkpointing) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
| `notion-load-scale` | adjacent | High-volume Notion operations: parallel requests within 3 req/sec, worker queues, database pagination at scale, incremental sync for large workspaces, and memory management for bulk operations. Trigger with phrases like "notion scale", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/notion-pack/skills/notion-load-scale) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
| `vertex-engine-inspector` | adjacent | Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when asked to inspect, validate, or audit an … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-ml/jeremy-vertex-engine/skills/vertex-engine-inspector) |
|
||||
| `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) |
|
||||
| `evernote-core-workflow-a` | adjacent | Execute Evernote primary workflow: Note Creation and Management. Use when creating notes, organizing content, managing notebooks, or implementing note-taking features. Trigger with phrases like "create evernote note", "evernote note … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/evernote-pack/skills/evernote-core-workflow-a) |
|
||||
| `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) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/get-available-resources) |
|
||||
| `treatment-plans` | adjacent | Generate concise (3-4 page), focused medical treatment plans in LaTeX/PDF format for all clinical specialties. Supports general medical treatment, rehabilitation therapy, mental health care, chronic disease management, perioperative care, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/treatment-plans) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `get-available-resources` | adjacent | This skill should be used at the start of any computationally intensive scientific task to detect and report available system resources (CPU cores, GPUs, memory, disk space). It creates a JSON file with resource information and strategic … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/get-available-resources) |
|
||||
|
||||
## Source: microsoft/skills
|
||||
|
||||
- Repository: [https://github.com/microsoft/skills](https://github.com/microsoft/skills) (commit `dc543aa`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `kql` | core | KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and … | [source](https://github.com/microsoft/skills/tree/dc543aa/.github/skills/kql) |
|
||||
|
||||
## Source: mohitagw15856/pm-claude-skills
|
||||
|
||||
- Repository: [https://github.com/mohitagw15856/pm-claude-skills](https://github.com/mohitagw15856/pm-claude-skills) (commit `876fa30`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `roadmap-presentation` | core | Create structured roadmap presentations calibrated to any audience. Use when asked to build a product roadmap, present roadmap to leadership, create a roadmap slide, or communicate quarterly plans to execs, teams, or customers. Produces an … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-planning/skills/roadmap-presentation) |
|
||||
| `decision-memo` | core | Write a crisp decision memo that drives a clear decision, not a discussion. Use when asked to write a decision memo, a recommendation memo, a one/six-pager for a decision, or to get leadership to decide something. Produces a decision memo … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-business/skills/decision-memo) |
|
||||
|
||||
## 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) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `pptx-generator` | adjacent | Create and edit PowerPoint presentations from scratch with PptxGenJS — MiniMax's production-tested deck pipeline. | [source](https://github.com/nexu-io/open-design/tree/4b66023/skills/pptx-generator) |
|
||||
|
||||
## 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` | adjacent | 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: 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 |
|
||||
|---|---|---|---|
|
||||
| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/crewai) |
|
||||
| `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) |
|
||||
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/langchain) |
|
||||
|
||||
## Source: OthmanAdi/langsmith-fetch-skill
|
||||
|
||||
- Repository: [https://github.com/OthmanAdi/langsmith-fetch-skill](https://github.com/OthmanAdi/langsmith-fetch-skill) (commit `1a995f1`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `langsmith-fetch` | adjacent | Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. … | [source](https://github.com/OthmanAdi/langsmith-fetch-skill/tree/1a995f1) |
|
||||
|
||||
## 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` | adjacent | 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$post task hooks, session management, Git integration, memory coordination, and neural pattern training … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/hooks-automation) |
|
||||
| `memory-management` | adjacent | AgentDB memory system with HNSW vector search. Provides 150x-12,500x faster pattern retrieval, persistent storage, and semantic search capabilities for learning and knowledge management. Use when: need to store successful patterns, … | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/memory-management) |
|
||||
| `AgentDB Memory Patterns` | adjacent | Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-memory-patterns) |
|
||||
| `AgentDB Performance Optimization` | adjacent | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/.agents/skills/agentdb-optimization) |
|
||||
|
||||
## Source: ruvnet/ruflo
|
||||
|
||||
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `Hooks Automation` | adjacent | Automated coordination, formatting, and learning from Claude Code operations using intelligent hooks with MCP integration. Includes pre$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) |
|
||||
| `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) |
|
||||
| `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) |
|
||||
| `AgentDB Performance Optimization` | adjacent | Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. | [source](https://github.com/ruvnet/ruflo/tree/73914bd/.agents/skills/agentdb-optimization) |
|
||||
|
||||
## 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` | adjacent | 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: staruhub/ClaudeSkills
|
||||
|
||||
- Repository: [https://github.com/staruhub/ClaudeSkills](https://github.com/staruhub/ClaudeSkills) (commit `3d4045d`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `deep-research` | core | Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need … | [source](https://github.com/staruhub/ClaudeSkills/tree/3d4045d/skills/Geek-skills-deep-research) |
|
||||
|
||||
## Source: ThinkInAIXYZ/deepchat
|
||||
|
||||
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
|
||||
- License: Apache-2.0
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `feishu-tools` | adjacent | Use the Feishu/Lark plugin MCP tools for Feishu documents, spreadsheets, knowledge content, and other matching workspace operations. | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/plugins/feishu/skills/feishu-tools) |
|
||||
| `memory-management` | adjacent | Guide the agent to recall, remember, and route durable learning into Memory, Skills, Scheduled Tasks, or Tape. | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/memory-management) |
|
||||
|
||||
## Source: vibeeval/vibecosystem
|
||||
|
||||
- Repository: [https://github.com/vibeeval/vibecosystem](https://github.com/vibeeval/vibecosystem) (commit `cea9462`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `knowledge-management` | adjacent | Proje bilgisini 4 katmanli yapida organize et. Aktif projeler, sorumluluk alanlari, referans kaynaklar ve arsiv. Progressive summarization ile bilgiyi katman katman ozumse. Second brain pattern'i ile codebase bilgisini yapilandir. | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/knowledge-management) |
|
||||
|
||||
## Source: wanshuiyin/Anti-Autoresearch
|
||||
|
||||
- Repository: [https://github.com/wanshuiyin/Anti-Autoresearch](https://github.com/wanshuiyin/Anti-Autoresearch) (commit `c7f7f0d`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `novelty-duplication-advisory` | adjacent | MEMO-ONLY prior-work overlap advisory: surfaces the two ADVISORY taxonomy signals neither a tool nor a model can decide from the paper alone — ADV-TRIVIAL-COMBINATION (standard A+B+C / 缝合 stapling) and ADV-DUPLICATE-PUBLICATION (repackaged … | [source](https://github.com/wanshuiyin/Anti-Autoresearch/tree/c7f7f0d/skills/novelty-duplication-advisory) |
|
||||
|
||||
## Source: Weizhena/Deep-Research-skills
|
||||
|
||||
- Repository: [https://github.com/Weizhena/Deep-Research-skills](https://github.com/Weizhena/Deep-Research-skills) (commit `e5479f8`, retrieved 2026-07-14)
|
||||
- License: MIT
|
||||
|
||||
| Skill | Tier | What it adds | Upstream |
|
||||
|---|---|---|---|
|
||||
| `research-report` | core | Summarize deep research results into markdown report, cover all fields, skip uncertain values. | [source](https://github.com/Weizhena/Deep-Research-skills/tree/e5479f8/skills/research-codex-en/research-report) |
|
||||
|
||||
## 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 |
|
||||
|---|---|---|---|
|
||||
| `crewai-multi-agent` | adjacent | Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/crewai) |
|
||||
| `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) |
|
||||
| `langchain` | adjacent | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/langchain) |
|
||||
77
references/market.md
Normal file
77
references/market.md
Normal file
@@ -0,0 +1,77 @@
|
||||
# Market evidence report — machinery-assembly-supervisor
|
||||
|
||||
Source: **11 real job ads** (JSearch API, countries: us 11), extracted into the MSSQL evidence store; as of 2026-07-15.
|
||||
This report contains extracted, aggregated facts only — no ad text is
|
||||
reproduced (copyright / platform terms).
|
||||
|
||||
## Seniority distribution
|
||||
|
||||
| Seniority | Ads | Share |
|
||||
|---|---|---|
|
||||
| lead | 6 | 55 % |
|
||||
| mid | 5 | 45 % |
|
||||
|
||||
## Tools — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
|
||||
## Hard skills — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
| 1 | quality control | 8 | 73 % |
|
||||
| 2 | safety compliance | 6 | 55 % |
|
||||
| 3 | performance evaluation | 4 | 36 % |
|
||||
| 4 | production management | 4 | 36 % |
|
||||
| 5 | staff scheduling | 4 | 36 % |
|
||||
| 6 | machine operation | 3 | 27 % |
|
||||
|
||||
## Methods — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
| 1 | lean manufacturing | 5 | 45 % |
|
||||
| 2 | continuous improvement | 4 | 36 % |
|
||||
| 3 | six sigma | 4 | 36 % |
|
||||
| 4 | standard operating procedures (SOPs) | 4 | 36 % |
|
||||
|
||||
## Responsibilities — full market ranking
|
||||
|
||||
| # | Item | Ads | Share |
|
||||
|---|---|---|---|
|
||||
| 1 | team leadership | 5 | 45 % |
|
||||
| 2 | assembly line supervision | 4 | 36 % |
|
||||
| 3 | production monitoring | 4 | 36 % |
|
||||
| 4 | quality issue resolution | 4 | 36 % |
|
||||
| 5 | workflow adjustment | 4 | 36 % |
|
||||
|
||||
## Regional breakdown
|
||||
|
||||
> **Corpus note:** 11 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** — 11 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 |
|
||||
|---|---|
|
||||
| Manufacturing Assembly Supervisor (2nd Shift) | 4 |
|
||||
| Assembly Supervisor | 2 |
|
||||
| Lead Machine Operator | 2 |
|
||||
| Lead CNC Machinist: 3-5 Axis Leader & Mentor | 1 |
|
||||
| Machine Operator Lead | 1 |
|
||||
| MACHINIST LEADER | 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.
|
||||
20
references/profile.md
Normal file
20
references/profile.md
Normal file
@@ -0,0 +1,20 @@
|
||||
# Occupation profile — machinery assembly supervisor
|
||||
|
||||
- **ESCO URI:** http://data.europa.eu/esco/occupation/37f7677a-97d1-420b-a8b0-09339472121f
|
||||
- **ESCO code:** 3122.3.4
|
||||
- **ISCO-08 group:** 3122 — Manufacturing supervisors
|
||||
|
||||
## Description (ESCO)
|
||||
|
||||
Machinery assembly supervisors monitor the machinery assembly process. They train and coach assembly workers to achieve production goals.
|
||||
|
||||
## Definition
|
||||
|
||||
nan
|
||||
|
||||
## Alternative labels
|
||||
|
||||
- leadingmachinist
|
||||
- machine charge hand
|
||||
- lead machine operative
|
||||
- machine team leader
|
||||
79
references/skills.md
Normal file
79
references/skills.md
Normal file
@@ -0,0 +1,79 @@
|
||||
# Competences — machinery assembly supervisor
|
||||
|
||||
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/37f7677a-97d1-420b-a8b0-09339472121f).
|
||||
|
||||
## Essential
|
||||
|
||||
- **analyse the need for technical resources** (skill/competence)
|
||||
- **communicate problems to senior colleagues** (skill/competence)
|
||||
- **coordinate communication within a team** (skill/competence)
|
||||
- **create solutions to problems** (skill/competence)
|
||||
- **ensure finished product meet requirements** (skill/competence)
|
||||
- **evaluate employees work** (skill/competence)
|
||||
- **follow production schedule** (skill/competence)
|
||||
- **keep records of work progress** (skill/competence)
|
||||
- **liaise with managers** (skill/competence)
|
||||
- **manage resources** (skill/competence)
|
||||
- **oversee assembly operations** (skill/competence)
|
||||
- **oversee production requirements** (skill/competence)
|
||||
- **plan shifts of employees** (skill/competence)
|
||||
- **quality standards** (knowledge)
|
||||
- **read standard blueprints** (skill/competence)
|
||||
- **report on production results** (skill/competence)
|
||||
|
||||
## Optional
|
||||
|
||||
- advise on machinery malfunctions (skill/competence)
|
||||
- analyse production processes for improvement (skill/competence)
|
||||
- check material resources (skill/competence)
|
||||
- ensure compliance with environmental legislation (skill/competence)
|
||||
- functionalities of machinery (knowledge)
|
||||
- identify hazards in the workplace (skill/competence)
|
||||
- integrate new products in manufacturing (skill/competence)
|
||||
- liaise with quality assurance (skill/competence)
|
||||
- monitor machine operations (skill/competence)
|
||||
- monitor manufacturing quality standards (skill/competence)
|
||||
- oversee logistics of finished products (skill/competence)
|
||||
- oversee quality control (skill/competence)
|
||||
- quality assurance methodologies (knowledge)
|
||||
- recruit personnel (skill/competence)
|
||||
- schedule regular machine maintenance (skill/competence)
|
||||
- send faulty equipment back to assembly line (skill/competence)
|
||||
- train employees (skill/competence)
|
||||
- undertake inspections (skill/competence)
|
||||
- wear appropriate protective gear (skill/competence)
|
||||
- write inspection reports (skill/competence)
|
||||
|
||||
<!-- market-evidence -->
|
||||
|
||||
## Market evidence (job-ad analysis, 11 ads, as of 2026-07-15)
|
||||
|
||||
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
|
||||
|
||||
### Hard skills
|
||||
|
||||
- quality control — **73 %**
|
||||
- safety compliance — **55 %**
|
||||
- staff scheduling — **36 %**
|
||||
- performance evaluation — **36 %**
|
||||
- production management — **36 %**
|
||||
- machine operation — **27 %**
|
||||
- machining — **18 %**
|
||||
|
||||
### Methods
|
||||
|
||||
- lean manufacturing — **45 %**
|
||||
- continuous improvement — **36 %**
|
||||
- standard operating procedures (SOPs) — **36 %**
|
||||
- six sigma — **36 %**
|
||||
|
||||
### Responsibilities
|
||||
|
||||
- team leadership — **45 %**
|
||||
- workflow adjustment — **36 %**
|
||||
- quality issue resolution — **36 %**
|
||||
- assembly line supervision — **36 %**
|
||||
- production monitoring — **36 %**
|
||||
- quality checks — **18 %**
|
||||
|
||||
<!-- market-evidence -->
|
||||
47
references/tasks.md
Normal file
47
references/tasks.md
Normal file
@@ -0,0 +1,47 @@
|
||||
# Tasks & work activities — machinery assembly supervisor
|
||||
|
||||
Source: O*NET 30.3, occupation 51-1011.00 (First-Line Supervisors of Production and Operating Workers) — manual nearest-occupation mapping via ISCO group 3122; the official ESCO crosswalk has no entry for this ESCO occupation.
|
||||
|
||||
## Task statements
|
||||
|
||||
- **[Core]** Conduct employee training in equipment operations or work and safety procedures, or assign employee training to experienced workers.
|
||||
- **[Core]** Keep records of employees' attendance and hours worked.
|
||||
- **[Core]** Recommend or execute personnel actions, such as hirings, evaluations, or promotions.
|
||||
- **[Core]** Evaluate employee performance.
|
||||
- **[Core]** Enforce safety and sanitation regulations.
|
||||
- **[Core]** Direct and coordinate the activities of employees engaged in the production or processing of goods, such as inspectors, machine setters, or fabricators.
|
||||
- **[Core]** Read and analyze charts, work orders, production schedules, and other records and reports to determine production requirements and to evaluate current production estimates and outputs.
|
||||
- **[Core]** Confer with other supervisors to coordinate operations and activities within or between departments.
|
||||
- **[Core]** Plan and establish work schedules, assignments, and production sequences to meet production goals.
|
||||
- **[Core]** Inspect materials, products, or equipment to detect defects or malfunctions.
|
||||
- **[Core]** Observe work and monitor gauges, dials, and other indicators to ensure that operators conform to production or processing standards.
|
||||
- **[Core]** Confer with management or subordinates to resolve worker problems, complaints, or grievances.
|
||||
- **[Core]** Interpret specifications, blueprints, job orders, and company policies and procedures for workers.
|
||||
- **[Core]** Maintain operations data, such as time, production, and cost records, and prepare management reports of production results.
|
||||
- **[Core]** Recommend or implement measures to motivate employees and to improve production methods, equipment performance, product quality, or efficiency.
|
||||
- **[Core]** Determine standards, budgets, production goals, and rates, based on company policies, equipment and labor availability, and workloads.
|
||||
- **[Core]** Requisition materials, supplies, equipment parts, or repair services.
|
||||
- **[Core]** Set up and adjust machines and equipment.
|
||||
- **[Core]** Calculate labor and equipment requirements and production specifications, using standard formulas.
|
||||
- **[Core]** Plan and develop new products and production processes.
|
||||
|
||||
## Detailed work activities
|
||||
|
||||
- Adjust equipment to ensure optimal performance.
|
||||
- Advise others on ways to improve processes or products.
|
||||
- Calculate specific material, equipment, or labor requirements for production.
|
||||
- Confer with others to resolve production problems or equipment malfunctions.
|
||||
- Determine metal or plastic production methods.
|
||||
- Direct operational or production activities.
|
||||
- Enforce rules or regulations.
|
||||
- Evaluate employee performance.
|
||||
- Exchange information with colleagues.
|
||||
- Inspect production equipment.
|
||||
- Install equipment attachments or components.
|
||||
- Instruct workers to use equipment or perform technical procedures.
|
||||
- Monitor equipment operation to ensure proper functioning.
|
||||
- Order materials, supplies, or equipment.
|
||||
- Perform human resources activities.
|
||||
- Plan production or operational procedures or sequences.
|
||||
- Record operational or production data.
|
||||
- Study blueprints or other instructions to determine equipment setup requirements.
|
||||
57
references/tools.md
Normal file
57
references/tools.md
Normal file
@@ -0,0 +1,57 @@
|
||||
# Tools & technology — machinery assembly supervisor
|
||||
|
||||
Source: O*NET 30.3, occupation 51-1011.00 (First-Line Supervisors of Production and Operating Workers) — manual nearest-occupation mapping via ISCO group 3122; the official ESCO crosswalk has no entry for this ESCO occupation.
|
||||
|
||||
| Software | Category | Hot technology |
|
||||
|---|---|---|
|
||||
| Apple Safari | Internet browser software | yes |
|
||||
| Autodesk AutoCAD | Computer aided design CAD software | yes |
|
||||
| Extensible markup language XML | Enterprise application integration software | yes |
|
||||
| Kronos Workforce Timekeeper | Time accounting software | yes |
|
||||
| Microsoft Access | Data base user interface and query software | yes |
|
||||
| Microsoft Excel | Spreadsheet software | yes |
|
||||
| Microsoft Office software | Office suite software | yes |
|
||||
| Microsoft Outlook | Electronic mail software | yes |
|
||||
| Microsoft PowerPoint | Presentation software | yes |
|
||||
| Microsoft Project | Project management software | yes |
|
||||
| Microsoft SharePoint | Document management software | yes |
|
||||
| Microsoft Word | Word processing software | yes |
|
||||
| Mozilla Firefox | Internet browser software | yes |
|
||||
| SAP software | Enterprise resource planning ERP software | yes |
|
||||
| Apple iWork Pages | Word processing software | |
|
||||
| Aptean Made2Manage | Enterprise resource planning ERP software | |
|
||||
| Bowen & Groves M1 ERP | Enterprise resource planning ERP software | |
|
||||
| Capterra Enterprise Resource Planning | Enterprise resource planning ERP software | |
|
||||
| Database software | Data base user interface and query software | |
|
||||
| Delphi Technology | Financial analysis software | |
|
||||
| Email software | Electronic mail software | |
|
||||
| Encompix ERP | Enterprise resource planning ERP software | |
|
||||
| Epicor Vantage ERP | Enterprise resource planning ERP software | |
|
||||
| Epicor Vista ERP | Enterprise resource planning ERP software | |
|
||||
| Exact MAX | Enterprise resource planning ERP software | |
|
||||
| GHG Clockwise | Human resources software | |
|
||||
| Giraffe Production Systems Giraffe Schedule System | Enterprise resource planning ERP software | |
|
||||
| Google Chrome | Internet browser software | |
|
||||
| HCSS HeavyJob | Project management software | |
|
||||
| IBM Notes | Electronic mail software | |
|
||||
| Intacct ERP | Enterprise resource planning ERP software | |
|
||||
| Integrated materials management systems | Materials requirements planning logistics and supply chain software | |
|
||||
| Materials management software | Materials requirements planning logistics and supply chain software | |
|
||||
| Microsoft Axapta | Enterprise resource planning ERP software | |
|
||||
| Microsoft Exchange | Electronic mail software | |
|
||||
| Microsoft Internet Explorer | Internet browser software | |
|
||||
| Microsoft Total Quality Control Management | Data base user interface and query software | |
|
||||
| Minitab | Analytical or scientific software | |
|
||||
| NetSuite NetERP | Enterprise resource planning ERP software | |
|
||||
| Operational databases | Data base user interface and query software | |
|
||||
| Oracle JD Edwards EnterpriseOne | Enterprise resource planning ERP software | |
|
||||
| QA Software QMS Materials Management | Materials requirements planning logistics and supply chain software | |
|
||||
| Resource planning software | Enterprise resource planning ERP software | |
|
||||
| Retain Resource Planning | Enterprise resource planning ERP software | |
|
||||
| SAP Business One | Enterprise resource planning ERP software | |
|
||||
| Supervisory control and data acquisition SCADA software | Industrial control software | |
|
||||
| SYSPRO business software | Enterprise resource planning ERP software | |
|
||||
| Technology Group International Enterprise 21 ERP | Enterprise resource planning ERP software | |
|
||||
| Timekeeping software | Time accounting software | |
|
||||
| Total quality management TQM software | Project management software | |
|
||||
| Work Technology WorkTech Time | Time accounting software | |
|
||||
Reference in New Issue
Block a user