feat: quality-engineer skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:56:25 +02:00
commit c17a66c8e1
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# Data provenance — quality-engineer
Where the content of this skill package comes from, counted by
content items (tasks, competences, tools, evidence entries, curated
knowledge). Rendered live by Gitea:
```mermaid
%%{init: {'theme':'base','themeVariables':{'pie1':'#f9a825','pie2':'#1e88e5','pie3':'#ff355e','pie4':'#d97757','pie5':'#8e24aa','pieOuterStrokeWidth':'0px','pieSectionTextColor':'#fff'}}}%%
pie showData
title Content sources — quality-engineer
"ESCO (occupation & competences)" : 38
"O*NET (tasks & tools)" : 106
"Job boards (market evidence)" : 96
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 174
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 38 | 9.1 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 106 | 25.3 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 96 | 22.9 % | references/market.md (full report) + "Market evidence" headline sections |
| Wikipedia & AI expert curation | 0 | 0.0 % | glossary, literature, usecases, intake, quality, evals/ |
| Anthropic official Claude skills | 5 | 1.2 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 174 | 41.5 % | references/ai-skills.md (per-source attribution inside) |
| Stack Exchange practitioner Q&A (CC-BY-SA) | 0 | 0.0 % | references/practitioner-qa.md (per-entry attribution inside) |
Licensing: O*NET (USDOL/ETA, CC BY 4.0) · ESCO (© European Union) ·
job-ad evidence via official APIs (JSearch/Adzuna) · Wikipedia content
paraphrased with source URLs — never copied · external AI skills are
linked, not copied (Apache-2.0/MIT/source-available, see ai-skills.md).

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---
name: quality-engineer
description: "Occupational skill for the role 'quality engineer' (also: product quality monitor, quality systems engineer, senior quality engineer, junior quality engineer, customer quality engineer, EV battery quality engineer). Use when the user asks for typical quality engineer work such as: Stop production if serious product defects are present.; Review and approve quality plans submitted by contractors.; Review statistical studies, technological advances, or regulatory standards and trends to stay abreast of issues in the field of quality control."
---
# Quality Engineer
Quality engineers define quality standards for the creation of products or services. They check to make sure the products and services are in compliance with the quality standards and they coordinate quality improvements.
## Core workflow
1. Stop production if serious product defects are present.
2. Review and approve quality plans submitted by contractors.
3. Review statistical studies, technological advances, or regulatory standards and trends to stay abreast of issues in the field of quality control.
4. Generate and maintain quality control operating budgets.
5. Evaluate new testing and sampling methodologies or technologies to determine usefulness.
6. Coordinate the selection and implementation of quality control equipment, such as inspection gauges.
7. Collect and analyze production samples to evaluate quality.
8. Verify that raw materials, purchased parts or components, in-process samples, and finished products meet established testing and inspection standards.
## How to use this skill
- Read [references/profile.md](references/profile.md) for the occupation profile and scope.
- Consult [references/tasks.md](references/tasks.md) for the full task and activity inventory.
- Check [references/skills.md](references/skills.md) for essential vs. optional competences.
- Check [references/tools.md](references/tools.md) for the software commonly used in this role.
- See [references/ai-skills.md](references/ai-skills.md) — matched external AI agent skills (per-source attribution).
## Key competences (essential)
- analyse test data
- define quality standards
- identify process improvements
- inspect quality of products
- perform risk analysis
- quality assurance methodologies
- quality assurance procedures
- quality standards
- recommend product improvements
- record test data
- report test findings
- set quality assurance objectives
- support implementation of quality management systems
- test procedures
- undertake inspections
## Hot technologies
- Atlassian JIRA
- Microsoft Access
- Microsoft SQL Server
- Structured query language SQL
- Adobe Acrobat
- Microsoft Outlook
- Extensible markup language XML
- SAP software
- Oracle Java
- Microsoft Office software
<!-- hot-tech -->
## Hot technologies
Top tools from 43 gated job ads (see references/market.md, as of 2026-07-19):
- Microsoft Office — 12 %
- Microsoft Excel — 9 %
- Minitab — 7 %
<!-- hot-tech -->
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/30c0943c-caa1-411d-b273-26f475971273), O*NET 30.3 (11-3051.01). See manifest.json for licensing/attribution.*

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{
"name": "quality-engineer",
"title": "quality engineer",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/30c0943c-caa1-411d-b273-26f475971273",
"esco_code": "2149.2.7",
"isco_group": "2149",
"onet_soc": "11-3051.01",
"crosswalk_match": "closeMatch"
},
"sources": [
{
"name": "ESCO",
"version": "1.2.1",
"url": "https://esco.ec.europa.eu/"
},
{
"name": "O*NET",
"version": "30.3",
"url": "https://www.onetcenter.org/",
"license": "CC BY 4.0"
}
],
"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",
"counts": {
"tasks": 27,
"dwas": 27,
"skills_essential": 16,
"skills_optional": 21,
"software": 51
},
"enrichment_ai_skills": {
"generated": "2026-07-14",
"method": "deterministic mapping (ISCO prefix + title/competence keywords)",
"sources": {
"anthropics/skills": {
"repo": "https://github.com/anthropics/skills",
"commit": "f6656c1",
"license": "Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available \u2014 see the LICENSE.txt in the upstream skill folder",
"skills": 2
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 4
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 5
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 4
},
"giuseppe-trisciuoglio/developer-kit": {
"repo": "https://github.com/giuseppe-trisciuoglio/developer-kit",
"commit": "306f428",
"license": "MIT",
"skills": 1
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 10
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 6
},
"AgriciDaniel/claude-blog": {
"repo": "https://github.com/AgriciDaniel/claude-blog",
"commit": "49842ea",
"license": "MIT",
"skills": 1
},
"infrasity-labs/dev-gtm-claude-skills": {
"repo": "https://github.com/infrasity-labs/dev-gtm-claude-skills",
"commit": "02cfefb",
"license": "MIT",
"skills": 3
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 6
},
"AgriciDaniel/claude-seo": {
"repo": "https://github.com/AgriciDaniel/claude-seo",
"commit": "6cf1ea9",
"license": "MIT",
"skills": 2
},
"aaron-he-zhu/aaron-marketing-skills": {
"repo": "https://github.com/aaron-he-zhu/aaron-marketing-skills",
"commit": "b7b0b9f",
"license": "Apache-2.0",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 7
},
"bitwize-music-studio/claude-ai-music-skills": {
"repo": "https://github.com/bitwize-music-studio/claude-ai-music-skills",
"commit": "96446de",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"AgriciDaniel/claude-ads": {
"repo": "https://github.com/AgriciDaniel/claude-ads",
"commit": "669c760",
"license": "MIT",
"skills": 1
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 2
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 2
},
"secondsky/claude-skills": {
"repo": "https://github.com/secondsky/claude-skills",
"commit": "c4889f6",
"license": "MIT",
"skills": 1
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"license": "Apache-2.0",
"skills": 1
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 5
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"samber/cc-skills-golang": {
"repo": "https://github.com/samber/cc-skills-golang",
"commit": "4881c01",
"license": "MIT",
"skills": 1
},
"SnailSploit/Claude-Red": {
"repo": "https://github.com/SnailSploit/Claude-Red",
"commit": "aeb41ec",
"license": "MIT",
"skills": 1
},
"0xwilliamortiz/claude-red": {
"repo": "https://github.com/0xwilliamortiz/claude-red",
"commit": "ad8436b",
"license": "MIT",
"skills": 1
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 1
},
"wanshuiyin/Auto-claude-code-research-in-sleep": {
"repo": "https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep",
"commit": "eb5c9d7",
"license": "MIT",
"skills": 1
},
"dshakes/compass": {
"repo": "https://github.com/dshakes/compass",
"commit": "9a588c1",
"license": "MIT",
"skills": 1
},
"affaan-m/everything-claude-code": {
"repo": "https://github.com/affaan-m/everything-claude-code",
"commit": "ed38744",
"license": "MIT",
"skills": 2
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 1
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 2
},
"ahacker-1/cre-agent-skills": {
"repo": "https://github.com/ahacker-1/cre-agent-skills",
"commit": "618734e",
"license": "Apache-2.0",
"skills": 1
},
"OpenSenseNova/SenseNova-Skills": {
"repo": "https://github.com/OpenSenseNova/SenseNova-Skills",
"commit": "d8bb438",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 78,
"adjacent": 2
}
},
"provenance": {
"items": {
"esco": 38,
"onet": 106,
"jobads": 96,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 174,
"stackx": 0
},
"share_percent": {
"esco": 9.1,
"onet": 25.3,
"jobads": 22.9,
"wiki_ai": 0.0,
"anthropic": 1.2,
"ai_skills": 41.5,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — quality-engineer
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.
**Tiers:** `core` = the skill directly exercises a top market hard
skill, tool or method (from gated job-ad evidence) or an essential
ESCO competence of this occupation; `adjacent` =
plausibly useful, secondary. Entries are capped at 12 per source
and 80 in total per occupation (core first,
strongest matches survive); everything beyond the caps is excluded
and logged in the pipeline audit trail, not in this package.
_Matched deterministically (ISCO group + title/competence keywords,
tiered against market evidence + ESCO essentials) by
`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) |
| `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: 0xwilliamortiz/claude-red
- Repository: [https://github.com/0xwilliamortiz/claude-red](https://github.com/0xwilliamortiz/claude-red) (commit `ad8436b`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `offensive-reporting` | core | Penetration test and red team report writing methodology. Covers executive summary structuring (risk-led narrative for non-technical readers), technical finding format (title, severity, affected scope, narrative, reproduction steps, … | [source](https://github.com/0xwilliamortiz/claude-red/tree/ad8436b/Skills/utility/offensive-reporting) |
## 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 |
|---|---|---|---|
| `tdd-enforcement` | core | Red-Green-Refactor TDD methodology with mandatory failing tests, minimal implementation, quality refactoring, and 80% coverage gating. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/everything-claude-code/skills/tdd-enforcement) |
| `A/B Test Design` | core | Statistical experiment design and analysis capabilities for product experimentation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/ab-test-design) |
| `A/B Test Statistical Analyzer` | core | Performs statistical analysis for A/B testing experiments | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/ab-test-statistical-analyzer) |
| `iso14971-risk-analyzer` | core | Comprehensive risk management skill implementing ISO 14971:2019 methodology for medical device risk analysis | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/biomedical-engineering/skills/iso14971-risk-analyzer) |
| `statistical-testing` | core | Apply statistical hypothesis testing, significance analysis, A/B test evaluation, and distribution comparisons for data science workflows. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/statistical-testing) |
| `root-cause-analyzer` | core | Systematic root cause identification skill with 5 Whys, fishbone diagrams, fault tree analysis, and hypothesis testing | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/business/operations/skills/root-cause-analyzer) |
| `failure-analysis` | core | Systematic failure analysis methodology for mechanical component failures | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/mechanical-engineering/skills/failure-analysis) |
## 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 |
|---|---|---|---|
| `domain-authority-auditor` | core | Use when auditing domain authority, trust, or citation credibility; runs a peer-relative 40-item CITE profile with evidence coverage and verified manipulation/penalty veto checks. Not for page-level content quality — use … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/seo-geo/monitor/domain-authority-auditor) |
## 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 |
|---|---|---|---|
| `benchmark-methodology` | core | Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/benchmark-methodology) |
| `competitive-report-structure` | core | Use after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/competitive-report-structure) |
## Source: AgriciDaniel/claude-ads
- Repository: [https://github.com/AgriciDaniel/claude-ads](https://github.com/AgriciDaniel/claude-ads) (commit `669c760`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ads-test` | core | Design and evaluate paid-ad experiments with hypotheses, randomization units, sample-size and duration assumptions, guardrails, platform experiment tools, analysis, and decision rules. Use for A/B test, split test, experiment design, … | [source](https://github.com/AgriciDaniel/claude-ads/tree/669c760/skills/ads-test) |
## Source: AgriciDaniel/claude-blog
- Repository: [https://github.com/AgriciDaniel/claude-blog](https://github.com/AgriciDaniel/claude-blog) (commit `49842ea`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-audit) |
## Source: AgriciDaniel/claude-seo
- Repository: [https://github.com/AgriciDaniel/claude-seo](https://github.com/AgriciDaniel/claude-seo) (commit `6cf1ea9`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `seo-content` | core | Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit". | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/skills/seo-content) |
| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/skills/seo-local) |
## Source: ahacker-1/cre-agent-skills
- Repository: [https://github.com/ahacker-1/cre-agent-skills](https://github.com/ahacker-1/cre-agent-skills) (commit `618734e`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cre-office` | core | CRE Office analysis suite - 8 specialist skills for U.S. office acquisitions, refinancings, lease-up, tenant credit, TI/LC underwriting, financing fit, and investment committee memo writing. | [source](https://github.com/ahacker-1/cre-agent-skills/tree/618734e/claude-code-plugins/cre-office) |
## Source: bitwize-music-studio/claude-ai-music-skills
- Repository: [https://github.com/bitwize-music-studio/claude-ai-music-skills](https://github.com/bitwize-music-studio/claude-ai-music-skills) (commit `96446de`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `researchers-verifier` | core | Performs quality control, citation validation, and fact-checking before human review. Use after research is complete to verify all sources and claims before production. | [source](https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/96446de/skills/researchers-verifier) |
## 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 |
|---|---|---|---|
| `f5` | core | Humanization Quality Verifier - Ensures transformation integrity and quality Validates that humanization preserves meaning, citations, and academic standards Use when: after G6 transformation, before final export, for quality assurance … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/f5) |
| `g2` | core | Publication Specialist - Writing, Review, Pre-registration & Quality Assurance Light VS applied: Avoids template-based writing + audience-specific message design Absorbed G3 (Peer Review Strategist), G4 (Pre-registration Composer), F1-F3 … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/g2) |
| `automated-review-guide` | core | AI-assisted peer review tools, workflows, and quality standards | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/paper-review/automated-review-guide) |
| `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) |
| `review-julia` | core | Run the Julia code review protocol on Julia scripts. Checks code quality, type stability, parallel computing patterns, and scientific computing standards. Produces a report without editing files. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/review-julia) |
| `econ-audit` | core | Audit economic analysis outputs (fiscal briefings, macro briefings, market research, longlists, and other quantitative economic documents) against methodology standards, academic literature, and common errors. Runs structured checks across … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/58-charlescoverdale-econstack/econ-audit) |
## Source: davila7/claude-code-templates
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `scientific-critical-thinking` | core | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-critical-thinking) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/exploratory-data-analysis) |
| `neuropixels-analysis` | core | Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuropixels 1.0/2.0 extracellular … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/neuropixels-analysis) |
| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/statistical-analysis) |
| `Ethical Hacking Methodology` | core | This skill should be used when the user asks to "learn ethical hacking", "understand penetration testing lifecycle", "perform reconnaissance", "conduct security scanning", "exploit vulnerabilities", or "write penetration test reports". It … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/security/ethical-hacking-methodology) |
| `matchms` | core | Mass spectrometry analysis. Process mzML/MGF/MSP, spectral similarity (cosine, modified cosine), metadata harmonization, compound ID, for metabolomics and MS data processing. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/matchms) |
| `code-review-excellence` | core | Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/productivity/code-review-excellence) |
| `Excel Analysis` | core | Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/enterprise-communication/excel-analysis) |
| `bioservices` | core | Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/bioservices) |
| `cobrapy` | core | Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cobrapy) |
## Source: dotnet/skills
- Repository: [https://github.com/dotnet/skills](https://github.com/dotnet/skills) (commit `79a2ada`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `exp-mock-usage-analysis` | core | Audits .NET test mock usage by tracing each mock setup through the production code's execution path to find dead, unreachable, redundant, or replaceable mocks. Use when the user asks to audit mock usage, find unused or unnecessary mock … | [source](https://github.com/dotnet/skills/tree/79a2ada/plugins/dotnet-experimental/skills/exp-mock-usage-analysis) |
## Source: dshakes/compass
- Repository: [https://github.com/dshakes/compass](https://github.com/dshakes/compass) (commit `9a588c1`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `systematic-debugging` | core | Use when something is broken — a failing test, panic, stack trace, error log, or wrong behavior whose cause isn't obvious. Reproduce it, form a hypothesis, PROVE the cause before changing code, then make the minimal root-cause fix and … | [source](https://github.com/dshakes/compass/tree/9a588c1/claude/skills/systematic-debugging) |
## 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 |
|---|---|---|---|
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scholar-evaluation) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-critical-thinking) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/exploratory-data-analysis) |
| `statistical-analysis` | core | Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statistical-analysis) |
| `designing-experiments` | core | Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/designing-experiments) |
## 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` | core | 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: hypnguyen1209/offensive-claude
- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `vulnerability-analysis` | core | Use when auditing source code for vulnerabilities — drive CodeQL/Semgrep/Joern to taint untrusted data source-to-sink across injection, memory safety, deserialization/prototype-pollution, secrets/crypto/authz/race, and supply-chain risks | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/vulnerability-analysis) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `blog-audit` | core | Full-site blog health assessment scanning all blog files for quality scores, orphan pages, topic cannibalization, stale content, and AI citation readiness. Spawns parallel subagents for comprehensive analysis. Produces per-post scores and … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-audit) |
| `seo-content` | core | Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says "content quality", "E-E-A-T", "content analysis", "readability check", "thin content", or "content audit". | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/seo-content) |
| `seo-local` | core | Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/seo-local) |
## Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `perplexity-observability` | core | Set up monitoring for Perplexity Sonar API with latency, cost, citation quality, and error tracking. Use when implementing monitoring dashboards, setting up alerts, or tracking Perplexity API health in production. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/perplexity-pack/skills/perplexity-observability) |
| `excel-variance-analyzer` | core | Analyze budget vs actual variances in Excel with drill-down and root cause analysis. Use when performing variance analysis or explaining budget differences. Trigger with phrases like ''excel variance'', ''analyze budget variance'', … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-variance-analyzer) |
## 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 |
|---|---|---|---|
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scholar-evaluation) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-critical-thinking) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/exploratory-data-analysis) |
| `statistical-analysis` | core | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/statistical-analysis) |
## 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 |
|---|---|---|---|
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scholar-evaluation) |
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-critical-thinking) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/exploratory-data-analysis) |
| `statistical-analysis` | core | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/statistical-analysis) |
## 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 |
|---|---|---|---|
| `ab-test-readout` | core | Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-data/skills/ab-test-readout) |
| `experiment-readout` | core | Analyse a finished A/B test and write an honest results readout with real statistics. Use when asked to read out an A/B test, analyse experiment results, check if a result is statistically significant, or decide ship/no-ship from test … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-dataeng/skills/experiment-readout) |
## 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) |
| `analyzing-memory-forensics-with-lime-and-volatility` | core | Performs Linux memory acquisition using LiME (Linux Memory Extractor) kernel module and analysis with Volatility 3 framework. Extracts process lists, network connections, bash history, loaded kernel modules, and injected code from Linux … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-memory-forensics-with-lime-and-volatility) |
| `conducting-memory-forensics-with-volatility` | core | Performs memory forensics analysis using Volatility 3 to extract evidence of malware execution, process injection, network connections, and credential theft from RAM dumps captured during incident response. Covers memory acquisition, … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/conducting-memory-forensics-with-volatility) |
| `detecting-process-injection-techniques` | core | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
| `performing-web-application-penetration-test` | core | Performs systematic security testing of web applications following the OWASP Web Security Testing Guide (WSTG) methodology to identify vulnerabilities in authentication, authorization, input validation, session management, and business … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-web-application-penetration-test) |
## Source: nexscope-ai/eCommerce-Skills
- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `price-optimization-tool` | core | Evaluate ecommerce price candidates using unit economics, historical observations, elasticity analysis, scenario modeling, and controlled experiments. Use when a seller asks what price to test, how price changes could affect contribution … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/price-optimization-tool) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-sc-review-dimensions` | core | Reviewer critique dimensions for peer review - implementation bias detection, test quality validation, completeness checks, and priority validation | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-sc-review-dimensions) |
| `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) |
| `nw-research-methodology` | core | Research output templates, distillation workflow, and quality standards for evidence-driven research | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-research-methodology) |
| `nw-interviewing-techniques` | core | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
| `nw-bdd-methodology` | core | BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-bdd-methodology) |
| `nw-stress-analysis` | core | Advanced architecture stress analysis methodology for designing systems that survive unknown stresses. Load when --residuality flag is used or when designing high-uncertainty, mission-critical systems. | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-stress-analysis) |
## Source: 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-data-analysis-and-report-generation` | core | 从Excel提取多类型数据并生成包含可视化图表与下载链接的综合分析报告。 | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-excel-workflow/capability/excel-result-export/report-generation-export) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cro-optimization` | core | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
| `data-warehouse-experimentation` | core | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/data-warehouse-experimentation) |
## Source: rohitg00/skillkit
- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `root-cause-analysis` | core | Performs systematic root cause analysis to identify the true source of bugs, errors, and unexpected behavior through structured investigation phases — not just treating symptoms. Use when a user reports a bug, crash, error, or broken … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/debugging/root-cause-analysis) |
## 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-troubleshooting` | core | Troubleshoot Golang programs systematically - find and fix the root cause. Use when encountering bugs, crashes, deadlocks, or unexpected behavior in Go code. Covers debugging methodology, common Go pitfalls, test-driven debugging, pprof … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-troubleshooting) |
## Source: secondsky/claude-skills
- Repository: [https://github.com/secondsky/claude-skills](https://github.com/secondsky/claude-skills) (commit `c4889f6`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `recommendation-system` | core | Deploy production recommendation systems with feature stores, caching, A/B testing. Use for personalization APIs, low latency serving, or encountering cache invalidation, experiment tracking, quality monitoring issues. | [source](https://github.com/secondsky/claude-skills/tree/c4889f6/plugins/recommendation-system/skills/recommendation-system) |
## Source: SnailSploit/Claude-Red
- Repository: [https://github.com/SnailSploit/Claude-Red](https://github.com/SnailSploit/Claude-Red) (commit `aeb41ec`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `offensive-reporting` | core | Penetration test and red team report writing methodology. Covers executive summary structuring (risk-led narrative for non-technical readers), technical finding format (title, severity, affected scope, narrative, reproduction steps, … | [source](https://github.com/SnailSploit/Claude-Red/tree/aeb41ec/Skills/utility/offensive-reporting) |
## Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: [https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) (commit `eb5c9d7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `system-profile` | core | Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says \"profile\", \"benchmark\", \"bottleneck\", or wants performance analysis. | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/skills-codex/system-profile) |
## Source: zebbern/claude-code-guide
- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ethical-hacking-methodology` | core | This skill should be used when the user asks to "learn ethical hacking", "understand penetration testing lifecycle", "perform reconnaissance", "conduct security scanning", "exploit vulnerabilities", or "write penetration test reports". It … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/ethical-hacking-methodology) |

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# Berufsbild (Deutschland) — Qualitätsingenieur/in
> **Quelle:** BERUFENET, Bundesagentur für Arbeit — Beruf-ID 5231,
> KldB 2010: B 27314 · via öffentliche BERUFENET-API,
> abgerufen 2026-07-12. Automatisches Label-Matching
> (Score 1.00); Inhalte paraphrasiert/gekürzt, Volltext beim
> Original: https://web.arbeitsagentur.de/berufenet/beruf/5231
## Aufgaben und Tätigkeiten kompakt
Qualitätsingenieure und -ingenieurinnen definieren Qualitätsnormen und untersuchen Risikofaktoren in Produktionsverfahren. Ziel ist es, Schwachstellen bereits in den frühen Phasen des Produktzyklus zu bemerken. Sie bewerten Verfahren unter dem Aspekt der Einhaltung von Qualitätsstandards und im Hinblick auf Verbesserungsmöglichkeiten. Sie dokumentieren Prüfergebnisse, erstellen Vorgabendokumente und führen Systemaudits durch. Außerdem weisen Qualitätsingenieure und -ingenieurinnen Mitarbeitende in das Qualitätsmanagementsystem ein, geben Prüfanweisungen und planen Prüfmittel, -abläufe und -verfahren.
## Tätigkeitsbezeichnungen
Qualitätsingenieur/in
Auch übliche Berufsbezeichnungen/SynonymeIngenieur/in für Qualitätsmanagement
Ingenieur/in für Qualitätssicherung
Berufsbezeichnung in englischer SpracheQuality Assurance Engineer (m/f)
## Die Tätigkeit im Überblick
Qualitätsingenieure und -ingenieurinnen legen Qualitätsstandards fest, kontrollieren diese und bewerten Risikopotenziale, z.B. bei der Herstellung von Produkten oder der Erbringung von Dienstleistungen.
## Trends
KI-gestützte Werkstoffprüfung und QualitätssicherungDer Einsatz von Künstlicher Intelligenz (KI) gewinnt in der Werkstoffprüfung und Qualitätssicherung zunehmend an Bedeutung. KI ermöglicht eine schnelle und präzise Analyse von komplexen Datenmengen. Besonders in sicherheitskritischen Branchen wie der Luft- und Raumfahrt und dem Energiesektor ist das ein entscheidender Vorteil. Der Einsatz von KI verbessert die Genauigkeit der Messergebnisse und die Reproduzierbarkeit der Analysen. Fach- und Führungskräfte in der Wertstoffprüfung und Qualitätssicherung werden sich mit diesen Entwicklungen auseinandersetzen.
## Aufgaben und Tätigkeiten im Einzelnen
Qualitätsstandards festlegen
Qualitätsnormen definieren, z.B. bei Neuprojekten und Auftragsänderungen
kundenspezifische Qualitätsvorgaben und -anforderungen umsetzen
Risikofaktoren und mögliche Schwachstellen frühzeitig eruieren, z.B. mithilfe von Fehlermöglichkeits- und Einflussanalysen (Methode, mit der Fehlerrisiken analysiert werden, um Fehler zu vermeiden und die technische Zuverlässigkeit in der Entwicklungsphase von neuen Produkten oder Prozessen zu erhöhen
" name="Fehlermöglichkeits- und Einfluss- bzw. Auswirkungsanalyse (FMEA)">FMEAs)
Maßnahmen zur Qualitätsverbesserung koordinieren
Produktionsverfahren im Hinblick auf Stärken und Verbesserungspotenziale bewerten
Prüfanweisungen, -mittel, -abläufe und -verfahren erstellen und pflegen
Systematische und unabhängige Untersuchung bzw. Prüfung einer Aktivität und deren Ergebnisse; Vorhandensein und sachgerechte Anwendung spezifischer Anforderungen werden dadurch beurteilt und dokumentiert
" name="Audit">Systemaudits durchführen und Zertifizierungsaudits vorbereiten
interne und externe Sicherheitsanalysen (Safety Audits) vorbereiten und durchführen
Mängel beseitigen, Prozesse optimieren
Mitarbeitende in das Qualitätsmanagementsystem einweisen
Bei der Auswahl von Dienstleistenden oder Lieferanten/Lieferantinnen mitwirken
## Arbeitsbereiche/Branchen
Qualitätsingenieure und -ingenieurinnen finden Beschäftigung in Unternehmen nahezu aller Wirtschaftsbereiche.

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# Market evidence report — quality-engineer
Source: **43 real job ads** (JSearch API, countries: us 43), extracted into the MSSQL evidence store; as of 2026-07-19.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 33 | 77 % |
| senior | 8 | 19 % |
| junior | 2 | 5 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Microsoft Office | 5 | 12 % |
| 2 | Microsoft Excel | 4 | 9 % |
| 3 | Minitab | 3 | 7 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 17 | 40 % |
| 2 | corrective action implementation | 16 | 37 % |
| 3 | root cause analysis | 16 | 37 % |
| 4 | process improvement | 12 | 28 % |
| 5 | quality assurance | 11 | 26 % |
| 6 | risk assessment | 6 | 14 % |
| 7 | statistical analysis | 6 | 14 % |
| 8 | auditing | 5 | 12 % |
| 9 | inspection | 5 | 12 % |
| 10 | internal auditing | 5 | 12 % |
| 11 | continuous improvement | 4 | 9 % |
| 12 | problem solving | 4 | 9 % |
| 13 | quality control | 4 | 9 % |
| 14 | quality engineering | 4 | 9 % |
| 15 | risk management | 4 | 9 % |
| 16 | statistical process control | 4 | 9 % |
| 17 | failure analysis | 3 | 7 % |
| 18 | process auditing | 3 | 7 % |
| 19 | quality improvement | 3 | 7 % |
| 20 | root cause investigation | 3 | 7 % |
| 21 | supplier evaluation | 3 | 7 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | lean manufacturing | 12 | 28 % |
| 2 | six sigma | 10 | 23 % |
| 3 | iso 9001 | 6 | 14 % |
| 4 | FMEA | 5 | 12 % |
| 5 | 8d methodology | 4 | 9 % |
| 6 | 8D problem solving | 4 | 9 % |
| 7 | SPC | 4 | 9 % |
| 8 | APQP | 3 | 7 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | quality issue resolution | 4 | 9 % |
| 2 | corrective action implementation | 3 | 7 % |
| 3 | data analysis | 3 | 7 % |
| 4 | data collection | 3 | 7 % |
| 5 | process improvement | 3 | 7 % |
| 6 | quality standard development | 3 | 7 % |
## Regional breakdown
> **Corpus note:** 43 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
43 ads.
**Top hard skills:**
- data analysis — 40 % (17 ads)
- corrective action implementation — 37 % (16 ads)
- root cause analysis — 37 % (16 ads)
- process improvement — 28 % (12 ads)
- quality assurance — 26 % (11 ads)
- risk assessment — 14 % (6 ads)
- statistical analysis — 14 % (6 ads)
- auditing — 12 % (5 ads)
- inspection — 12 % (5 ads)
- internal auditing — 12 % (5 ads)
**Top tools:**
- Microsoft Office — 12 % (5 ads)
- Microsoft Excel — 9 % (4 ads)
- Minitab — 7 % (3 ads)
- JMeter — 5 % (2 ads)
- Playwright — 5 % (2 ads)
- SAP — 5 % (2 ads)
- selenium — 5 % (2 ads)
**Seniority:** mid 77 % · senior 19 % · junior 5 %
### 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 |
|---|---|
| Quality Engineer | 6 |
| (USA) Quality Engineer | 1 |
| Aerospace Quality Engineer- Level 1 | 1 |
| Aerospace Supplier Quality Engineer | 1 |
| Engineer Supplier QA | 1 |
| Field Quality Engineer | 1 |
| Manufacturing Quality Engineer | 1 |
| Manufacturing Quality Engineer: Growth & Process Excellence | 1 |
| Night QA Coordinator: Food Safety & Production Quality | 1 |
| Oracle HCM Cloud Test Automation & Quality Engineer | 1 |
| Product Quality Engineer - Data Center Manufacturing | 1 |
| Product Quality Engineer/ Automation Specialist (Clearance Rq'd) | 1 |
| Quality Assurance Engineer | 1 |
| Quality Assurance Specialist Sr. | 1 |
| Quality Engineer - NCE Remediation | 1 |
| Quality Engineer - NDT | 1 |
| Quality Engineer (Product Transfer Validation) | 1 |
| Quality Engineer [Must have Complaint Handling exp] | 1 |
| Quality Engineer I | 1 |
| Quality Engineer II | 1 |
| Quality Engineer II - Lean Six Sigma in Manufacturing | 1 |
| Quality Engineer II Data-Driven Quality & Kaizen | 1 |
| Quality Engineer IV | 1 |
| Quality Engineer, Aerospace & Defense — 9/80 Schedule | 1 |
| Quality Engineer, CAPA & QC in Life Sciences | 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.

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# Occupation profile — quality engineer
- **ESCO URI:** http://data.europa.eu/esco/occupation/30c0943c-caa1-411d-b273-26f475971273
- **ESCO code:** 2149.2.7
- **ISCO-08 group:** 2149 — Engineering professionals not elsewhere classified
- **O*NET-SOC:** 11-3051.01 — Quality Control Systems Managers (match: closeMatch)
## Description (ESCO)
Quality engineers define quality standards for the creation of products or services. They check to make sure the products and services are in compliance with the quality standards and they coordinate quality improvements.
## Definition
nan
## Alternative labels
- product quality monitor
- quality systems engineer
- senior quality engineer
- junior quality engineer
- customer quality engineer
- EV battery quality engineer
- QA engineer
- software quality assurance engineer
- supplier quality engineer
- battery quality engineer
- quality assurance engineer
- software quality engineer
- firmware and diagnostics quality engineer

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# Competences — quality engineer
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/30c0943c-caa1-411d-b273-26f475971273).
## Essential
- **analyse test data** (skill/competence)
- **define quality standards** (skill/competence)
- **identify process improvements** (skill/competence)
- **inspect quality of products** (skill/competence)
- **perform risk analysis** (skill/competence)
- **quality assurance methodologies** (knowledge)
- **quality assurance procedures** (knowledge)
- **quality standards** (knowledge)
- **recommend product improvements** (skill/competence)
- **record test data** (skill/competence)
- **report test findings** (skill/competence)
- **set quality assurance objectives** (skill/competence)
- **support implementation of quality management systems** (skill/competence)
- **test procedures** (knowledge)
- **undertake inspections** (skill/competence)
- **write inspection reports** (skill/competence)
## Optional
- audit techniques (knowledge)
- check quality of products on the production line (skill/competence)
- check quality of raw materials (skill/competence)
- communicate test results to other departments (skill/competence)
- communication (knowledge)
- define manufacturing quality criteria (skill/competence)
- ensure compliance with company regulations (skill/competence)
- ensure compliance with legal requirements (skill/competence)
- industrial engineering (knowledge)
- lead inspections (skill/competence)
- lean manufacturing (knowledge)
- maintain test equipment (skill/competence)
- manage budgets (skill/competence)
- manufacturing processes (knowledge)
- materials engineering (knowledge)
- non-destructive testing (knowledge)
- oversee quality control (skill/competence)
- perform pre-assembly quality checks (skill/competence)
- perform project management (skill/competence)
- train employees (skill/competence)
- use measurement instruments (skill/competence)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 43 ads, as of 2026-07-19)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **40 %**
- root cause analysis — **37 %**
- corrective action implementation — **37 %**
- process improvement — **28 %**
- quality assurance — **26 %**
### Methods
- lean manufacturing — **28 %**
- six sigma — **23 %**
<!-- market-evidence -->

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# Tasks & work activities — quality engineer
Source: O*NET 30.3, occupation 11-3051.01 (Quality Control Systems Managers).
## Task statements
- **[Core]** Stop production if serious product defects are present.
- **[Core]** Review and approve quality plans submitted by contractors.
- **[Core]** Review statistical studies, technological advances, or regulatory standards and trends to stay abreast of issues in the field of quality control.
- **[Core]** Generate and maintain quality control operating budgets.
- **[Core]** Evaluate new testing and sampling methodologies or technologies to determine usefulness.
- **[Core]** Coordinate the selection and implementation of quality control equipment, such as inspection gauges.
- **[Core]** Collect and analyze production samples to evaluate quality.
- **[Core]** Verify that raw materials, purchased parts or components, in-process samples, and finished products meet established testing and inspection standards.
- **[Core]** Review quality documentation necessary for regulatory submissions and inspections.
- **[Core]** Review and update standard operating procedures or quality assurance manuals.
- **[Core]** Produce reports regarding nonconformance of products or processes, daily production quality, root cause analyses, or quality trends.
- **[Core]** Participate in the development of product specifications.
- **[Core]** Monitor development of new products to help identify possible problems for mass production.
- **[Core]** Instruct vendors or contractors on quality guidelines, testing procedures, or ways to eliminate deficiencies.
- **[Core]** Identify quality problems or areas for improvement and recommend solutions.
- **[Core]** Instruct staff in quality control and analytical procedures.
- **[Core]** Identify critical points in the manufacturing process and specify sampling procedures to be used at these points.
- **[Core]** Document testing procedures, methodologies, or criteria.
- **[Core]** Direct the tracking of defects, test results, or other regularly reported quality control data.
- **[Core]** Create and implement inspection and testing criteria or procedures.
- **[Core]** Confer with marketing and sales departments to define client requirements and expectations.
- **[Core]** Communicate quality control information to all relevant organizational departments, outside vendors, or contractors.
- **[Core]** Analyze quality control test results and provide feedback and interpretation to production management or staff.
- **[Core]** Oversee workers including supervisors, inspectors, or laboratory workers engaged in testing activities.
- **[Core]** Monitor performance of quality control systems to ensure effectiveness and efficiency.
- **[Core]** Direct product testing activities throughout production cycles.
- **[Supplemental]** Audit and inspect subcontractor facilities including external laboratories.
## Detailed work activities
- Advise customers on technical or procedural issues.
- Analyze data to assess operational or project effectiveness.
- Analyze data to inform operational decisions or activities.
- Communicate organizational information to customers or other stakeholders.
- Communicate organizational policies and procedures.
- Conduct employee training programs.
- Confer with organizational members to accomplish work activities.
- Develop operating strategies, plans, or procedures.
- Develop organizational methods or procedures.
- Develop specifications for new products or processes.
- Direct operational or production activities.
- Direct organizational operations, projects, or services.
- Document organizational or operational procedures.
- Evaluate new technologies or methods.
- Evaluate quality of materials or products.
- Implement organizational process or policy changes.
- Inspect condition or functioning of facilities or equipment.
- Maintain knowledge of current developments in area of expertise.
- Manage control system activities in organizations.
- Monitor facilities or operational systems.
- Monitor organizational procedures to ensure proper functioning.
- Prepare operational budgets.
- Prepare operational progress or status reports.
- Recommend organizational process or policy changes.
- Review details of technical drawings or specifications.
- Review documents or materials for compliance with policies or regulations.
- Supervise employees.

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# Tools & technology — quality engineer
Source: O*NET 30.3 'Software Skills' for 11-3051.01.
| Software | Category | Hot technology |
|---|---|---|
| Atlassian JIRA | Content workflow software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| Microsoft SQL Server | Data base user interface and query software | yes |
| Structured query language SQL | Data base user interface and query software | yes |
| Adobe Acrobat | Document management software | yes |
| Microsoft Outlook | Electronic mail software | yes |
| Extensible markup language XML | Enterprise application integration software | yes |
| SAP software | Enterprise resource planning ERP software | yes |
| Oracle Java | Object or component oriented development software | yes |
| Microsoft Office software | Office suite software | yes |
| Linux | Operating system software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Visio | Process mapping and design software | yes |
| Selenium | Program testing software | yes |
| Microsoft Project | Project management software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Word | Word processing software | yes |
| Abbott Informatics STARLIMS:LIMS | Analytical or scientific software | |
| Computing Solutions LabSoft LIMS | Analytical or scientific software | |
| Core Informatics Laboratory Information Management System LIMS | Analytical or scientific software | |
| Illumina Laboratory Information Management System LIMS | Analytical or scientific software | |
| Lablite Laboratory Information Management Systems LIMS | Analytical or scientific software | |
| Labvantage Solutions LIMS | Analytical or scientific software | |
| Minitab | Analytical or scientific software | |
| Pearson Education PHStat2 | Analytical or scientific software | |
| PQ Systems SQCpack | Analytical or scientific software | |
| Promium Element DataSystem LIMS | Analytical or scientific software | |
| Quality Systems International WinLIMS | Analytical or scientific software | |
| Statgraphics | Analytical or scientific software | |
| Systat Software LISA.lims | Analytical or scientific software | |
| Thermo Fisher Scientific Laboratory Information Management Systems LIMS | Analytical or scientific software | |
| EtQ Reliance | Compliance software | |
| Sparta Systems TrackWise | Compliance software | |
| Database software | Data base user interface and query software | |
| Harrington Group caWeb | Data base user interface and query software | |
| Eko | Desktop communications software | |
| ASI DATAMYTE GageMetrics | Industrial control software | |
| ASI DATAMYTE QDA | Industrial control software | |
| ASIDATAMYTE DataMetrics | Industrial control software | |
| CAMA Software Quality Collaboration By Design QCBD | Industrial control software | |
| CEBOS MQ1 software | Industrial control software | |
| Harrington Group HQMS | Industrial control software | |
| Infinity QS ProFicient | Industrial control software | |
| Laboratory Automated Quality Control Systems LAQC | Industrial control software | |
| PQ Systems CHARTrunner Lean | Industrial control software | |
| PQ Systems GAGEpack | Industrial control software | |
| PQ Systems MEASUREspy | Industrial control software | |
| Vivaldi Software Vivaldi Quality Management | Industrial control software | |
| Web browser software | Internet browser software | |
| Hewlett Packard LoadRunner | Program testing software | |
| MasterControl software | Risk management data and analysis software | |