feat: industrial-engineer skill package v0.1.0

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skillfactor-pipeline
2026-08-14 16:49:31 +02:00
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# Data provenance — industrial-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 — industrial-engineer
"ESCO (occupation & competences)" : 78
"O*NET (tasks & tools)" : 164
"Job boards (market evidence)" : 150
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 162
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 78 | 14.0 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 164 | 29.3 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 150 | 26.8 % | 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 | 0.9 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 162 | 29.0 % | 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: industrial-engineer
description: "Occupational skill for the role 'industrial engineer' (also: industrial engineering consultant, industrial engineering expert, industrial technology engineering expert, industrial technology engineer, industrial engineering adviser, industrial technology engineering adviser). Use when the user asks for typical industrial engineer work such as: Test selected products at specified stages in the production process for performance characteristics or adherence to specifications.; Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance.; Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency."
---
# Industrial Engineer
Industrial engineers design a vast array of production systems aiming to present efficient and effective solutions. They integrate a varied number of variables such as workers, technology, ergonomics, production flows, and product specifications for the design and implementation of production systems. They can specify and design for microsystems as well.
## Core workflow
1. Test selected products at specified stages in the production process for performance characteristics or adherence to specifications.
2. Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance.
3. Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency.
4. Aid in planning work assignments in accordance with worker performance, machine capacity, production schedules, or anticipated delays.
5. Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications.
6. Compile and evaluate statistical data to determine and maintain quality and reliability of products.
## 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)
- adjust engineering designs
- approve engineering design
- engineering principles
- engineering processes
- industrial engineering
- manufacturing processes
- optimise production processes parameters
- production engineering
- production processes
## Hot technologies
- IBM SPSS Statistics
- The MathWorks MATLAB
- Autodesk AutoCAD
- Bentley MicroStation
- Dassault Systemes SolidWorks
- Microsoft Access
- C
- Microsoft Visual Basic
- Microsoft Visual Studio
- Microsoft SharePoint
<!-- hot-tech -->
## Hot technologies
Top tools from 48 gated job ads (see references/market.md, as of 2026-07-14):
- Microsoft Excel — 33 %
- AutoCAD — 21 %
- Python — 19 %
- SQL — 19 %
- Tableau — 17 %
- SAP — 15 %
- Power BI — 12 %
- Microsoft Office — 10 %
- Microsoft Word — 10 %
- solidworks — 10 %
<!-- hot-tech -->
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/53d2052f-edc0-4f44-8be1-164526412bfe), O*NET 30.3 (17-3026.00). See manifest.json for licensing/attribution.*

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{
"name": "industrial-engineer",
"title": "industrial engineer",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/53d2052f-edc0-4f44-8be1-164526412bfe",
"esco_code": "2141.4",
"isco_group": "2141",
"onet_soc": "17-3026.00",
"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": 30,
"dwas": 29,
"skills_essential": 9,
"skills_optional": 68,
"software": 104
},
"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
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 12
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 4
},
"code-yeongyu/oh-my-openagent": {
"repo": "https://github.com/code-yeongyu/oh-my-openagent",
"commit": "b19f652",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"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": 1
},
"hypnguyen1209/offensive-claude": {
"repo": "https://github.com/hypnguyen1209/offensive-claude",
"commit": "4d62be7",
"license": "MIT",
"skills": 1
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 10
},
"K-Dense-AI/claude-scientific-skills": {
"repo": "https://github.com/K-Dense-AI/claude-scientific-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 4
},
"K-Dense-AI/scientific-agent-skills": {
"repo": "https://github.com/K-Dense-AI/scientific-agent-skills",
"commit": "4d97e29",
"license": "MIT",
"skills": 4
},
"brycewang-stanford/Auto-Empirical-Research-Skills": {
"repo": "https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills",
"commit": "85bf545",
"license": "CC-BY-4.0",
"skills": 12
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 3
},
"vibeeval/vibecosystem": {
"repo": "https://github.com/vibeeval/vibecosystem",
"commit": "cea9462",
"license": "MIT",
"skills": 1
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 6
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"license": "MIT",
"skills": 1
},
"AgriciDaniel/claude-ads": {
"repo": "https://github.com/AgriciDaniel/claude-ads",
"commit": "669c760",
"license": "MIT",
"skills": 1
},
"jeremylongshore/claude-code-plugins-plus-skills": {
"repo": "https://github.com/jeremylongshore/claude-code-plugins-plus-skills",
"commit": "e112938a",
"license": "MIT",
"skills": 1
},
"dotnet/skills": {
"repo": "https://github.com/dotnet/skills",
"commit": "79a2ada",
"license": "MIT",
"skills": 1
},
"mohitagw15856/pm-claude-skills": {
"repo": "https://github.com/mohitagw15856/pm-claude-skills",
"commit": "876fa30",
"license": "MIT",
"skills": 1
},
"basicmachines-co/basic-memory": {
"repo": "https://github.com/basicmachines-co/basic-memory",
"commit": "53da71c",
"license": "custom (see upstream LICENSE)",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 4
},
"NeoLabHQ/context-engineering-kit": {
"repo": "https://github.com/NeoLabHQ/context-engineering-kit",
"commit": "e61511b",
"license": "GPL",
"skills": 1
},
"silverstein/minutes": {
"repo": "https://github.com/silverstein/minutes",
"commit": "3fb2e83",
"license": "MIT",
"skills": 1
},
"elementalsouls/Claude-BugHunter": {
"repo": "https://github.com/elementalsouls/Claude-BugHunter",
"commit": "05098fc",
"license": "MIT",
"skills": 1
},
"ComPDFKit/compdf-skills": {
"repo": "https://github.com/ComPDFKit/compdf-skills",
"commit": "b77153e",
"license": "no explicit license \u2014 referenced by link only",
"skills": 1
},
"zebbern/claude-code-guide": {
"repo": "https://github.com/zebbern/claude-code-guide",
"commit": "d2c5280",
"license": "MIT",
"skills": 1
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"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": 78,
"onet": 164,
"jobads": 150,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 162,
"stackx": 0
},
"share_percent": {
"esco": 14.0,
"onet": 29.3,
"jobads": 26.8,
"wiki_ai": 0.0,
"anthropic": 0.9,
"ai_skills": 29.0,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — industrial-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: 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 |
|---|---|---|---|
| `accreditation-tracer-simulation` | core | Simulate Joint Commission tracer methodology to assess compliance with accreditation standards across patient care processes and support systems | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/healthcare/skills/accreditation-tracer-simulation) |
| `quantitative-methods` | core | Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods) |
| `simulation-experiment-designer` | core | Simulation experimental design skill for efficient scenario analysis and optimization. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/simulation-experiment-designer) |
| `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) |
| `doe-designer` | core | Design of Experiments planning and analysis skill for factorial and response surface experiments. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/industrial-engineering/skills/doe-designer) |
| `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) |
| `pandas-dataframe-analyzer` | core | Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/pandas-dataframe-analyzer) |
| `gpu-memory-analysis` | core | Specialized skill for GPU memory hierarchy analysis and optimization. Analyze memory access patterns, detect bank conflicts, optimize cache utilization, profile global memory bandwidth, and generate optimized memory access code patterns. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/gpu-programming/skills/gpu-memory-analysis) |
| `power-analysis-calculator` | core | Skill for statistical power analysis and sample size calculation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/power-analysis-calculator) |
| `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) |
## 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-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/AgriciDaniel/claude-blog/tree/49842ea/skills/blog-strategy) |
## Source: basicmachines-co/basic-memory
- Repository: [https://github.com/basicmachines-co/basic-memory](https://github.com/basicmachines-co/basic-memory) (commit `53da71c`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-literary-analysis` | core | Analyze a complete literary work into a structured Basic Memory knowledge graph. Covers schema design, entity seeding, chapter-by-chapter processing, cross-referencing, validation, and visualization. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/skills/memory-literary-analysis) |
## Source: brycewang-stanford/Auto-Empirical-Research-Skills
- Repository: [https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills) (commit `85bf545`, retrieved 2026-07-14)
- License: CC-BY-4.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `aer-statspai` | core | Use when aer-identification has fixed the design, after methodology choice and before aer-robustness or aer-tables-figures, to run an AER-track analysis with StatsPAI — the agent-native Python engine and MCP server for causal inference, … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/50-brycewang-aer-skills/skills/aer-statspai) |
| `law-skills` | core | 9 legal research skills. Trigger: legal research, case law analysis, regulatory compliance. Design: legal databases, citation networks, and judicial analytics tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/law) |
| `psychology-research-guide` | core | Psychological research methods, experimental design, and analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/social-science/psychology-research-guide) |
| `statistics-skills` | core | 10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics) |
| `universal-ma-codebook` | core | Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/universal-ma-codebook) |
| `automation-skills` | core | 10 research automation skills. Trigger: automating experiments, tracking results, reproducible pipelines. Design: ML experiment management, workflow orchestration, and lab automation tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/automation) |
| `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) |
| `metadata-skills` | core | 24 metadata & bibliometrics skills. Trigger: DOI resolution, citation metrics, author disambiguation, bibliometrics. Design: metadata APIs and bibliometric analysis tools for scholarly records. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/literature/metadata) |
| `academic-baseline` | core | Use when working on any empirical academic research context — paper writing, data analysis, literature review, or any task involving citations, results, or publication artifacts. Establishes non-negotiable principles that govern all other … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/60-regisely-superpapers/skills/academic-baseline) |
| `hypothesis-testing-guide` | core | Statistical hypothesis testing, power analysis, and significance reporting | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics/hypothesis-testing-guide) |
| `new-project` | core | Full research pipeline from idea to paper. Orchestrates all phases — discovery, strategy, analysis, writing, peer review, and submission. Use when starting a new research project from scratch. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/16-hsantanna88-clo-author/dot-claude/skills/new-project) |
| `research-ideation` | core | This skill should be used when the user asks to "brainstorm research ideas", "use 5W1H framework", "identify research gaps", "conduct gap analysis", "start research project", "conduct literature review", "define research question", "select … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/research-ideation) |
## Source: code-yeongyu/oh-my-openagent
- Repository: [https://github.com/code-yeongyu/oh-my-openagent](https://github.com/code-yeongyu/oh-my-openagent) (commit `b19f652`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `debugging` | core | MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: … | [source](https://github.com/code-yeongyu/oh-my-openagent/tree/b19f652/packages/shared-skills/skills/debugging) |
## Source: ComPDFKit/compdf-skills
- Repository: [https://github.com/ComPDFKit/compdf-skills](https://github.com/ComPDFKit/compdf-skills) (commit `b77153e`, retrieved 2026-07-14)
- License: no explicit license — referenced by link only
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `pdf-to-word-docx` | core | PDF to Word converts PDF to editable Word/DOCX with AI-powered layout analysis and table recognition, built on ComPDF Conversion SDK to better preserve tables, multi-column layouts, lists, and images for downstream editing. It fits … | [source](https://github.com/ComPDFKit/compdf-skills/tree/b77153e/skills/pdf-to-word-docx) |
## 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 |
|---|---|---|---|
| `simpy` | core | Process-based discrete-event simulation framework in Python. Use this skill when building simulations of systems with processes, queues, resources, and time-based events such as manufacturing systems, service operations, network traffic, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/simpy) |
| `cobrapy` | core | Constraint-based metabolic modeling (COBRA). FBA, FVA, gene knockouts, flux sampling, SBML models, for systems biology and metabolic engineering analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/cobrapy) |
| `pymoo` | core | Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/pymoo) |
| `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) |
| `reactome-database` | core | Query Reactome REST API for pathway analysis, enrichment, gene-pathway mapping, disease pathways, molecular interactions, expression analysis, for systems biology studies. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/reactome-database) |
| `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) |
| `kegg-database` | core | Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/kegg-database) |
| `qutip` | core | Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/qutip) |
| `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) |
| `brenda-database` | core | Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/brenda-database) |
| `scikit-survival` | core | Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scikit-survival) |
| `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) |
## 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: elementalsouls/Claude-BugHunter
- Repository: [https://github.com/elementalsouls/Claude-BugHunter](https://github.com/elementalsouls/Claude-BugHunter) (commit `05098fc`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `osint-methodology` | core | Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments. Covers the 5-stage recon pipeline (seed discovery, asset expansion, enrichment, exposure analysis, reporting), asset-graph … | [source](https://github.com/elementalsouls/Claude-BugHunter/tree/05098fc/skills/osint-methodology) |
## Source: ferdinandobons/startup-skill
- Repository: [https://github.com/ferdinandobons/startup-skill](https://github.com/ferdinandobons/startup-skill) (commit `a5f97c3`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `startup-design` | core | Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup … | [source](https://github.com/ferdinandobons/startup-skill/tree/a5f97c3/startup-design) |
## Source: foryourhealth111-pixel/Vibe-Skills
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `scientific-critical-thinking` | core | Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-critical-thinking) |
| `designing-experiments` | core | Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/designing-experiments) |
| `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) |
| `denario` | core | Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/denario) |
| `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) |
| `statsmodels` | core | Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/statsmodels) |
## Source: HeshamFS/materials-simulation-skills
- Repository: [https://github.com/HeshamFS/materials-simulation-skills](https://github.com/HeshamFS/materials-simulation-skills) (commit `fa1ce8d`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `parameter-optimization` | core | Explore and optimize simulation parameters via design of experiments (DOE), sensitivity analysis, and optimizer selection — generate Latin Hypercube, quasi-random, or factorial sample plans, rank parameter influence with sensitivity … | [source](https://github.com/HeshamFS/materials-simulation-skills/tree/fa1ce8d/skills/simulation-workflow/parameter-optimization) |
## Source: hypnguyen1209/offensive-claude
- Repository: [https://github.com/hypnguyen1209/offensive-claude](https://github.com/hypnguyen1209/offensive-claude) (commit `4d62be7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `malware-analysis` | core | Use when reverse-engineering or detecting malware — static triage + capa/YARA-X, emulation/DBI/.NET unpacking, dynamic/fileless/Volatility 3 memory analysis, C2 config extraction (Cobalt Strike/CAPE), C2 traffic detection (JA4+, beaconing) | [source](https://github.com/hypnguyen1209/offensive-claude/tree/4d62be7/skills/malware-analysis) |
## Source: infrasity-labs/dev-gtm-claude-skills
- Repository: [https://github.com/infrasity-labs/dev-gtm-claude-skills](https://github.com/infrasity-labs/dev-gtm-claude-skills) (commit `02cfefb`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `blog-strategy` | core | Blog strategy development including topic cluster architecture with hub-and-spoke design, audience mapping, competitive landscape analysis, AI citation surface strategy across ChatGPT/Perplexity/AI Overviews, distribution channel planning … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/blog-strategy) |
## 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 |
|---|---|---|---|
| `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 |
|---|---|---|---|
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/hugging-science) |
| `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) |
| `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) |
| `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) |
## 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 |
|---|---|---|---|
| `hugging-science` | core | Use when the user is doing AI/ML work in a scientific domain such as biology, chemistry, physics, astronomy, climate, genomics, materials, medicine, ecology, energy, engineering, math, drug discovery, protein design, weather modeling, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/hugging-science) |
| `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) |
| `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) |
| `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) |
## 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 |
|---|---|---|---|
| `kyc-escalation` | core | Write an internal KYC/AML escalation memo: a factual time-stamped trigger description, customer-profile vs activity mismatch analysis, red-flag taxonomy mapping, outstanding information, and a recommendation with rationale. Use when asked … | [source](https://github.com/mohitagw15856/pm-claude-skills/tree/876fa30/plugins/pm-banking/skills/kyc-escalation) |
## 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) |
## Source: NeoLabHQ/context-engineering-kit
- Repository: [https://github.com/NeoLabHQ/context-engineering-kit](https://github.com/NeoLabHQ/context-engineering-kit) (commit `e61511b`, retrieved 2026-07-14)
- License: GPL
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `plan-do-check-act` | core | Iterative PDCA cycle for systematic experimentation and continuous improvement | [source](https://github.com/NeoLabHQ/context-engineering-kit/tree/e61511b/plugins/kaizen/skills/plan-do-check-act) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-interviewing-techniques` | core | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
| `nw-persona-jtbd-analysis` | core | Structured persona creation and JTBD analysis methodology - persona templates, ODI job step tables, pain point mapping, success metric quantification, and multi-persona segmentation | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-persona-jtbd-analysis) |
| `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) |
| `nw-jtbd-analysis` | core | JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-jtbd-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 |
|---|---|---|---|
| `sn-da-large-file-analysis` | core | 万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl read_only 流式读取iter_rows 支持 10 万行以上、Parquet 转换加速、内存优化、分块处理和大文件写入模式。**遇到以下任一情况就主动使用本 skill**:①数据行数 ≥ 10k由 sn-da-excel-workflow 的行数评估步骤触发);②用户出现触发词:大文件 / 大数据量 / 性能优化 / 内存不足 / OOM / 百万行 / 十万行 / 流式读取 / … | [source](https://github.com/OpenSenseNova/SenseNova-Skills/tree/d8bb438/skills/sn-da-large-file-analysis) |
## 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) |
| `experiment-design` | core | A discipline for designing experiments (A/B tests, multivariate, holdouts) so the results actually answer the question you asked. Hypothesis writing, sample size, duration, segment analysis, interpretation, decision-making, and the common … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/experiment-design) |
## 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: silverstein/minutes
- Repository: [https://github.com/silverstein/minutes](https://github.com/silverstein/minutes) (commit `3fb2e83`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `minutes-mirror` | core | Self-coaching analysis of your own behavior across meetings — talk-time ratio, filler words, hedging language, monologue length, energy patterns, and (when meetings are tagged via /minutes-tag) what your behavior in winning meetings looks … | [source](https://github.com/silverstein/minutes/tree/3fb2e83/.agents/skills/minutes/minutes-mirror) |
## 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 |
|---|---|---|---|
| `experiment-loop` | core | Autonomous experiment loop: hypothesize > modify > test > evaluate > keep/discard > repeat. Run N experiments automatically with measurable metrics. Works for performance optimization, A/B testing, prompt engineering, and any measurable … | [source](https://github.com/vibeeval/vibecosystem/tree/cea9462/skills/experiment-loop) |
## 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 |
|---|---|---|---|
| `regression-modeler` | core | Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/regression-modeler) |

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# Market evidence report — industrial-engineer
Source: **48 real job ads** (JSearch API, countries: us 48), extracted into the MSSQL evidence store; as of 2026-07-14.
This report contains extracted, aggregated facts only — no ad text is
reproduced (copyright / platform terms).
## Seniority distribution
| Seniority | Ads | Share |
|---|---|---|
| mid | 32 | 67 % |
| senior | 12 | 25 % |
| junior | 4 | 8 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Microsoft Excel | 16 | 33 % |
| 2 | AutoCAD | 10 | 21 % |
| 3 | Python | 9 | 19 % |
| 4 | SQL | 9 | 19 % |
| 5 | Tableau | 8 | 17 % |
| 6 | SAP | 7 | 15 % |
| 7 | Power BI | 6 | 12 % |
| 8 | Microsoft Office | 5 | 10 % |
| 9 | Microsoft Word | 5 | 10 % |
| 10 | solidworks | 5 | 10 % |
| 11 | Microsoft PowerPoint | 4 | 8 % |
| 12 | oracle | 4 | 8 % |
| 13 | R language | 4 | 8 % |
| 14 | arena | 3 | 6 % |
| 15 | flexsim | 3 | 6 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 16 | 33 % |
| 2 | process improvement | 16 | 33 % |
| 3 | statistical analysis | 12 | 25 % |
| 4 | industrial engineering | 9 | 19 % |
| 5 | capacity planning | 7 | 15 % |
| 6 | process mapping | 6 | 12 % |
| 7 | root cause analysis | 6 | 12 % |
| 8 | simulation | 6 | 12 % |
| 9 | facility layout | 5 | 10 % |
| 10 | labor standards development | 5 | 10 % |
| 11 | line balancing | 5 | 10 % |
| 12 | operations research | 5 | 10 % |
| 13 | optimization | 5 | 10 % |
| 14 | time and motion studies | 5 | 10 % |
| 15 | workflow design | 5 | 10 % |
| 16 | capacity management | 4 | 8 % |
| 17 | continuous improvement | 4 | 8 % |
| 18 | cost-benefit analysis | 4 | 8 % |
| 19 | human-centered design | 4 | 8 % |
| 20 | lean manufacturing | 4 | 8 % |
| 21 | performance improvement | 4 | 8 % |
| 22 | systems engineering | 4 | 8 % |
| 23 | time studies | 4 | 8 % |
| 24 | time study analysis | 4 | 8 % |
| 25 | bottleneck analysis | 3 | 6 % |
| 26 | capacity modeling | 3 | 6 % |
| 27 | data analytics | 3 | 6 % |
| 28 | material flow optimization | 3 | 6 % |
| 29 | process analysis | 3 | 6 % |
| 30 | process validation | 3 | 6 % |
| 31 | project management | 3 | 6 % |
| 32 | simulation modeling | 3 | 6 % |
| 33 | value stream mapping | 3 | 6 % |
| 34 | waste reduction | 3 | 6 % |
| 35 | work measurement | 3 | 6 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | lean manufacturing | 22 | 46 % |
| 2 | six sigma | 12 | 25 % |
| 3 | value stream mapping | 8 | 17 % |
| 4 | continuous improvement | 7 | 15 % |
| 5 | 5s methodology | 6 | 12 % |
| 6 | change management | 6 | 12 % |
| 7 | discrete event simulation | 6 | 12 % |
| 8 | kaizen events | 6 | 12 % |
| 9 | continuous improvement methodologies | 5 | 10 % |
| 10 | systems thinking | 5 | 10 % |
| 11 | lean six sigma | 4 | 8 % |
| 12 | DMAIC | 3 | 6 % |
| 13 | kaizen | 3 | 6 % |
| 14 | kanban | 3 | 6 % |
| 15 | line balancing | 3 | 6 % |
| 16 | most | 3 | 6 % |
| 17 | process mapping | 3 | 6 % |
| 18 | time studies | 3 | 6 % |
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 7 | 15 % |
| 2 | process improvement | 6 | 12 % |
| 3 | process improvement implementation | 5 | 10 % |
| 4 | analytical tool application | 4 | 8 % |
| 5 | care delivery model design | 4 | 8 % |
| 6 | data-driven decision support | 4 | 8 % |
| 7 | methodology establishment | 4 | 8 % |
| 8 | outcome measurement | 4 | 8 % |
| 9 | performance improvement initiative leadership | 4 | 8 % |
| 10 | problem framing | 4 | 8 % |
| 11 | process analysis | 4 | 8 % |
| 12 | process optimization | 4 | 8 % |
| 13 | recommendation translation | 4 | 8 % |
| 14 | staff mentoring | 4 | 8 % |
| 15 | waste reduction | 4 | 8 % |
| 16 | corrective action implementation | 3 | 6 % |
| 17 | kpi monitoring | 3 | 6 % |
| 18 | project leadership | 3 | 6 % |
## Regional breakdown
> **Corpus note:** 48 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
48 ads.
**Top hard skills:**
- data analysis — 33 % (16 ads)
- process improvement — 33 % (16 ads)
- statistical analysis — 25 % (12 ads)
- industrial engineering — 19 % (9 ads)
- capacity planning — 15 % (7 ads)
- process mapping — 12 % (6 ads)
- root cause analysis — 12 % (6 ads)
- simulation — 12 % (6 ads)
- facility layout — 10 % (5 ads)
- labor standards development — 10 % (5 ads)
**Top tools:**
- Microsoft Excel — 33 % (16 ads)
- AutoCAD — 21 % (10 ads)
- Python — 19 % (9 ads)
- SQL — 19 % (9 ads)
- Tableau — 17 % (8 ads)
- SAP — 15 % (7 ads)
- Power BI — 12 % (6 ads)
- Microsoft Office — 10 % (5 ads)
- Microsoft Word — 10 % (5 ads)
- solidworks — 10 % (5 ads)
**Seniority:** mid 67 % · senior 25 % · junior 8 %
### 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 |
|---|---|
| Industrial Engineer | 13 |
| Senior Healthcare Industrial Engineer | 4 |
| ENGINEER INDUSTRIAL 1 | 1 |
| Global Industrial Engineer | 1 |
| Industrial Engineer Automation & Continuous Improvement | 1 |
| Industrial Engineer - Modeling & Optimization | 1 |
| Industrial Engineer Quality | 1 |
| Industrial Engineer / Orlando, FL | 1 |
| Industrial Engineer 3 | 1 |
| Industrial Engineer D | 1 |
| Industrial Engineer I | 1 |
| Industrial Engineer II | 1 |
| Industrial Engineer III (Prince George, VA) | 1 |
| Industrial Engineer Senior - Sustainment - Level 3 | 1 |
| Industrial Engineer Senior Specialist | 1 |
| Industrial Engineer V - (E5) | 1 |
| Industrial Engineer: World Class Ops & CI Leader | 1 |
| Industrial Engineering & Facilities Consultant | 1 |
| Industrial Engineering and Facilities Consultant | 1 |
| Industrial Engineering Senior Consultant | 1 |
| Launch Industrial Engineer | 1 |
| Manufacturing / Industrial Engineer (Lean Manufacturing & Process Improvement) | 1 |
| Manufacturing Industrial Engineer | 1 |
| Manufacturing Process Engineering Consultant | 1 |
| Remote | Manufacturing Engineering Workflow Consultant —$75$120/hour | 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 — industrial engineer
- **ESCO URI:** http://data.europa.eu/esco/occupation/53d2052f-edc0-4f44-8be1-164526412bfe
- **ESCO code:** 2141.4
- **ISCO-08 group:** 2141 — Industrial and production engineers
- **O*NET-SOC:** 17-3026.00 — Industrial Engineering Technologists and Technicians (match: closeMatch)
## Description (ESCO)
Industrial engineers design a vast array of production systems aiming to present efficient and effective solutions. They integrate a varied number of variables such as workers, technology, ergonomics, production flows, and product specifications for the design and implementation of production systems. They can specify and design for microsystems as well.
## Definition
nan
## Alternative labels
- industrial engineering consultant
- industrial engineering expert
- industrial technology engineering expert
- industrial technology engineer
- industrial engineering adviser
- industrial technology engineering adviser
- industrial engineering specialist
- industrial engineers
- industrial technology engineering specialist
- industry 4.0 specialist
- industrial waste engineer
- industrial technology engineering consultant

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# Competences — industrial engineer
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/53d2052f-edc0-4f44-8be1-164526412bfe).
## Essential
- **adjust engineering designs** (skill/competence)
- **approve engineering design** (skill/competence)
- **engineering principles** (knowledge)
- **engineering processes** (knowledge)
- **industrial engineering** (knowledge)
- **manufacturing processes** (knowledge)
- **optimise production processes parameters** (skill/competence)
- **production engineering** (knowledge)
- **production processes** (knowledge)
## Optional
- 3D modelling (knowledge)
- advise on manufacturing problems (skill/competence)
- aerospace engineering (knowledge)
- analyse production processes for improvement (skill/competence)
- apply advanced manufacturing (skill/competence)
- automation technology (knowledge)
- automotive engineering (skill/competence)
- build machines (skill/competence)
- CAD software (knowledge)
- chemistry (knowledge)
- communicate with customers (skill/competence)
- computer engineering (knowledge)
- continuous improvement philosophies (knowledge)
- control production (skill/competence)
- coordinate engineering teams (skill/competence)
- coordinate manufacturing production activities (skill/competence)
- design automation components (skill/competence)
- design drawings (knowledge)
- design principles (knowledge)
- design prototypes (skill/competence)
- determine production capacity (skill/competence)
- develop product design (skill/competence)
- develop production line (skill/competence)
- electrical engineering (knowledge)
- electromechanics (knowledge)
- electronics (knowledge)
- environmental legislation (knowledge)
- examine engineering principles (skill/competence)
- execute analytical mathematical calculations (skill/competence)
- industrial research and development (knowledge)
- industrial tools (knowledge)
- instrumentation engineering (knowledge)
- instrumentation equipment (knowledge)
- integrate new products in manufacturing (skill/competence)
- keep up with digital transformation of industrial processes (skill/competence)
- lead process optimisation (skill/competence)
- lean manufacturing (knowledge)
- liaise with engineers (skill/competence)
- maintain industrial equipment (skill/competence)
- maintain relationship with suppliers (skill/competence)
- manage budgets (skill/competence)
- manage production systems (skill/competence)
- material mechanics (knowledge)
- mathematics (knowledge)
- mechanical engineering (knowledge)
- mechanics (knowledge)
- mechatronics (knowledge)
- microelectromechanical systems (knowledge)
- microelectronics (knowledge)
- optimise production (skill/competence)
- oversee assembly operations (skill/competence)
- perform project management (skill/competence)
- perform test run (skill/competence)
- physics (knowledge)
- plan manufacturing processes (skill/competence)
- prepare production prototypes (skill/competence)
- principles of mechanical engineering (knowledge)
- provide improvement strategies (skill/competence)
- quality standards (knowledge)
- read engineering drawings (skill/competence)
- robotics (knowledge)
- schedule production (skill/competence)
- semiconductors (knowledge)
- technical drawings (knowledge)
- train employees (skill/competence)
- types of metal (knowledge)
- use CAD software (skill/competence)
- welding techniques (knowledge)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 48 ads, as of 2026-07-14)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **33 %**
- process improvement — **33 %**
- statistical analysis — **25 %**
- industrial engineering — **19 %**
### Methods
- lean manufacturing — **46 %**
- six sigma — **25 %**
<!-- market-evidence -->

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# Tasks & work activities — industrial engineer
Source: O*NET 30.3, occupation 17-3026.00 (Industrial Engineering Technologists and Technicians).
## Task statements
- **[Core]** Test selected products at specified stages in the production process for performance characteristics or adherence to specifications.
- **[Core]** Verify that equipment is being operated and maintained according to quality assurance standards by observing worker performance.
- **[Core]** Study time, motion, methods, or speed involved in maintenance, production, or other operations to establish standard production rate or improve efficiency.
- **[Core]** Aid in planning work assignments in accordance with worker performance, machine capacity, production schedules, or anticipated delays.
- **[Core]** Read worker logs, product processing sheets, or specification sheets to verify that records adhere to quality assurance specifications.
- **[Core]** Compile and evaluate statistical data to determine and maintain quality and reliability of products.
- **[Supplemental]** Evaluate industrial operations for compliance with permits or regulations related to the generation, storage, treatment, transportation, or disposal of hazardous materials or waste.
- **[nan]** Adhere to all applicable regulations, policies, and procedures for health, safety, and environmental compliance.
- **[nan]** Analyze, estimate, or report production costs.
- **[nan]** Assist engineers in developing, building, or testing prototypes or new products, processes, or procedures.
- **[nan]** Calibrate or adjust equipment to ensure quality production, using tools such as calipers, micrometers, height gauges, protractors, or ring gauges.
- **[nan]** Conduct statistical studies to analyze or compare production costs for sustainable and nonsustainable designs.
- **[nan]** Coordinate equipment purchases, installations, or transfers.
- **[nan]** Create or interpret engineering drawings, schematic diagrams, formulas, or blueprints for management or engineering staff.
- **[nan]** Design plant layouts or production facilities.
- **[nan]** Develop manufacturing infrastructure to integrate or deploy new manufacturing processes.
- **[nan]** Develop or implement programs to address problems related to production, materials, safety, or quality.
- **[nan]** Develop production, inventory, or quality assurance programs.
- **[nan]** Develop sustainable manufacturing technologies to reduce greenhouse gas emissions, minimize raw material use, replace toxic materials with non-toxic materials, replace non-renewable materials with renewable materials, or reduce waste.
- **[nan]** Identify opportunities for improvements in quality, cost, or efficiency of automation equipment.
- **[nan]** Monitor and adjust production processes or equipment for quality and productivity.
- **[nan]** Oversee equipment start-up, characterization, qualification, or release.
- **[nan]** Oversee or inspect production processes.
- **[nan]** Prepare layouts, drawings, or sketches of machinery or equipment, such as shop tooling, scale layouts, or new equipment design, using drafting equipment or computer-aided design (CAD) software.
- **[nan]** Prepare production documents, such as standard operating procedures, manufacturing batch records, inventory reports, or productivity reports.
- **[nan]** Provide advice or training to other technicians.
- **[nan]** Recommend corrective or preventive actions to assure or improve product quality or reliability.
- **[nan]** Select cleaning materials, tools, or equipment.
- **[nan]** Select material quantities or processing methods needed to achieve efficient production.
- **[nan]** Set up and operate production equipment in accordance with current good manufacturing practices and standard operating procedures.
## Detailed work activities
- Analyze costs and benefits of proposed designs or projects.
- Assess product or process usefulness.
- Calibrate scientific or technical equipment.
- Create graphical representations of industrial production systems.
- Create physical models or prototypes.
- Design industrial equipment.
- Design industrial processing systems.
- Design structures or facilities.
- Determine operational methods.
- Develop technical methods or processes.
- Direct industrial production activities.
- Direct quality control activities.
- Estimate operational costs.
- Explain engineering drawings, specifications, or other technical information.
- Implement design or process improvements.
- Inspect operational processes.
- Monitor activities affecting environmental quality.
- Monitor processes for compliance with standards.
- Monitor the productivity or efficiency of industrial operations.
- Operate industrial equipment.
- Prepare detailed work plans.
- Prepare drawings or diagrams of products or services.
- Prepare operational reports.
- Purchase materials, equipment, or other resources.
- Recommend technical design or process changes to improve efficiency, quality, or performance.
- Research human performance or health factors related to engineering or design activities.
- Select project materials.
- Test products for functionality or quality.
- Train personnel on proper operational procedures.

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# Tools & technology — industrial engineer
Source: O*NET 30.3 'Software Skills' for 17-3026.00.
| Software | Category | Hot technology |
|---|---|---|
| IBM SPSS Statistics | Analytical or scientific software | yes |
| The MathWorks MATLAB | Analytical or scientific software | yes |
| Autodesk AutoCAD | Computer aided design CAD software | yes |
| Bentley MicroStation | Computer aided design CAD software | yes |
| Dassault Systemes SolidWorks | Computer aided design CAD software | yes |
| Microsoft Access | Data base user interface and query software | yes |
| C | Development environment software | yes |
| Microsoft Visual Basic | Development environment software | yes |
| Microsoft Visual Studio | Development environment software | yes |
| Microsoft SharePoint | 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 |
| C++ | Object or component oriented development software | yes |
| Microsoft Office software | Office suite software | yes |
| Microsoft Windows | Operating system software | yes |
| UNIX | Operating system software | yes |
| Microsoft PowerPoint | Presentation software | yes |
| Microsoft Visio | Process mapping and design software | yes |
| Microsoft Project | Project management software | yes |
| Microsoft Excel | Spreadsheet software | yes |
| Microsoft Word | Word processing software | yes |
| Advanced Dimensional Management 3D-GD&T | Analytical or scientific software | |
| Autodesk Algor Simulation | Analytical or scientific software | |
| Cadence PSpice | Analytical or scientific software | |
| Geometric dimensioning and tolerancing software | Analytical or scientific software | |
| Inlet Technologies Semaphore | Analytical or scientific software | |
| MathWorks Simulink | Analytical or scientific software | |
| Minitab | Analytical or scientific software | |
| MSC Software Adams | Analytical or scientific software | |
| MSC Software Nastran | Analytical or scientific software | |
| MSC Software Patran | Analytical or scientific software | |
| Rockwell Automation Arena | Analytical or scientific software | |
| Stat-Ease Design-Expert | Analytical or scientific software | |
| Statistical software | Analytical or scientific software | |
| Wilcox Associates PC-DMIS | Analytical or scientific software | |
| Autodesk Inventor | Computer aided design CAD software | |
| Dassault Systemes CATIA | Computer aided design CAD software | |
| IBM CATIA | Computer aided design CAD software | |
| IMSI TurboCAD | Computer aided design CAD software | |
| Kubotek CADKEY Wireframe | Computer aided design CAD software | |
| National Instruments Multisim | Computer aided design CAD software | |
| Plant design management system PDMS | Computer aided design CAD software | |
| PTC Creo Parametric | Computer aided design CAD software | |
| Siemens NX | Computer aided design CAD software | |
| Siemens Solid Edge | Computer aided design CAD software | |
| Three-dimensional modeling software | Computer aided design CAD software | |
| Three-dimensional parametric design software | Computer aided design CAD software | |
| Vectorworks Machine Design | Computer aided design CAD software | |
| Cimatron computer-aided design and manufacturing software | Computer aided manufacturing CAM software | |
| CNC Mastercam | Computer aided manufacturing CAM software | |
| Delcam computer-aided design and manufacturing software | Computer aided manufacturing CAM software | |
| Delcam PowerMILL | Computer aided manufacturing CAM software | |
| GibbsCAM | Computer aided manufacturing CAM software | |
| Materilise Magics | Computer aided manufacturing CAM software | |
| Planit Alphacam | Computer aided manufacturing CAM software | |
| Rapid prototyping software | Computer aided manufacturing CAM software | |
| Tebis computer aided design software | Computer aided manufacturing CAM software | |
| Vero Software SURFCAM | Computer aided manufacturing CAM software | |
| Data entry software | Data base user interface and query software | |
| Database software | Data base user interface and query software | |
| Eko | Desktop communications software | |
| Beginner's all-purpose symbolic instruction code BASIC | Development environment software | |
| National Instruments LabVIEW | Development environment software | |
| Email software | Electronic mail software | |
| IBM Notes | Electronic mail software | |
| Microsoft Exchange | Electronic mail software | |
| Infor Industrial Essentials | Enterprise resource planning ERP software | |
| Management information systems MIS | Enterprise resource planning ERP software | |
| Oracle JD Edwards EnterpriseOne | Enterprise resource planning ERP software | |
| Plant maintenance software | Enterprise resource planning ERP software | |
| Graphics editing software | Graphics or photo imaging software | |
| Graphics software | Graphics or photo imaging software | |
| Artificial intelligence software | Industrial control software | |
| AVEVA InTouch HMI | Industrial control software | |
| Computer numerical control CNC software | Industrial control software | |
| Computerized numerical control CNC machine software | Industrial control software | |
| Computerized numerical control CNC software | Industrial control software | |
| EPLAN software | Industrial control software | |
| Fanuc CNC software | Industrial control software | |
| Human machine interface HMI software | Industrial control software | |
| Infinity QS ProFicient | Industrial control software | |
| Kinematic Engineering MicroMeasure IV | Industrial control software | |
| Manufacturing execution system MES | Industrial control software | |
| MASS Group FactoryLink SCADA HMI | Industrial control software | |
| National Instruments NI-DAQmx | Industrial control software | |
| PLC Automation Intellution iFIX | Industrial control software | |
| Programmable logic controller PLC software | Industrial control software | |
| Siemens SIMATIC HMI | Industrial control software | |
| Siemens SINUMERIK CNC | Industrial control software | |
| Statistical process control SPC software | Industrial control software | |
| Supervisory control and data acquisition SCADA software | Industrial control software | |
| VIA Information Tools MAN-IT | Industrial control software | |
| Blink | Instant messaging software | |
| Microsoft Internet Explorer | Internet browser software | |
| Web browser software | Internet browser software | |
| ABB CPM4Metals | Materials requirements planning logistics and supply chain software | |
| AspenTech Aspen InfoPlus | Materials requirements planning logistics and supply chain software | |
| Horizon Software MRP Plus | Materials requirements planning logistics and supply chain software | |
| Materials requirement planning MRP software | Materials requirements planning logistics and supply chain software | |
| Production planning software | Materials requirements planning logistics and supply chain software | |
| G-code | Object or component oriented development software | |
| ProModel | Process mapping and design software | |
| Loom | Video creation and editing software | |
<!-- market-evidence -->
## Market evidence (job-ad analysis, 48 ads, as of 2026-07-14)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Tools
- Microsoft Excel — **33 %**
- AutoCAD — **21 %**
- SQL — **19 %**
- Python — **19 %**
<!-- market-evidence -->