feat: innovation-engineer skill package v0.1.0

This commit is contained in:
skillfactor-pipeline
2026-08-14 16:56:21 +02:00
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# Data provenance — innovation-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 — innovation-engineer
"ESCO (occupation & competences)" : 35
"O*NET (tasks & tools)" : 1
"Job boards (market evidence)" : 43
"Anthropic official Claude skills" : 5
"External AI skill packs (mapped)" : 180
```
| Source | Items | Share | Files |
|---|---|---|---|
| ESCO (occupation & competences) | 35 | 13.3 % | references/profile.md, references/skills.md |
| O*NET (tasks & tools) | 1 | 0.4 % | references/tasks.md, references/tools.md |
| Job boards (market evidence) | 43 | 16.3 % | 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 | 1.9 % | references/ai-skills.md, section "anthropics/skills" (official Claude Code skills) |
| External AI skill packs (mapped) | 180 | 68.2 % | 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: innovation-engineer
description: "Occupational skill for the role 'innovation engineer' (also: innovation engineer expert, innovation engineer consultant, innovation engineer specialist). Use when the user asks for typical innovation engineer work such as: typical innovation engineer responsibilities"
---
# Innovation Engineer
Innovation engineers participate in the planning, organisation and execution of innovation product projects. They design and develop new products and prototypes involving technologies, optimisation and automation processes that drive innovative growth within an organisation. Innovation engineers identify potential development areas, patent opportunities, innovation trends and the needs of customers.
## Core workflow
## 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)
- advise on patents
- apply for patents
- automation technology
- computer technology
- define technology strategy
- develop new products
- develop product design
- emergent technologies
- identify potential markets for companies
- identify technological needs
- implement procurement of innovation
- industrial design
- innovate in ICT
- innovation processes
- integrate new products in manufacturing
---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/29e8a27f-5e68-4d47-b991-5c41f835c72a), O*NET 30.3 (17-2199.00, manual nearest match). See manifest.json for licensing/attribution.*

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{
"name": "innovation-engineer",
"title": "innovation engineer",
"version": "0.1.0",
"layer": "core",
"language": "en",
"generated": "2026-07-07",
"ids": {
"esco_uri": "http://data.europa.eu/esco/occupation/29e8a27f-5e68-4d47-b991-5c41f835c72a",
"esco_code": "2149.18",
"isco_group": "2149",
"onet_soc": "17-2199.00",
"crosswalk_match": "manual nearest via ISCO 2149 (Engineers, All Other)"
},
"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": 0,
"dwas": 0,
"skills_essential": 25,
"skills_optional": 9,
"software": 0
},
"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
},
"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
},
"ferdinandobons/startup-skill": {
"repo": "https://github.com/ferdinandobons/startup-skill",
"commit": "a5f97c3",
"license": "MIT",
"skills": 1
},
"rohitg00/skillkit": {
"repo": "https://github.com/rohitg00/skillkit",
"commit": "d2e5c34",
"license": "Apache-2.0",
"skills": 1
},
"wondelai/skills": {
"repo": "https://github.com/wondelai/skills",
"commit": "326b380",
"license": "MIT",
"skills": 1
},
"JasonColapietro/suede-creator-skills": {
"repo": "https://github.com/JasonColapietro/suede-creator-skills",
"commit": "0dc2aef",
"license": "MIT",
"skills": 1
},
"a5c-ai/babysitter": {
"repo": "https://github.com/a5c-ai/babysitter",
"commit": "44a5d58b",
"license": "MIT",
"skills": 6
},
"alirezarezvani/claude-skills": {
"repo": "https://github.com/alirezarezvani/claude-skills",
"commit": "0241f43",
"license": "MIT",
"skills": 2
},
"mukul975/Anthropic-Cybersecurity-Skills": {
"repo": "https://github.com/mukul975/Anthropic-Cybersecurity-Skills",
"commit": "673da1f",
"license": "Apache-2.0",
"skills": 1
},
"dembrandt/dembrandt-skills": {
"repo": "https://github.com/dembrandt/dembrandt-skills",
"commit": "38cd2b7",
"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": 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
},
"davila7/claude-code-templates": {
"repo": "https://github.com/davila7/claude-code-templates",
"commit": "fa79251",
"license": "MIT",
"skills": 12
},
"nexscope-ai/eCommerce-Skills": {
"repo": "https://github.com/nexscope-ai/eCommerce-Skills",
"commit": "56f3288",
"license": "MIT",
"skills": 1
},
"rampstackco/claude-skills": {
"repo": "https://github.com/rampstackco/claude-skills",
"commit": "bc6d961",
"license": "MIT",
"skills": 3
},
"foryourhealth111-pixel/Vibe-Skills": {
"repo": "https://github.com/foryourhealth111-pixel/Vibe-Skills",
"commit": "34429a8",
"license": "Apache-2.0",
"skills": 3
},
"wanshuiyin/Anti-Autoresearch": {
"repo": "https://github.com/wanshuiyin/Anti-Autoresearch",
"commit": "c7f7f0d",
"license": "MIT",
"skills": 1
},
"nWave-ai/nWave": {
"repo": "https://github.com/nWave-ai/nWave",
"commit": "1d0f13c",
"license": "MIT",
"skills": 2
},
"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
},
"AgriciDaniel/claude-ads": {
"repo": "https://github.com/AgriciDaniel/claude-ads",
"commit": "669c760",
"license": "MIT",
"skills": 1
},
"nextlevelbuilder/ui-ux-pro-max-skill": {
"repo": "https://github.com/nextlevelbuilder/ui-ux-pro-max-skill",
"commit": "fe3f65e",
"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
},
"HeshamFS/materials-simulation-skills": {
"repo": "https://github.com/HeshamFS/materials-simulation-skills",
"commit": "fa1ce8d",
"license": "Apache-2.0",
"skills": 1
},
"sanjay3290/ai-skills": {
"repo": "https://github.com/sanjay3290/ai-skills",
"commit": "3619692",
"license": "Apache-2.0",
"skills": 1
},
"staruhub/ClaudeSkills": {
"repo": "https://github.com/staruhub/ClaudeSkills",
"commit": "3d4045d",
"license": "MIT",
"skills": 1
},
"claude-world/director-mode-lite": {
"repo": "https://github.com/claude-world/director-mode-lite",
"commit": "9d0c333",
"license": "MIT",
"skills": 1
},
"OpenRaiser/NanoResearch": {
"repo": "https://github.com/OpenRaiser/NanoResearch",
"commit": "7144364",
"license": "MIT",
"skills": 1
},
"Orchestra-Research/AI-research-SKILLs": {
"repo": "https://github.com/Orchestra-Research/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 2
},
"zechenzhangAGI/AI-research-SKILLs": {
"repo": "https://github.com/zechenzhangAGI/AI-research-SKILLs",
"commit": "773a529",
"license": "MIT",
"skills": 2
},
"davepoon/buildwithclaude": {
"repo": "https://github.com/davepoon/buildwithclaude",
"commit": "3c94e0c",
"license": "MIT",
"skills": 1
},
"snyk/agent-scan": {
"repo": "https://github.com/snyk/agent-scan",
"commit": "f3a4621",
"license": "Apache-2.0",
"skills": 1
},
"ThinkInAIXYZ/deepchat": {
"repo": "https://github.com/ThinkInAIXYZ/deepchat",
"commit": "f275c92",
"license": "Apache-2.0",
"skills": 1
},
"indranilbanerjee/digital-marketing-pro": {
"repo": "https://github.com/indranilbanerjee/digital-marketing-pro",
"commit": "a3d119c",
"license": "MIT",
"skills": 1
}
},
"total_skills": 80,
"tiers": {
"core": 78,
"adjacent": 2
}
},
"provenance": {
"items": {
"esco": 35,
"onet": 1,
"jobads": 43,
"wiki_ai": 0,
"anthropic": 5,
"ai_skills": 180,
"stackx": 0
},
"share_percent": {
"esco": 13.3,
"onet": 0.4,
"jobads": 16.3,
"wiki_ai": 0.0,
"anthropic": 1.9,
"ai_skills": 68.2,
"stackx": 0.0
},
"method": "content items per source category"
},
"collar": "white",
"computer_work": true
}

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# External AI agent skills — innovation-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 |
|---|---|---|---|
| `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) |
| `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) |
| `research-first-dev` | core | Research-first development methodology that investigates existing solutions, brainstorms alternatives, and evaluates trade-offs before any implementation begins. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/everything-claude-code/skills/research-first-dev) |
| `git-integration` | core | Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/gsd/skills/git-integration) |
## 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: alirezarezvani/claude-skills
- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `product-skills` | core | Use when coordinating product work across the 12 bundled product sub-skills (RICE, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding) or the 4 … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/product-team/skills/product-skills) |
| `cross-eval` | core | /cs:cross-eval <memo> — Multi-model consensus on a board memo or strategy brief. Claude + Codex + Gemini cross-review with graceful degradation. Use when a high-stakes memo needs an independent sanity check before the boardroom — e.g. a … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/c-level-advisor/c-level-agents/skills/cross-eval) |
## 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 |
|---|---|---|---|
| `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) |
| `ai-ml-skills` | core | 27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/ai-ml) |
| `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) |
| `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) |
| `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) |
| `paper-review-skills` | core | 8 peer review skills. Trigger: reviewing manuscripts, comparing papers, quality assessment. Design: systematic review criteria, evaluation rubrics, and automated review tools. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/paper-review) |
| `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) |
| `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) |
| `obsidian-experiment-log` | core | Use this skill when the user discusses experiment design, ablations, training runs, evaluation, baselines, metrics, failures, or result interpretation that should be logged into Obsidian experiment and result notes. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/obsidian-experiment-log) |
| `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) |
| `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) |
| `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) |
## Source: claude-world/director-mode-lite
- Repository: [https://github.com/claude-world/director-mode-lite](https://github.com/claude-world/director-mode-lite) (commit `9d0c333`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `handoff-gemini` | core | Delegate long-context analysis, research, and large-document summarization to Google Gemini CLI (1M-token context) via non-interactive `gemini -p`, preserving Claude context. Use when the user says 'use gemini'/'hand off to gemini' or a … | [source](https://github.com/claude-world/director-mode-lite/tree/9d0c333/skills/handoff-gemini) |
## Source: davepoon/buildwithclaude
- Repository: [https://github.com/davepoon/buildwithclaude](https://github.com/davepoon/buildwithclaude) (commit `3c94e0c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/davepoon/buildwithclaude/tree/3c94e0c/plugins/all-skills/skills/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 |
|---|---|---|---|
| `crewai` | core | Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (sequential, hierarchical, parallel), memory … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/crewai) |
| `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) |
| `hypothesis-generation` | core | Generate testable hypotheses. Formulate from observations, design experiments, explore competing explanations, develop predictions, propose mechanisms, for scientific inquiry across domains. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/hypothesis-generation) |
| `dnanexus-integration` | core | DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/dnanexus-integration) |
| `trigger-dev` | core | Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/workflow-automation/trigger-dev) |
| `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) |
| `generate-image` | core | Generate or edit images using AI models (FLUX, Gemini). Use for general-purpose image generation including photos, illustrations, artwork, visual assets, concept art, and any image that isn't a technical diagram or schematic. For … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/generate-image) |
| `research-grants` | core | Write competitive research proposals for NSF, NIH, DOE, and DARPA. Agency-specific formatting, review criteria, budget preparation, broader impacts, significance statements, innovation narratives, and compliance with submission … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/research-grants) |
| `biomni` | core | Autonomous biomedical AI agent framework for executing complex research tasks across genomics, drug discovery, molecular biology, and clinical analysis. Use this skill when conducting multi-step biomedical research including CRISPR … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/biomni) |
| `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) |
| `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) |
## Source: dembrandt/dembrandt-skills
- Repository: [https://github.com/dembrandt/dembrandt-skills](https://github.com/dembrandt/dembrandt-skills) (commit `38cd2b7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `authentic-product-representation` | core | Product visuals — hero shots, demos, screenshots, landing-page panels — must reproduce the real product, not a stylised poster of it. Design with real content and real data, mirror the actual output the product generates, keep every label … | [source](https://github.com/dembrandt/dembrandt-skills/tree/38cd2b7/skills/authentic-product-representation) |
## 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 |
|---|---|---|---|
| `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) |
| `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) |
| `scholar-evaluation` | core | Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and writing with quantitative scoring and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scholar-evaluation) |
## Source: 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: indranilbanerjee/digital-marketing-pro
- Repository: [https://github.com/indranilbanerjee/digital-marketing-pro](https://github.com/indranilbanerjee/digital-marketing-pro) (commit `a3d119c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `four-core-documents` | core | Produce the Four Core Documents at strategic depth (61 total steps): Business & SBU Analysis, Segmentation Framework, Brand Positioning, DMFlow. Use when running Part 3 of the engagement methodology. | [source](https://github.com/indranilbanerjee/digital-marketing-pro/tree/a3d119c/skills/four-core-documents) |
## 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: JasonColapietro/suede-creator-skills
- Repository: [https://github.com/JasonColapietro/suede-creator-skills](https://github.com/JasonColapietro/suede-creator-skills) (commit `0dc2aef`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `suede-paywalls` | core | Suede-affiliated in-product monetization design for paywall screens, feature gates, trial-expiry states, usage-limit prompts, and free-to-paid upgrade moments. Use when the user needs trigger timing, message structure, plan presentation, … | [source](https://github.com/JasonColapietro/suede-creator-skills/tree/0dc2aef/skills/suede-paywalls) |
## 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 |
|---|---|---|---|
| `hypothesis-tester` | core | Structured hypothesis formulation, experiment design, and results interpretation for Product Managers. Use when the user needs to validate an assumption, design an A/B test, evaluate experiment results, or decide whether to ship based on … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/productivity/pm-ai-partner/skills/hypothesis-tester) |
| `perplexity-reference-architecture` | core | Implement Perplexity reference architecture with model routing, citation pipeline, and research automation. Use when designing new Perplexity integrations, reviewing project structure, or establishing architecture for search-augmented … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/perplexity-pack/skills/perplexity-reference-architecture) |
| `atlas-present` | core | Generate a polished HTML presentation page and Obsidian Canvas for big releases — new products, takeovers, major migrations. Non-technical audience. Use when asked to "present this", "release announcement", "show what we built", or … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/atlas-present) |
| `crest-narrative` | core | Strategic narrative — write a standalone strategy memo that frames product direction, bets, and rationale for a planning horizon. Use when asked to "write a strategy doc", "product vision", "strategic narrative", "company strategy memo", … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/ai-agency/tonone/skills/crest-narrative) |
## 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 |
|---|---|---|---|
| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/adaptyv) |
| `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) |
| `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-brainstorming` | core | Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/scientific-brainstorming) |
## 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 |
|---|---|---|---|
| `adaptyv` | core | How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/adaptyv) |
| `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) |
| `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-brainstorming` | core | Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/scientific-brainstorming) |
## Source: mukul975/Anthropic-Cybersecurity-Skills
- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `analyzing-macro-malware-in-office-documents` | core | Analyzes malicious VBA macros embedded in Microsoft Office documents (Word, Excel, PowerPoint) to identify download cradles, payload execution, persistence mechanisms, and anti-analysis techniques. Uses olevba, oledump, and VBA … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/analyzing-macro-malware-in-office-documents) |
## Source: 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 |
|---|---|---|---|
| `tiktok-shop-content-strategy` | core | TikTok Shop content creation strategy and planning. Trending formats, viral hooks, product showcasing, hashtag strategy, and content calendar development. Use when the user asks about TikTok content strategy, viral content creation, TikTok … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/tiktok-shop-content-strategy) |
## Source: nextlevelbuilder/ui-ux-pro-max-skill
- Repository: [https://github.com/nextlevelbuilder/ui-ux-pro-max-skill](https://github.com/nextlevelbuilder/ui-ux-pro-max-skill) (commit `fe3f65e`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `design` | core | Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, … | [source](https://github.com/nextlevelbuilder/ui-ux-pro-max-skill/tree/fe3f65e/.claude/skills/design) |
## 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-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-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) |
## Source: OpenRaiser/NanoResearch
- Repository: [https://github.com/OpenRaiser/NanoResearch](https://github.com/OpenRaiser/NanoResearch) (commit `7144364`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/OpenRaiser/NanoResearch/tree/7144364/skills/vendor-ai-research/academic-plotting) |
## Source: Orchestra-Research/AI-research-SKILLs
- Repository: [https://github.com/Orchestra-Research/AI-research-SKILLs](https://github.com/Orchestra-Research/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/20-ml-paper-writing/academic-plotting) |
| `langchain` | core | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/Orchestra-Research/AI-research-SKILLs/tree/773a529/14-agents/langchain) |
## Source: 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) |
| `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) |
| `content-strategy` | core | Develop a content strategy covering editorial positioning, content pillars, formats, calendar, governance, and topical authority planning. Use this skill whenever the user wants to plan a content program, define content pillars, build an … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/content-strategy) |
## 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 |
|---|---|---|---|
| `design-first` | core | Guides the creation of technical design documents before writing code, producing architecture diagrams, data models, API interface definitions, implementation plans, and multi-option trade-off analyses. Use when the user asks to plan a … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/planning/design-first) |
## Source: sanjay3290/ai-skills
- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited … | [source](https://github.com/sanjay3290/ai-skills/tree/3619692/skills/deep-research) |
## Source: snyk/agent-scan
- Repository: [https://github.com/snyk/agent-scan](https://github.com/snyk/agent-scan) (commit `f3a4621`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/snyk/agent-scan/tree/f3a4621/tests/skills/docx) |
## Source: staruhub/ClaudeSkills
- Repository: [https://github.com/staruhub/ClaudeSkills](https://github.com/staruhub/ClaudeSkills) (commit `3d4045d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `deep-research` | core | Use this skill when the user wants an evidence-based research memo, literature review, market/policy/technical landscape, or a multi-source decision brief with citations, trade-offs, and a clear conclusion. Best for tasks that need … | [source](https://github.com/staruhub/ClaudeSkills/tree/3d4045d/skills/Geek-skills-deep-research) |
## Source: ThinkInAIXYZ/deepchat
- Repository: [https://github.com/ThinkInAIXYZ/deepchat](https://github.com/ThinkInAIXYZ/deepchat) (commit `f275c92`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `docx` | core | Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new … | [source](https://github.com/ThinkInAIXYZ/deepchat/tree/f275c92/resources/skills/docx) |
## Source: wanshuiyin/Anti-Autoresearch
- Repository: [https://github.com/wanshuiyin/Anti-Autoresearch](https://github.com/wanshuiyin/Anti-Autoresearch) (commit `c7f7f0d`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `eval-design-forensics` | core | Audit whether a paper's EVALUATION DESIGN actually measures what it claims and whether its reporting is complete — the validity layer family D (experiment-forensics) cannot reach. Three patterns: train/test leakage means the reported score … | [source](https://github.com/wanshuiyin/Anti-Autoresearch/tree/c7f7f0d/skills/eval-design-forensics) |
## Source: wondelai/skills
- Repository: [https://github.com/wondelai/skills](https://github.com/wondelai/skills) (commit `326b380`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `steve-jobs-design-review` | core | Review designs, products, and features with Steve Jobs'' standards: ruthless simplicity, focus, and end-to-end excellence. Use when the user mentions "Steve Jobs review", "design review", "product review", "what would Steve do", "insanely … | [source](https://github.com/wondelai/skills/tree/326b380/steve-jobs-design-review) |
## Source: zechenzhangAGI/AI-research-SKILLs
- Repository: [https://github.com/zechenzhangAGI/AI-research-SKILLs](https://github.com/zechenzhangAGI/AI-research-SKILLs) (commit `773a529`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `academic-plotting` | core | Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/20-ml-paper-writing/academic-plotting) |
| `langchain` | core | Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for … | [source](https://github.com/zechenzhangAGI/AI-research-SKILLs/tree/773a529/14-agents/langchain) |

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# Market evidence report — innovation-engineer
Source: **21 real job ads** (JSearch API, countries: us 21), 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 | 13 | 62 % |
| senior | 5 | 24 % |
| lead | 2 | 10 % |
| n/a | 1 | 5 % |
## Tools — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | Python | 3 | 14 % |
| 2 | React | 3 | 14 % |
| 3 | TypeScript | 3 | 14 % |
## Hard skills — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | data analysis | 5 | 24 % |
| 2 | product development | 5 | 24 % |
| 3 | research and development | 4 | 19 % |
| 4 | technology scouting | 4 | 19 % |
| 5 | software engineering | 3 | 14 % |
## Methods — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
## Responsibilities — full market ranking
| # | Item | Ads | Share |
|---|---|---|---|
| 1 | collaboration with global teams | 3 | 14 % |
| 2 | innovation initiative driving | 3 | 14 % |
## Regional breakdown
> **Corpus note:** 21 relevant ads in total — below the 100-ad target for a fully reliable ranking. Percentages above should be read as indicative.
### US (us)
**Insufficient evidence** — 21 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### UK (gb)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
### EU/DACH (de, at, ch, nl)
**Insufficient evidence** — 0 ads (minimum for a regional ranking: 30). No ranking is reported for this region.
## Job title variants in the market
| Title | Ads |
|---|---|
| Innovation Engineer | 2 |
| Innovation Engineer: Global R&D & Tech Scout | 2 |
| Advanced Innovation Engineer — Pioneering Food & Pharma | 1 |
| AI and Software Innovation Engineer II | 1 |
| AI Innovation Engineer 32 | 1 |
| Front-End Innovation Engineer - Healthcare Impact | 1 |
| Innovation Engineer: Prototyping & Strategy | 1 |
| Innovation Engineer: Shape Next-Gen Energy Products | 1 |
| Innovations Engineer: Global R&D & Prototyping | 1 |
| Lead Engineer, Customer Innovation | 1 |
| Paper & Materials Innovation Engineer | 1 |
| Principal Innovation Engineer | 1 |
| Principal Innovation Engineering | 1 |
| Robotics & Innovation Engineer for Infrastructure Automation | 1 |
| Senior Innovation Engineer | 1 |
| Senior Product Innovation Engineer | 1 |
| Senior Project Engineer, Mechanical Innovation | 1 |
| SITE INNOVATION ENGINEER | 1 |
| Strategic Innovation Engineer (2026) - New York, NY | 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 — innovation engineer
- **ESCO URI:** http://data.europa.eu/esco/occupation/29e8a27f-5e68-4d47-b991-5c41f835c72a
- **ESCO code:** 2149.18
- **ISCO-08 group:** 2149 — Engineering professionals not elsewhere classified
## Description (ESCO)
Innovation engineers participate in the planning, organisation and execution of innovation product projects. They design and develop new products and prototypes involving technologies, optimisation and automation processes that drive innovative growth within an organisation. Innovation engineers identify potential development areas, patent opportunities, innovation trends and the needs of customers.
## Definition
nan
## Alternative labels
- innovation engineer expert
- innovation engineer consultant
- innovation engineer specialist

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# Competences — innovation engineer
Source: ESCO v1.2.1 occupation-skill relations (http://data.europa.eu/esco/occupation/29e8a27f-5e68-4d47-b991-5c41f835c72a).
## Essential
- **advise on patents** (skill/competence)
- **apply for patents** (skill/competence)
- **automation technology** (knowledge)
- **computer technology** (knowledge)
- **define technology strategy** (skill/competence)
- **develop new products** (skill/competence)
- **develop product design** (skill/competence)
- **emergent technologies** (knowledge)
- **identify potential markets for companies** (skill/competence)
- **identify technological needs** (skill/competence)
- **implement procurement of innovation** (skill/competence)
- **industrial design** (knowledge)
- **innovate in ICT** (skill/competence)
- **innovation processes** (knowledge)
- **integrate new products in manufacturing** (skill/competence)
- **keep updated on innovations in various business fields** (skill/competence)
- **lead technology development of an organisation** (skill/competence)
- **monitor technology trends** (skill/competence)
- **patents** (knowledge)
- **perform product planning** (skill/competence)
- **plan engineering activities** (skill/competence)
- **prepare production prototypes** (skill/competence)
- **promote innovative infrastructure design** (skill/competence)
- **promote open innovation in research** (skill/competence)
- **provide technical expertise** (skill/competence)
## Optional
- consult with industry professionals (skill/competence)
- describe chemical innovation in products (skill/competence)
- develop business plans (skill/competence)
- develop design ideas cooperatively (skill/competence)
- identify new business opportunities (skill/competence)
- manage research and development projects (skill/competence)
- plan product management (skill/competence)
- promote the transfer of knowledge (skill/competence)
- social innovation (knowledge)
<!-- market-evidence -->
## Market evidence (job-ad analysis, 21 ads, as of 2026-07-14)
Share of analyzed job ads mentioning the item (threshold ≥ 20 %). Source: JSearch/Adzuna APIs.
### Hard skills
- data analysis — **24 %**
- product development — **24 %**
- research and development — **19 %**
- technology scouting — **19 %**
<!-- market-evidence -->

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# Tasks & work activities — innovation engineer
Source: O*NET 30.3, occupation 17-2199.00 (Engineers, All Other) — manual nearest-occupation mapping via ISCO group 2149; the official ESCO crosswalk has no entry for this ESCO occupation.
## Task statements

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# Tools & technology — innovation engineer
Source: O*NET 30.3, occupation 17-2199.00 (Engineers, All Other) — manual nearest-occupation mapping via ISCO group 2149; the official ESCO crosswalk has no entry for this ESCO occupation.
| Software | Category | Hot technology |
|---|---|---|