315 lines
36 KiB
Markdown
315 lines
36 KiB
Markdown
# External AI agent skills — business-economics-researcher
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Proven, publicly available AI agent skills mapped to this occupation.
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Nothing is copied from the sources: every entry is a name, a one-line
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summary and a link to the upstream skill package. Each section names
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its source repository, commit, license and retrieval date.
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**Tiers:** `core` = the skill directly exercises a top market hard
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skill, tool or method (from gated job-ad evidence) or an essential
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ESCO competence of this occupation; `adjacent` =
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plausibly useful, secondary. Entries are capped at 12 per source
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and 80 in total per occupation (core first,
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strongest matches survive); everything beyond the caps is excluded
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and logged in the pipeline audit trail, not in this package.
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_Matched deterministically (ISCO group + title/competence keywords,
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tiered against market evidence + ESCO essentials) by
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`pipeline/p5_enrich_ai_skills.py` on 2026-07-14._
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## Source: anthropics/skills
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- Repository: [https://github.com/anthropics/skills](https://github.com/anthropics/skills) (commit `f6656c1`, retrieved 2026-07-14)
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- License: Apache-2.0; the document skills (docx/pdf/pptx/xlsx) are source-available — see the LICENSE.txt in the upstream skill folder
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| Skill | Tier | What it adds | Upstream |
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| `docx` | adjacent | Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files) or Word templates (.dotx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', '.dotx', or requests to … | [source](https://github.com/anthropics/skills/tree/main/skills/docx) |
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| `pdf` | adjacent | Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating … | [source](https://github.com/anthropics/skills/tree/main/skills/pdf) |
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## Source: ConardLi/garden-skills
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- Repository: [https://github.com/ConardLi/garden-skills](https://github.com/ConardLi/garden-skills) (commit `fbd6453`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `kb-retriever` | core | 面向本地知识库目录的检索和问答助手。核心流程:(1)分层索引导航 (2)遇到PDF/Excel时必须先读取references学习处理方法 (3)处理文件后再检索。按文件类型组合使用 grep、Read、pdfplumber、pandas 进行渐进式检索,避免整文件加载。用户问题涉及"从知识库目录回答问题/检索信息/查资料"时使用。 | [source](https://github.com/ConardLi/garden-skills/tree/fbd6453/skills/kb-retriever) |
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## Source: a5c-ai/babysitter
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- Repository: [https://github.com/a5c-ai/babysitter](https://github.com/a5c-ai/babysitter) (commit `44a5d58b`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `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) |
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| `statistical-testing` | core | Apply statistical hypothesis testing, significance analysis, A/B test evaluation, and distribution comparisons for data science workflows. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/statistical-testing) |
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| `regression-analyzer` | core | Skill for comprehensive regression analysis and modeling | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/regression-analyzer) |
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| `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) |
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| `curatorial-research` | core | Conduct art historical research, provenance investigation, and scholarly analysis to inform exhibitions, acquisitions, and publications using primary and secondary sources | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/social-sciences-humanities/arts-culture/skills/curatorial-research) |
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| `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) |
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| `time-series-analyzer` | core | Skill for time series analysis and forecasting | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/scientific-discovery/skills/time-series-analyzer) |
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| `A/B Test Statistical Analyzer` | core | Performs statistical analysis for A/B testing experiments | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/ab-test-statistical-analyzer) |
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## Source: affaan-m/everything-claude-code
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- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `ito-basket-compare` | core | Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/ito-basket-compare) |
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| `market-research` | core | Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/.agents/skills/market-research) |
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| `prediction-market-oracle-research` | core | Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns … | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/prediction-market-oracle-research) |
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## Source: AgriciDaniel/claude-seo
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- Repository: [https://github.com/AgriciDaniel/claude-seo](https://github.com/AgriciDaniel/claude-seo) (commit `6cf1ea9`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `seo-dataforseo` | core | Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor … | [source](https://github.com/AgriciDaniel/claude-seo/tree/6cf1ea9/extensions/dataforseo/skills/seo-dataforseo) |
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## Source: alirezarezvani/claude-code-skill-factory
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- Repository: [https://github.com/alirezarezvani/claude-code-skill-factory](https://github.com/alirezarezvani/claude-code-skill-factory) (commit `ba18b31`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `slash-command-factory` | core | Generate custom Claude Code slash commands through intelligent 5-7 question flow. Creates powerful commands for business research, content analysis, healthcare compliance, API integration, documentation automation, and workflow … | [source](https://github.com/alirezarezvani/claude-code-skill-factory/tree/ba18b31/generated-skills/slash-command-factory) |
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## Source: alirezarezvani/claude-skills
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- Repository: [https://github.com/alirezarezvani/claude-skills](https://github.com/alirezarezvani/claude-skills) (commit `0241f43`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `product-manager-toolkit` | core | Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing … | [source](https://github.com/alirezarezvani/claude-skills/tree/0241f43/product-team/skills/product-manager-toolkit) |
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## Source: AlpacaLabsLLC/skills-for-architects
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- Repository: [https://github.com/AlpacaLabsLLC/skills-for-architects](https://github.com/AlpacaLabsLLC/skills-for-architects) (commit `4476576`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `demographics-analysis` | core | Research population, income, age, housing, and employment around a site. Use for census, demographic, or local-market questions tied to a location. | [source](https://github.com/AlpacaLabsLLC/skills-for-architects/tree/4476576/skills/demographics-analysis) |
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| `environmental-analysis` | core | Research climate, sun, flood, seismic, soil, contamination, and topography for a site. Use for environmental site analysis or hazard questions tied to a location. | [source](https://github.com/AlpacaLabsLLC/skills-for-architects/tree/4476576/skills/environmental-analysis) |
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## Source: anbeime/skill
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- Repository: [https://github.com/anbeime/skill](https://github.com/anbeime/skill) (commit `ddad607`, retrieved 2026-07-14)
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- License: no explicit license — referenced by link only
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| Skill | Tier | What it adds | Upstream |
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| `product-manager-toolkit` | core | Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use for feature prioritization, user research synthesis, requirement … | [source](https://github.com/anbeime/skill/tree/ddad607/skills/product-manager-toolkit/product-manager-toolkit) |
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## Source: brycewang-stanford/Auto-Empirical-Research-Skills
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- 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)
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- License: CC-BY-4.0
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| Skill | Tier | What it adds | Upstream |
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| `economics-skills` | core | 9 economics skills. Trigger: economic modeling, policy analysis, macroeconomic data, FRED. Design: theory plus empirical methods with standard economics databases. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/economics) |
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| `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) |
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| `finance-skills` | core | 8 finance skills. Trigger: financial modeling, market data, risk analysis, quantitative finance. Design: data sources, quantitative methods, and regulatory frameworks. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/finance) |
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| `business-skills` | core | 5 business research skills. Trigger: business strategy, market analysis, competitive intelligence. Design: analytical frameworks and methods for management and innovation research. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/business) |
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| `climate-science-guide` | core | Climate data analysis, modeling workflows, and carbon neutrality research met... | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/geoscience/climate-science-guide) |
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| `cs-skills` | core | 10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/cs) |
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| `sociology-research-methods` | core | Sociological research methods from observation to quantitative analysis | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/social-science/sociology-research-methods) |
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| `climate-modeling-guide` | core | Climate simulation, modeling tools, and climate data analysis methods | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/geoscience/climate-modeling-guide) |
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| `econometrics-r` | core | R-based econometric analysis for academic research. Use when writing R code for panel data, difference-in-differences, instrumental variables, spatial econometrics, or regression analysis. Covers data.table, fixest, sf, modelsummary, and … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/econometrics-r) |
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| `financial-data-analysis` | core | Methods for acquiring, cleaning, and analyzing financial datasets for research | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/finance/financial-data-analysis) |
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| `humanities-skills` | core | 5 humanities skills. Trigger: textual analysis, archival research, digital humanities, philosophy. Design: digital tools and qualitative methods for humanities scholarship. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/humanities) |
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| `legal-research-guide` | core | Legal research methods, case law analysis, and compliance tools | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/domains/law/legal-research-guide) |
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## Source: davila7/claude-code-templates
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- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `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/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/statsmodels) |
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| `data-scientist` | core | Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/data-scientist) |
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| `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) |
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| `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) |
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| `senior-data-scientist` | core | World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/senior-data-scientist) |
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| `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) |
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| `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) |
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| `scvi-tools` | core | This skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scvi-tools) |
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| `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) |
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| `deep-research-notebooklm` | core | Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/ai-research/deep-research-notebooklm) |
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| `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/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/denario) |
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| `ensembl-database` | core | Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/ensembl-database) |
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## Source: Ericyoung-183/alpha-insights
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- Repository: [https://github.com/Ericyoung-183/alpha-insights](https://github.com/Ericyoung-183/alpha-insights) (commit `30c1e87`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `alpha-insights` | core | Business Analyst Skill. Triggered when users ask about business analysis, industry research, competitive analysis, product analysis, business model analysis, business opportunity discovery, market entry strategy, investment decisions, … | [source](https://github.com/Ericyoung-183/alpha-insights/tree/30c1e87) |
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## Source: Eronred/aso-skills
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- Repository: [https://github.com/Eronred/aso-skills](https://github.com/Eronred/aso-skills) (commit `e2a7c45`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `competitor-analysis` | core | When the user wants to analyze competitors' App Store strategy, find keyword gaps, or understand competitive positioning. Also use when the user mentions "competitor analysis", "competitive research", "keyword gap", "what are my … | [source](https://github.com/Eronred/aso-skills/tree/e2a7c45/skills/competitor-analysis) |
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## Source: ferdinandobons/startup-skill
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- Repository: [https://github.com/ferdinandobons/startup-skill](https://github.com/ferdinandobons/startup-skill) (commit `a5f97c3`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `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) |
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## Source: foryourhealth111-pixel/Vibe-Skills
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- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
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- License: Apache-2.0
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| Skill | Tier | What it adds | Upstream |
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| `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) |
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| `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) |
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| `senior-data-scientist` | core | World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/senior-data-scientist) |
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| `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) |
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| `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) |
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| `fda-database` | core | Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/fda-database) |
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| `market-research-reports` | core | Generate comprehensive market research reports and industry/competitive analysis in the style of top consulting firms. Use for market sizing, competitive landscape, market entry, investment thesis, strategic recommendations, and … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/market-research-reports) |
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| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/geomaster) |
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## Source: gooseworks-ai/goose-skills
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- Repository: [https://github.com/gooseworks-ai/goose-skills](https://github.com/gooseworks-ai/goose-skills) (commit `94ec916`, retrieved 2026-07-14)
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- License: no explicit license — referenced by link only
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| Skill | Tier | What it adds | Upstream |
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| `brand-research` | core | Kickoff research for a brand you haven't worked on before — web research, existing-ad analysis from the Meta Ad Library, editorial-grammar profiling, sourced + AI-generated brand assets, hook/CTA libraries, and an ad concept brief. … | [source](https://github.com/gooseworks-ai/goose-skills/tree/94ec916/skills/ads/composites/brand-research) |
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## Source: infrasity-labs/dev-gtm-claude-skills
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- 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)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `seo-dataforseo` | core | Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube, Google Images), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/extensions/dataforseo/skills/seo-dataforseo) |
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| `customer-research` | core | When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/customer-research) |
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| `product-manager-toolkit` | core | Comprehensive toolkit for product managers including RICE prioritization, customer interview analysis, PRD templates, discovery frameworks, and go-to-market strategies. Use when prioritizing features, synthesizing user research, writing … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/product-manager-toolkit) |
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| `competitor-profiling` | core | When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' … | [source](https://github.com/infrasity-labs/dev-gtm-claude-skills/tree/02cfefb/.claude/skills/competitor-profiling) |
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## Source: jeremylongshore/claude-code-plugins-plus-skills
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- 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)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `excel-lbo-modeler` | core | Build leveraged buyout (LBO) models in Excel with debt schedules and IRR analysis. Use when structuring LBO transactions or analyzing PE returns. Trigger with phrases like ''excel lbo'', ''build lbo model'', ''calculate pe returns''. | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/business-tools/excel-analyst-pro/skills/excel-lbo-modeler) |
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## Source: K-Dense-AI/claude-scientific-skills
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- 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)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `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) |
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| `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) |
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| `open-notebook` | core | Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/open-notebook) |
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| `geomaster` | core | Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/geomaster) |
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## Source: K-Dense-AI/scientific-agent-skills
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- 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)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `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) |
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| `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) |
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| `open-notebook` | core | Self-hosted, open-source alternative to Google NotebookLM for AI-powered research and document analysis. Use when organizing research materials into notebooks, ingesting diverse content sources (PDFs, videos, audio, web pages, Office … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/open-notebook) |
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## Source: malob/nix-config
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- Repository: [https://github.com/malob/nix-config](https://github.com/malob/nix-config) (commit `f2ed178`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `deep-research-team` | core | This skill should be used when the user asks for "deep research", "research team", "comprehensive analysis", "research report", "investigate thoroughly", "compare X vs Y in depth", or needs synthesis across multiple sources with … | [source](https://github.com/malob/nix-config/tree/f2ed178/configs/claude/skills/deep-research-team) |
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## Source: mukul975/Anthropic-Cybersecurity-Skills
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- Repository: [https://github.com/mukul975/Anthropic-Cybersecurity-Skills](https://github.com/mukul975/Anthropic-Cybersecurity-Skills) (commit `673da1f`, retrieved 2026-07-14)
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- License: Apache-2.0
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| Skill | Tier | What it adds | Upstream |
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| `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) |
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## Source: nexscope-ai/eCommerce-Skills
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- Repository: [https://github.com/nexscope-ai/eCommerce-Skills](https://github.com/nexscope-ai/eCommerce-Skills) (commit `56f3288`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `price-optimization-tool` | core | Evaluate ecommerce price candidates using unit economics, historical observations, elasticity analysis, scenario modeling, and controlled experiments. Use when a seller asks what price to test, how price changes could affect contribution … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/price-optimization-tool) |
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| `etsy-keyword-research` | core | Etsy search optimization — long-tail keywords, tag research, competitor analysis, seasonal trends | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/etsy-keyword-research) |
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| `etsy-competitor-analysis` | core | Competitor research — pricing comparison, bestseller analysis, differentiation strategy | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/etsy-competitor-analysis) |
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| `etsy-seo` | core | Etsy SEO analyzer and optimizer. Improve search visibility with title optimization, tag analysis, description scoring, and keyword research. Includes SEO scoring (0-100), long-tail keyword suggestions, and prioritized action plans. No API … | [source](https://github.com/nexscope-ai/eCommerce-Skills/tree/56f3288/etsy-seo) |
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## Source: ognjengt/founder-skills
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- Repository: [https://github.com/ognjengt/founder-skills](https://github.com/ognjengt/founder-skills) (commit `a45931c`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `competitor-intel` | core | Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs competitive intelligence, competitor analysis, market positioning insights, or … | [source](https://github.com/ognjengt/founder-skills/tree/a45931c/skills/competitor-intel) |
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## Source: rampstackco/claude-skills
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- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `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) |
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| `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) |
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## Source: sanjay3290/ai-skills
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- Repository: [https://github.com/sanjay3290/ai-skills](https://github.com/sanjay3290/ai-skills) (commit `3619692`, retrieved 2026-07-14)
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- License: Apache-2.0
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| Skill | Tier | What it adds | Upstream |
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| `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) |
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## Source: zebbern/claude-code-guide
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- Repository: [https://github.com/zebbern/claude-code-guide](https://github.com/zebbern/claude-code-guide) (commit `d2c5280`, retrieved 2026-07-14)
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- License: MIT
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| Skill | Tier | What it adds | Upstream |
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| `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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| `vc-industry-research` | core | Generate professional primary market / venture capital industry research reports, including sector deep-dives, investment memos, and market analysis. Produces detailed PDF reports covering TMT, consumer, healthcare, and industrials. … | [source](https://github.com/zebbern/claude-code-guide/tree/d2c5280/skills/vc-industry-research) |
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