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language-engineer/references/ai-skills.md
skillfactor-pipeline f30640bf2a feat: language-engineer skill package v0.1.0
2026-08-15 13:45:45 +02:00

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# External AI agent skills — language-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 |
|---|---|---|---|
| `benchmark-suite-manager` | core | Manage benchmarks for algorithm engineering experiments and evaluations | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/domains/science/computer-science/skills/benchmark-suite-manager) |
| `adversarial-review` | core | Fresh adversarial code review with binary PASS/FAIL verdicts, evidence citations, and anchoring bias prevention via fresh reviewer spawning. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/methodologies/metaswarm/skills/adversarial-review) |
| `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) |
| `A/B Test Design` | core | Statistical experiment design and analysis capabilities for product experimentation | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/product-management/skills/ab-test-design) |
| `A/B Test Statistical Analyzer` | core | Performs statistical analysis for A/B testing experiments | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-engineering-analytics/skills/ab-test-statistical-analyzer) |
| `pandas-dataframe-analyzer` | core | Automated DataFrame analysis skill for statistical summaries, missing value detection, data type inference, and memory optimization recommendations. | [source](https://github.com/a5c-ai/babysitter/tree/44a5d58b/library/specializations/data-science-ml/skills/pandas-dataframe-analyzer) |
| `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) |
## Source: aaron-he-zhu/aaron-marketing-skills
- Repository: [https://github.com/aaron-he-zhu/aaron-marketing-skills](https://github.com/aaron-he-zhu/aaron-marketing-skills) (commit `b7b0b9f`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `memory-management` | core | Use when the user asks to "remember project context", review saved findings, initialize runtime memory, archive stale work, reconcile notes, or erase a subject; manages authorized HOT/WARM/COLD working memory across all disciplines while … | [source](https://github.com/aaron-he-zhu/aaron-marketing-skills/tree/b7b0b9f/protocol/memory-management) |
## Source: affaan-m/everything-claude-code
- Repository: [https://github.com/affaan-m/everything-claude-code](https://github.com/affaan-m/everything-claude-code) (commit `ed38744`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ml-adoption-playbook` | core | End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. | [source](https://github.com/affaan-m/everything-claude-code/tree/ed38744/skills/ml-adoption-playbook) |
## 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 |
|---|---|---|---|
| `code-review` | core | Use when reviewing Basic Machines code for house style, architecture risk, pre-merge hardening, or whether a change fits basic-memory/basic-memory-cloud conventions. | [source](https://github.com/basicmachines-co/basic-memory/tree/53da71c/.agents/skills/code-review) |
## 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 |
|---|---|---|---|
| `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) |
| `review-julia` | core | Run the Julia code review protocol on Julia scripts. Checks code quality, type stability, parallel computing patterns, and scientific computing standards. Produces a report without editing files. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/14-luischanci-claude-code-research-starter/dot-claude/skills/review-julia) |
| `claude-scientific-guide` | core | Ready-to-use agent skills for scientific research and engineering | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/methodology/claude-scientific-guide) |
| `code-review-excellence` | core | This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/33-Galaxy-Dawn-claude-scholar/skills/code-review-excellence) |
| `hud` | core | Diverga HUD (Heads-Up Display) management skill. Configure and manage the research project statusline display. Supports multiple presets: research, checkpoint, memory, minimal. Triggers: "hud", "statusline", "display settings | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/25-HosungYou-Diverga/skills/hud) |
| `identify` | core | Design or review identification strategy for the sewage-house-prices project. Produces strategy memos with estimand, assumptions, pseudo-code, robustness plan, falsification tests, and referee objection anticipation. This skill should be … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/41-sticerd-eee-sewage-econometrics-check/skills/identify) |
| `paper-excellence` | core | Comprehensive multi-dimensional review of the sewage-house-prices project. Runs econometrics audit, code review, manuscript proofread, and bibliography validation in parallel. Computes a weighted aggregate score. This skill should be used … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/41-sticerd-eee-sewage-econometrics-check/skills/paper-excellence) |
| `referee2` | core | Systematic audit and review by Referee 2. Two modes — "deck" reviews slide presentations for rhetoric, visual quality, and compile cleanliness; "code" performs cross-language replication and econometric audit of empirical pipelines. Use … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/13-scunning1975-MixtapeTools/skills/referee2) |
| `peer-review-guide` | core | Conduct thorough, constructive peer reviews and evaluate research papers | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/paper-review/peer-review-guide) |
| `statistics-skills` | core | 10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling. Design: method guides covering assumptions, code, and result interpretation. | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/analysis/statistics) |
| `automated-review-guide` | core | AI-assisted peer review tools, workflows, and quality standards | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/43-wentorai-research-plugins/skills/research/paper-review/automated-review-guide) |
| `experiment-bridge` | core | Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says \"实现实验\", \"implement experiments\", \"bridge\", \"从计划到跑实验\", … | [source](https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/85bf545/skills/42-wanshuiyin-ARIS/skills/experiment-bridge) |
## Source: code-yeongyu/oh-my-openagent
- Repository: [https://github.com/code-yeongyu/oh-my-openagent](https://github.com/code-yeongyu/oh-my-openagent) (commit `b19f652`, retrieved 2026-07-14)
- License: custom (see upstream LICENSE)
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `debugging` | core | MUST USE for any real runtime debugging across ANY language or binary — crashes, silent failures, wrong responses, stuck processes, memory leaks, async misbehavior, unexplained timing, reverse engineering. Runs a hypothesis-driven loop: … | [source](https://github.com/code-yeongyu/oh-my-openagent/tree/b19f652/packages/shared-skills/skills/debugging) |
## Source: davila7/claude-code-templates
- Repository: [https://github.com/davila7/claude-code-templates](https://github.com/davila7/claude-code-templates) (commit `fa79251`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `scientific-critical-thinking` | core | Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-critical-thinking) |
| `transformers` | core | This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/transformers) |
| `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) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/exploratory-data-analysis) |
| `venue-templates` | core | Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/venue-templates) |
| `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) |
| `literature-review` | core | Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/literature-review) |
| `scientific-brainstorming` | core | Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving. | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/scientific-brainstorming) |
| `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) |
| `swarmvault` | core | Use SwarmVault when the user needs a local-first knowledge vault that writes durable markdown, graph, search, dashboard, review, and MCP artifacts to disk from books, notes, transcripts, exports, datasets, slide decks, files, URLs, code, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/development/swarmvault) |
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/latex-posters) |
| `market-research-reports` | core | Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, … | [source](https://github.com/davila7/claude-code-templates/tree/fa79251/cli-tool/components/skills/scientific/market-research-reports) |
## Source: fcakyon/claude-codex-settings
- Repository: [https://github.com/fcakyon/claude-codex-settings](https://github.com/fcakyon/claude-codex-settings) (commit `44b7c00`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `paper-search-usage` | core | This skill should be used when user asks to "search for papers", "find research papers", "search arXiv", "search PubMed", "find academic papers", "search IEEE", "search Scopus", or "look up scientific literature". | [source](https://github.com/fcakyon/claude-codex-settings/tree/44b7c00/plugins/paper-search-tools/skills/paper-search-usage) |
## Source: foryourhealth111-pixel/Vibe-Skills
- Repository: [https://github.com/foryourhealth111-pixel/Vibe-Skills](https://github.com/foryourhealth111-pixel/Vibe-Skills) (commit `34429a8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `scientific-reporting` | core | Write research/technical reports with strong structure + figure standards. Supports Markdown/HTML/PDF outputs (Quarto optional), executive summary, methods, results, discussion, and reproducibility appendix. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/scientific-reporting) |
| `slides-as-code` | core | Build research slides with text-first source (Slidev/Marp/Reveal/Quarto) and reproducible export (PDF). Includes structure, figure reuse rules, and quality checklist for top-tier scientific presentations. | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/slides-as-code) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/exploratory-data-analysis) |
| `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) |
| `literature-review` | core | Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/literature-review) |
| `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) |
| `perplexity-search` | core | Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting … | [source](https://github.com/foryourhealth111-pixel/Vibe-Skills/tree/34429a8/bundled/skills/perplexity-search) |
## Source: harperreed/dotfiles
- Repository: [https://github.com/harperreed/dotfiles](https://github.com/harperreed/dotfiles) (commit `6b5ced1`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `swiftui-performance-audit` | core | Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide … | [source](https://github.com/harperreed/dotfiles/tree/6b5ced1/.claude/skills/swiftui-performance-audit) |
## Source: jabrena/plinth
- Repository: [https://github.com/jabrena/plinth](https://github.com/jabrena/plinth) (commit `065eae8`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `145-java-refactoring-high-performance` | core | Use when you need to refactor Java code for high performance — including memory/allocation reduction, CPU hot-path optimization, and syntax/API/control-flow improvements. This should trigger for requests such as Review Java code for high … | [source](https://github.com/jabrena/plinth/tree/065eae8/skills/145-java-refactoring-high-performance) |
## Source: jeremylongshore/claude-code-plugins-plus-skills
- Repository: [https://github.com/jeremylongshore/claude-code-plugins-plus-skills](https://github.com/jeremylongshore/claude-code-plugins-plus-skills) (commit `e112938a`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `perplexity-advanced-troubleshooting` | core | Apply advanced debugging techniques for hard-to-diagnose Perplexity Sonar API issues. Use when standard troubleshooting fails, investigating inconsistent citations, or preparing evidence for support escalation. Trigger with phrases like … | [source](https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/e112938a/plugins/saas-packs/perplexity-pack/skills/perplexity-advanced-troubleshooting) |
## Source: JuliusBrussee/caveman
- Repository: [https://github.com/JuliusBrussee/caveman](https://github.com/JuliusBrussee/caveman) (commit `0d95a81`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `caveman-compress` | core | Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable … | [source](https://github.com/JuliusBrussee/caveman/tree/0d95a81/plugins/caveman/skills/caveman-compress) |
## 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 |
|---|---|---|---|
| `exa-search` | core | Web toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/exa-search) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/exploratory-data-analysis) |
| `venue-templates` | core | Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/venue-templates) |
| `literature-review` | core | Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/literature-review) |
| `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) |
| `autoskill` | core | Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/autoskill) |
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/latex-posters) |
| `market-research-reports` | core | Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, … | [source](https://github.com/K-Dense-AI/claude-scientific-skills/tree/4d97e29/skills/market-research-reports) |
## 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 |
|---|---|---|---|
| `exa-search` | core | Web toolkit powered by Exa, tuned for scientific and technical content. Use this skill when the user needs to search the web or fetch/extract URL content. Covers: web search (semantic lookups, research, current info — with optional … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/exa-search) |
| `exploratory-data-analysis` | core | Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/exploratory-data-analysis) |
| `venue-templates` | core | Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/venue-templates) |
| `literature-review` | core | Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/literature-review) |
| `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) |
| `autoskill` | core | Observe the user's screen via screenpipe, detect repeated research workflows, match them against existing scientific-agent-skills, and draft new skills (or composition recipes that chain existing ones) for the patterns not yet covered. Use … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/autoskill) |
| `latex-posters` | core | Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/latex-posters) |
| `market-research-reports` | core | Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, … | [source](https://github.com/K-Dense-AI/scientific-agent-skills/tree/4d97e29/skills/market-research-reports) |
## Source: ljagiello/ctf-skills
- Repository: [https://github.com/ljagiello/ctf-skills](https://github.com/ljagiello/ctf-skills) (commit `d19f35f`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `ctf-forensics` | core | Provides digital forensics and signal analysis techniques for CTF challenges. Use when analyzing disk images, memory dumps, event logs, network captures, cryptocurrency transactions, steganography, PDF analysis, Windows registry, … | [source](https://github.com/ljagiello/ctf-skills/tree/d19f35f/ctf-forensics) |
## Source: MohamedAbdallah-14/unslop
- Repository: [https://github.com/MohamedAbdallah-14/unslop](https://github.com/MohamedAbdallah-14/unslop) (commit `5af59d9`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `unslop-file` | core | Humanize natural-language memory files (CLAUDE.md, todos, preferences, docs) by removing AI-isms and adding burstiness while preserving every code block, URL, path, command, and heading exactly. Two modes: --deterministic (fast, … | [source](https://github.com/MohamedAbdallah-14/unslop/tree/5af59d9/plugins/unslop/skills/unslop-file) |
## 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) |
| `detecting-process-injection-techniques` | core | Detects and analyzes process injection techniques used by malware including classic DLL injection, process hollowing, APC injection, thread hijacking, and reflective loading. Uses memory forensics, API monitoring, and behavioral analysis … | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/detecting-process-injection-techniques) |
| `performing-privileged-account-access-review` | core | Conduct systematic reviews of privileged accounts to validate access rights, identify excessive permissions, and enforce least privilege across PAM infrastructure. | [source](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/673da1f/skills/performing-privileged-account-access-review) |
## Source: nWave-ai/nWave
- Repository: [https://github.com/nWave-ai/nWave](https://github.com/nWave-ai/nWave) (commit `1d0f13c`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `nw-interviewing-techniques` | core | Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-interviewing-techniques) |
| `nw-research-methodology` | core | Research output templates, distillation workflow, and quality standards for evidence-driven research | [source](https://github.com/nWave-ai/nWave/tree/1d0f13c/nWave/skills/nw-research-methodology) |
## Source: rampstackco/claude-skills
- Repository: [https://github.com/rampstackco/claude-skills](https://github.com/rampstackco/claude-skills) (commit `bc6d961`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `cro-optimization` | core | Run conversion rate optimization through hypothesis-driven testing including audit, hypothesis generation, test design, statistical analysis, and rollout decisions. Use this skill whenever the user wants to optimize conversion, run A/B … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/cro-optimization) |
| `data-warehouse-experimentation` | core | Running experiments out of the data warehouse instead of via dedicated experiment platforms. SQL-based assignment, exposure logging discipline, metric definitions in dbt models, statistical analysis in SQL or Python, variance reduction … | [source](https://github.com/rampstackco/claude-skills/tree/bc6d961/skills/data-warehouse-experimentation) |
## Source: rohitg00/skillkit
- Repository: [https://github.com/rohitg00/skillkit](https://github.com/rohitg00/skillkit) (commit `d2e5c34`, retrieved 2026-07-14)
- License: Apache-2.0
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `structured-code-review` | core | Performs a structured five-stage code review covering requirements compliance, correctness, code quality, testing, and security/performance. Each stage uses targeted checklists and categorized feedback (Blocker/Major/Minor/Nit) with … | [source](https://github.com/rohitg00/skillkit/tree/d2e5c34/packages/core/src/methodology/packs/collaboration/structured-review) |
## Source: rsmdt/the-startup
- Repository: [https://github.com/rsmdt/the-startup](https://github.com/rsmdt/the-startup) (commit `ff6a0be`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `requirements-elicitation` | core | Requirement gathering techniques, stakeholder analysis, user story patterns, and specification validation. Use when clarifying vague requirements, resolving conflicting needs, documenting specifications, or validating requirements with … | [source](https://github.com/rsmdt/the-startup/tree/ff6a0be/plugins/team/skills/cross-cutting/requirements-elicitation) |
## Source: ruvnet/claude-code-flow
- Repository: [https://github.com/ruvnet/claude-code-flow](https://github.com/ruvnet/claude-code-flow) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `sparc-spec` | core | Run the SPARC Specification phase — gather requirements, define acceptance criteria, identify constraints, and store the spec in memory | [source](https://github.com/ruvnet/claude-code-flow/tree/73914bd/plugins/ruflo-sparc/skills/sparc-spec) |
## Source: ruvnet/ruflo
- Repository: [https://github.com/ruvnet/ruflo](https://github.com/ruvnet/ruflo) (commit `73914bd`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `sparc-spec` | core | Run the SPARC Specification phase — gather requirements, define acceptance criteria, identify constraints, and store the spec in memory | [source](https://github.com/ruvnet/ruflo/tree/73914bd/plugins/ruflo-sparc/skills/sparc-spec) |
## Source: samber/cc-skills-golang
- Repository: [https://github.com/samber/cc-skills-golang](https://github.com/samber/cc-skills-golang) (commit `4881c01`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `golang-samber-hot` | core | In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply … | [source](https://github.com/samber/cc-skills-golang/tree/4881c01/skills/golang-samber-hot) |
## Source: wanshuiyin/Auto-claude-code-research-in-sleep
- Repository: [https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep) (commit `eb5c9d7`, retrieved 2026-07-14)
- License: MIT
| Skill | Tier | What it adds | Upstream |
|---|---|---|---|
| `experiment-bridge` | core | Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says \"实现实验\", \"implement experiments\", \"bridge\", \"从计划到跑实验\", … | [source](https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/eb5c9d7/skills/experiment-bridge) |
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