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Claude Code Skills · page 19

Individual Claude Code skills mined from every repository in the directory: each SKILL.md, installable with one command, with its full definition and the repository's trust signals.

15,309 skills1-command install
  1. Cryptography expert for TLS, symmetric/asymmetric encryption, hashing, and key management

  2. CSS expert for flexbox, grid, animations, responsive design, and modern layout techniques

  3. Data analysis expert for statistics, visualization, pandas, and exploration

  4. Data pipeline expert for ETL, Apache Spark, Airflow, dbt, and data quality

  5. docker18.2k

    Docker expert for containers, Compose, Dockerfiles, and debugging

  6. Elasticsearch expert for queries, mappings, aggregations, index management, and cluster operations

  7. Professional email writing expert for tone, structure, clarity, and business communication

  8. Figma design expert for components, auto-layout, design systems, and developer handoff

  9. gcp18.2k

    Google Cloud Platform expert for gcloud CLI, GKE, Cloud Run, and managed services

  10. Git operations expert for branching, rebasing, conflicts, and workflows

  11. github18.2k

    GitHub operations expert for PRs, issues, code review, Actions, and gh CLI

  12. Go programming expert for goroutines, channels, interfaces, modules, and concurrency patterns

  13. GraphQL expert for schema design, resolvers, subscriptions, and performance optimization

  14. helm18.2k

    Helm chart expert for Kubernetes package management, templating, and dependency management

  15. Technical interview preparation expert for algorithms, system design, and behavioral questions

  16. jira18.2k

    Jira project management expert for issues, sprints, workflows, and reporting

  17. Kubernetes operations expert for kubectl, pods, deployments, and debugging

  18. Linear project management expert for issues, cycles, projects, and workflow automation

  19. Linux networking expert for iptables, nftables, routing, DNS, and network troubleshooting

  20. LLM fine-tuning expert for LoRA, QLoRA, dataset preparation, and training optimization

  21. Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps

  22. mongodb18.2k

    MongoDB operations expert for queries, aggregation pipelines, indexes, and schema design

  23. Next.js expert for App Router, SSR/SSG, API routes, middleware, and deployment

  24. nginx18.2k

    Nginx configuration expert for reverse proxy, load balancing, TLS, and performance tuning

  25. notion18.2k

    Notion workspace management and content creation specialist

  26. OAuth 2.0 and OpenID Connect expert for authorization flows, PKCE, and token management

  27. OpenAPI/Swagger expert for API specification design, validation, and code generation

  28. PDF content extraction and analysis specialist

  29. PostgreSQL expert for query optimization, indexing, extensions, and database administration

  30. Presentation expert for slide structure, storytelling, visual design, and audience engagement

  31. Project management expert for Agile, estimation, risk management, and stakeholder communication

  32. Prometheus monitoring expert for PromQL, alerting rules, Grafana dashboards, and observability

  33. Prompt engineering expert for chain-of-thought, few-shot learning, evaluation, and LLM optimization

  34. Python expert for stdlib, packaging, type hints, async/await, and performance optimization

  35. React expert for hooks, state management, Server Components, and performance optimization

  36. Redis expert for data structures, caching patterns, Lua scripting, and cluster operations

  37. Regular expression expert for crafting, debugging, and explaining patterns

  38. Rust programming expert for ownership, lifetimes, async/await, traits, and unsafe code

  39. searxng18.2k

    Privacy-respecting metasearch specialist using SearXNG instances

  40. Security audit expert for OWASP Top 10, CVE analysis, code review, and penetration testing methodology

  41. sentry18.2k

    Sentry error tracking and debugging specialist

  42. Shell scripting expert for Bash, POSIX compliance, error handling, and automation

  43. Slack workspace management and automation specialist

  44. SQL query expert for optimization, schema design, and data analysis

  45. SQLite expert for WAL mode, query optimization, embedded patterns, and advanced features

  46. System administration expert for Linux, macOS, Windows, services, and monitoring

  47. Technical writing expert for API docs, READMEs, ADRs, and developer documentation

  48. Terraform IaC expert for providers, modules, state management, and planning

  49. TypeScript expert for type system, generics, utility types, and strict mode patterns

  50. Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies

  51. WebAssembly expert for WASI, component model, Rust/C compilation, and browser integration

  52. Web search and research specialist for finding and synthesizing information

  53. Writing improvement specialist for grammar, style, clarity, and structure

  54. Guide a new user through their first computer-use agent run (env check, safe browser-only task, then open the trajectory viewer).

  55. verify17.6k

    Build and drive the copilot-kit-ag-ui demo to verify changes end-to-end.

  56. Connect SaaS data (HubSpot, Stripe, Salesforce, GitHub, Slack, etc.) to Wren Engine for SQL analysis. Guides the user through the full flow: install dlt, pick a SaaS source, set up credentials, run the data pipeline into DuckDB, then auto-generate a Wren semantic project from the loaded data. Use this skill whenever the user mentions: connecting SaaS data, importing data from an API, dlt pipelines, loading HubSpot/Stripe/Salesforce/GitHub/Slack data, querying SaaS data with SQL, or setting up a new data source from a REST API. Also trigger when the user already has a dlt-produced DuckDB file and wants to create a Wren project from it.

  57. Augment a Wren project with business context that DB schema cannot carry — enum value meanings, units (USD vs cents, ms vs sec), NULL semantics, magic sentinels (-1 = unknown), soft-delete default filters, business synonyms, time-grain / TZ conventions, cross-system identifiers, currency rules, canonical-table preferences, AND named aggregation metrics (ARR, churn, DAU, WAU, NRR) proposed as cubes. Runs in one of two modes selected at session start: `grill` (one question at a time, user-driven) or `auto-pilot` (agent infers and applies, escalates only on conflicts and high-blast-radius additions like new cubes / views / relationships). Reads everything under <project>/raw/ (PDFs, glossaries, handbooks, code, data dictionaries) and optionally samples low-cardinality columns from the live DB (grill mode), compares against the current MDL / cubes / knowledge (rules + NL→SQL pairs), then fills gaps via the ten-category gap catalog and the cube proposal flow. Confirmed findings are written back to the right sink. Use when: user says 'enrich context', 'augment my project', 'grill me on this project', 'auto-fill my context', 'agent doesn't understand our docs / enum values / units / null meanings', 'business context is missing', 'what does status=A mean', 'is this amount in USD or cents', 'we keep getting wrong aggregations', 'add cubes for ARR / DAU / churn', 'we have a handbook / glossary / data dictionary the agent should know'; or after generating an MDL and noticing the agent lacks business semantics.

  58. Generate a Wren MDL project by exploring a database with available tools (SQLAlchemy, database drivers, MCP connectors, or raw SQL). Guides agents through schema discovery, type normalization, and MDL YAML generation using the wren CLI. Use when: user wants to create or set up a new MDL, onboard a new data source, or scaffold a project from an existing database.

  59. Onboard a user to Wren Engine end-to-end. Walks through environment checks, project scaffolding, connection configuration via .env, and first query. Use when: user wants to install Wren Engine, set up a new data source connection, or bootstrap a new project from scratch. Triggers: '/wren-onboarding', 'install wren', 'set up wren engine', 'wren onboarding', 'connect new database to wren'.

  60. usage17.6k

    Wren Engine CLI workflow guide for AI agents. Answer data questions end-to-end using the wren CLI: gather schema context, recall past queries, write SQL through the MDL semantic layer, execute, and learn from confirmed results. Use when: user asks a data question, requests a report or analysis, asks about metrics, revenue, customers, orders, trends, or any business data; user says 'how many', 'show me', 'what is the', 'top N', 'compare', 'trend', 'growth', 'breakdown'; user wants to explore, analyze, filter, aggregate, or summarize data from a database; agent needs to query data, connect a data source, handle errors, or manage MDL changes via the wren CLI.

  61. wren17.6k

    Wren CLI for AI agents — a semantic SQL layer over 22+ databases (Postgres, MySQL, BigQuery, Snowflake, Spark, …). The actual workflow guides live inside the `wren` CLI itself; this is just a discovery stub. Use whenever the user asks a data question (how many, show me, top N, compare, trend, breakdown, metric, revenue, customers, orders), wants to install / set up Wren Engine, connect a new database, connect SaaS data via dlt (HubSpot, Stripe, Salesforce, GitHub, Slack), generate or regenerate an MDL project from a database schema, enrich a project with business context (enum meanings, units, cubes like ARR / DAU / churn), or turn a project's context layer into a shareable GenBI web app / dashboard and deploy it to Vercel or Cloudflare. Triggers: 'install wren', 'set up wren engine', 'connect database to wren', 'connect SaaS to wren', 'load hubspot / stripe / salesforce data', 'generate mdl', 'scaffold wren project', 'enrich wren context', 'augment my project', 'add cubes', 'build a dashboard', 'make a shareable analytics app', 'deploy my context layer as a web app', 'genbi app', 'wren onboarding', 'wren usage', 'wren generate mdl', 'wren dlt connector', 'wren enrich context', 'wren genbi'.

  62. genbi17.6k

    Turn a Wren project's context layer into a shareable, browser-side GenBI web app and deploy it to the user's Vercel or Cloudflare account. Orchestrates the full flow: `wren genbi build` returns a project-hydrated build instruction, the agent authors the app from scratch into apps/<name>/, then register → verify → deploy produce a shareable URL. Use this skill whenever the user wants to: build a dashboard from their Wren project, make a shareable analytics app, deploy their context layer as a web app, host a GenBI app on Vercel or Cloudflare Pages, or asks for a 'genbi app'.

  63. watch17.1k

    Watch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.

  64. Review AI agent skills before installation using NVIDIA SkillSpector and source-aware semantic review. Use when asked whether a skill or downloaded skill folder is safe, trustworthy, installable, over-permissioned, or malicious.

  65. Use when an MCP-connected agent should use Memori tools for targeted recall, summaries, post-compaction briefs, durable memory augmentation, quota checks, signup, feedback, preferences, prior context, or cross-session continuity.

  66. memori16.6k
  67. AI Berkshire skill: 供应链瓶颈猎手:AI驱动的全球产业链瓶颈套利. Source: skills/bottleneck-hunter.md.

  68. AI Berkshire skill: 看懂XX公司(深度公司系列):3-8 篇长文拆一家公司. Source: skills/deep-company-series.md.

  69. dyp-ask16.3k

    AI Berkshire skill: 段永平问答:以他的方式思考. Source: skills/dyp-ask.md.

  70. AI Berkshire skill: 财报精读:一手资料深度解读. Source: skills/earnings-review.md.

  71. AI Berkshire skill: 财报精读团队:四大师并行解读 + 公众号发布. Source: skills/earnings-team.md.

  72. AI Berkshire skill: 时代α捕手:高增长核心资产的识别-验证-持有框架. Source: skills/era-alpha.md.

  73. AI Berkshire skill: 财务数据获取与交叉验证规范. Source: skills/financial-data.md.

  74. AI Berkshire skill: Income Investment: Durable and Opportunistic Distribution Analysis. Source: skills/income-investment.md.

  75. AI Berkshire skill: 行业漏斗筛选:从全市场到 3 家的价值投资精选流程. Source: skills/industry-funnel.md.

  76. AI Berkshire skill: 行业投资研究:产业链全景扫描 + 四大师个股分析框架. Source: skills/industry-research.md.

  77. AI Berkshire skill: 巴菲特价值投资买入前 Checklist. Source: skills/investment-checklist.md.

  78. Codex-only writing and layout overlay for AI Berkshire investment research reports. Use whenever Codex creates, rewrites, revises, or critiques company/industry/fund research reports, especially long-form Markdown reports that need financial rigor, readable business mechanics, contrarian analysis, valuation-to-action guidance, investor-specific recommendations, restrained typography, and clear buy/hold/sell signals. Do not use this to modify Claude Code slash-command sources.

  79. AI Berkshire skill: 投资研究:巴菲特-芒格-段永平-李录 四大师综合分析框架. Source: skills/investment-research.md.

  80. AI Berkshire skill: 投研团队:四角色并行分析框架. Source: skills/investment-team.md.

  81. AI Berkshire skill: 管理层纵深研究:买股票就是买人. Source: skills/management-deep-dive.md.

  82. 公司新闻脉搏:股价异动时快速归因。用 4 个并行 Agent 侦察公司事件/监管政策/行业对手/市场情绪,产出"事件时间线 + 异动主因判断 + 是否触发论文重审"。

  83. AI Berkshire skill: 组合管理:从\"研究公司\"到\"管理组合\". Source: skills/portfolio-review.md.

  84. AI Berkshire skill: 未上市公司研究:多Agent并行深度研究框架. Source: skills/private-company-research.md.

  85. AI Berkshire skill: 去劣筛选:7条指标快速排除非一流公司. Source: skills/quality-screen.md.

  86. AI Berkshire skill: 投资论文漂移检测:分清事实变化与措辞变化. Source: skills/thesis-drift.md.

  87. AI Berkshire skill: 投资论文追踪:买入后的纪律系统. Source: skills/thesis-tracker.md.

  88. AI Berkshire skill: 微信公众号文章:作者-编辑-读者三Agent协作. Source: skills/wechat-article.md.

  89. Install Wasp agent skills (plugins) that add Wasp knowledge and best practices to your AI coding tools.

  90. Get started with your Open SaaS project — fetches docs, checks Wasp installation, and helps you start your database and app.

  91. Take a guided tour of Open SaaS — walks you through step-by-step through the project structure, features, and customization checklist.

  92. Turn an object or character reference image into a quality-gated, animation-ready procedural Three.js model built in code. Use for image-to-3D reconstruction, detail-accurate object rebuilds, stylized/likeness-maximized human characters, sculpt specs, and staged code generation.

  93. skills15.8k
  94. ego-browser (ego-lite) is a Chromium-based browser designed from the ground up to be friendly to both human users and AI Agents. AI Agents work in their own isolated space, reusing the user's login state without competing for the browser. Use this skill whenever the user needs to interact with a website opening pages, filling forms, clicking buttons, taking screenshots, extracting page data, testing web apps, logging into sites, automating browser operations, or any other browser automation task. Triggers include requests to "open a website", "visit a URL", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "extract content from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also used for exploratory testing, dogfooding, QA, bug hunting, or reviewing app quality. Prefer ego-browser over any built-in browser automation, web fetch, or other web tools.

  95. docx15.2k

    Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of \"Word doc\", \"word document\", \".docx\", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a \"report\", \"memo\", \"letter\", \"template\", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.

  96. pdf15.2k

    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 new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

  97. pptx15.2k

    Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions \"deck,\" \"slides,\" \"presentation,\" or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.