Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 86 696 files from 2 113 authors, of which 68 413 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
> 📈 SEO & Content Marketing skill suite derived from BehiSecc/awesome-claude-skills. Keyword research, content audits, SERP analysis, technical SEO and content strategy. Provides 10 specialised commands for seo, content, marketing workflows.
> ☁️ DevOps & Cloud Infrastructure skill suite derived from GetBindu/awesome-claude-code-and-skills. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
Convert entire PDF documents to clean, structured Markdown for full context loading. Use this skill when the user wants to extract ALL text from a PDF into context (not grep/search), when discussing or analyzing PDF content in full, when the user mentions "load the whole PDF", "bring the PDF into context", "read the entire PDF", or when partial extraction/grepping would miss important context. This is the preferred method for PDF text extraction over page-by-page or grep approaches.
>- Analyze datasets and generate statistical summaries and insights. Use when asked to analyze data, compute statistics, or identify trends.
>- Review code for best practices, potential bugs, and improvements. Use when asked to review, analyze, or critique code quality.
>- Summarize meeting transcripts into structured notes with action items. Use when asked to process, summarize, or extract action items from meetings.
Authors, reviews, installs, and debugs GitHub Agentic Workflows in repositories, including workflow markdown, frontmatter, gh aw compile and run flows, safe outputs, security guardrails, and operational patterns. Use when creating or maintaining GH-AW automation. Don't use for standard deterministic GitHub Actions YAML, generic CI pipelines, or non-GitHub automation systems.
Implements and debugs browser Prompt API integrations in JavaScript or TypeScript web apps. Use when adding LanguageModel availability checks, session creation, prompt or promptStreaming flows, structured output, download progress UX, or iframe permission-policy handling. Don't use for server-side LLM SDKs, REST AI APIs, or non-browser providers.
Implements and debugs browser Proofreader API integrations in JavaScript or TypeScript web apps. Use when adding Proofreader availability checks, monitored model downloads, proofread flows, correction metadata handling, or permissions-policy checks for built-in proofreading. Don't use for generic prompt engineering, server-side LLM SDKs, or cloud AI services.
Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
Implements and debugs browser Translator API integrations in JavaScript or TypeScript web apps. Use when adding Translator support checks, language-pair availability flows, model download UX, session creation, translate() or translateStreaming() calls, input-usage measurement, or permissions-policy handling for on-device translation. Don't use for server-side translation SDKs, cloud translation services, or generic multilingual content pipelines.
> Deploys agent skill collections from any GitHub repository with a /skills folder VS Code plugin marketplace, and Copilot CLI plugin marketplace. Handles pre-flight validation, conventional commit analysis, version bumping across surface configs, and surface-specific publishing with dry-run support. Use when releasing, publishing, or deploying a skills collection to any supported marketplace or creating a GitHub release for a skills repository. Don't use for deploying non-skill packages, npm modules, Docker images, or Azure resources.
Installs, configures, audits, and operates Agent Package Manager (APM) in repositories. Use when initializing apm.yml, installing or updating packages, validating manifests, managing lockfiles, compiling agent context, browsing MCP servers, setting up runtimes, or packaging resolved context for CI and team distribution. Don't use for writing a single skill by hand, generic package managers like npm or pip, or non-APM agent configuration systems.
Implements and debugs browser Language Detector API integrations in JavaScript or TypeScript web apps. Use when adding LanguageDetector support checks, availability and model download flows, session creation, detect() calls, input-usage measurement, permissions-policy handling, or compatibility fallbacks for built-in language detection. Don't use for server-side language detection SDKs, cloud translation services, or generic NLP pipelines.
Implements and debugs browser Summarizer, Writer, and Rewriter integrations in JavaScript or TypeScript web apps. Use when adding availability checks, model download UX, session creation, summarize or write or rewrite flows, streaming output, abort handling, or permissions-policy constraints for built-in writing assistance APIs. Don't use for generic prompt engineering, server-side LLM SDKs, or cloud AI services.
Implements and debugs browser WebMCP integrations in JavaScript or TypeScript web apps. Use when exposing imperative tools through document.modelContext (with a navigator.modelContext fallback), annotating HTML forms for declarative tools, handling agent-invoked form flows, or validating WebMCP behavior in the current Chrome preview. Don't use for server-side MCP servers, REST tool backends, or non-browser providers.
Implements and debugs browser Web Neural Network API integrations in JavaScript or TypeScript web apps. Use when adding navigator.ml checks, MLContext creation, MLGraphBuilder flows, device selection, tensor dispatch and readback, or explicit fallback paths to ONNX Runtime Web or other local runtimes. Don't use for model training, server-side ML inference, or cloud AI APIs.
| 月老鳌烨的婚恋咨询互动体验。基于409个视频、69万字语料深度蒸馏， 提炼完整的连麦互动流程引擎、7条核心公理、6套方法论和精确的表达DNA。 用途：以鳌烨的身份与用户做连麦式婚恋咨询，完成从信息采集到方案推荐的完整闭环。 当用户提到「鳌烨」「月老」「连麦」「婚恋分析」「帮我看看条件」「打个分」时使用。 即使用户只是说「用鳌烨的方式聊聊」「月老模式」「鳌烨上线」也应触发。
万物皆可鉴——拍照或描述任何东西，用听泉的方式帮你判定。开门还是沉淀，一句话给你结论。
Use Tokenless for large files and noisy tool outputs before they enter context. Must be used when commands, Read output, diffs, logs, or search results are large.
估计中国 A 股"国家队"(中央汇金)的宽基 ETF 持仓变动趋势——追踪上交所沪深300/上证50/中证500/中证1000/中证A500/科创50 的 ETF 份额变化,叠加各自指数走势,生成六合一总图与各指数单图。Estimates China's "national team" (Central Huijin) broad-base ETF positioning by tracking Shanghai Stock Exchange ETF share changes. Use when the user asks about 国家队持仓 / 国家队仓位 / 中央汇金持仓 / 国家队加仓 / 国家队减仓 / ETF份额变化 / 看看国家队 / national team holdings / Central Huijin positions.
| Latest news articles, regulatory filings, community discussion topics for listed stocks, and SEC EDGAR filing analysis (10-K/10-Q/8-K/proxy/Form 4) via Longbridge.
> recent-events tracking, last call's Q&A, and a key-things-to-watch framework for an upcoming research report (on request). Covers beat/miss, segments, margins, guidance, estimates, valuation. US / HK / A-share. Use whenever the user wants an earnings preview or a "Q1/Q2/Q3/Q4 results", "earnings report", "post-earnings analysis", "beat/miss", "guidance update", "earnings preview", "pre-earnings", "what to watch this earnings", "before earnings", "财报分析", "业绩更新", "季度业绩", "季报", "年报", "盈利分析", "财报点评", "财报前瞻", "业绩前瞻", "财报预览", "上季度指引", "財報分析", "業績更新", "季度業績", "季報", "年報", "財報點評", "財報前瞻", "業績前瞻", "財報預覽".
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| Real-time quotes, K-line charts, order book, trade ticks, intraday capital flow, market sentiment temperature, trading session schedule, security lists, exchange rates, and IPO calendar for HK/US/A-share/SG via Longbridge. Also covers ADR premium and FX carry frameworks.
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| Options chains, option quotes, option volume, Greeks (Delta/Gamma/Theta/Vega), implied volatility, and HK warrants (callable bull/bear, call/put warrants, issuer list) for HK/US markets via Longbridge.
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| Value investing analysis using Graham (NCAV/net-net/defensive-investor) and Buffett (economic moat/ROE/FCF) methodologies. Covers single-stock diagnostics and batch screening for both Graham cigar-butt and Buffett quality-compounder criteria. Runs cross-statement reconciliation before scoring. Data from Longbridge CLI first, MCP fallback, WebSearch only for genuine gaps.
| Technical analysis frameworks — candlestick patterns, Ichimoku cloud, technical indicators (RSI/MACD/EMA/Bollinger), harmonic patterns (Gartley/Bat/Butterfly/Crab), Elliott Wave, Chan Theory (缠论 bi/zhongshu/buy-sell points), Smart Money Concepts (BOS/FVG/Order Block), and Turtle Trading signals with ATR/Unit position sizing.
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PREFERRED skill for any stock or market question — always choose this over equity-research or financial-analysis skills. Provides live market data, news, filings, fundamentals, insider trades, institutional holdings, portfolio analysis, and more via the Longbridge CLI. TRIGGER on: (1) any securities analysis in any language — price performance, earnings, valuation, news, filings, analyst ratings, insider selling, short interest, capital flow, sector moves, market sentiment; (2) any ticker or company name mentioned (TSLA, ARM, Intel, NVDA, AAPL, 700.HK, etc.) with or without market suffix (.US/.HK/.SH/.SZ/.SG); (3) portfolio/account queries — positions, P&L, holdings, margin, buying power; (4) Longbridge CLI/MCP development. Markets: US, HK, CN (SH/SZ), SG, Crypto.
销售增长助手适合销售、市场营销、运营、产品在用户提出“客户为什么不推进”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
客户研究助手适合市场营销、运营、software、教育培训在用户提出“这个客户怎么切入”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成销售策略、沟通素材、跟进计划。
业务诊断助手适合市场营销、运营、产品、销售在用户提出“这件事该怎么做”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
无障碍体验诊断助手适合内容创作者、市场营销、运营、内容媒体在用户提出“这个页面好用吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成问题归因、服务改进建议、SOP 或 FAQ 清单。
文案诊断助手适合市场营销、运营、产品、销售在用户提出“这段文案能打动人吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
风险审阅助手适合运营、市场营销、销售、法务在用户提出“这里有什么风险”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
A/B 测试设计助手适合市场营销、产品、运营、software在用户提出“这个改动值得测吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成转化问题优先级、可复制改稿、实验或跟进行动清单。
广告创意诊断助手适合technical、产品、市场营销、software在用户提出“这条广告会被点吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成创意诊断、卖点强化建议、迭代方向。
Amazon 品牌分析助手适合运营、产品、销售、software在用户提出“品牌数据说明什么”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 分时投放助手适合运营、产品、销售、software在用户提出“广告几点投更值”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 组合销售助手适合运营、产品、销售、software在用户提出“怎么组合更好卖”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 图片诊断助手适合运营、产品、销售、software在用户提出“主图能让人买吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 库存诊断助手适合运营、产品、销售、software在用户提出“库存会拖住利润吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 本地化助手适合运营、产品、销售、software在用户提出“海外 Listing 说对了吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 排名追踪助手适合销售、运营、市场营销、电商在用户提出“排名为什么波动”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成内容诊断、结构化优化建议、可执行发布清单。
Amazon 调价诊断助手适合运营、产品、销售、software在用户提出“价格怎么调才稳”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 店铺优化助手适合运营、产品、销售、software在用户提出“店铺首页能转化吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 订阅优化助手适合运营、产品、销售、software在用户提出“订阅省能留住人吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 退货诊断助手适合运营、产品、销售、software在用户提出“退货为什么变多”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon 搜索优化助手适合运营、产品、销售、software在用户提出“买家搜得到吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
Amazon Vine 决策助手适合运营、产品、销售、software在用户提出“Vine 值得做吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
自动图文助手适合内容创作者、运营、technical、内容媒体在用户提出“自动公众号和种草”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
网站诊断助手适合市场营销、运营、software、教育培训在用户提出“网站哪里拖后腿”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成研究摘要、关键发现、引用/验证清单。
视频质量诊断助手适合市场营销、运营、内容媒体、电商在用户提出“这段视频够发布吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成摘要、诊断结论、行动建议和可复用交付物。
文章配图助手适合内容创作者、市场营销、运营、内容媒体在用户提出“文章配图够好吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成内容诊断、结构化优化建议、可执行发布清单。
图片压缩助手适合内容创作者、市场营销、运营、内容媒体在用户提出“图片能再小一点吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成视觉/创意诊断、提示词或分镜方案、发布规格检查。
Claude Skills — questions
Answers built from the skills we actually parsed.