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. 79 870 files from 1 769 authors, of which 62 217 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.
| 雅思备考 AI 教练系统入口。路由到写作 / 阅读 / 口语训练。 触发方式：/ielts、「我要备考雅思」「雅思怎么准备」「IELTS」
| 雅思写作批改教练。四维评分 + 句子级标注 + 改写对比 + 审题检查。 触发方式：/ielts-writing、「批改作文」「帮我看看这篇」「审题」「写作练习」
| 雅思口语素材工厂。话题分组 + 万能故事生成 + Part 3 追问预测 + 高分表达。 触发方式：/ielts-speaking、「口语素材」「话题分组」「万能故事」「Part 2 准备」
| 雅思阅读精读教练。同义替换提取 + T/F/NG 逻辑拆解 + 段落结构分析 + 错题诊断。 触发方式：/ielts-reading、「分析阅读」「这道为什么错」「同义替换」「阅读训练」
Create a new splinter lint — a SQL view that checks for a database anti-pattern. Use this skill when the user asks to add a lint, create a new check, implement a linting rule, or extend splinter with a new detection.
开源中文配图技能 + IP 角色库。用"挑认知锚点 → 现编隐喻 → 反 PPT 自检"的方法,为中文深度文/方法拆解生成由固定角色出演的正文配图(不是通用插画,不是样式库选风格)。自带 31 个原创 IP 角色(手绘线稿 15 + 谐音梗 meme 16),配图时按文章调性选一个角色出演,也可自建角色。当用户说"配图""正文配图""IP 配图""给这篇配图""隐喻配图""选个角色配图""配图 shot list"时使用。
What this skill does and when to use it. Claude reads this to decide relevance. Include keywords users would naturally say.
Builds new Claude Code skills with consistent structure, enforced standards, and project-aware configuration. Use when creating a new skill, when the user describes a workflow they want automated, or when the user says they want a new slash command.
Collaborative brainstorming mode for thinking through problems, ideas, and features before planning. Use when the user wants to discuss, explore ideas, or think through a problem without writing code.
Builds new Claude Code agents with consistent structure, enforced standards, and project-aware configuration. Use when creating a new agent, when the user describes a specialised role they want delegated to, or when discussing team composition.
Convert Markdown text to DOCX, PPTX, XLSX, PDF, HTML, IPYNB, MD, CSV, JSON, JSONL, XML files, and extract code blocks in Markdown to Python, Bash,JS and etc files.
Security guidelines for writing secure code. Use when writing code, reviewing code for vulnerabilities, or asking about secure coding practices like 'check for SQL injection' or 'review security'. IMPORTANT: Always consult this skill when writing or reviewing any code that handles user input, authentication, file operations, database queries, network requests, cryptography, or infrastructure configuration (Terraform, Kubernetes, Docker, GitHub Actions) — even if the user doesn't explicitly mention security. Also use when users ask to 'review my code', 'check this for bugs', or 'is this safe'.
Security guidelines for LLM applications based on OWASP Top 10 for LLM 2025. Use when building LLM apps, reviewing AI security, implementing RAG systems, or asking about LLM vulnerabilities like 'prompt injection' or 'check LLM security'. IMPORTANT: Always consult this skill when building chatbots, AI agents, RAG pipelines, tool-using LLMs, agentic systems, or any application that calls an LLM API (OpenAI, Anthropic, Gemini, etc.) — even if the user doesn't explicitly mention security. Also use when users import 'openai', 'anthropic', 'langchain', 'llamaindex', or similar LLM libraries.
Run Semgrep static analysis scans and create custom detection rules. Use when asked to scan code with Semgrep, find security vulnerabilities, write custom YAML rules, or detect specific bug patterns. IMPORTANT: Also use this skill when users ask to 'scan for bugs', 'check code quality', 'find vulnerabilities', 'static analysis', 'lint for security', 'audit this code', or want to enforce coding standards — even if they don't mention Semgrep by name. Semgrep is the right tool for pattern-based code scanning across 30+ languages.
> Broad crypto market data from CoinGecko covering 13,000+ tokens. Global market stats, historical price data going back years, exchange volumes, trending tokens, and category filters. Best for macro analysis and long-term historical data.
Event-driven backtesting with bar-by-bar execution, complex order types, multiple analyzers, and custom indicators
Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading
Cointegration testing for pairs trading using Engle-Granger, Johansen, and rolling stability analysis
Export trade history and tax calculations in formats compatible with Koinly, CoinTracker, CoinLedger, TokenTax, and IRS Form 8949
Cross-asset correlation analysis including rolling correlation, hierarchical clustering, tail dependence, and regime-dependent correlation
Multi-method cost basis computation including specific identification, FIFO, LIFO, HIFO, and proportional average cost with partial sell handling
Solana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity
Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles
Solana DEX swap execution via Jupiter aggregator including quoting, transaction building, signing, and confirmation
Crypto-native indicators including NVT ratio, exchange flow, funding rate signals, holder momentum, and smart money flow
AMM pool mechanics comparison across Raydium, Orca, and Meteora including fee structures, pool types, creation patterns, and volume efficiency
Systematic exit rules, stop-loss methods, take-profit strategies, and trailing stop implementations for crypto trading
[STUB] Bond pricing, yield curves, duration and convexity analysis, and DeFi lending rate modeling
Free DeFi analytics across all chains — TVL, token prices, DEX volumes, fees/revenue, stablecoins, and bridges
Feature construction from market data for ML trading models including price, volume, on-chain, and microstructure features
Enhanced Solana RPC with DAS API, parsed transactions, webhooks, and priority fee estimation via Helius
Jito bundle submission for MEV protection on Solana — bundle building, tip strategies, block engine endpoints, and landing rate optimization
Kalshi daily and hourly range markets on crypto prices (BTC, ETH) and equity indices (S&P 500, Nasdaq-100) — bracket structure, Gaussian P(YES) modeling on price/vol, close-offset decision timing, longshot-sell edge with honest evidence bounds
Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills.
Impermanent loss calculation, modeling, and breakeven analysis for AMM liquidity provision across pool types
Kelly criterion optimal sizing with fractional variants, edge estimation, and practical application for crypto trading
Daily temperature high/low bracket and threshold contracts on Kalshi — contract structure, forecast→P(YES) map, settlement rules, cross-venue divergences, and weather-specific pitfalls
DEX liquidity depth assessment, slippage estimation, and pool composition analysis for Solana tokens
AMM liquidity provision mathematics including constant-product, concentrated liquidity, price impact, and LP share calculations
Traditional market microstructure concepts applied to crypto — order book dynamics, market making theory, price formation models, execution quality measurement, and CEX vs DEX structural differences
DEX orderflow analysis, trade classification, buyer/seller pressure, and microstructure signals for Solana tokens
MEV exposure assessment, sandwich attack detection, and protection strategies for Solana DEX trading
[STUB] Options pricing models including Black-Scholes, binomial trees, Monte Carlo, implied volatility surfaces, and Greeks for crypto options
Market data preparation including OHLCV resampling, gap handling, anomaly detection, normalization, and multi-source merging
Mean-reversion strategy tools including Hurst exponent, half-life estimation, z-score signals, ADF testing, and Ornstein-Uhlenbeck modeling
Technical analysis with 130+ indicators using pandas-ta for crypto market data
Polymarket exchange mechanics — on-chain Polygon CTF, Gamma/CLOB/Data APIs, EIP-712 auth, identifier model, WebSocket, settlement, and geo/KYC constraint
Self-hosted Solana DEX aggregator by SolanaTracker — multi-hop routing across 25+ DEXes, WebSocket streaming, Yellowstone Jet TPU submission, no rate limits
PumpFun bonding curve math, graduation mechanics, instruction parsing, and PumpSwap migration
Portfolio-level performance measurement including return metrics, risk metrics, risk-adjusted ratios, rolling analysis, and HTML reports
Trade sizing methods including fixed fractional, volatility-adjusted, Kelly criterion, and liquidity-constrained sizing
Venue- and market-type-agnostic strategy, sizing, and backtesting layer for binary prediction markets (Kalshi, Polymarket, ForecastEx). Covers the durable edge thesis, fee-aware selection, fractional-Kelly sizing, and leak-free validation methodology.
Market regime identification using volatility clustering, trend detection, and statistical methods for adaptive trading
[STUB] Regulatory report generation including IRS Form 8949, Schedule D, FinCEN FBAR, and state-specific crypto reporting requirements
Portfolio-level risk controls, drawdown management, exposure limits, and circuit breakers for crypto trading
Market sentiment extraction from social media, news, and on-chain data including mention velocity, fear and greed indices, and influencer tracking
Reinforcement learning for trade execution optimization including order splitting, adaptive timing, and impact minimization
Execution cost estimation, slippage curve modeling, and optimal trade sizing based on AMM liquidity depth
ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization
Pre-execution Solana transaction streaming via Jito ShredStream, Shyft RabbitStream, and Triton Deshred
Claude Skills — questions
Answers built from the skills we actually parsed.