Skills
97,905 packaged capabilities and playbooks for agents. Install any of them with one command.
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Build bulletproof React components that survive SSR, hydration, concurrent rendering, portals, transitions, and future React changes. Nine essential patterns from Shu Ding's guide. Use when writing reusable React components, fixing hydration mismatches, handling SSR edge cases, or building component libraries.
ByteHouse AI query skill providing natural language to SQL (Text2SQL), SQL execution, schema lookup, multimodal vectorization and vector retrieval, covering everyday querying, SQL generation and execution on the ByteHouse cloud data warehouse. Use this Skill when users mention "ByteHouse", "query a table", "query data", "Text2SQL", "natural language query", "list databases", "list tables", "execute SQL", "generate SQL", "multimodal retrieval", or need to accomplish the above tasks with ByteHouse.
AI-optimized web search, image search and content extraction via BytePlus InfoQuest API. Use this skill when you need to gather concise and up-to-date information from the web, find images, or extract clean content from specific URLs.
Context and working knowledge for Calci’s prediction-market domain, which is powered by Kalshi. Use this skill whenever the user asks about Calci prediction markets, Kalshi markets, tickers, order books, pricing, settlement, or the Kalshi API/WebSocket.
Plan comprehensive marketing campaigns from strategy through execution. Develop campaign briefs, select optimal channels, create timelines, allocate budgets, define targeting parameters, design A/B testing strategies, and establish performance measurement frameworks.
Unified visual content system for cardiology thought leadership. Automatically routes requests to the optimal tool—Fal.ai for blog imagery, Gemini for infographics, Mermaid for flowcharts/pathways, Marp for slides, Plotly for data visualization. One skill handles all visual needs within Claude Code.
Turns a piece of Craig's content (an email, a YouTube script, an essay, or pasted text) into a polished image carousel publishable to both LinkedIn and Instagram from one set of 1080x1350 slides. Distills the source into 5-8 one-idea-per-slide beats, generates hand-drawn infographic illustrations with GPT Image (OpenAI), renders pixel-perfect on-brand slides via headless browser, assembles a LinkedIn PDF, and writes a caption. Triggers: 'make a carousel,' 'carousel from this email/script,' 'turn this into LinkedIn slides,' 'Instagram carousel from X.' Brand is locked to context/brand/03-visual-identity.md — output is identical styling every run.
The Challenger Sale methodology — Teach-Tailor-Take Control framework for B2B sales. Use when: challenger sale, commercial teaching, constructive tension, reframe, teach tailor take control, insight selling, commercial insight, challenger rep.
Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts. Triggers when the user asks to visualize data, create a graph, plot a time series, or generate a chart for a report, alert, or dashboard. Runs as a lightweight, headless Node.js process without a browser.
Chat archiver. Triggers when the user says "archive", "archive conversation", "save this conversation" or "/chat-archiver". Reviews the current conversation, extracts valuable content, classifies it and stores it in the user's knowledge base. Supports both config mapping and auto-discovery modes.
Must read before using the hosted ChatCut plugin in Codex, including creating projects, opening the editor, or editing/creating videos. Also use when ChatCut tools are missing or need authentication. For ChatCut Desktop, follow its own instructions unless the user explicitly chooses the hosted plugin/web surface.
Meta-cognitive decision support that analyzes current context and surfaces intelligent next-step options to the user. Use this skill when: (1) User explicitly invokes /checkpoint, (2) Significant work has been completed and a checkpoint is valuable, (3) Uncertainty or ambiguity exists about requirements or approach, (4) Task complexity has expanded beyond initial scope, (5) Before finalizing or committing to ensure nothing is missed. This skill pauses execution, assesses the situation holistically, and presents 2-5 contextually-appropriate options via AskUserQuestion, with a recommended option and rationale.
Use when the user provides a plot summary, scene idea, character relationship, emotional beat, or short video concept and wants a cinematic AI video prompt. First diagnose the story, then rewrite it into a model-ready prompt for Kling, Seedance, Veo, Sora, Runway, Jimeng, or general AI video models.
Exam preparation guidance skill for China's national civil service exam (国考) and provincial civil service exams (省考), offering comprehensive guidance on strategies for 行测 (verbal, quantitative, judgment, data analysis, general knowledge) and 申论, study plan creation, current-affairs hotspot tracking, past-exam question analysis techniques, and structured interview simulations. Use cases: (1) the user asks about civil service exam information, (2) needs a study plan, (3) needs guidance for 行测/申论 focused training, (4) wants to learn about current-affairs hotspots and past exam questions, (5) is preparing for interviews and needs mock practice.
AI-native mentor and onboarding flow for the four independent Claude certification tracks in AI Engineering from Scratch. For learners who want to choose a Claude certification, prepare for CCAO-F, CCDV-F, CCAR-F, or CCAR-P, continue a certification path, interactively study the next lesson, run and verify hands-on labs, build and score artifacts, take a diagnostic or mock assessment, or shore up weak exam areas via Claude Code, Codex, ChatGPT, Cursor, or another agent on GitHub.
Claude Code CLI tool expertise. Features: autonomous coding, slash commands, MCP servers, Agent Skills, hooks, plugins, CI/CD integration. Capabilities: setup/config, troubleshooting, skill creation, MCP integration, enterprise deployment, workflow automation. Actions: configure, troubleshoot, create, deploy, integrate Claude Code. Keywords: Claude Code, Anthropic, CLI tool, slash command, MCP server, Agent Skill, hook, plugin, CI/CD, enterprise, CLAUDE.md, agentic coding, terminal tool, workflow automation, code generation, skill creation, configuration, authentication, API key. Use when: learning Claude Code features, configuring settings, creating skills/hooks, setting up MCP servers, troubleshooting issues, CI/CD integration, enterprise deployment questions.
Audio processing for video files using FFmpeg. Loudness normalization to streaming standards (LUFS), noise reduction, audio mixing, extraction, replacement, silence detection and removal, equalization, compression, fade effects, format conversion, and audio ducking. Use when user says "audio", "normalize", "volume", "loudness", "LUFS", "noise", "silence", "extract audio", "replace audio", "mix audio", "equalizer", "compress audio", "ducking", or "sidechain".
Finalize a completed Beads feature by reconciling documentation, validating delivery, recording implementation, reviewing drift, and executing `pr`, `merge`, or `ready`. Use when asked to close a feature, prepare it for delivery, or reconcile implementation and documentation after its implementation coordinator closes.
Reference for Cloudflare Workers AI, running AI models on serverless GPUs through the env.AI.run() binding. Covers the AI binding in wrangler.jsonc, model selection (@cf/meta/llama, Flux and Stable Diffusion image generation, BGE embeddings, vision models), streaming responses, AI Gateway caching, RAG with Vectorize, Vercel AI SDK integration and OpenAI-compatible endpoints, plus rate limits, neuron pricing and a production checklist. Use when implementing AI inference in a Cloudflare Worker, generating text or images at the edge, configuring Workers AI bindings, adding AI streaming, wiring up AI Gateway, building embeddings or RAG on Workers, or debugging AI_ERROR, rate limit errors, model not found, model unavailable, token limit exceeded, neurons exceeded, quota exceeded or streaming failures.
Cobalt Strike operational methodology. Use when using CS for collaborative penetration testing, configuring Listeners/Payloads, managing Beacon sessions, performing post-exploitation operations (privilege escalation/lateral movement/credential theft), or writing Aggressor automation scripts. Covers TeamServer deployment, Listener configuration, Payload generation, Beacon management, post-exploitation commands, Malleable C2 Profile, and Aggressor script development
Review code for API shape, error handling, backward compatibility, and product-vs-library fit. Use when reviewing public APIs, library interfaces, error types, dependency choices, or product code being over-engineered, or when deciding between "ship the dumb version" and "design for stability". Do NOT use for deletion-focused or anti-bloat review (use code-review-russ-cox).
Review a change or audit existing code through the Russ Cox lens — necessity, layering, minimal seams, error/logging/testing discipline, and anti-bloat. Use when reviewing diffs, new features, or dependency additions, or when asked to "audit this package", "refactor/polish this code", "find design, implementation, or style problems", "do we need this?", or "is this too complex?". Do NOT use for public API shape or product-vs-library tradeoffs (use code-review-mitsuhiko) or invariant/cost honesty (use code-review-burntsushi).
Run the cold-start interview to learn your commercial contract practice and write it into the team practice-area configuration. Use on first use of the plugin, when the config file is missing or still contains template placeholders, or when the user says "set up the plugin", "configure commercial contracts", "guide me", or "let's get started". This is the only skill that should run on a fresh install.
Deliver an approved task through an auditable multi-model panel with test, review, and verification evidence. Use when the user requires a recorded panel trail for implementation. For the normal fast path, use implement-and-review or implement-tasks.
How the reference commerce agents of either role are structured, covering the loop, where each rule lives, skills, the backend interface, delegates, and model fields. Load when designing or reviewing the structure of a shopping or merchant agent.
Authoring and running behavioral evals for a shopping or merchant agent, covering the case shape, authoring rules, code graders and judges, the run pattern, and poisoned fixtures. Load when writing eval cases or rubrics or deciding how a suite runs.
The reference agents' cache-stable request assembly, covering the static system and per-request context split, the fixed tool list, the rolling conversation breakpoint, which config fields are prompt bytes, and verification. Load when writing or reviewing a commerce agent's prompt assembly, when cache reads are zero, or when a turn's latency or cost is the question.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.