8 676 development skills from 759 authors. They write and change code. Half of them fit into 1 830 tokens or less — that is what one costs your context window when the agent loads it. 1 213 ship runnable scripts rather than instructions alone. 42 of them cannot work without an MCP server, most often rube. We also found 1 172 copies of these same skills sitting in other people's repositories — counted once here, not 1 172 times.
8 676 unique 759 authors 5 252 updated this month 1 369 from vendors
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Deep analysis of Git history: identify frequently changed hotspot files, analyze code ownership by contributor, and scan for leaked secrets. Triggered when users ask about Git analysis, code hotspots, who owns what code, secret scanning, security audits of commit history, or optimizing code review assignments.
Generates RESTful API documentation (OpenAPI 3.0 / Swagger spec) by scanning route definitions in code for Flask, FastAPI, Express, Gin, and other frameworks. Trigger when users ask about API documentation, OpenAPI, Swagger, endpoint docs, generating docs from code, or extracting endpoints.
Use when building TypeScript applications requiring advanced type systems, generics, or full-stack type safety. Invoke for type guards, utility types, tRPC integration, monorepo setup.
Run the deferred AgentOS E2E smoke test from public npm packages. Use when the user asks to sanity check, smoke test, or verify a release works.
Audit AgentOS ACP feature coverage across the stable ACP v1 specification, each underlying agent harness and control interface, its upstream ACP adapter, and AgentOS public API/types. Use for ACP upgrades, adapter parity checks, or missing-feature audits.
Cut an AgentOS release-preview. Use when the user asks for a preview, release-preview, or a branch dist-tag build.
Compare GigaCode's OpenCode-compatible HTTP/SSE API with native OpenCode in isolated temporary workspaces. Use when asked to sanity-check, re-test, or manually validate Claude Sonnet streaming, multi-turn sessions, tool calls, permissions, file edits, cancellation, or post-cancel reuse.
Convert a GraphQL endpoint, OpenAPI spec, or MCP server into bash CLI commands and a `tools.*` JS API runnable inside `just-bash`'s `js-exec` sandbox. Use when the user wants to expose a remote API to a sandboxed bash agent, build a tool-calling agent on top of just-bash, or generate CLI commands from an existing API spec.
Turn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's `/ai-clipping` endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe, and vertical face-tracking auto-crop server-side. No local Whisper, no local LLM, no GPU.
| Automatically trace Claude Code conversations to Braintrust for observability. Captures sessions, conversation turns, and tool calls as hierarchical traces.
Guide for integrating Agentica SDK with Claude Code CLI proxy
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
Semantic search across codebase using LEANN vector index
AST-based code search and refactoring via ast-grep MCP
Claude Code CLI commands, flags, headless mode, and automation patterns
Find unused functions and dead code in the codebase
Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.
Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)
Meta-skill workflow orchestrator for bug investigation and resolution. Routes to debug, implement, test, and commit based on scope.
Git Commit Rules
Search GitHub code, repositories, issues, and PRs via MCP
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
Problem-solving strategies for analytic functions in complex analysis
Modular Code Organization
Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)
Fast codebase search via WarpGrep (20x faster than grep)
Search library documentation and code examples via Nia
Analyze brownfield codebase and create initial continuity ledger
Code quality checks, formatting, and metrics via qlty CLI
Check reference SDK implementations using btca ask
Analyze repository structure, patterns, conventions, and documentation for understanding a new codebase
Use RepoPrompt CLI for token-efficient codebase exploration
External research workflow for docs, web, APIs - NOT codebase exploration
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.
Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), native audio features, function calling, session management, ephemeral tokens for client-side auth, live translation, and all Live API configuration options. SDKs covered - google-genai (Python), @google/genai (JavaScript/TypeScript).
Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.
Use when a PinMe project (Worker TypeScript) needs to integrate user authentication — creating email/password users, verifying id_tokens, querying user info, or listing users via Identity Platform auth proxy APIs.
Use this skill when a PinMe project (Worker TypeScript) needs to integrate email sending (send_email). Guides AI to generate correct Worker TS code.
Use this skill when a PinMe project (Worker TypeScript) needs to call OpenRouter-backed LLM APIs, including models, chat/completions, streaming, or OpenRouter web search. Guides AI to generate correct Worker TS code.
Use when generating, modifying, or reviewing PinMe Worker (Cloudflare Worker TypeScript) code that accepts payments through UniwebPay — payment links, products/prices, checkout sessions, payment status reads, refunds, subscriptions, or handling UniwebPay webhooks with @uniwebpay/sdk in a PinMe project.
Extract an Allium specification from an existing codebase. Use when the user has existing code and wants to distil behaviour into a spec, reverse engineer a specification from implementation, generate a spec from code, turn implementation into a behavioural specification, or document what a codebase does in Allium terms.
Create a new Python invoke task for the dda CLI
Create a new RuntimeSetting that can be changed at runtime via `agent config set/get` and the config API
Create a new Go module in the agent repository
Analyze static quality gate on-disk size changes, correlate with Confluence exception records and GitHub PRs by milestone