8 673 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 1 239 copies of these same skills sitting in other people's repositories — counted once here, not 1 239 times.
8 673 unique 759 authors 10 updated this month 1 368 from vendors
Bun package manager commands (install, add, remove, update), workspaces, lockfiles, npm/yarn/pnpm migration. Use for dependency management with Bun.
TanStack Start full-stack React framework with Bun runtime. Use for TanStack Router, server functions, vinxi, or encountering SSR, build, preset errors.
Anthropic Claude Agent SDK for autonomous agents and multi-step workflows. Use for subagents, tool orchestration, MCP servers, or encountering CLI not found, context length exceeded errors.
Anthropic Messages API (Claude API) for integrations, streaming, prompt caching, tool use, vision. Use for chatbots, assistants, or encountering rate limits, 429 errors.
Cloudflare Sandboxes SDK for secure code execution in Linux containers at edge. Use for untrusted code, Python/Node.js scripts, AI code interpreters, git operations.
This skill should be used when the user asks to "add turnstile", "implement bot protection", "validate turnstile token", "fix turnstile error", "setup captcha alternative", or encounters error codes 100*/300*/600*, CSP errors, or token validation failures. Provides CAPTCHA-alternative protection for Cloudflare Workers, React, Next.js, and Hono.
Content Collections TypeScript-first build tool for Markdown/MDX content. Use for blogs, docs, content sites with Vite + React, MDX components, type-safe Zod schemas, Contentlayer migration, or encountering TypeScript import errors, path alias issues, collection validation errors. @content-collections/mdx, MDX, markdown, Zod schema validation, type-safe content, frontmatter, compileMDX, defineCollection, defineConfig, Vite plugin, tsconfig paths, .content-collections/generated, MDXContent component, rehype plugins, remark plugins, content schema, document transform, allPosts import, static site generation, blog setup, documentation, Cloudflare Workers static assets, content validation errors, module not found content-collections, path alias not working, MDX type errors, transform function async, collection not updating
Secure dependency upgrades with supply chain protection, cooldowns, and staged rollout. Use when upgrading deps, configuring security policies, or preventing supply chain attacks.
FastMCP Python framework for MCP servers with tools, resources, storage backends (memory/disk/Redis/DynamoDB). Use for Claude tool exposure, OAuth Proxy, cloud deployment, or encountering storage, lifespan, middleware, circular import, async errors.
Google Gemini CLI for second opinions, architectural advice, code reviews, security audits. Leverage 1M+ context for comprehensive codebase analysis via command-line tool.
GitHub repository automation (CI/CD, issue templates, Dependabot, CodeQL). Use for project setup, Actions workflows, security scanning, or encountering YAML syntax, workflow configuration, template structure errors. dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
Google Gemini API with @google/genai SDK. Use for multimodal AI, thinking mode, function calling, or encountering SDK deprecation warnings, context errors, multimodal format errors. multimodal gemini, thinking mode, google ai, genai sdk, function calling gemini, streaming gemini, gemini vision, gemini video, gemini audio, gemini pdf, system instructions, multi-turn chat, deprecated @google/generative-ai, gemini context window, gemini models 2025, gemini 1m tokens, gemini tool use, parallel function calling, compositional function calling
| Design and generate A2UI updateComponents and updateDataModel payloads for three modes (DTO component, non-DTO component, non-DTO page). Use when asked to create or refine A2UI cards, components, or pages from DTO/JSON/business data, generate Python transformer code for DTO-driven components, iterate on existing A2UI output files by diff, improve mobile UI quality, or validate A2UI rules such as surfaceId, root, path binding, and component-vs-page boundaries. Trigger when user mentions "A2UI", "a2ui", "AGenUI", "generate card", "generate page", "UI component", "生成卡片", "生成页面".
Best practices for Remotion - Video creation in React
Portable Codebase Argus agent playbook for evidence-first multi-agent review of GitHub pull requests, CI failures, GitHub Actions logs, GitHub App webhook review, /argus PR comment commands, autofix branch planning, OpenAI/Claude/Gemini/Codex provider tribunals, downstream merge/rebase work, and long-lived fork sync against an upstream repository.
Multi-language security review for web apps, APIs, and CLIs. Use whenever code is added or modified — new endpoints, auth/RBAC changes, template or DOM rendering, outbound HTTP, dependency updates, IaC/config changes, or end-of-feature reviews. Covers Python, JavaScript, TypeScript, Go, Rust, Java/Kotlin, Ruby, C#/.NET, plus shared OWASP Top 10 and ASVS L1 logic. Triggers on phrases like "security review", "review this for security", "audit this code", "is this safe", "AppSec check", "threat-model this change", "supply chain risk", "before I merge", or whenever a senior engineer would pause to ask "what could go wrong here". Pairs with the `security-reviewer` subagent and the session-start / pre-bash / post-edit hooks shipped alongside it.
CTP (Comprehensive Transaction Platform) 6.7.8 API documentation for futures and options trading in China. Use this skill for understanding CTP trading interfaces, market data subscription, order execution, position management, and account queries.
WonderTrader/wtpy 量化交易开发综合指南,整合官方文档、社区笔记与实践案例。涵盖 wtpy Python 框架与 WonderTrader C++ 核心的策略开发、回测、仿真、实盘、数据管理、监控运维全流程。
TianQin SDK (tqsdk) - Python量化交易框架,用于期货/期权/股票交易策略开发、回测与实盘交易
RiceQuant RQData Python API - 米筐金融数据Python接口,用于获取中国A股、港股、期货、期权、基金、债券、宏观经济和另类数据。当使用rqdatac编写量化交易和金融分析Python代码时使用此skill。
Seedance 1.5/1.0 系列视频生成 API 文档(火山方舟平台)。用于通过 API 调用 Seedance 模型实现文生视频、图生视频(首帧/首尾帧/参考图)、有声视频生成等功能,包含完整的请求参数、SDK 示例、提示词技巧和错误码参考。
NautilusTrader developer guide for contributing, building from source, testing, and extending the platform. Use this skill for NautilusTrader development setup, Rust/Python integration, testing practices, and contribution guidelines.
| API reference for CoinMarketCap exchange endpoints including exchange info, volume, market pairs, and assets. Use this skill whenever the user mentions exchange API, asks about exchange volumes, wants trading pair data, needs proof-of-reserves info, or is building exchange integrations. This is the authoritative reference for CMC exchange API questions.
| API reference for CoinMarketCap market-wide endpoints including global metrics, fear/greed, indices, trending topics, and charts. Use this skill whenever the user mentions market API, asks about fear/greed index, wants global metrics or BTC dominance data, needs k-line charts, or is working with market sentiment. This is the complete reference for CMC market-wide API questions.
| API reference for CoinMarketCap DEX endpoints including token lookup, pools, transactions, trending, and security analysis. Use this skill whenever the user mentions DEX API, asks about on-chain token data, wants to look up tokens by contract address, needs security/rug risk checks, or is building DEX integrations. This is the definitive reference for CMC DEX API questions.
>- 数据可视化专家工作流。自动分析数据特征与用户意图,选择最佳图表类型, 应用《数据之美》美学规范,适配前端(D3.js/ECharts/Mapbox/Three.js)、 Python(matplotlib/plotly)或 R(ggplot2)技术栈,确保多图表输出的设计一致性。
This skill provides Python coding standards and is automatically loaded for Python projects. It includes naming conventions, best practices, and recommended tooling.
Gradle build tool standards focusing on Kotlin DSL. Covers project configuration, dependency management, and custom plugin/task development with Gradle 9 LTS.
This skill provides TypeScript coding standards and is automatically loaded for TypeScript projects. It includes naming conventions, best practices, and recommended tooling.
Use when installing or operating Univer CLI for .univer files, spreadsheets, documents, slides, Base databases, Board canvases, cross-Unit embedding, worktrees, Facade authoring, inspection, verification, import/export, screenshots, or viewer handoff.
Use when installing or operating the independent Univer Workspace CLI application (`univer-workspace-cli`) for remote Workspace files, Personal or Team Spaces, task Worktrees, Sheet/Doc/Slide Units, Facade authoring, inspection, verification, import/export, screenshots, or review handoff. Do not use for local targets handled by `univer`.
Proactively apply when creating new features/components/pages or setting up frontend project structure. Triggers on FSD, feature slicing, Feature-Sliced Design, frontend architecture, layer structure, module boundaries, scalable frontend, slice organization, public API, barrel exports, import rules, Steiger. Use when restructuring React/Next.js/Vue/Remix projects, organizing frontend code, fixing import violations, deciding where code belongs (entity vs feature vs widget vs shared), or migrating legacy codebases. Feature-Sliced Design (FSD) architecture for frontend projects.
Proactively apply when creating web applications, Node.js services, or any JavaScript project. Triggers on JavaScript, ES6, ES2020, ES2022, ES2024, ES2025, ES2026, modern JS, refactor legacy, array methods, async/await, optional chaining, nullish coalescing, destructuring, spread, rest, template literals, arrow functions, toSorted, toReversed, at, groupBy, iterator helpers, Set union intersection difference, Promise, Promise.try, RegExp.escape, Array.fromAsync, using await using, Temporal, functional programming. Use when writing new JavaScript code, refactoring legacy code, modernizing codebases, implementing functional patterns, checking which ECMAScript edition or runtime supports a feature, or reviewing JS for performance and readability. Modern JavaScript (ES6-ES2026) patterns and best practices.
Proactively apply when designing APIs, microservices, or scalable backend structure. Triggers on DDD, Clean Architecture, Hexagonal, ports and adapters, entities, value objects, domain events, CQRS, event sourcing, repository pattern, use cases, onion architecture, outbox pattern, aggregate root, anti-corruption layer. Use when working with domain models, aggregates, repositories, or bounded contexts. Clean Architecture + DDD + Hexagonal patterns for backend services, language-agnostic (Go, Rust, Python, TypeScript, Java, C#).
Proactively apply when generating Microsoft Teams Adaptive Card JSON, Bot Framework card attachments, Teams SDK card responses, message extension cards, Microsoft Graph chatMessage Adaptive Card attachments, Incoming Webhook or Workflows webhook Adaptive Cards, notification cards, approval cards, form cards, Action.Submit, Action.Execute, Universal Actions, refresh, user-specific views, card mentions, msteams.entities, msteams.width, Teams responsive card layout, CodeBlock, Table, FactSet, ColumnSet, Input.ChoiceSet, People Picker, or debugging Teams card rendering. Use when constructing, validating, wrapping, or migrating Teams card payloads, including MessageCard-to-Adaptive-Card migrations.
Proactively apply when generating Microsoft Teams message text, Bot Framework activities, Teams SDK bot responses, Microsoft Graph chatMessage bodies, Teams Adaptive Card TextBlock or FactSet text, Workflows webhook messages, legacy connector MessageCard text, mentions, emoji, code blocks, links, date/time text, or escaping user content for Teams. Triggers on Teams markdown, Teams Markdown, Teams HTML, Teams bot textFormat, Teams message formatting, Teams mentions, at-mention tags, msteams.entities, Graph chatMessage, contentType html, Adaptive Card Markdown, TextBlock markdown, FactSet markdown, Workflows webhook, Incoming Webhook, MessageCard, connector card, tag mention, channel mention, Teams code block, Teams emoji, and Teams escaping. Use when writing or debugging any Microsoft Teams text rendering issue.
把文章主题、产品介绍或技术项目编译成新粗野主义(Neubrutalism)风格生图提示词:粗黑边框、硬偏移阴影、扁平撞色块、超大标题字、组件感构图。用户提到新粗野主义、粗野主义风格封面、Neubrutalism、neo-brutalism、Gumroad风格、粗黑边框、硬阴影、反精致设计、组件感封面时使用。先判断三个方向(文章封面/产品视觉/开发者视觉)再编译单条确定性提示词;产品和开发者方向默认提醒优先引用真实案例。
把文字主题、商品照片、包装照片、物品照片或人物服务主题编译成 Plakatstil / Sachplakat 风格提示词。用户提到 Plakatstil、Sachplakat、德国广告海报、物体海报、商品广告海报、复古广告、拍照重绘成广告海报,或要求判断图片像不像 Plakatstil 时使用。先内部选择模块,再输出一条确定性提示词,不展示模块菜单。
Build AI chat interfaces with pre-built shadcn-style components (Message, Conversation, PromptInput, Reasoning, Sources, Tool, Artifact, CodeBlock, Branch, Suggestions, Task, Image, ChainOfThought, InlineCitation, WebPreview, and more). Use when adding AI chat UI to a Next.js + AI SDK app, installing AI Elements components via the CLI (`bun x ai-elements@latest add <name>` or `npx shadcn@latest add @ai-elements/<name>`), composing message displays with markdown, building prompt inputs with attachments, or rendering streaming reasoning and tool output.
| Full-stack AI application generator with Next.js, AI SDK, and ai-elements. Use when creating chatbots, agent dashboards, or custom AI applications. useChat, streamText, ai-elements, build AI app, create chatbot
Vercel AI SDK v6 development. Use when building AI agents, chatbots, tool integrations, streaming apps, or structured output with the ai package. Covers ToolLoopAgent, useChat, generateText, streamText, tool approval, smoothStream, provider tools, MCP integration, and Output patterns.
Answer questions about the AI SDK and help build AI-powered features. Use when developers ask about Vercel AI SDK, generateText, streamText, ToolLoopAgent, useChat, providers, tools, structured output, embeddings, streaming, or adding AI to an app. First identify the installed major version and route version-specific work: use ai-sdk-7 for AI SDK 7 features/migrations such as WorkflowAgent, HarnessAgent, reasoning, runtime/tools context, toolApproval, telemetry, realtime, or v6-to-v7 upgrades; use ai-sdk-6 for v6 code.
Vercel AI SDK v7 development and migration. Use when building or upgrading AI SDK 7 apps, especially ToolLoopAgent, WorkflowAgent, HarnessAgent, Claude Code/Codex/Pi harnesses, runtimeContext, toolsContext, toolApproval, telemetry, reasoning, file or skill uploads, realtime, video generation, or v6-to-v7 breaking changes. For AI SDK v6 code use ai-sdk-6; for version discovery and general doc lookup use ai-sdk.
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). Use when implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, managing 'use cache: private' for compliance scenarios, pass-through/interleaving patterns, GET Route Handler caching, debugging cache issues, and reviewing Cache Component implementations.
Next.js App Router best practices covering file conventions, RSC boundaries, async APIs, data patterns, hydration errors, metadata, route handlers, image/font optimization, and bundling. Use when writing or reviewing Next.js code to prevent hydration errors, RSC violations, data waterfalls, and configuration mistakes.
Creates Next.js frontends with shadcn/ui. Use when building React UIs, components, pages, or applications with shadcn, Tailwind, or modern frontend patterns. Also use when the user asks to create a new Next.js project, add UI components, style pages, or build any web interface — even if they don't mention shadcn explicitly.
Advanced patterns for production Next.js web chatbots built with AI SDK 6 + ai-elements. Covers tool calling with human-in-the-loop (HITL) approval, PostgreSQL session persistence, GDPR consent gating, SQL-first search, per-tool UI rendering, popup widget embedding, message feedback, follow-up suggestions, scope enforcement, and evals. Use when building a customer support bot, conversational interface, or any web chatbot needing tool approval, database sessions, or custom tool output components. Not a scaffolding tool — use `/ai-app` to scaffold from scratch, `/ai-sdk-6` for general SDK questions, `/ai-elements` for chat UI components, `/vercel:chat-sdk` for multi-platform (Slack/Teams/Discord) bots.
Manage Hetzner Cloud infrastructure with the `hcloud` CLI — servers, networks, firewalls, load balancers, volumes, DNS zones, SSH keys, primary/floating IPs, snapshots, certificates, placement groups, storage boxes. Use whenever the user mentions Hetzner, hcloud, VPS provisioning, or Hetzner location codes (fsn1, hel1, nbg1, ash, hil, sin) — even if they don't say "hcloud". CLI-only; does NOT cover Hetzner Robot (dedicated servers, separate product and API).