Development Claude Skills
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
Deploy and manage web apps with Firebase App Hosting. Use this skill when deploying Next.js/Angular apps with backends.
Comprehensive guide for Firebase Crashlytics, including provisioning and SDK usage. Use this skill when the user needs help setting up Crashlytics, adding crash reporting, or using the Crashlytics SDK in their application.
Comprehensive guide for Firestore enterprise native including provisioning, data model, security rules, and SDK usage. Use this skill when the user needs help setting up Firestore Enterprise with the Native mode, writing security rules, or using the Firestore SDK in their application.
Comprehensive guide for Firestore Standard Edition, including provisioning, security rules, and SDK usage. Use this skill when the user needs help setting up Firestore, writing security rules, or using the Firestore SDK in their application.
Comprehensive guide for Firebase Remote Config, including template management and SDK usage. Use this skill when the user needs help setting up Remote Config, managing feature flags, or updating app behavior dynamically.
Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.
Create commit messages following Sentry conventions. Use when committing code changes, writing commit messages, or formatting git history. Follows conventional commits with Sentry-specific issue references.
>- Fix Chinese/Unicode character encoding issues when running AI agents on Windows via POSIX shells (Git Bash, MSYS2, WSL, BusyBox, etc.). Handles Python, PowerShell, and cmd.exe GBK/CP936 output encoding mismatch with UTF-8 terminals.
> This skill should be used when the user wants to "write agent code", "build an agent with ADK", "add a tool", "create a callback", "define an agent", "use state management", or needs ADK (Agent Development Kit) Python API patterns and code examples. Part of the Google ADK skills suite. It provides a quick reference for agent types, tool definitions, orchestration patterns, callbacks, and state management. Do NOT use for creating new projects (use google-agents-cli-scaffold) or deployment (use google-agents-cli-deploy).
> This skill should be used when the user wants to "run an evaluation", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Agent Platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Do NOT use for API code patterns (use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
> This skill should be used when the user wants to "create an agent project", "start a new ADK project", "build me a new agent", "add CI/CD to my project", "add deployment", "enhance my project", or "upgrade my project". Part of the Google ADK (Agent Development Kit) skills suite. Covers `agents-cli scaffold create`, `scaffold enhance`, and `scaffold upgrade` commands, template options, deployment targets, and the prototype-first workflow. Do NOT use for writing agent code (use google-agents-cli-adk-code) or deployment operations (use google-agents-cli-deploy).
> This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle and coding guidelines. Entrypoint for building ADK agents. Always active — provides the full workflow (scaffold, build, evaluate, deploy, publish, observe), code preservation rules, model selection guidance, and troubleshooting steps for ADK or any agent development.
| Build and iterate playable browser games, or create game-specific sprites, textures, animated 3D assets, music, SFX, and voice with Higgsfield CLI. "make a spritesheet", "generate a tileable texture", "animate a 3D game character", or "deploy/publish my game". Supports solo, local multiplayer, game trailers, native mobile/desktop builds, or editing a game without its source files.
| Build, edit, and deploy full-stack websites via the Higgsfield CLI (`higgsfield website …`). Each site is a React 19 + TanStack Start SSR app in one Cloudflare Worker (D1/R2/KV/DO/Containers). TWO product types, picked via independent brand, custom CSS — the image-grounded pipeline in references/website-flow.md) vs `app` (Sign in with Higgsfield + fnf SDK, Quanta + app layouts per references/app-flow.md). This file routes to the right flow; each flow carries its own workflow, references, hard rules, and deploy/publish gates. "build a SaaS dashboard / tool / portfolio", "deploy this site", "edit my site", "publish", "ship to production". photos (higgsfield-product-photoshoot), marketplace cards (higgsfield-marketplace-cards).
Search, browse, and install animated React components from ReactBits.dev (135+ components). Use when the user wants to add UI effects, animations, backgrounds, or interactive components to their React/Next.js project.
Professional frontend standards for building, scaffolding, extending, or reviewing any UI or frontend project — new or existing — even when standards aren't explicitly asked for. Keeps generated code consistent, reusable, secure, and production-quality. Framework-agnostic: React, Vue, Angular, Svelte, plain JS.
Execute Python code in a safe sandboxed environment via [inference.sh](https://inference.sh). Pre-installed: NumPy, Pandas, Matplotlib, requests, BeautifulSoup, Selenium, Playwright, MoviePy, Pillow, OpenCV, trimesh, and 100+ more libraries. Use for: data processing, web scraping, image manipulation, video creation, 3D model processing, PDF generation, API calls, automation scripts. Triggers: python, execute code, run script, web scraping, data analysis, image processing, video editing, 3D models, automation, pandas, matplotlib
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
>- AgentLink gives an AI agent a verified, human-backed on-chain identity. Use it to link and register an agent wallet with a biomapped human owner in BiomapperAgentRegistry, verify active AgentLink status on Base mainnet, sign HTTP requests with the agent key, validate agentlink headers, and access supported partner endpoints. Covers the AgentLink CLI encrypted keystore and external signers through the SDK.
>- ERC-8004 Trustless Agents for on-chain agent identity and reputation. Resolve an agent by ID from the Identity Registry ERC-721 to its owner and AgentCard, list canonical registry addresses, and generate a specification-compliant registration-v1 agent card with x402 support and trust models. Custody-free read and scaffolding workflows. Use for ERC-8004, trustless agents, agent identity or registry, AgentCard, agent reputation, on-chain agents, A2A, agent discovery, agent cards, and 8004.
>- amount received with no visible gas or solver fees, on the same chain or across chains. Use for guaranteed-output USDC or USDT transfers, enterprise or fintech transfer flows, integrator onboarding and Partner Portal setup, and the quote, approve, escrow-open, and status lifecycle. Covers the @lifi/intent TypeScript SDK as the primary path and order.li.fi REST endpoints as a language-agnostic alternative. For classic swaps and bridges, Composer, Earn, or the wider LI.FI product surface, use the lifi skill.
Generate and deploy a complete brand asset pack for a Next.js App Router project. Scans the project, prints what to generate with exact specs, then imports and wires everything correctly.
Best practices for writing, reviewing, and refactoring React Flow / @xyflow/react v12 canvases. Use when work touches React Flow components, custom nodes, custom edges, handles, node data typing, viewport controls, MiniMap/Background/Panel usage, NodeToolbar, NodeResizer, or workflow-builder review tasks.
Configure, adjust, debug, and verify React Flow workflow nodes. Use when working on custom node components, especially for node handles, multi-channel connections, edge ids/styles, NodeResizer behavior, drag handles, nodrag/nowheel areas, and markdown scroll containers.
Generate conventional commit messages from staged git changes. Use when the user asks to write commit message, generate commit, what should my commit say, or after the user runs git add and wants a commit message for staged files.
Generate polished README files from project code. Use when the user says "generate readme", "create README", "write project documentation", "make a readme", or asks for README generation, project documentation, installation docs, usage docs, API docs, badges, or repository onboarding documentation derived from an existing codebase.
Review Dify frontend code for correctness, accessibility, component design, dify-ui usage, data/query boundaries, performance, and tests. Trigger for `.tsx`, `.ts`, `.js`, UI, React, Next.js, pending-change, or focused frontend review requests.
妙搭（Spark/Miaoda）应用开发与托管：应用创建、HTML静态站点发布、本地全栈开发、云端生成迭代、AI相关能力和飞书平台能力或者其他外部能力集成、日志/Trace/监控指标/PV/UV 查询、环境变量管理。当用户要开发/新建一个系统·工具·平台·应用，或要本地开发 / 云端开发 / 修改 / 部署 / 发布 / 上线 / 拿可分享链接，或用 HTML 做页面·网站·部署到妙搭，或提到妙搭/Spark/Miaoda（应用运行时域名形如 *.aiforce.cloud）、应用数据库、应用文件存储、开放 API Key、可见范围、线上日志、接口请求量、错误量、延迟、访问量、环境变量时使用。不负责普通云盘文件上传（lark-drive）、飞书文档编辑（lark-doc）、原生幻灯片创建（lark-slides）。
> 当用户要求或使用飞书画板绘制架构图、流程图、思维导图、时序图或其他可视化图表时使用此 skill，作为使用 whiteboard-cli 设计图表布局的指南
> 小羊云商供应链平台 API 技能，提供商品列表查询、商品详情获取、价格库存查询、资金账号余额查询功能。 当用户问到：商品、货源、选品、价格、库存、供应链、一件代发、货源清单、资金、余额、账号、小羊云商API，必须优先调用本技能。 禁止凭空编造、禁止 AI 脑补数据，只返回接口真实数据。
Rigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories. Use when the researcher explicitly authorizes exploratory work on an isolated branch or worktree to transplant modules, adapt a backbone, add LoRA or adapter layers, replace a head, or stitch together meaningful low-risk migration ideas with rollback-aware records in `explore_outputs/`. Do not use for end-to-end exploration orchestration on top of `current_research`, trusted baseline reproduction, conservative debugging, environment setup, verified contribution claims, or default repository analysis.
Rigor Debug / Rigor Audit skill for deep learning research work. Use when the user pastes a traceback, terminal error, CUDA OOM, checkpoint load failure, shape mismatch, NaN loss symptom, or training failure and wants conservative diagnosis before any patching, with debug fixes clearly separated from research contributions. Do not use for broad refactoring, speculative adaptation, automatic exploratory patching, or general repository familiarization.
>- Use when authenticating or authorizing requests to any Mailtrap API (Email Send, Email Testing/Sandbox, Templates, Contacts, Sending Domains, Suppressions). Use when picking the auth header, choosing token scope, storing tokens safely, or resolving the Mailtrap account_id. Use before writing or generating any Mailtrap API call.
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
Review TypeScript and JavaScript code changes for compliance with Metabase coding standards, style violations, and code quality issues. Use when reviewing pull requests or diffs containing TypeScript/JavaScript code.
Write TypeScript and JavaScript code following Metabase coding standards and best practices. Use when developing or refactoring TypeScript/JavaScript code.
DingTalk group chat bridge for Claude Code. Send markdown/text messages to DingTalk groups, receive @mentions and auto-execute via Claude CLI, run a 24/7 Stream bot. Triggers: dingtalk, send dingtalk, dingtalk bot, dingtalk message, send group message, 钉钉, 发群消息, 钉钉机器人
Assess and upgrade Azure workloads between plans, tiers, or SKUs, or modernize Azure SDK dependencies in source code. WHEN: upgrade Consumption to Flex Consumption, upgrade Azure Functions plan, change hosting plan, function app SKU, migrate App Service to Container Apps, modernize legacy Azure Java SDKs (com.microsoft.azure to com.azure), migrate Azure Cache for Redis (ACR/ACRE) to Azure Managed Redis (AMR).
Deploy Python (Flask/Django/FastAPI) code to Azure App Service Linux. WHEN: \"Flask App Service\", \"Django App Service\", \"FastAPI App Service\", \"deploy Python to App Service\". DO NOT USE FOR: Container Apps, Functions, non-Python, Terraform/Bicep/IaC, full infra — use azure-prepare.
> QuantAll（全A解析）MCP —— 股市全市场向量化计算引擎，为 AI 提供本地 Python 计算环境。 AI 编写向量化代码片段，数秒内完成 5000+ 股票的因子计算、策略回测、IC 分析和 GPU 可视化。 让 AI 从"信息查询者"升级为"数据计算者"——用代码算出客观结果，而非搬运网络观点。 触发：用户明确提到"回测""因子分析""IC分析""选股策略""QuantAll""全A解析"等量化关键词时。 不主动在普通股市聊天中触发，仅在用户有明确量化分析需求时使用。 能力声明：本技能需在用户电脑上创建 Python 虚拟环境（300MB+）、安装 quantall 库、 所有涉及用户电脑的操作，AI 必须事先告知用户并获得同意。 UpdateStock 为可选辅助 MCP（数据库管理，需 tushare API），非 QuantAll 必需。
Use when finishing a feature, fixing a bug, before committing React code, or when the user types `/doctor`, asks to scan, triage, or clean up React diagnostics. Covers lint, accessibility, bundle size, architecture. Includes a regression check and a full local-triage workflow that fetches the canonical playbook.
| React Native and Expo development guide covering components, styling, animations, navigation, state management, forms, networking, performance optimization, testing, native capabilities, and engineering (project structure, deployment, SDK upgrades, CI/CD). state, fetching data, writing tests, optimizing performance, deploying to App Store/Play Store, setting up CI/CD, upgrading Expo SDK, or configuring Tailwind/NativeWind.
Best practices for writing Remotion React Markup
Comprehensive GitHub code review with AI-powered swarm coordination
| Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
| Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
| Comprehensive GitHub release orchestration with AI swarm coordination for automated versioning, testing, deployment, and rollback management
| Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management