Development Claude Skills
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 5 243 updated this month 1 369 from vendors
后端架构模式、API设计、数据库优化以及适用于Node.js、Express和Next.js API路由的服务器端最佳实践。
Anthropic Claude API 的 Python 和 TypeScript 使用模式。涵盖 Messages API、流式处理、工具使用、视觉功能、扩展思维、批量处理、提示缓存和 Claude Agent SDK。适用于使用 Claude API 或 Anthropic SDK 构建应用程序的场景。
分析一个陌生的代码库，并生成一个结构化的入门指南，包括架构图、关键入口点、规范和一个起始的CLAUDE.md文件。适用于加入新项目或首次在代码仓库中设置Claude Code时。
适用于TypeScript、JavaScript、React和Node.js开发的通用编码标准、最佳实践和模式。
使用dmux（AI代理的tmux窗格管理器）进行多代理编排。跨Claude Code、Codex、OpenCode及其他工具的并行代理工作流模式。适用于并行运行多个代理会话或协调多代理开发工作流时。
通过 Context7 MCP 使用最新的库和框架文档，而非训练数据。当用户提出设置问题、API参考、代码示例或命名框架（例如 React、Next.js、Prisma）时激活。
克劳德代码会话的正式评估框架，实施评估驱动开发（EDD）原则
React、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。
用于构建健壮、高效且可维护的Go应用程序的惯用Go模式、最佳实践和约定。
使用Node/TypeScript SDK构建MCP服务器——工具、资源、提示、Zod验证、stdio与可流式HTTP对比。使用Context7或官方MCP文档获取最新API信息。
Next.js 16+ 和 Turbopack — 增量打包、文件系统缓存、开发速度，以及何时使用 Turbopack 与 webpack。
Pythonic 惯用法、PEP 8 标准、类型提示以及构建稳健、高效且可维护的 Python 应用程序的最佳实践。
地道的Rust模式、所有权、错误处理、特质、并发，以及构建安全、高性能应用程序的最佳实践。
X/Twitter API集成，用于发布推文、线程、读取时间线、搜索和分析。涵盖OAuth认证模式、速率限制和平台原生内容发布。当用户希望以编程方式与X交互时使用。
Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns.
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
Capture architectural decisions made during Claude Code sessions as structured ADRs. Auto-detects decision moments, records context, alternatives considered, and rationale. Maintains an ADR log so future developers understand why the codebase is shaped the way it is.
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Bun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.
Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.
Orchestrate multi-agent coding tasks via Claude DevFleet — plan projects, dispatch parallel agents in isolated worktrees, monitor progress, and read structured reports.
Analyze an unfamiliar codebase and generate a structured onboarding guide with architecture map, key entry points, conventions, and a starter CLAUDE.md. Use when joining a new project or setting up Claude Code for the first time in a repo.
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
Operate and extend NanoClaw v2, ECC's zero-dependency session-aware REPL built on claude -p.
Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.
Spring Security best practices for authn/authz, validation, CSRF, secrets, headers, rate limiting, and dependency security in Java Spring Boot services.
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
Bootstrap a GitHub repository for Git-Ape CI/CD: Entra app registration, OIDC federated credentials, RBAC role assignments, GitHub environments (azure-deploy/azure-destroy), required secrets, and scaffold Actions workflow files — plus enterprise-wide distribution via a `.github-private` repo (managed-settings.json plugin standards + custom agents). USE FOR: first-time Git-Ape setup, new subscription onboarding, multi-environment (dev/staging/prod) setup, configure OIDC, federated credentials, RBAC setup, GitHub environments, scaffold workflow files, rolling Git-Ape out org/enterprise-wide. DO NOT USE FOR: deploying resources (use git-ape), drift detection alone, secret rotation.
Tear down a Git-Ape deployment by ID. Reads `state.json` under `.azure/deployments/<id>/` to delete the Azure Deployment Stack and purge soft-deleted Key Vault / Cognitive Services. Refuses to run without `state.json`. Use for any local CLI or VS Code Git-Ape teardown so the result matches the CI destroy workflow.
Validate Git-Ape CLI tool installation (az, gh, jq, git), versions, and auth sessions. Shows platform-specific install commands for anything missing. USE FOR: check Git-Ape prerequisites, what do I need to install for Git-Ape, verify Git-Ape CLI tools, az: command not found, gh: command not found, jq: command not found, git: command not found, az missing, gh missing, jq missing, git missing, fresh machine setup for Git-Ape, dev container setup for Git-Ape, before running git-ape-onboarding, az login required, gh auth login, auth expired, not logged in, outdated az version, minimum az version, upgrade az. DO NOT USE FOR: Anything else. This skill is narrowly scoped to prerequisites checks for Git-Ape's CLI tools and auth sessions. Do not use it for any other purpose.
Classify BIM elements using AI and standard classification systems. Map elements to UniFormat, MasterFormat, OmniClass, and CWICR codes.
Convert AutoCAD DWG files (1983-2026) to Excel databases using DwgExporter CLI. Extract layers, blocks, attributes, and geometry data without Autodesk licenses.
Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.
Find substitute materials using CWICR data. Identify equivalent alternatives based on function, cost, and availability.
Match BIM quantities to CWICR work items. Map element categories to cost codes, validate quantities, and generate cost-linked QTOs.
Perform value engineering analysis using CWICR data. Identify cost-saving alternatives while maintaining function and quality.
Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.
Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.
Fetch construction material prices from open APIs. Track price trends, regional variations, and update cost databases.
Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data from documents, and create automated pipelines without deep programming knowledge.
Build validation rules for construction data. Create RegEx and logic-based validation for BIM elements, cost codes, and schedule data.