🧰Developer Tools Skills
Browse the best Developer Tools skills for Claude Code, Codex, Cursor and other AI agents.
7,129 skills · Page 2 of 298
mcp-builder
★ 3LLMが外部サービスと対話するための適切に設計されたツールを通じて、高品質なMCP (Model Context Protocol) サーバーを作成するためのガイド。Python (FastMCP)、Node/TypeScript (MCP SDK)、Rust (Tokio)で、外部APIやサービスを統合するMCPサーバーを構築する際に使用します。
git-master
★ 3Complete Git expertise system for ALL git operations. PROACTIVELY activate for: (1) ANY Git task (basic/advanced/dangerous), (2) Repository management, (3) Branch strategies and workflows, (4) Conflict resolution, (5) History rewriting/recovery, (6) Platform-specific operations (GitHub/Azure DevOps/Bitbucket), (7) Advanced commands (rebase/cherry-pick/filter-repo). Provides: complete Git command reference, safety guardrails for destructive operations, platform best practices, workflow strategies, reflog recovery techniques, and expert guidance for even the most risky operations. Always asks user preference for automatic commits vs manual control.
bash-master
★ 3Expert bash/shell scripting system across ALL platforms. PROACTIVELY activate for: (1) ANY bash/shell script task, (2) System automation, (3) DevOps/CI/CD scripts, (4) Build/deployment automation, (5) Script review/debugging, (6) Converting commands to scripts. Provides: Google Shell Style Guide compliance, ShellCheck validation, cross-platform compatibility (Linux/macOS/Windows/containers), POSIX compliance, security hardening, error handling, performance optimization, testing with BATS, and production-ready patterns. Ensures professional-grade, secure, portable scripts every time.
ai-llm-development
★ 2MANDATORY invocation for ALL LLM-related work. Invoke immediately when:- ANY mention of model names, IDs, or versions- ANY configuration of AI providers or APIs- ANY defaults/constants for LLM settings- ANY prompt engineering or modification- ANY discussion of model capabilities or features- ANY changes to AI-related dependencies- Reading/writing .env files with AI config- Modifying aiProviders.ts, prompts.ts, or similar- Reviewing AI-related pull requests- Debugging LLM integration issuesCRITICAL: Training data lags reality by months. ALWAYS research first.Use WebSearch, Exa MCP, or Gemini CLI before making ANY LLM decisions.
skill-manager
★ 1Create, validate, install, convert, port, and manage Claude Code skills. Use when users want to create a new skill, validate existing skills, install from GitHub, list skills, convert MCP servers to skills, or port skills between Claude and Gemini platforms. Covers the full skill lifecycle from creation to cross-platform distribution.
canvas
★ 1Render interactive React UIs in a browser window using file operations.Use when users ask to: show forms, render charts/graphs, create dashboards,display data tables, build visual interfaces, or show any UI component.Trigger phrases: "show me", "render", "display", "create a form/chart/table/dashboard".
uv
★ 1Python package manager and project tooling using uv. Use when working with Python projects, managing dependencies, creating virtual environments, running Python scripts, configuring workspaces/monorepos, or troubleshooting uv issues. Triggers on pyproject.toml projects, uv commands, pip replacement workflows, Python version management, workspace configuration, or CI/CD Python setup.
mcp-builder
★ 1Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
using-live-documentation
★ 1Use BEFORE implementing, writing, configuring, or setting up ANY feature involving libraries, frameworks, or complex APIs - even before reading existing code. Fetches current documentation to ensure correct usage. Triggers on third-party libraries (such as react-query, FastAPI, Django, pytest), complex standard library modules (such as subprocess, streams, pathlib, logging), and "how to" questions about library usage. Do NOT use for trivial built-ins (such as dict.get, Array.map) or pure algorithms. Load this skill first to receive guidance on finding current documentation when implementing features, exploring code, or answering library-related questions.
mcp
★ 1MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
sdlc
★ 1MUST BE LOADED for any coding task: implementing features, fixing bugs, writing code, refactoring, or making changes. This skill provides the mandatory step-by-step workflow for orchestrating the complete software development lifecycle using specialized agents. Load this skill when the user asks to 'add', 'create', 'build', 'fix', 'update', 'change', 'implement', or 'refactor' anything.
claude-typescript-sdk
Build AI applications with the Anthropic TypeScript SDK. Use when creating Claude integrations, building agents, implementing tool use, streaming responses, or working with the @anthropic-ai/sdk package.
codex
Codex CLI 호출 스킬.트리거: "codex로", "codex 써서", "codex한테"
uv-python-manager
Comprehensive guide for using uv, an extremely fast Python package and project manager written in Rust. Use when working with Python projects for (1) Installing and managing Python packages, (2) Creating and managing virtual environments, (3) Installing and switching between Python versions, (4) Running Python scripts with dependency management, (5) Managing Python projects with lockfiles, (6) Replacing pip, pip-tools, pipx, poetry, pyenv, virtualenv workflows, or any Python package management tasks.
core-workflow
Detailed development workflow patterns, checklists, and standards. Auto-loads for complex tasks, planning, debugging, testing, or when explicit patterns are needed. Contains session protocols, git conventions, security checklists, testing strategy, and communication standards.
git-master
MUST USE for ANY git operations. Atomic commits, rebase/squash, history search (blame, bisect, log -S). STRONGLY RECOMMENDED: Use with sisyphus_task(category='quick', skills=['git-master'], ...) to save context. Triggers: 'commit', 'rebase', 'squash', 'who wrote', 'when was X added', 'find the commit that'.
developing-mcp-servers
Creates Model Context Protocol servers with tools, resources, and prompts for AI assistant integration. Use when extending Claude with custom capabilities, building AI tool integrations, or exposing APIs to AI assistants.
meta-skill
Creates new skills for unfamiliar technologies. Use when needing to create a skill, add support for unknown frameworks, or extend capabilities for new tech. Researches documentation and delegates to skill-creator for scaffolding.
mcp-integration-toolkit
Create, configure, and integrate MCP (Model Context Protocol) servers and clients. Use when building MCP servers with FastMCP (Python) or MCP SDK (Node/TypeScript), integrating external APIs, or creating custom tools/resources for LLMs. Handles server creation, client configuration, transport protocols, and security patterns.
backend-uv-manager
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python backend project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
e2b-sandbox
Execute AI-generated code in secure isolated E2B cloud sandboxes with advanced monitoring, MCP gateway integration (200+ tools), and multi-language support. Use for running Python/JavaScript/TypeScript/Bash code, managing sandbox lifecycle (create, pause, resume, kill, list, connect), monitoring metrics (CPU, memory, disk), handling lifecycle events, uploading/downloading files, streaming command output, environment variable management, and integrating LLMs with code execution capabilities.
fastmcp
Use this skill when building MCP (Model Context Protocol) servers with FastMCP in Python. FastMCP is a framework for creating servers that expose tools, resources, and prompts to LLMs like Claude. The skill covers server creation, tool/resource definitions, storage backends (memory/disk/Redis/DynamoDB), server lifespans, middleware system (8 built-in types), server composition (import/mount), OAuth Proxy, authentication patterns, icons, OpenAPI integration, client configuration, cloud deployment (FastMCP Cloud), error handling, and production patterns. It prevents 25+ common errors including storage misconfiguration, lifespan issues, middleware order errors, circular imports, module-level server issues, async/await confusion, OAuth security vulnerabilities, and cloud deployment failures. Includes templates for basic servers, storage backends, middleware, server composition, OAuth proxy, API integrations, testing, and self-contained production architectures.Keywords: FastMCP, MCP server Python, Model Context
zod-v4
TypeScript-first schema validation library with static type inference and runtime validation
tanstack-query-v5
Powerful data fetching and state management library for React applications with server state synchronization, caching, and background updates.