发现 tools llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Enables autonomous context management for codebases through claude.md files. Use when creating, maintaining, or synchronizing AI agent context. Provides tools and workflows for monitoring context health, detect...
Externalize detailed memory to Memory Bank before conversation summarization to prevent context loss. Triggers: CP, checkpoint, save, 存檔, 記一下, 保存, sync memory, dump, 先記著, 等一下, 要離開, 暫停, pause,...
Build production-ready MCP clients in TypeScript or Python. Handles connection lifecycle, transport abstraction, tool orchestration, security, and error handling. Use for integrating LLM applications with MCP s...
Use when user asks to build a feature, implement something new, or make significant code changes. Recognizes requests like "build", "implement", "create a new feature", "add functionality", "develop", "I need t...
INVOKE for debugging and step-by-step problem solving. Produces visible reasoning trace with each step shown. Use when tracing logic, explaining reasoning, or debugging issues. Triggers: debugging, tracing exec...
Create detailed implementation plans through interactive research. Use when in plan mode or when creating technical specifications.
INVOKE for calculations and data processing. Produces executable code instead of mental math. Use when precision matters or numbers are complex. Triggers: calculations, numerical analysis, data transformations,...
INVOKE for verification and high-stakes decisions. Produces multiple independent reasoning paths with consensus check. Use before finalizing critical work. Triggers: verification, double-checking, validating ap...
INVOKE for research tasks and multi-source understanding. Produces visible dependency graphs and contracted answers. Use during research phase of workflow. Triggers: researching topics, gathering information be...
INVOKE when multiple approaches exist and exploration is valuable. Produces visible branching with evaluation and recommendation. Use before implementation when comparing options. Triggers: comparing approaches...
Message formatting conventions and channel routing for agent-chat coordination
Complete project generation pipeline with Task tool multi-agent orchestration. Requirements -> Design -> Tasks -> Project -> Implementation.
AIDA - Multi-agent project generation with auto-init and full pipeline execution. Generate a complete project using multi-agent orchestration with TDD and quality gates. Enforces strict quality requirements via...
Generate structured requirements from natural language. No API key required - uses Claude Code OAuth.
AIDA pipeline orchestration with Task tool multi-agent delegation. Manages 5-phase workflow with Leader/Player subagents.
Show AI design patterns project health, track completion status, coordinate agent activities, and suggest intelligent next priority actions
Guide through updating AI design patterns with comprehensive checklist completion, code examples, images, documentation, and interactive demos
Generate project-level AGENTS.md guides that capture conventions, workflows, and required follow-up tasks. Use when a repository needs clear agent onboarding covering structure, tooling, testing, task flow, REA...
Generate complete, production-ready MCP (Model Context Protocol) servers with automatic setup, configuration, and Claude Code integration
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications.
Create useful, informative summaries of technologies or concepts that are readable in depth and have a digestable summary at the top.
Build custom slash commands in Claude Code with YAML frontmatter, permissions, and best practices. Use when creating automation workflows, project-specific commands, or standardizing repetitive tasks.
Build event-driven hooks in Claude Code for validation, setup, and automation. Use when you need to validate inputs, check environment state, or automate tasks at specific lifecycle events.
Review AI prompts and instructions for conciseness and clarity. Use when reviewing skills, CLAUDE.md, slash commands, or any LLM prompt content.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。