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。
Provides industry-proven design patterns for effective AI agents based on production systems like Claude Code, Manus, and Cursor. Use when designing agent architectures, optimizing context management, or implem...
Provides comprehensive MCP integration guidance for Claude Code plugins. MUST Use when integrating databases via MCP, setting up MCP servers, or configuring connections. Do not use for API integration, web serv...
Operational manual for driving the Claude runtime. Use when needing to optimize context usage, troubleshoot performance, or understand runtime mechanics. Do not use for architectural definitions or building plu...
Comprehensive guide for creating, configuring, and using Claude Code hooks. MUST Use when creating hooks, implementing PreToolUse/PostToolUse/Stop hooks, or configuring event-driven automation. Do not use for g...
General-purpose guidance for Claude Code (terminal) and Claude Dev (platform). Covers stable principles (progressive disclosure, hooks, security) and volatile details with lookup workflows.
Implements progression from Vector RAG → GraphRAG → Temporal Knowledge Graphs. Use when designing persistent memory architectures for AI agent systems.
Provides System Authority on 2026 Universal Agentic Runtime standards for all plugin components. MUST Use when auditing or managing plugin components (Skills, Commands, Agents). Do not use for creating new comp...
MUST USE when searching for official Claude Code or Anthropic platform documentation links (MCP, hooks, skills, CLI). Provides fast fuzzy-search CLI for authoritative Claude documentation.
Applies structured mental models to solve complex problems. Use when solving architectural decisions, root cause analysis, or strategic planning.
Applies 2026 Complexity-Based Guidance standards with Attention Management, Sycophancy Prevention, and XML/Markdown decision matrix. Provides theory, patterns, and quality evaluation criteria for AI prompt desi...
Provides unified interface for all context engineering patterns. Use when optimizing AI agent context: compression, degradation detection, KV-cache optimization, or session management.
Defines behavioral standards for autonomous agents and enforces Uninterrupted Flow, Self-Verification, Auth-Gates, and Handoff protocols. PROACTIVELY Use when defining behavioral standards for autonomous agents...
Automatically determines the optimal research tool based on query type and available information. Use when answering technical questions requiring external verification, documentation lookup, or library/repo re...
Creates optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce structured outputs for other prompts to consume, or when running mu...
コーディング用プロンプトを最適化・添削するスキル。 以下の状況で使用: (1) ユーザーが「このプロンプトを改善して」「プロンプトを最適化して」と依頼した時 (2) ユーザーが明示的に「/coding-prompt-optimizer」を実行した...
AIコーディング支援ツールのコンテキストファイル（CLAUDE.md等）を最適化するスキル。 以下の状況で使用: (1) ユーザーが「CLAUDE.mdを改善して」「コンテキストファイルを最適化して」と依頼した時 (2) ユーザーが明示的に「...
Use when starting any conversation - establishes how to find and use skills
A simple hello world skill that demonstrates how to create a basic Claude Code skill. Use when the user asks to say hello or test a basic skill.
Sync AI coding sessions from 14 tools (Claude Code, Codex, Cursor, Aider, Cline, Gemini CLI, Continue, Copilot, Roo Code, Windsurf, Zed AI, Amp, OpenCode, OpenRouter) to Obsidian vault as markdown notes. Use wh...
Comprehensive guide to building multi-agent systems, agent collaboration patterns, and orchestration strategies (2025-2026 standards)
Portable tmux-based workflow to drive one or multiple long-running Codex CLI “workers” from another process (e.g. Claude CLI) by (1) starting/reusing a tmux session running `codex`, (2) injecting prompts into t...
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Expert for creating and managing Claude Code Agent Skills. Create skills with git submodule + sparse-checkout for source references, write SKILL.md with proper frontmatter, and follow best practices. Use when c...
State-aware cognitive reasoning engine combining pattern detection, critical questioning, ontology validation, and gap analysis through InfraNodus integration. Uses programmatic Python modules for algorithmic p...
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。