querying-documentation
Spawns a focused subagent to query language/framework documentation. Use for complex questions requiring exploration across multiple symbols, external library APIs, or understanding how to combine types from di...
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Spawns a focused subagent to query language/framework documentation. Use for complex questions requiring exploration across multiple symbols, external library APIs, or understanding how to combine types from di...
Spawns subagents with configurable tool access that return just the answers without flooding your context. Use for summarizing extensive git history, comparing across multiple repositories in parallel, or proce...
Handles customer data responsibly by answering questions ABOUT data without ever seeing the data directly. Use when querying Redis, databases, logs, or any source containing customer information like JIDs, emai...
Creates well-structured Agent Skills following best practices. Use when writing new skills, reviewing existing skills, or when the user mentions skill authoring or Skills.
SuperClaude 增强层 Skill,为其他 Skills 提供 SuperClaude 能力增强。 支持前置分析、后置审查、智能建议等增强模式。
Autonomous AI coding loop with PRD-based task tracking. Use when user says "leo-wiggum", "/leo-wiggum", "start leo loop", "autonomous coding", "run leo", or wants to implement a feature using iterative AI sessi...
Opinionated constraints for building better interfaces with agents.
Create custom slash commands for AI coding assistants.
Generates session summaries and resume prompts for multi-session work. Use when completing features, before context limits (~50% capacity), or when user says "summary", "wrap up", "save progress", "end session"...
Use when asked for "deep research", "thorough analysis", "comprehensive report", "investigate", "due diligence", or when multiple sources are needed to answer complex questions. Produces well-sourced research r...
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
This skill should be used when generating developer onboarding documentation including architecture overviews, setup guides, code tours, and decision records.
Launch background Claude sessions to explore and analyze business ideas. Say "Idea: [description]" to trigger.
Write AI-readable documentation following concise-over-comprehensive principle, hierarchical CLAUDE.md/AGENTS.md inheritance (100-200 line rule), structured formats (tables over prose), parallel validation, and...
Set up and use MCP (Model Context Protocol) servers to extend Claude Code capabilities including PRISM semantic memory, filesystem access, and database integration. Use when setting up MCP servers, debugging MC...
Write effective prompts for Task tool sub-agents, slash commands, and system prompts. Covers Claude 4.x prompting patterns, context engineering, output format specification, and parallel delegation. Use when sp...
Analyzes unstructured documents, conversations, and notes to generate structured markdown documentation containing user stories, system requirements, and feature specifications. Use this skill when you need to:...
Matches tasks to appropriate agents by analyzing task requirements and finding agents with matching capabilities. Use when you need to assign tasks to agents or determine which agent should handle a task. Consi...
Creates new agent files with complete specifications, following the same format as existing agents. Use when a new agent is needed for tasks that existing agents cannot handle. Generates agent markdown files wi...
Assesses agent capabilities by analyzing agent files and determining what tasks they can handle. Use when you need to evaluate if an existing agent can handle a task or if a new agent is needed. Reviews agent d...
Multi-AI collaboration protocol using shared file editing. Use when major decisions require diverse AI perspectives (Claude, Grok, Gemini, etc.) to debate and reach consensus. AIs write directly to debate files...
AI collaboration protocols for multi-agent problem solving. Use when bouncing ideas between different AI perspectives, reviewing documents for updates, or simulating expert consultations. Enables structured thi...
Automated lessons learned system for NinjaTrader trading. Use when implementing new features, fixing bugs, or reviewing code. Ensures past mistakes are never repeated by making historical lessons mandatory chec...
実装開始時のコンテキストセットアップ。関連ナレッジを検索し、効率的な実装開始を支援。新規実装タスク開始時に自動トリガーまたは明示的に呼び出し可能。
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.