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Initialize session as ORCHESTRATOR agent with multi-agent coordination capability. Use for complex tasks requiring parallel agent spawning and result synthesis.
Discover research llm ai skills, compare source repositories and read the instructions for each workflow.
Initialize session as ORCHESTRATOR agent with multi-agent coordination capability. Use for complex tasks requiring parallel agent spawning and result synthesis.
Tool discovery, routing, chaining, error handling, and composition for the 34+ MCP scheduling tools. Use when orchestrating complex multi-tool workflows, handling MCP errors, or discovering available capabiliti...
Parallel strategy generation using G-5 Planning. Deploy 10 planning probes for multi-perspective implementation planning. Use for complex task planning after reconnaissance.
Generate friendly greetings in multiple languages with cultural context. Use when creating welcome messages, international greetings, or multilingual user interfaces.
Create effective Claude Code sub-agents for project-level workflows. Use PROACTIVELY when creating new sub-agents, improving existing agents, understanding YAML frontmatter structure (name, description, tools,...
RAG-first ORCHESTRATOR startup. Minimal context (~500 tokens), queries RAG on-demand. Token-efficient alternative to startupO.
Invoke DEVCOM_RESEARCH for deep research, cross-disciplinary analysis, and novel problem solving. Use when exploring cutting-edge concepts or investigating patterns that require theoretical foundation.
Claude Code をヘッドレスモード(非対話モード)でスクリプトから呼び出すための実装ガイド。Use PROACTIVELY when creating automation scripts, shell scripts calling claude, headless mode, non-interactive mode, batch...
Extract file-type specific rules from CLAUDE.md into .claude/rules/ with dynamic loading via paths. Use PROACTIVELY when CLAUDE.md has file-specific rules (API, frontend, testing) that can benefit from on-deman...
Parallel historical context gathering using G-4 CONTEXT. Deploy 6 probes to gather all relevant context before complex work.
Spawn PAI agents via MCP factory tool. Loads identity, injects RAG context, validates spawn chain, and executes via Task(). The bridge between MCP tools and Claude Code's agent spawning.
Guide for creating effective Claude Code skills with proper YAML frontmatter, directory structure, templates, scripts, and best practices. Use PROACTIVELY when creating new skills, updating existing skills, lea...
Assess and improve repository AI coding proficiency and context engineering maturity. Use when users ask about: (1) AI readiness or AI maturity assessment, (2) context engineering quality or improvement, (3) CL...
Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactorin...
Ensures alignment between user and Claude during feature/spec planning through a structured interview process. Use this skill when the user invokes /plan-interview before implementing a new feature, refactorin...
Customize AI proficiency measurement for your specific repository through a guided interview. Use when: setting up measure-ai-proficiency for a new repo, adjusting thresholds for your team's size, hiding irrel...
Design API contracts, data models, and UI/UX specifications. Use for API design, data modeling, UI wireframes, and design systems.
Example custom Skill demonstrating template generation and best practices. Use this as a reference when creating your own custom Skills.
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 an agent's capabilities with specialized knowledge, workflows, or...
Analyzing GitHub Copilot session log files to extract token usage, model info, and interaction data. Use when working with session files or debugging token tracking.
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...
Build AI agents with LangChain framework. Use when building agents, tools, memory, MCP integrations, RAG pipelines, multi-agent systems, or any LLM-powered applications using LangChain or LangGraph in Python or...
Build AI agents with Hugging Face's SmolAgents framework. Use when creating code-executing agents, tool-calling agents, multi-agent systems, agentic RAG, text-to-SQL pipelines, web browsing agents, or any multi...
Use towles-tool (`tt`) CLI for create plans to run claude code in a headless autonomous fashion.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.