analyze-project-architecture
LLM-based architectural analysis that transforms raw project data into meaningful structure
LLM-based architectural analysis that transforms raw project data into meaningful structure
A simple greeting skill to verify the Agent Skills implementation.
This skill should be used when the user asks to "create MCP server", "build MCP server on Workers", "deploy MCP server", "extend Claude with tools", or is developing Model Context Protocol servers on Cloudflare.
Start structured red vs. blue team debates via subagents. Use when exploring a topic from multiple adversarial perspectives.
Creates a new skill for the Antigravity agent environment based on user requirements. Use when the user wants to create a new skill or standardize an existing one.
Guide to designing and implementing tools for the vscode-copilot-chat extension, including patterns, testing, and best practices
Capture streams of consciousness, tangential thoughts, and hyperfocus output. Extract signal from noise. Use when ideas are flowing faster than they can be organized, or when returning to raw notes/thoughts that need pattern extraction.
Build custom Model Context Protocol servers to extend Claude's capabilities
Implements TF-IDF based search engines for text datasets using vector space models and cosine similarity. Use when building search functionality, finding similar documents, ranking text by relevance, or working with text retrieval systems.
Multi-agent systems with LangGraph - supervisor/swarm patterns, state coordination, multi-provider routing. Use when building multi-agent workflows, coordinating agents, or need cost-optimized orchestration. Uses Claude, DeepSeek, Gemini (no OpenAI).
The Meta-Skill. Use this to create NEW skills (tools) for the agent.
Fine-tuning Text-to-Speech (TTS) models with Unsloth for voice cloning and synthetic speech (triggers: TTS, text-to-speech, voice cloning, Orpheus-TTS, audio fine-tuning, speech synthesis).
Run and evaluate the Skillset smoke test (aliases, sets, and skill invocation) and interpret its JSON reports. Use this when validating $skill/$set behavior or checking Claude Code/Codex headless runs.
Understanding output styles in Claude Code (deprecated feature). Use when user asks about customizing Claude's behavior, output styles, or explanatory/learning modes.
Build cost-optimized chat applications with Azure OpenAI Model Router that intelligently routes queries to the most appropriate model based on complexity, achieving up to 60% cost savings.
Deep research with sequential thinking and parallel agents
Set up Ralph for autonomous feature development. Use when starting a new feature that Ralph will implement. Triggers on: ralph, set up ralph, start ralph, new ralph feature, ralph setup. Chats through the feature idea, creates tasks with dependencies, and sets up everything for Ralph to run.
Check status of running subagents including token usage and context limits
Generate culturally diverse names for examples, mock data, and test fixtures. Includes edge-case names that catch bugs.
Use when writing or refactoring Python code for LangGraph v1.x + LangChain v1: Graph API + Functional API import paths, checkpoint/store usage, and migrations off deprecated prebuilts (create_react_agent -> langchain.agents.create_agent).
TOON Format Specialist - YAML-based token-efficient agent/workflow definitions inspired by BMAD Method patterns