suno-prompt-architect
Expert Suno AI prompt engineering for cinematic, transformative music creation. Use this skill when creating Suno prompts for Vibe OS sessions, meditation tracks, or any AI-generated music that needs professional quality and emotional resonance.
layer-01-motiv
Expert knowledge for Motivation Layer modeling in Documentation Robotics
setup-ralph
Setup the Ralph autonomous AI coding loop - ships features while you sleep
llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
deepagents-integration
deepagents framework integration patterns for agent creation, planning, filesystem operations, and subagent orchestration. Current version 0.2.5 with LangGraph 1.0.2+
tts-livekit-plugin
Build and deploy self-hosted Text-to-Speech API using MeloTTS from Hugging Face and create a LiveKit plugin for voice agents. Use this skill when building TTS systems, LiveKit voice agents, or self-hosted speech synthesis solutions.
pact-memory
Persistent memory for PACT agents. Save context, goals, lessons learned, decisions, and entities. Semantic search across sessions. Use when: saving session context, recalling past decisions, searching lessons. Triggers: memory, save memory, search memory, lessons learned, remember, recall
layer-05-tech
Expert knowledge for Technology Layer modeling in Documentation Robotics
layer-10-navigation
Expert knowledge for Navigation Layer modeling in Documentation Robotics
serena-memory-system
Interface for long-term memory and context management. Use to store and retrieve user preferences, project context, and past learnings.
llm-jailbreaking
Advanced LLM jailbreaking techniques, safety mechanism bypass strategies, and constraint circumvention methods
implementing-rag
Set up RAG pipelines with document chunking, embedding generation, and retrieval strategies using LlamaIndex. Use when building new RAG systems, choosing chunking approaches, selecting embedding models, or implementing vector/hybrid retrieval for src/ or src-iLand/ pipelines.
sim-to-real
Provides guidelines and principles for bridging the gap between simulated robotics environments and real-world hardware deployment in Physical AI.
layer-06-api
Expert knowledge for API Layer modeling in Documentation Robotics
claudish-usage
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly requests it. Use when user mentions external AI models, Claudish, OpenRouter, or alternative models. Includes mandatory sub-agent delegation patterns, agent selection guide, file-based instructions, and strict rules to prevent context window pollution.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
your-skill-name
Brief description of what this skill does (1-2 sentences). Include key triggering words that help agents recognize when to use this skill.
pr-reviewer
Autonomous AI-powered pull request reviewer with multi-agent analysis and comprehensive feedback
creating-mcp-servers
Guide for creating and integrating MCP (Model Context Protocol) servers with Claude Code. Use when building external tool integrations, connecting to databases, creating custom capabilities, or adding API wrappers. Covers transports, OAuth, configuration, and troubleshooting.
pydantic-ai-agent-builder
Expert guidance for building AI agents with Pydantic AI framework. Use when creating multi-agent systems, AI orchestration workflows, or structured LLM applications with type safety and validation.
