Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
Guide for AI Agents and LLM development skills including RAG, multi-agent systems, prompt engineering, memory systems, and context engineering.
Create new Agent Skills for the Momentum Firmware project
Display all loaded Claude Code skills by category with counts and paths
Using this skills to understand Agent Context Protocol when user mentioned or working with this.
Process and analyze text using modern NLP techniques - preprocessing, embeddings, and transformers
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
LangChain framework utilities for chains, agents, and RAG
Build self-hosted TTS APIs using HuggingFace models (Parler-TTS, F5-TTS, XTTS-v2) and create LiveKit voice agent plugins with streaming support. Use when creating production-ready text-to-speech systems that need: (1) Self-hosted TTS with full control, (2) LiveKit voice agent integration, (3) Streaming audio for low-latency conversations, (4) Custom voice characteristics, (5) Cost-effective alternatives to cloud TTS providers like ElevenLabs or Google TTS.
Expert prompt engineering for creating effective prompts for Claude, GPT, and other LLMs. Use when writing system prompts, user prompts, few-shot examples, or optimizing existing prompts for better performance.
Use when you need to access MCP servers without installing them directly in Claude Code. MCPorter provides CLI access to any MCP server via npx, enabling tool discovery, direct calls, and ad-hoc connections. Use for accessing external MCP capabilities like browser automation, API integrations, or any MCP-based tooling.
Sync core skills, commands, and scripts from marketplace to ~/.claude/
Override default model selection for specific subagents to use Sonnet instead of Opus. Use ONLY when the user explicitly requests to use Sonnet model for Plan, code-reviewer, code-simplifier, or Resolve Conflicts agents. Do not use this skill proactively - it requires explicit user instruction.
Search and retrieve official Microsoft documentation, code samples, and technical information. Use PROACTIVELY when researching Azure AI Search, Copilot Studio, Azure Cognitive Services, Azure App Service, Microsoft 365, Power Platform, Power Automate, or Power Apps. Trigger on: "how do I implement", "what is the difference", "how does this feature work", "Azure", "Microsoft", "Copilot", "Power Platform", or when official docs links and code examples are needed. Always include source URLs from Microsoft Learn.
Memory-First development workflow integrating Serena short-term project memory and Cipher long-term design knowledge for efficient LoRAIro development
An example skill demonstrating the agentskills.io format with all optional sections included
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
Expert knowledge for Business Layer modeling in Documentation Robotics
Restore previous session state from Serena MCP checkpoints. Retrieves checkpoint by ID or auto-selects most recent, deserializes context, restores command/skill/phase/wave state. Use when: resuming after context loss, continuing previous session, recovering from interruption.
Expert-level AI system design, MLOps, architecture patterns, and AI infrastructure
Core configuration engine for meta-unify plugin. Parses user configuration requests, translates between Claude and Codex formats, and generates appropriate configuration files for both systems. Invoked by meta-unify commands to handle MCP servers, skills, hooks, rules, and instructions.
Explains how to create Synapse plugin actions. Use when the user asks to "create an action", "write an action", uses "@action decorator", "BaseAction class", "function-based action", "class-based action", "Pydantic params", "ActionPipeline", "DataType", "input_type", "output_type", "semantic types", "YOLODataset", "ModelWeights", "pipeline chaining", or needs help with synapse plugin action development.
