mcp-builder
Build custom Model Context Protocol servers to extend Claude's capabilities
Build custom Model Context Protocol servers to extend Claude's capabilities
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).
Test Bob The Skull with virtual audio injection instead of speaking. Use when testing wake word detection, STT accuracy, full conversation pipeline, or automated testing. Covers setup, configuration, injection methods, and troubleshooting.
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. 사용 시기: (1) MCP 서버 구축 시 (2) 외부 API를 MCP로 통합 시 (3) "MCP", "Model Context Protocol" 키워드 사용 시 (project)
Supervised fine-tuning using SFTTrainer, instruction formatting, and multi-turn dataset preparation with triggers like sft, instruction tuning, chat templates, sharegpt, alpaca, conversation_extension, and SFTTrainer.
Use when implementing on-device AI with Apple's Foundation Models framework (iOS 26+), building summarization/extraction/classification features, or using @Generable for type-safe structured output.
Create well-formed Claude agents with proper YAML frontmatter, system prompts, and examples. Use when user wants to create a new agent, customize Claude behavior, or needs help structuring an agent definition.
Instrument safety checks, content filters, and guardrails for agent outputs
Use when the user is exploring possibilities, asking for ideas, or expressing uncertainty. Trigger cues include "ideas", "alternatives", "what could we do", "brainstorm", "different approaches", "I'm not sure yet". Use this skill to generate distinct conceptual directions before any evaluation or refinement.
Advanced AI Solution Architect wisdom for designing production-grade AI systems. Use when (1) architecting new agents, workflows, or AI features, (2) debugging agent behavior or performance issues, (3) making technology choices (models, frameworks, observability), (4) reviewing AI system designs for production-readiness, (5) planning agent orchestration with LangGraph, (6) designing memory/context systems, (7) optimizing LLM costs and latency, or (8) building email marketing AI optimization systems. This skill thinks like a senior architect at OpenAI/Anthropic - questioning assumptions, anticipating failures, and designing for the AI-native future.
Manages Bob's persistent memory across sessions. Use when learning something new, having a meaningful conversation, reflecting on experiences, starting any significant task, or when context suggests something should be remembered for later.
Recognize and avoid 15 common AI fluency anti-patterns that undermine effectiveness: over-reliance, prompt magic thinking, verification theater, and more.
Use this skill when the user wants to call different LLM models through OpenRouter's unified API, compare model responses, track costs and response times, or find the best model for a task. Triggers include requests to test models, benchmark performance, use specific providers (OpenAI, Anthropic, Google, etc.), or optimize for speed/cost.
Consult other AI models via GitHub Copilot CLI for second opinions, thorough analysis, or alternative perspectives. Supports Gemini 3 Pro Preview (gemini), Claude Opus 4.5 (opus), Claude Sonnet 4.5 (sonnet) and GPT-5.1-Codex-Max (codex). Use when user explicitly requests, when needing detailed analysis, when requiring additional help with an especially complex task, or when seeking alternative model perspectives.
Azure AI Speech Fast Transcription - Transcribe contact center calls with speaker identification using stereo channel separation or mono diarization. Returns results synchronously and faster than real-time.
Verified information generation and validation
Standardize AskUserQuestion patterns and provide reusable question templates for batch optimization
Create new AI agent implementations for the Yui Protocol system. Use when adding agents like Yui, Eiro, Kanshi.
Orchestrate adversarial player-coach loop for high-quality code synthesis. Based on dialectical autocoding methodology.