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ai
sumik Claude Code Plugin (ai) — AI/LLM/エージェント開発スキル群（GenAIデザインパターン/AIエージェント構築/Web AI統合/promptfoo評価）
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building-ai-agents
/building-ai-agents
AIエージェント構築ガイド（LangChain/LangGraph・Google ADK・リアルタイムマルチモーダル）。 Use when building AI agents with LangChain, LangGraph, Google ADK, or Gemini Live API. フレームワーク選択、ツール定義、マルチエージェント、A2A、リアルタイム音声/動画を含む。 For framework-agnostic GenAI design patterns, use designing-genai-patterns. For JS/Vercel AI SDK web integration, use integrating-ai-web-apps. For MCP protocol/server design, use developing-mcp.
designing-genai-patterns
/designing-genai-patterns
32 production-grade GenAI design patterns covering content control (Logits Masking, Grammar, Style Transfer), RAG architecture, model capabilities (Chain of Thought, Adapter Tuning), reliability (LLM-as-Judge, Reflection, Prompt Optimization), agentic systems (Tool Calling, Multiagent Collaboration), deployment optimization (SLM, Prompt Caching, Inference Optimization), safety guardrails (Self-Check, Guardrails), RAG implementation (11 source types, chunking, vector stores), and LLMOps/AgentOps (maturity L0–2, Tool/Agent Registry, Memory Governance, LLM metrics, LLMSecOps). Also covers AI performance (GPU/CUDA, LLM inference) via PERF- references. Use when designing GenAI applications, choosing RAG strategies, implementing agent architectures, optimizing LLM reliability, or operating AI systems in production. For web AI (Vercel AI SDK, LangChain.js), use integrating-ai-web-apps. For GCP-specific ML (BigQuery ML, Vertex AI), use developing-google-cloud.
evaluating-with-promptfoo
/evaluating-with-promptfoo
LLM evaluation and red-teaming toolkit using promptfoo. Covers promptfooconfig.yaml configuration, 40+ assertion types (deterministic, model-graded, RAG), provider setup (OpenAI, Anthropic, Google, Ollama, HTTP, custom JS/Python), red teaming (134+ plugins, jailbreak strategies, compliance frameworks), CLI commands, caching, and CI/CD integration. Use when writing promptfooconfig.yaml, designing LLM test suites, running adversarial red team evaluations, or integrating LLM quality gates in CI/CD. Detects: promptfooconfig.yaml or promptfoo in package.json. For general LLMOps operations, use designing-genai-patterns. For general test methodology (TDD/AAA), use testing-code.
integrating-ai-web-apps
/integrating-ai-web-apps
Comprehensive guide to integrating generative AI into web applications using Vercel AI SDK, LangChain.js, and MCP with React/Next.js. Use when building AI-powered web features (streaming chat, RAG, tool calling, structured data generation) in JavaScript/TypeScript projects. For RAG system internals, use designing-genai-patterns. For MCP protocol development, use developing-mcp. For Next.js framework specifics, use developing-nextjs. For Python LangChain/LangGraph agent development, use building-ai-agents. For framework-agnostic GenAI design patterns (32 patterns covering content control through safety guardrails), use designing-genai-patterns.
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LanguagePython
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