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SkillsMP has collected 5,417 skills from majiayu000/claude-skill-registry. Open a skill to review its source and details.
majiayu000/claude-skill-registryShowing 40 of 5,417 collected skills.
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG systems, semantic search engines, or intelligent knowledge bases.
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when implementing self-critique and reflection loops, building evaluator-optimizer pipelines for quality-critical generation, creating test-driven code refinement workflows,…
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when implementing self-critique and reflection loops, building evaluator-optimizer pipelines for quality-critical generation, creating test-driven code refinement workflows,…
Advanced RAG with Self-RAG, Corrective-RAG, and knowledge graphs. Use when building agentic RAG pipelines, adaptive retrieval, or query rewriting.
Command-line tools that delegate analysis tasks to AI models. Includes image description, screenshot comparison, essay generation from text, and boolean condition evaluation. Use for describing images, comparing UI states, generating reports, evaluating…
How to use AI APIs like OpenAI, ChatGPT, Elevenlabs, etc. When a user asks you to make an app that requires an AI API, use this skill to understand how to use the API or how to respond to the user.
Multi-turn conversational AI for intent extraction, clarification, and generation readiness detection. Guides users through articulating creative intent with structured parameter extraction.
Provides AI consultation workflows, prompt templates, and best practices for multi-model consultation. Use when user asks for "second opinion", "ask codex", "ask gemini", "AI code review", "external AI consultation", or needs prompt templates for code review,…
AIコーディング支援ツールのコンテキストファイル（CLAUDE.md等）を最適化するスキル。 以下の状況で使用: (1) ユーザーが「CLAUDE.mdを改善して」「コンテキストファイルを最適化して」と依頼した時 (2) ユーザーが明示的に「/ai-context」を実行した時-optimizer (3) AI向けドキュメントの品質改善を求められた時
Source text: Japanese
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered…
AI Ethics and Compliance involve building systems that are not only technically proficient but also socially responsible and legally compliant. This includes adhering to global regulations and interna
Comprehensive AI/LLM evaluation toolkit for production AI systems. Covers LLM output quality, prompt engineering, RAG evaluation, agent performance, hallucination detection, bias assessment, cost/token optimization, latency metrics, model comparison, and…
Create new AI-powered features using xAI Grok. Use when user mentions "new AI feature", "add Grok", "create prompt", "AI analysis", or "generate with AI".
Work with Leavn AI features - UnifiedAIService, on-device models, devotional generation, novelization, kids mode, image generation with Stable Diffusion
Chat endpoints, embeddings, RAG workflows, vector search
基于若依-vue-plus框架的LangChain4j AI大模型集成标准规范。全面规范模型配置管理、类型安全服务定义、RAG（检索增强生成）实现、流式响应处理及安全性保障。 触发场景： - 开发智能客服系统、文档问答助手、代码生成工具 - 集成LLM大模型接口（OpenAI、智谱AI、通义千问等） - 实现知识库问答、文档检索、语义搜索功能 - 开发需要流式响应的AI交互界面 - 构建RAG（检索增强生成）应用…
Source text: Chinese
Use when analyzing merged PRs for AI blind spots, extracting patterns from human reviewer feedback, or applying accumulated learnings to context files.
Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at scale. Emphasizes production-grade performance, cost control, and observability.
Production LLM engineering skill. Covers strategy selection (prompting vs RAG vs fine-tuning), dataset design, PEFT/LoRA, evaluation workflows, deployment handoff to inference serving, and lifecycle operations with cost/safety controls.
获取最新的AI行业新闻，进行智能总结和筛选，最多展示10条最重要的新闻资讯。当用户需要了解AI行业最新动态时使用此skill。
Source text: Chinese
Ensures all AI-generated output fields have proper validation. Auto-activates on "AI 輸出", "LLM", "Gemini", "GPT", "truncate", "截斷" keywords. Lesson learned: 2026-01-08 Quick Feedback, Report, Deep Analyze truncation bugs.
Source text: Chinese
Operational prompt engineering patterns, templates, and validation flows for Claude Code.
Expert assistant for managing AI prompts, features, and configuration in the KR92 Bible Voice AI system. Use when creating AI prompts, configuring AI features, managing prompt versions, setting up AI bindings, or working with AI pricing and models. Supports…
Use when optimizing prompts, skill descriptions, or agent instructions for clarity, specificity, and behavioral effectiveness.
Complete RAG and search engineering skill. Covers chunking strategies, hybrid retrieval (BM25 + vector), cross-encoder reranking, query rewriting, ranking pipelines, nDCG/MRR evaluation, and production search systems. Modern patterns for retrieval-augmented…
Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation…
Vercel AI SDK v6 development. Use when building AI agents, chatbots, tool integrations, or streaming applications with the ai package.
Production best practices for building AI agents with Vercel AI SDK v5. Covers security, performance, error handling, testing, deployment patterns, and real-world implementation guidelines.
Expert guidance for AI SDK Core: text generation, structured data, tool calling (tool/dynamicTool), MCP integration (createMCPClient, Experimental_StdioMCPTransport), embeddings/reranking, provider setup, middleware, telemetry, and error handling. Use when…
Vercel AI SDK v5 for backend AI (text generation, structured output, tools, agents). Multi-provider. Use for server-side AI or encountering AI_APICallError, AI_NoObjectGeneratedError, streaming failures.
Install the Vercel AI SDK with AI Elements components. Build a streaming chat interface with the useChat hook.
Comprehensive guide to AI SDK v6 for agent development, tool definitions, multi-step agentic workflows, and result extraction patterns
Vercel AI SDK v5 React hooks (useChat, useCompletion, useObject) for AI chat interfaces. Use for React/Next.js AI apps or encountering parse stream errors, no response, streaming issues.
Expert guidance for building chat UIs with AI SDK React hooks. Use when: (1) Building chatbots with useChat hook, (2) Implementing tool UIs with server/client execution, (3) Handling message persistence and stream resumption, (4) Creating generative UI with…
Configure AI model options - budget cloud models (save 80%+) and offline mode (use Dex without internet)
Check your AI model configuration - see what's set up, current model, credits remaining
Generate type-safe AI content using Gemini structured output with Zod validation and Code Execution Tool. Use when building AI generation functions that need guaranteed output format.
Optimize AI assistant configurations for maximum effectiveness. USE THIS SKILL when user says "improve CLAUDE.md", "better copilot instructions", "tune AI", "optimize prompts", "MCP configuration", or wants to enhance AI assistant behavior. See…
Use when working with AI agent protocols, standards, and interoperability specifications. Covers MCP, A2A, ACP, Agent Skills, AGENTS.md, ADL, x402, AP2, MCP Apps, and cagent. USE FOR: agent protocol selection, comparing MCP vs A2A vs ACP, understanding agent…
Unified AI Proxy - API multi-proveedor gratuita con rotación automática, streaming, y zero vendor lock-in