发现 testing security llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Implement retrieval-augmented generation systems. Use when building knowledge-intensive applications, document search, Q&A systems, or need to ground LLM responses in external data. Covers embedding strategy, v...
Clear description of what this skill does and when Claude should use it. Be specific about triggers - include the functionality AND when to activate. Example: "Extract text from PDFs and fill forms. Use when wo...
Run code snippets in 30+ programming languages including JavaScript, Python, TypeScript, Java, C, C++, Go, Rust, Ruby, PHP, and more. Use when the user wants to execute code, test algorithms, verify output, run...
Tool usage requirements, failure patterns, consistency checks, and validation methodologies for Claude Code operations
Autonomous agent-based web search fallback for when WebSearch API fails or hits limits
Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates
Active diagnostic tool for analyzing skill prompts to identify token waste, anti-patterns, trigger issues, and optimization opportunities. Use when reviewing skill prompts, debugging why skills aren't triggerin...
Proactive token budget assessment and task chunking strategy. Use this skill when queries involve multiple large file uploads, requests for comprehensive multi-document analysis, complex multi-step workflows wi...
Analyzes skill usage patterns across conversations to track token consumption, identify heavy vs. lightweight skills, measure invocation frequency, detect co-occurrence patterns, and suggest consolidation oppor...
Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic develop...
Comprehensive guide for AI-assisted vibe coding. Use when the user wants to build applications through natural language prompts using tools like Lovable, Cursor, Replit, or Bolt. Includes best practices, pitfal...
Recognize and capture reusable patterns, workflows, and domain knowledge from work sessions into new skills. Use when completing tasks that involve novel approaches repeated 2+ times, synthesizing complex domai...
Debug, diagnose, and troubleshoot skill issues including trigger failures, parameter problems, prompt conflicts, and SKILL.md structural issues. Use when skills don't activate as expected, trigger incorrectly,...
Transform reading notes and insights into polished, authentic content (blogs, social media, visualizations) that preserves your unique voice and avoids AI-style writing. Creates content that sounds unmistakably...
Comprehensive framework for evaluating AI vendors and solutions to avoid costly mistakes. Use this skill when assessing AI vendor proposals, conducting due diligence, evaluating contracts, comparing vendors, or...
Analyzes skill ecosystem to visualize dependencies, identify workflow bottlenecks, and recommend optimal skill stacks. Use when asked about skill combinations, workflow optimization, bottleneck identification,...
Comprehensive library of proven prompting patterns, frameworks, and examples for different use cases. This skill should be used when creating prompting guides, analyzing prompt effectiveness, teaching prompting...
AI智能邮件助手，分析邮件内容生成摘要，判断是否需要回复，并基于上下文生成专业回复草稿。
Develop and extend the WARNERCO Robotics Schematica system - an agentic RAG application with FastAPI, FastMCP, LangGraph orchestration, and 3-tier memory (JSON/Chroma/Azure AI Search). Use when working on the s...
Turn a transcript summary into a reusable Claude skill. Researches the topic and creates a skill file.
Build Model Context Protocol (MCP) servers in Python (FastMCP), JavaScript, or TypeScript. Use when creating new MCP servers, adding tools/resources/prompts, configuring transports (stdio/HTTP), or debugging MC...
AI网站可读性审计，模拟AI爬虫视角检查网站结构，评估对LLM的友好程度，提供具体优化建议。
面向LLM的内容优化（GEO），让文章不仅被Google收录，还能被AI引用。针对ChatGPT/Claude等大模型的阅读习惯优化内容结构。
Expert assistant for developing Model Context Protocol (MCP) servers in Python using FastMCP, mcp package, Pydantic, and async patterns. Use when building MCP tools, resources, prompts, or debugging Python MCP...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。