17 skills found
google-gemini / behavioral-evalsGuidance for creating, running, fixing, and promoting behavioral evaluations
ValueCell-ai / valuecellValueCell is a community-driven, multi-agent platform for financial applications.
google / adk-goAn open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Kiln-AI / KilnBuild, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
evalstate / fast-agentCode, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
Tencent / AI-Infra-GuardA full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
sahibzada-allahyar / YC-KillerA library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.
refreshdotdev / web-eval-agentAn MCP server that autonomously evaluates web applications.
Devin-AXIS / A2VA2V: Next-Gen AI Value Compute Protocol.
luongnv89 / claude-howtoA visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
VoAPI / VoAPI🎉 全新下一代高颜值、高性能、高扩展的智能AI大模型API聚合分发系统 | A new next-generation high-value, high-performance, and highly scalable intelligent AI large-model API aggregation and distribution
oxbshw / LLM-Agents-Ecosystem-HandbookOne-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
dedalus-labs / dedalus-mcp-pythonA simple and performant Model Context Protocol framework for Python.
pzalutski-pixel / javalens-mcpMCP server providing semantic Java code analysis for AI agents. Built on Eclipse JDT with tools for navigation, refactoring, search, and metrics.
dannySubsense / youtube-mcp-serverA comprehensive Model Context Protocol (MCP) server providing real-time YouTube Data API access for AI assistants. Features 14 functions including intelligent content evaluation with technology freshness scoring for knowledge base curation.
agentic-community / openapi-to-mcpTransform OpenAPI specifications into production-ready MCP servers with AI-powered evaluation and enhancement. Leverages LLMs to analyze, improve, and generate Model Context Protocol implementations from your existing API documentation.
Fuenfgeld / pydantic-ai-skillsProduction-ready Claude Code skills for building AI agents with Pydantic AI. Includes dependency injection, tools, validators, streaming, multi-agent orchestration, and evaluation framework patterns.
