A framework for discovering, compiling, and validating reusable skills for scientific agents.
A Python wrapper for the Chemistry Development Kit (CDK)
📡 Your own AI-powered news radar. Generates daily briefings in English & Chinese. | 用 AI 构建你专属的新闻雷达
MCP Server para 70 APIs públicas brasileiras
LLM agents as your hyperparameter optimizer.
A comprehensive collection of Model Context Protocol (MCP) servers
OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards
🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️
AI Agent Skills built for Founders who hate Marketing
Socratic method teaching skill for Claude Code — guides users to discover answers through questioning
An OpenStreetMap MCP server implementation that enhances LLM capabilities with location-based services and geospatial data.
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
Claude Code skills and workflows, optimized for context-efficiency and skill quality. Skills ranging from cloud infrastructure to design to advanced maths.
Create best skills based on best books
MCP server for token-efficient large document analysis via the use of REPL state
🦜✨ Chat system, MCP server, and reusable components to improve LLMs capabilities when generating SPARQL queries
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
An agent skill to evolve the quality of LLM-Wiki (Graphify) at test time.

The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.
A Longbridge skill pack for asking market, portfolio, and valuation questions in natural language.
Fast, flexible, and open tooling for building intelligent workflows with Cypress.
SpecStory's official collection of agent skills. Summarize, organize and create with `.specstory/history`
Turn complex AI analysis into consultant-style, visual, interactive decision briefings.
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM