MCP server that unifies and synchronizes AI coding skills across multiple tools, exposing skill discovery and retrieval via list_skills and read_skill.
An MCP server that aggregates agent skills from skills.sh and GitHub repositories, exposing list_skills, search_skills, and load_skill tools for context-efficient skill discovery and on-demand loading.
Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
MCP server that adapts, activates, and shares local Agent Skills for runtimes like OpenAI Agents SDK and Claude Code, enabling dynamic discovery and shareable HTML/image artifacts.
A minimal MCP server that resolves skill names to filesystem paths + metadata, enabling on-demand skill retrieval without loading full content into context.
A powerful MCP server that brings the skills.sh ecosystem directly to your AI agents, enabling effortless discovery, installation, and management of skills.