Enables AI agents to search, browse, install, and manage a large library of skills via only 7 MCP tools, with skills stored locally and loaded on demand to minimize context overhead.
Enables MCP hosts to discover, browse, and load Agent Skills from one or many SKILL.md libraries over the Model Context Protocol, with namespaced libraries, search/list/get tools, progressive disclosure, and a digest-verified pull client for syncing skills to disk.
Enables MCP-compatible harnesses to load and invoke Claude Code style skills from SKILL.md folders, including listing and reading skill files with user-approval gating for model-invocation restrictions.