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Related Servers

Alternatives to skillshelf

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables MCP clients to discover, search, and load agent skills from many sources, including other agents' skill directories, Claude Code plugin marketplaces, and remote git repositories, with no copying or syncing required.
      1,058 npm
      6
      MIT
    • A
      license
      A
      quality
      A
      maintenance
      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.
      7
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to discover, load, and recommend versioned skills from a self-hosted library over MCP, with scoped access and immutable revisions.
      3 npm
      275
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables MCP hosts to discover, list, load, explain, and validate Agent Skills (SKILL.md) from project and home skill trees. Hosts can filter, rank, and load skills without depending on any one agent product.
      2
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to install compatible SKILL.md skills from Git repositories or local directories into a persistent registry, then discover them through search, progressive loading, and asset reads. It exposes only user-selected hot skills as individual activation tools, keeping execution and trust decisions under explicit operator control.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to discover, install, and manage SKILL.md skills from a Git-backed registry via MCP tools for search, install, and list operations.
      18 npm
      2
      MIT