SkillPort serves as a SkillOps toolkit that validates, manages, and delivers Agent Skills at scale through an MCP server, CLI, and Python library. It provides tools for validating skills against the Agent Skills specification, managing skill lifecycle (add, update, list, remove), updating metadata programmatically, and serving skills via MCP with a search-first pattern that loads skill metadata on demand to preserve context. The server solves the problem of handling large skill repositories efficiently by enabling search-based skill discovery rather than loading all skills upfront, while ensuring skill quality through validation and supporting installation from GitHub, local paths, or archives.
claude mcp add --transport stdio gotalab-skillport uvx skillport