SkillPort
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.
- GitHub stars
- 385
- tools
- 2
- last updated
- Jan 25, 2026
Tools
2 toolsPublic tool metadata for what this MCP can expose to an agent.
search_skillsFind skills by description (full-text search)
Find skills by description (full-text search)
No parameter schema in public metadata yet.
load_skillGet full instructions + path
Get full instructions + path
No parameter schema in public metadata yet.
Sponsors
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⚓ SkillPort
The SkillOps Toolkit for Agent Skills
SkillOps = Validate, manage, and deliver skills at scale.
Why SkillPort?
| When you... | SkillPort... |
|---|---|
| Use a coding agent without native skill support | Serves via MCP or CLI |
| Build your own AI agent | Provides MCP server, CLI, and Python library |
| Have 50+ skills and need the right one fast | Search-first loading (Tool Search Tool pattern) |
| Check skills before deployment | Validates against the spec in CI |
| Manage skill metadata programmatically | Provides meta commands |
| Find a skill on GitHub | Installs with add <url> |
Fully compatible with the Agent Skills specification.
Features
Validate
Check skills against the Agent Skills specification.
Details
- Repository
- github.com/gotalab/skillport
- Category
- AI & LLM Tools
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