# SkillRepo

> Use this tool when you need to manage and distribute AI agent skills to developers and remote agents, providing a centralized library for governed skills. It solves problems of skill fragmentation and inconsistency, enabling efficient skill deployment and updates. With SkillRepo, developers can input custom skills and receive standardized outputs, making it ideal for use cases requiring scalable AI agent management.

Canonical page: https://skillsregistry.net/skills/dev-skillrepo-skillrepo  
JSON: https://api.skillsregistry.net/v1/skills/dev-skillrepo-skillrepo

## Description

Governed AI agent skills — one library, distributed to devs and exposed to remote agents over MCP.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/dev.skillrepo%2Fskillrepo)

## Use it

MCP endpoint published by the skill: `https://mcp.skillrepo.dev/api/mcp`

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dev-skillrepo-skillrepo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dev-skillrepo-skillrepo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dev-skillrepo-skillrepo/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt