# llm-skills-mcp-poc

> Use this tool when you need to automate code review tasks, such as evaluating and running skills, to improve the efficiency and accuracy of AI-powered development workflows. It provides a shared skill for peer review, allowing AI assistants to list, get, and execute skills with ease. By leveraging this tool, developers can streamline their code review processes and enhance overall productivity.

Canonical page: https://skillsregistry.net/skills/dorangao-llm-skills-mcp-poc  
JSON: https://api.skillsregistry.net/v1/skills/dorangao-llm-skills-mcp-poc

## Description

MCP server exposing a shared pr-review skill with tools to list, get, run, and evaluate skills, enabling AI assistants to perform code review tasks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rim7smvc0e)
- **Repository:** <https://github.com/dorangao/llm-skills-mcp-poc>

## Use it

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": "dorangao-llm-skills-mcp-poc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dorangao-llm-skills-mcp-poc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dorangao-llm-skills-mcp-poc/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