# mcp-skills-enrichedlab

> mcp-skills-enrichedlab — richardstoker-usda-mcp-skills-enrichedlab. Use this tool when you need to streamline workflows with custom MCP servers and Large Language Model (LLM) skills, solving problems related to automation and efficiency. It takes in various workflow inputs and outputs customized server configurations, leveraging git for version control. Ideal for use cases requiring tailored server setups and LLM integration.

Canonical page: https://skillsregistry.net/skills/richardstoker-usda-mcp-skills-enrichedlab  
JSON: https://api.skillsregistry.net/v1/skills/richardstoker-usda-mcp-skills-enrichedlab

## Description

Collection of my custom MCP servers and LLM skills for various workflows.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/RichardStoker-USDA/mcp-skills-enrichedlab)

## 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": "richardstoker-usda-mcp-skills-enrichedlab"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/richardstoker-usda-mcp-skills-enrichedlab` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/richardstoker-usda-mcp-skills-enrichedlab/pull`

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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