# corpus

> corpus — ryanjdillon-corpus. Use this tool when you need to perform semantic searches or structured queries over your own content, solving problems such as information retrieval and knowledge discovery within large datasets. It takes in natural language queries or specific search terms as input and outputs relevant results, allowing for efficient filtering and organization of content. Ideal for use cases where you need to quickly locate specific information within your own repositories, such as git-based projects.

Canonical page: https://skillsregistry.net/skills/ryanjdillon-corpus  
JSON: https://api.skillsregistry.net/v1/skills/ryanjdillon-corpus

## Description

Semantic search and structured query over your own content

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MPL-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ryanjdillon/corpus)

## 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": "ryanjdillon-corpus"
    }
  }
}
```

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