# diamond

> Use this tool when you need to access offline documentation and perform hybrid searches without relying on network connections. It solves the problem of limited access to information in offline environments by enabling AI assistants to search and read synced libraries via MCP tools. The diamond tool takes in keywords and semantic queries as input and outputs relevant documentation results.

Canonical page: https://skillsregistry.net/skills/elmojones3-diamond  
JSON: https://api.skillsregistry.net/v1/skills/elmojones3-diamond

## Description

Enables AI assistants to search and read offline documentation from synced libraries via MCP tools, providing hybrid keyword and semantic search without network calls.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p5itz9vmwz)
- **Repository:** <https://github.com/ElmoJones3/diamond>

## 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": "elmojones3-diamond"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elmojones3-diamond` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elmojones3-diamond/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