# skylakegrep

> skylakegrep — danielchen26-skylakegrep. Use this tool when you need to perform offline semantic searches on your local files, solving problems like quickly finding specific code snippets or documents without relying on internet connectivity. It takes in local file directories as input and outputs relevant search results, leveraging Ollama's semantic search capabilities. Ideal for use cases like searching through large codebases or personal document collections, especially in offline or low-connectivity environments.

Canonical page: https://skillsregistry.net/skills/danielchen26-skylakegrep  
JSON: https://api.skillsregistry.net/v1/skills/danielchen26-skylakegrep

## Description

Fully-offline semantic search over your local files — powered by Ollama

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/danielchen26/skylakegrep)

## 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": "danielchen26-skylakegrep"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danielchen26-skylakegrep` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danielchen26-skylakegrep/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