# genpark-developer-semantic-technical-search-engine-skill

> genpark-developer-semantic-technical-search-engine-skill — alphaparkinc-genpark-developer-semantic-technical-search-engine-skill. Use this tool when you need to efficiently search and retrieve technical information, such as compiler-verified code snippets, to solve development problems and improve coding productivity. It provides a search engine interface that accepts technical queries and returns relevant results with verified code snippets. Ideal for developers working with git repositories, this tool streamlines the search process and helps resolve technical issues quickly.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-developer-semantic-technical-search-engine-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-developer-semantic-technical-search-engine-skill

## Description

Developer technical search engine with compiler-verified snippets (Phind style)

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/alphaparkinc/genpark-developer-semantic-technical-search-engine-skill)

## 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": "alphaparkinc-genpark-developer-semantic-technical-search-engine-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-developer-semantic-technical-search-engine-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-developer-semantic-technical-search-engine-skill/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