# Repository Intelligence Engine

> Repository Intelligence Engine — arjade25-repo-intelligence-engine. Use this tool when you need to efficiently query and analyze the structure of a TypeScript repository, solving problems such as locating specific symbols, tracing imports and exports, and identifying references. It provides a direct querying interface, accepting search terms and repository data as inputs, and outputs relevant code structure information. This engine is ideal for use cases involving code exploration, refactoring, and maintenance, streamlining development workflows by reducing reliance on manual grep operations.

Canonical page: https://skillsregistry.net/skills/arjade25-repo-intelligence-engine  
JSON: https://api.skillsregistry.net/v1/skills/arjade25-repo-intelligence-engine

## Description

Enables querying a TypeScript repository's structure (symbols, imports/exports, references) through direct queries, avoiding repetitive grep operations.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gjeesil2t9)
- **Repository:** <https://github.com/Arjade25/repo-intelligence-engine>

## 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": "arjade25-repo-intelligence-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arjade25-repo-intelligence-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arjade25-repo-intelligence-engine/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