# genpark-codebase-semantic-rag-ast-indexer-skill

> genpark-codebase-semantic-rag-ast-indexer-skill — alphaparkinc-genpark-codebase-semantic-rag-ast-indexer-skill. Use this tool when you need to analyze and understand complex enterprise codebases by parsing Abstract Syntax Trees (ASTs), generating semantic vector indexes, and creating symbol graphs. It solves problems related to code comprehension, navigation, and search, providing valuable insights into large-scale code repositories. Ideal for use with git-based codebases, it takes in code files as input and outputs indexed semantic representations and symbol graphs.

Canonical page: https://skillsregistry.net/skills/alphaparkinc-genpark-codebase-semantic-rag-ast-indexer-skill  
JSON: https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-codebase-semantic-rag-ast-indexer-skill

## Description

Enterprise codebase AST parsing, semantic vector indexing & symbol graph

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **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/alphaparkinc/genpark-codebase-semantic-rag-ast-indexer-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-codebase-semantic-rag-ast-indexer-skill"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-codebase-semantic-rag-ast-indexer-skill` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alphaparkinc-genpark-codebase-semantic-rag-ast-indexer-skill/pull`

---
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