# stacklit

> stacklit — royals7272-stacklit. Use this tool when you need to quickly index codebases for AI agents, enabling efficient navigation and search without requiring server setup or complex configuration. It solves problems of code discovery and mapping, particularly in large repositories, by building a local map with a single command. Ideal for use with git-based projects, stacklit streamlines code exploration and AI agent integration.

Canonical page: https://skillsregistry.net/skills/royals7272-stacklit  
JSON: https://api.skillsregistry.net/v1/skills/royals7272-stacklit

## Description

Index codebases for AI agents with one command. Build a local map of your repository without server requirements or setup.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/royals7272/stacklit)

## 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": "royals7272-stacklit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/royals7272-stacklit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/royals7272-stacklit/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