# stacklit

> stacklit — glincker-stacklit. Use this tool when you need to instantly provide AI agents with context about a codebase, replacing extensive exploration with a concise summary of around 250 tokens. It solves the problem of manually configuring AI tools like Claude Code, Cursor, and Aider by auto-configuring them. Ideal for use with git repositories, stacklit streamlines the process of giving AI agents the context they need to be effective.

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

## Description

One command gives AI agents instant codebase context. ~250 tokens replaces 50,000+ tokens of exploration. Auto-configures Claude Code, Cursor, Aider.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/glincker/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": "glincker-stacklit"
    }
  }
}
```

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