glincker

Stacklit — AI skill for Claude Code

AI community

One command gives AI agents instant codebase context.

How to install Stacklit

This entry records only its repository, not the path inside it, so there is no exact command to give. Open glincker/stacklit and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Stacklit does

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

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Codesight — Universal AI context generator 979 ★

README

Stacklit

**108,000 lines of code. 4,000 tokens of index.**

One command makes any repo AI-agent-ready. No server, no setup.

[![CI](https://github.com/glincker/stacklit/actions/workflows/ci.yml/badge.svg)](https://github.com/glincker/stacklit/actions) [![Release](https://img.shields.io/github/v/release/glincker/stacklit)](https://github.com/glincker/stacklit/releases) [![npm](https://img.shields.io/npm/v/stacklit)](https://www.npmjs.com/package/stacklit) [![License](https://img.shields.io/badge/license-MIT-green)](https://opensource.org/licenses/MIT)

Install and run

npx stacklit init

That is it. Downloads the binary, scans your codebase, generates the index, opens the visual map. One command.

Other install options:

npm install -g stacklit              # install globally, then run: stacklit init
go install github.com/glincker/stacklit/cmd/stacklit@latest

Or grab a binary from [GitHub Releases](https://github.com/glincker/stacklit/releases) (macOS, Linux, Windows).

CI / GitHub Action

Use [glincker/stacklit-action](https://github.com/glincker/stacklit-action) to keep the index fresh automatically. Auto-commit on push, or gate PRs with check mode:

- uses: actions/checkout@v4
- uses: glincker/stacklit-action@v1        # auto-commit (default)
# or: with: { mode: check }               # fail PR if index is stale

Add `permissions: contents: write` to the job when using `auto-commit` mode.

![Stacklit demo](demo.gif)

What happens when you run it

$ stacklit init
[stacklit] found 342 files
[stacklit] parsed 342 files (0 errors)
[stacklit] done in 89ms -- wrote stacklit.json, DEPENDENCIES.md, stacklit.html

Opening visual map...

Three files appear in your project:

File	What it is	Commit it?
`stacklit.json`	Codebase index for AI agents	Yes
`DEPENDENCIES.md`	Mermaid dependency diagram	Yes (renders on GitHub)
`stacklit.html`	Interactive visual