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Ziplex

AI community

Description

A tool that converts local projects into structured contexts that AI can understand instantly

Installation

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

README

Ziplex

**English** | [한국어](README_ko.md)

**Turn any local project into a context file an AI can load instantly — instead of reading through hundreds of raw files.**

Ziplex walks a project, compresses and structures it with Tree-sitter, summarizes it with an LLM (optional — see [Quick start](#quick-start) for the no-API-key path), and lets a human correct the result before it ships. The output is `aif.json`: a small, structured "AI context format" file.

⚠️ Under active development. Interfaces and output format may still change.


Where it helps

  • Giving an AI assistant your project's shape once, not every session — paste aif.json into a chat, point an MCP client at it, or open it in the GUI, instead of re-explaining file layout and conventions every time.
  • Multi-language projects — a TypeScript frontend, a Python or Java backend, config and docs in between: one pack covers all of it, with cross-file relationships intact.
  • Game modding and asset projects that aren't git repos — a Godot scene referencing a GDScript/Lua script by path, a Lua mod with loose asset files: Ziplex tracks those relationships even for files with no Tree-sitter grammar of their own (see Features).
  • Onboarding an AI onto a codebase you didn't write — summaries are human-reviewed before they ship, so you're not trusting a raw LLM guess about unfamiliar code.
  • Keeping a CI context budget honest--max-tokens fails a build if the packed payload grows past what a target model can hold.
  • Sharing one AI context across a teamaif.json/detail.json are just files; commit them like any other generated artifact (see Team use).

Quick start

pip install ziplex        # or: venv\Scripts\activate && pip install -e . from a clone

**Try it right now — no API key, no signup, no network call:**

ziplex pack ./your-project/ --auto --no-llm

This runs the full pipeline (Tree-sitter compression, depe