ai-pack-cli 0.1.7

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📦 ai-pack

Pack your entire codebase into a single formatted Markdown prompt for LLMs, optimized for minimum tokens.

ai-pack is a lightweight, high-performance CLI tool designed to help developers package their codebase, specific files, or uncommitted changes into a clean Markdown payload. Easily copy it to the clipboard or save it to a file to feed directly into ChatGPT, Claude, Gemini, or any other LLM.

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🔥 Key Features

• ⚡ Native CLI Command: Accessible globally as ai-pack, aipack, or aip.
• 💀 Code Skeleton Extraction (--skeleton): Drastically save tokens by stripping method and function bodies, keeping only class structures, imports, signatures, and docstrings.
• 🎯 Interactive Selection (-i): Interactively choose which files to pack using Arrow keys and Spacebar before generating the payload.
• 🌿 Git-Aware (--changed): Automatically detect and pack only modified, staged, or untracked files.
• 🛡️ Gitignore Respecting: Native Git integration using git ls-files to automatically ignore build artifacts, node modules, and everything in .gitignore (with a clean manual fallback for non-git folders).
• 💬 Predefined LLM Prompts (-p): Instantly prepend pre-configured prompts for code review, bug hunting, or architecture explanations.
• 📊 Token Estimation: Heuristic token counting warns you if your payload exceeds your limit (--max-tokens).

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🚀 Quick Start

Installation

Choose one of the following methods to get started quickly:

Option 1: Install from PyPI (Recommended)

Install the official release from PyPI:

pip3 install ai-pack-cli --user

Or via pipx to run in an isolated environment:

pipx install ai-pack-cli

Option 2: Install directly from GitHub

Install the latest cutting-edge development version directly:

pip3 install git+https://github.com/iamraydoan/ai-pack.git --user

Option 3: Manual Clone (Editable mode)

If you want to modify the source code:

git clone https://github.com/iamraydoan/ai-pack.git
cd ai-pack
pip3 install -e . --user

Option 4: Run as a Standalone Script (One-Liner)

Since ai-pack is a self-contained single script, you can download it directly:

curl -o ~/.local/bin/aip https://raw.githubusercontent.com/iamraydoan/ai-pack/main/ai_pack.py && chmod +x ~/.local/bin/aip

(Note: If you run it standalone, you will need to manually run pip3 install pyperclip questionary to enable all optional interactive and clipboard features).

[!TIP] Optional backend for Skeleton Mode (--skeleton): If you plan to use skeleton extraction for non-Python languages (such as JavaScript, TypeScript, Go, Rust, Java, C#, C++, PHP, Lua, CSS, Swift, and Kotlin), you must install ast-grep globally:

npm install -g @ast-grep/cli
# or: cargo install ast-grep

Usage Examples

1. Pack the entire repository (copied to clipboard)

aip

2. Pack specific files and save to a file

aip -f src/main.py tests/ -o output.md

3. Pack only uncommitted git changes with a code review prompt

aip --changed -p review

4. Extract code skeleton only (drastically saves context window tokens)

aip --skeleton -p explain

5. Interactively choose files to include

aip -i

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💀 Skeleton Mode Demo

Original Code (math.py):

def fibonacci(n):
    if n <= 0:
        return []
    elif n == 1:
        return [0]
    sequence = [0, 1]
    while len(sequence) < n:
        sequence.append(sequence[-1] + sequence[-2])
    return sequence

Skeleton Output:

def fibonacci(n):
    ...

Supports Python, JavaScript, TypeScript, Go, Rust, Java, C#, C++, PHP, Lua, CSS, Swift, and Kotlin via codesigs and ast-grep.

[!IMPORTANT] Skeleton Mode Dependencies:

• Python >= 3.9: Required to run the --skeleton feature.
• ast-grep: For non-Python languages, the ast-grep command-line tool must be installed globally (e.g. via npm: npm install -g @ast-grep/cli or cargo: cargo install ast-grep).

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🎨 Interactive CLI Checklist

Running aip -i triggers a beautiful checkbox prompt:

? Select files to pack (Space to toggle, Enter to confirm):
 ❯ [x] src/main.py
   [x] src/utils.py
   [ ] tests/test_main.py

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🤝 Contributing

Contributions are welcome! If you have ideas for new features, bug fixes, or enhancements:

1. Fork the repo.
2. Create your feature branch (git checkout -b feat/amazing-feature).
3. Commit your changes (git commit -m 'feat: add amazing feature').
4. Push to the branch (git push origin feat/amazing-feature).
5. Open a Pull Request.

Don't forget to give the project a ⭐ if you found it useful!