Shelf: AI-based command-line tools for developers

Shelf is a command-line tool for bookmarking configuration files in the system, generating git commit messages and reviewing code using AI.

It provides a simple command-line command to track files across your system and integrates with multiple AI providers to automatically generate meaningful commit messages through git hooks and perform comprehensive code reviews. Shelf makes configuration files management, git commits messages and code reviews effortless.

Features

• Track/Untrack/List configuration files from anywhere in your file system recursively
• AI-powered git commit/review generation with multiple providers:
  • Google Gemini
  • Anthropic Claude
  • Groq
  • OpenAI
  • Xai grok
  • Ollama (local)
• Git hooks integration for automatic commit message generation

Installation

To install Shelf, you need to have Rust and Cargo installed on your system. If you don't have them, you can install them from rustup.rs.

Once you have Rust and Cargo installed, you can build and install Shelf using the following command:

cargo install --path .

Usage

Shelf provides commands for both dotfile management and git integration:

Configuration files Management

# Add a new dotfile to track
shelf bo tarck ~/.bashrc

# List all tracked dotfiles
shelf bo list

# Remove a dotfile from tracking
shelf bo untarck ~/.bashrc

# Interactive selection of dotfiles to track
shelf bo suggest -i

# Show help
shelf --help

Each command can be run with -h or --help for more information.

Git AI Integration

The ai subcommand provides AI-powered features:

# Configure AI provider
shelf ai config set provider openai
shelf ai config set openai_api_key "your-api-key"

# Use specific provider for one commit
shelf ai commit -p openai

# List current configuration
shelf ai config list

The AI-powered features support diffrent AI providers:

• Google Gemini: Cloud-based using Gemini models
• Groq (default): GroqCloud-based models
• OpenAI: Cloud-based using GPT models
• Anthropic Claude: Cloud-based using Claude models
• XAI Grok: Cloud-based using Grok models
• Ollama: Local, privacy-friendly AI using models like Qwen

The git hook integrates seamlessly with your normal git workflow:

# Hook will automatically generate message if none provided
git commit

# Your message takes precedence
git commit -m "feat: your message"

# AI helps with amending
git commit --amend

Code Review with AI

Shelf can assist in code review by analyzing pull requests and providing AI-powered feedback:

# Review the current staged branch's changes
shelf ai review

The AI review provides:

• Code quality analysis
• Potential bug detection
• Style guide compliance checks
• Security vulnerability scanning
• Performance improvement suggestions
• Best practice recommendations

Shell Completion

Shelf supports generating shell completion scripts for various shells. You can generate these scripts using the completion subcommand:

# Generate completion script for Bash
shelf completion bash > shelf.bash

# Generate completion script for Zsh
shelf completion zsh > _shelf

# Generate completion script for Fish
shelf completion fish > shelf.fish

To use the completion scripts:

• For Bash, add the following line to your ~/.bashrc:

  source /path/to/shelf.bash
  

• For Zsh, place the _shelf file in ~/.zfunc, then add source ~/.zfunc/_shelf in ~/.zshrc.

• For Fish, place the shelf.fish file in ~/.config/fish/completions.

After setting up the completion script, restart your shell or source the respective configuration file to enable completions for the shelf command.

Configuration

AI settings are stored in ~/.config/shelf/ai.json (or $XDG_CONFIG_HOME/shelf/ai.json if set). You can configure:

• provider: AI provider to use (openai, anthropic, gemini, groq, xai and ollama)
• model: Ollama model to use (default: qwen2.5-coder)
• openai_api_key: OpenAI API key for GPT models

Example configuration:

{
  "provider": "ollama",
  "model": "qwen2.5-coder",
}

Contributing

Contributions are welcome! Please feel free tor submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.