Rubber Ducky

Turn natural language into bash commands without leaving your terminal.

Rubber Ducky is an inline terminal companion that transforms your prompts into runnable shell commands. Paste multi-line context, get smart suggestions, and execute commands instantly.

Quick Start

# Install globally (recommended)
uv tool install rubber-ducky

# Run interactively
ducky

# Quick one-shot
ducky "list all files larger than 10MB in current directory"

# From CLI with options
ducky --model qwen3
ducky --directory src
ducky --local

# Or use uvx (requires -- separator)
uvx rubber-ducky -- --model qwen3

Both ducky and rubber-ducky executables work identically.

Requirements

• Ollama (running locally or using cloud models)
• Python 3.10+

Features

• Natural to Shell - Describe what you want, get the bash command
• Model Flexibility - Switch between local Ollama models and cloud models
• Crumbs - Save and reuse commands with argument substitution
• Piped Input - Pipe output from other commands directly to ducky
• Interactive REPL - Rich terminal experience with history and shortcuts
• Code Context - Preload project code for AI awareness
• Clipboard Support - Copy commands across macOS, Windows, and Linux

Key Concepts

REPL (Interactive Mode)

Launch ducky to start an inline session:

ducky

Key controls:

• Enter - Submit prompt
• Ctrl+J - Insert newline (for multi-line prompts)
• Empty Enter - Rerun last command or explain shell output
• Ctrl+R - Re-run last suggested command
• Ctrl+S - Copy last command to clipboard
• !<cmd> - Run shell command immediately
• Arrow keys - Browse history
• Ctrl+D - Exit

Models

Rubber Ducky supports both local and cloud models:

• /model - Interactive model selection
• /local - List local models (localhost:11434)
• /cloud - List cloud models (ollama.com)
• Last used model is saved automatically

Startup flags:

• --local / -l - Use local Ollama with qwen3 default
• --model <name> / -m - Specify model directly

Crumbs

Crumbs are saved command shortcuts. Store frequently-used commands or complex workflows:

>> How do I list all running Python processes?
...
Suggested: ps aux | grep python | grep -v grep
>> /crumb pyprocs
Saved crumb 'pyprocs'!

Invoke crumb:

>> pyprocs
Crumb: pyprocs
Command: ps aux | grep python | grep -v grep
...

With argument substitution:

# Crumb command: git worktree add "../$var-$other" -b $var3
ducky at feature backend develop
# Executes: git worktree add "../feature-backend" -b develop

Usage Guide

Interactive Mode

Default mode. Perfect for development sessions.

ducky

Load code context for better suggestions:

ducky --directory src

Single-Shot Mode

Get one command suggestion and exit.

ducky "find all TODO comments in src/"

Copy to clipboard automatically:

ducky "build and run tests"

Piped Input

Process text from other commands:

cat error.log | ducky "what's wrong here?"
git diff | ducky "summarize these changes"

Run Without Confirmation

Auto-execute suggested commands:

ducky --yolo "restart the nginx service"

Crumbs Quick Reference

Argument Substitution:

Crumbs support ${VAR} and $var placeholder styles:

# Create crumb with placeholders
git worktree add "../$var-$other" -b $var3

# Invoke with arguments
ducky at feature backend develop

Both styles are interchangeable.

Command Reference

Inline Commands

CLI Flags

Tips & Tricks

Efficient Workflows

# Preload project context
ducky --directory src

# Reuse complex commands with crumbs
docker ps | ducky "kill all containers"
>> /crumb killall

# Chain commands
!ls -la
ducksy "find large files"

# Use history
[↑] Recall previous prompts
[↓] Navigate command history

Keyboard Shortcuts Reference

Crumb Patterns

# Save after complex command
>> docker-compose up -d && wait && docker-compose logs
>> /crumb start-logs

# Manually add with arguments
>> /crumb add deploy-prod docker build -t app:latest && docker push app:latest

# Use for common workflows
>> ls -la
find . -type f -name "*.py" | xargs wc -l
>> /crumb count-py

Storage

Rubber Ducky stores data in ~/.ducky/:

Delete the entire directory for a fresh start.

Development

# Clone and setup
git clone <repo>
cd ducky
uv sync

# Run
uv run ducky --help
uv run ducky

# Lint
uv run ruff check .

License

MIT © 2023 Parth Sareen