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AI-powered research, planning, and task management CLI tool

Project description

Shotgun

Spec-Driven Development for AI Code Generation

Shotgun is a CLI tool that turns work with AI code-gen tools from "I want to build X" into: research → specs → plans → tasks → implementation. It reads your entire codebase, coordinates AI agents to do the heavy lifting, and exports clean artifacts in the agents.md format so your code-gen tools actually know what they're building.

🌐 Learn more at shotgun.sh

Features

📊 Complete Codebase Understanding

Before writing a single line, Shotgun reads all of it. Your patterns. Your dependencies. Your technical debt. Whether you're adding features, onboarding devs, planning migrations, or refactoring - Shotgun knows what you're working with.

🔄 Five Modes. One Journey. Zero Gaps.

Research (what exists) → Specify (what to build) → Plan (how to build) → Tasks (break it down) → Export (to any tool)

Not another chatbot. A complete workflow where each mode feeds the next.

➡️ Export to agents.md

Outputs plug into many code-generation tools including Codex, Cursor, Warp, Devin, opencode, Jules, and more.

📝 Specs That Don't Die in Slack

Every research finding, every architectural decision, every "here's why we didn't use that library" - captured as markdown in your repo. Version controlled. Searchable.

Installation

Using pipx (Recommended)

pipx install shotgun-sh

Why pipx? It installs Shotgun in an isolated environment, preventing dependency conflicts with your other Python projects.

Using pip

pip install shotgun-sh

Quick Start

# Research your codebase or a topic
shotgun research "What is our authentication flow?"

# Generate specifications
shotgun spec "Add OAuth2 authentication"

# Create an implementation plan
shotgun plan "Build user dashboard"

# Break down into tasks
shotgun tasks "Implement payment system"

# Export to agents.md format for your code-gen tools
shotgun export

Support

Have questions? Join our community on Discord


License: MIT Python: 3.11+

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