adw-bootstrap

What problem does it solve?

This Skill automates the complex setup of AI Developer Workflows (ADWs) in any codebase, transforming a regular project into one where AI agents can programmatically plan, implement, test, and deploy features. It eliminates manual configuration, ensures best practices for agent orchestration, and provides structured observability, saving developers significant time and effort in setting up AI-driven development environments.

Core Features & Use Cases

• Intelligent Infrastructure Bootstrap: Analyzes your project structure and adapts ADW components (scripts, commands, observability) to fit existing conventions, supporting Python, TypeScript, Go, Rust, and polyglot projects.
• Progressive Enhancement: Supports minimal, enhanced, and scaled setups, allowing you to start simple and upgrade capabilities (e.g., SDK support, Git worktree isolation, GitHub integration) as project needs evolve, without losing customizations.
• Programmatic Agent Orchestration: Enables execution of prompts, slash commands, and multi-phase workflows (Plan → Implement → Test → Deploy) via CLI or SDK, with structured outputs in agents/{id}/ for debugging and tracking agent behavior.
• Use Case: A development team wants to integrate AI agents into their existing Python or TypeScript monorepo for automated feature development. This skill bootstraps the entire ADW infrastructure, including Git worktree isolation and GitHub integration, allowing agents to work in parallel on different features with full observability.

Quick Start

To set up AI Developer Workflows in your project, simply say: Set up AI Developer Workflows in this project. Claude will analyze your codebase and guide you through the setup process.