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JoshuaOliphant
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adw-bootstrap

Bootstrap AI Developer Workflows infrastructure in any codebase with Plan-Implement-Test-Deploy cycles.

Updated Aug 27, 2026
Search Tags:#ci/cd#software development#github#agent orchestration#ai developer workflows#adw#code automation#bootstrap
One-click install
npx skills add https://github.com/JoshuaOliphant/claude_code_files --skill adw-bootstrap
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: adw-bootstrap
Source: https://github.com/JoshuaOliphant/claude_code_files/tree/main/skills/adw-bootstrap
Command: npx skills add https://github.com/JoshuaOliphant/claude_code_files --skill adw-bootstrap

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pydantic, python-dotenv, click, rich, claude-code-sdk, anyio, gh CLI, and includes scripts (resource) and references (resource) components.

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.

Frequently Asked Questions about adw-bootstrap

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up AI agent workflows in an existing codebase?▼

AI developer workflows automate the setup of agent-driven development infrastructure in your project. This Skill analyzes your codebase structure and installs orchestration scripts, templates, and observability components that let agents plan, implement, test, and deploy features programmatically across Python, TypeScript, Go, Rust, and polyglot projects.

Can I bootstrap ADW infrastructure without overwriting my project's existing configuration?▼

Yes. The Skill adapts to your project's conventions and supports progressive enhancement through minimal, enhanced, and scaled setup phases. Customizations are preserved during upgrades, so you can start simple and add capabilities like SDK support, Git worktree isolation, and GitHub integration as needs evolve.

What does programmatic agent orchestration mean in CI/CD workflows?▼

Programmatic agent orchestration enables execution of multi-phase workflows—Plan, Implement, Test, Deploy—via CLI or SDK with structured outputs stored in `agents/{id}/` directories. This provides full observability of agent behavior, parallel execution isolation via Git worktrees, and debugging capabilities for automated development cycles.

Does this work with GitHub and existing development workflows?▼

Yes. The Skill integrates with GitHub through the `gh` CLI and bootstraps infrastructure that supports GitHub-native CI/CD integration. It analyzes your project structure and applies components across diverse workflows, enabling agents to work in parallel on features with full traceability and integration with existing tools.

What dependencies do I need to run AI developer workflows?▼

The Skill requires Python libraries (pydantic, python-dotenv, click, rich, claude-code-sdk, anyio) and the `gh` CLI tool. These enable configuration management, CLI interaction, rich output formatting, SDK-based agent calls, and GitHub integration for orchestrating agent-driven development in your project.

Can I use agent orchestration in polyglot projects?▼

Yes. The Skill intelligently analyzes project structure and adapts ADW components to fit existing conventions across Python, TypeScript, Go, Rust, and mixed-language codebases. This ensures agent workflows integrate seamlessly regardless of your tech stack composition.

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