setup

Configure project-specific AI review agents and generate a compound-engineering.local.md file.

5|1|Updated Aug 26, 2025
One-click install
npx skills add https://github.com/hollandkevint/thinkhaven --skill setup-hollandkevint
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: setup
Source: https://github.com/hollandkevint/thinkhaven/tree/main/.gemini/skills/setup
Command: npx skills add https://github.com/hollandkevint/thinkhaven --skill setup-hollandkevint

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the configuration of AI review agents for your project, ensuring that the right tools are used for code analysis and workflow execution.

Core Features & Use Cases

  • Automated Stack Detection: Intelligently identifies your project's technology stack (e.g., Rails, Python, TypeScript).
  • Customizable Agent Selection: Allows you to choose specific review areas like security, performance, and code simplicity.
  • Configuration File Generation: Automatically creates and updates a compound-engineering.local.md file with your chosen settings.

Quick Start

Run the setup skill to auto-configure review agents for your project.

Frequently Asked Questions about setup

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

FAQPage Schema
How do I configure AI review agents for a specific tech stack?

To configure AI review agents, this setup process auto-detects your project's technology stack and generates a `compound-engineering.local.md` file defining the necessary review agents for your workflows.

Can I customize code review depth to focus on security and performance?

Yes, you can customize code review depth by selecting specific focus areas like security, performance, and code simplicity during the agent configuration process to tailor the automated analysis.

What is automated stack detection for project setup?

Automated stack detection intelligently identifies your project's underlying frameworks, such as Rails, Python, or TypeScript, to automatically apply the most relevant AI code review configurations.

How do I generate configuration files for automated code review workflows?

You generate configuration files by running the setup process, which automatically creates and updates a `compound-engineering.local.md` file containing your defined `review_agents` and `plan_review_agents` settings.

Does the review agent setup work with Python and TypeScript projects?

Yes, the setup works with Python and TypeScript projects by intelligently auto-detecting the technology stack to apply appropriate AI code review agents without requiring manual environment configuration.

What is the best way to define plan review agents for devops automation?

The best way to define plan review agents is using this setup tool to generate a `compound-engineering.local.md` file, which establishes automated workflow configurations based on your detected stack.