dt:init

Detect project stacks and generate AI configuration files and documentation.

1|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/adzcsx2/dev-tools-skills --skill dt-init
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dt:init
Source: https://github.com/adzcsx2/dev-tools-skills/tree/main/skills/init
Command: npx skills add https://github.com/adzcsx2/dev-tools-skills --skill dt-init

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires codegraph, and includes scripts (resource) and references (resource) components.

What problem does it solve?

The Skill automates the initialization of AI project environments, simplifying the setup process across various programming stacks.

Core Features & Use Cases

  • Project Initialization: Automatically detects project stacks and configures AI-related files and hooks.
  • Config File Generation: Generates CLAUDE.md, AGENT.md, and Copilot configurations.
  • Documentation Setup: Organizes documentation in /docs with standard categories.
  • Use Case: When starting a new project or updating an existing one to integrate AI tools.

Quick Start

Initialize a new AI project environment with dt:init --all.

Frequently Asked Questions about dt:init

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

FAQPage Schema
How do I initialize an AI project environment across different programming stacks?

To initialize an AI project environment, you run `dt:init --all` to automatically detect project stacks and configure AI-related files and hooks for technologies like Android, Flutter, Web, Python, and Java.

What configuration files are generated when setting up AI tools for a new project?

Setting up AI tools generates configuration files including `CLAUDE.md`, `AGENT.md`, and Copilot configurations to define AI behavior and instructions within your project environment.

Does AI project initialization work with both Android and Flutter development stacks?

Yes, AI project initialization works with diverse programming stacks including Android, Flutter, Web, Python, and Java by detecting the specific stack and applying appropriate configurations.

How is project documentation organized during AI environment setup?

During AI environment setup, documentation is organized within a `/docs` directory using standard categories to ensure consistent structure and easy reference for your project.

Do I need specific dependencies installed to generate AI configuration files?

Yes, you need the `codegraph` dependency installed to successfully execute project initialization and generate the required AI configuration files and project hooks.

Can I update an existing project to integrate AI tools instead of starting a new one?

Yes, you can update an existing project to integrate AI tools by running the initialization process, which detects current stacks and applies necessary configurations and documentation structures.