project-setup

Analyze repository structure, detect tech stack, and generate architecture documentation with tooling configuration.

2|Updated Oct 1, 2024
One-click install
npx skills add https://github.com/ZeiZel/dotfiles --skill project-setup-zeizel
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-setup
Source: https://github.com/ZeiZel/dotfiles/tree/main/.claude/skills/project-setup
Command: npx skills add https://github.com/ZeiZel/dotfiles --skill project-setup-zeizel

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The project onboarding process for AI-driven development is complex and error-prone; this skill provides a structured, interactive wizard that orchestrates documentation, tooling setup, and agent-context generation to accelerate startup and reduce misconfiguration.

Core Features & Use Cases

  • Interactive discovery: analyzes your repo, detects tech stack, and asks clarifying questions to tailor the setup.
  • End-to-end tooling integration: automatically configures Beads, Gastown, spec-kit, and Repomix, producing a ready-to-run project scaffold.
  • Documentation generation: creates architecture, domain specs, and project briefs to align teams and stakeholders.

Quick Start

Run /project-setup to begin the end-to-end AI-assisted project onboarding workflow.

Frequently Asked Questions about project-setup

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

FAQPage Schema
How do I set up project onboarding for AI-assisted development?

AI-assisted project onboarding is configured by analyzing your repository structure, detecting the tech stack, and prompting for clarifications to generate architecture documentation and tooling setup. Running /project-setup initiates this end-to-end interactive workflow.

What's the best way to generate architecture and domain documentation for my repository?

Generating architecture and domain documentation is handled by an interactive discovery wizard that analyzes your repository and detects your tech stack. It produces project briefs, domain specs, and architecture docs to align teams and stakeholders.

Can I configure Repomix and spec-kit integration automatically during project setup?

Configuring Repomix and spec-kit integration is supported automatically during the end-to-end onboarding workflow. The setup also configures Beads and Gastown, producing a ready-to-run project scaffold without manual tooling configuration.

Do I need an existing repository to generate AI agent context and project scaffolds?

An existing repository is required for the interactive discovery process to analyze your repo structure and detect your tech stack. This analysis enables the workflow to tailor the generated documentation, agent context, and project scaffold to your specific setup.

Why does AI-driven project onboarding require clarifying questions during setup?

Clarifying questions during AI-driven project onboarding are prompted to tailor the setup specifically to your project context. This interactive discovery ensures the generated documentation and tooling configuration accurately match your detected tech stack and requirements.

What limitations exist when configuring AI-assisted project scaffolds end-to-end?

Limitations of AI-assisted project scaffolding include reliance on accurate repository structure detection and user-provided clarifications for correct tech stack configuration. Misconfigured inputs during the interactive discovery phase can result in improperly tailored documentation.