workflow-project-setup

Execute the canonical project-setup protocol to generate project artifacts.

9|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/lhpaul/ai-dev-framework-template --skill workflow-project-setup
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow-project-setup
Source: https://github.com/lhpaul/ai-dev-framework-template/tree/main/.codex/skills/workflow-project-setup
Command: npx skills add https://github.com/lhpaul/ai-dev-framework-template --skill workflow-project-setup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines bootstrapping a new project from the template by executing the canonical setup workflow and ensuring consistency with repository standards.

Core Features & Use Cases

  • Canonical protocol execution: Applies the documented project-setup protocol to initialize domains, repository structure, and architecture artifacts.
  • Documentation-driven: Reads and follows AGENTS.md and docs/workflow/setup/protocol.md to ensure compliant setup.
  • Reproducible bootstrap: Produces consistent project scaffolding across environments and AI agents.

Quick Start

Initialize a fresh project by executing the workflow setup for this repository.

Frequently Asked Questions about workflow-project-setup

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

FAQPage Schema
How do I bootstrap a new project from a repository template?

To bootstrap a new project, this Skill executes the canonical setup protocol defined in your repository's documentation to generate consistent project scaffolding and architecture artifacts.

What is a documentation-driven project setup protocol?

A documentation-driven project setup protocol is a workflow defined in files like AGENTS.md and protocol.md that standardizes repository initialization by reading and applying documented rules directly.

How do I ensure reproducible project scaffolding across different AI agents?

Reproducible project scaffolding across AI agents is achieved by treating the setup protocol as canonical, ensuring all agents read and execute the same documented workflow to produce identical artifacts.

Do I need a specific protocol file to initialize my project structure?

Yes, you need the protocol documented at docs/workflow/setup/protocol.md to initialize your project structure, as the Skill reads and applies this canonical file to generate the required artifacts.

What's the best way to standardize repository initialization across multiple environments?

Standardizing repository initialization requires a canonical setup workflow that applies documented protocols to generate consistent project domains and architecture artifacts across all environments.

Can I use this setup workflow to generate architecture artifacts for a new domain?

Yes, the setup workflow initializes new project domains and generates architecture artifacts by directly applying the documented project-setup protocol to your repository.