rai-project-create

Collect project governance details and write six templates into governance/.

71|8|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/humansys/raise --skill rai-project-create-humansys
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rai-project-create
Source: https://github.com/humansys/raise/tree/main/packages/raise-cli/src/raise_cli/skills_base/rai-project-create
Command: npx skills add https://github.com/humansys/raise --skill rai-project-create-humansys

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides developers through greenfield project governance setup by collecting project identity, capabilities, constraints, and architecture, then populating six parser-compatible governance templates so the repository has consistent, machine-readable governance.

Core Features & Use Cases

  • Conversational collection: Collect identity, 3-5 core capabilities, quality guardrails, architecture, and branch strategy with adjustable ShuHaRi interaction levels.
  • Template writing: Produce vision.md, prd.md, guardrails.md, backlog.md, system-context.md, and system-design.md following strict parser contracts to ensure reliable graph extraction.
  • Verification & gating: Update .raise/manifest.yaml, run rai graph build, and verify extraction of 30+ governance nodes to pass the project creation gate.
  • Use case: Run after rai init on a greenfield repo to create validated governance and prepare the project for session-based work.

Quick Start

Run the skill after completing rai init to collect project details, write all governance documents, update the manifest, and build the graph to verify 30+ governance nodes.

Frequently Asked Questions about rai-project-create

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

FAQPage Schema
How do I bootstrap governance for a new greenfield project?

Project governance setup involves collecting project identity, requirements, and architecture to populate six governance templates like vision.md and prd.md, ensuring your repository has consistent, machine-readable governance documents.

What files are generated when setting up project governance?

Setting up project governance generates six files in the governance/ directory: vision.md, prd.md, guardrails.md, backlog.md, system-context.md, and system-design.md, all following strict parser contracts for reliable graph extraction.

Do I need to run rai init before configuring project governance?

Yes, you must run rai init first on your greenfield repository. This Skill applies afterward to collect project details, write governance documents, update .raise/manifest.yaml, and build the graph to verify 30+ governance nodes.

How does governance template generation ensure machine-readable project setup?

Governance template generation enforces parser contracts across all six documents so rai graph build can reliably extract 30+ governance nodes, passing the project creation gate and preparing the repository for session-based work.

What's the best way to configure quality constraints and branch strategy for a new repository?

The best way is using a conversational collection process with adjustable ShuHaRi interaction levels to gather quality guardrails and branch configuration, which then updates .raise/manifest.yaml with the validated branch settings.