startproject

Analyze codebases with agent teams to generate project briefs and implementation plans.

1|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/arugo11/sit-copilot --skill startproject-arugo11
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: startproject
Source: https://github.com/arugo11/sit-copilot/tree/main/.claude/skills/startproject
Command: npx skills add https://github.com/arugo11/sit-copilot --skill startproject-arugo11

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the initial planning phase of a new project or feature by leveraging multi-agent AI collaboration, ensuring a robust understanding of the codebase and a well-defined plan before implementation begins.

Core Features & Use Cases

  • Codebase Understanding: Utilizes large context models (Gemini 1M) to analyze existing codebases.
  • Collaborative Research & Design: Employs agent teams (Researcher, Architect) for parallel investigation and architectural planning.
  • Plan Synthesis & Approval: Consolidates findings into a clear project brief and implementation plan for user approval.
  • Use Case: When starting a new feature, use this Skill to have AI agents analyze the current project structure, research necessary libraries, design the architecture, and present a detailed plan for your review.

Quick Start

Initiate a new project plan for the 'user-authentication' feature.

Frequently Asked Questions about startproject

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

FAQPage Schema
How do I create an implementation plan before starting a new software feature?

To create an implementation plan, this Skill orchestrates multi-agent AI collaboration to analyze your codebase, gather requirements, and generate a comprehensive project brief for your approval before development begins.

Can AI agents analyze my existing codebase for architecture design?

Yes, AI agents can analyze your existing codebase for architecture design by leveraging large context models to understand the project structure and synthesize findings into a detailed architectural plan.

What is multi-agent AI collaboration for project kickoff?

Multi-agent AI collaboration for project kickoff utilizes specialized agents like Researcher and Architect to perform parallel investigation and design, ensuring a robust understanding of requirements before implementation.

How do I use large context models for codebase analysis during project planning?

You use large context models for codebase analysis by feeding your existing project structure into the Skill, which then processes the context to inform the generated implementation plan and project brief.

Does this project planning approach require dependencies or specific environments?

No specific dependencies are required to use this project planning approach, as the Skill operates independently to orchestrate agent teams and large context models for initial project research and design.

What is the best way to research necessary libraries for a new feature?

The best way to research necessary libraries is using the built-in Researcher agent, which conducts parallel investigation during the planning phase to inform the final implementation plan presented for your approval.