startproject

Coordinate multi-agent project kickoff across Gemini, Codex, and Claude.

17|5|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/gaebalai/claude-code-orchestrator --skill startproject-gaebalai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: startproject
Source: https://github.com/gaebalai/claude-code-orchestrator/tree/main/.claude/skills/startproject
Command: npx skills add https://github.com/gaebalai/claude-code-orchestrator --skill startproject-gaebalai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrates cross-agent collaboration to start a project and ensure quality via multi-session reviews across Gemini, Codex, and Claude.

Core Features & Use Cases

  • Phase-based multi-agent project kickoff from research to review
  • Automatic CLAUDE.md updates to persist context across sessions
  • Task creation workflow via TodoWrite to organize implementation work
  • Structured phase gates and reviewer roles for quality assurance

Quick Start

Initiate a new project using the startproject workflow and guide Gemini, Codex, and CLAUDE through all six phases from research to multi-session review.

Frequently Asked Questions about startproject

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

FAQPage Schema
How do I coordinate a multi-agent project kickoff across different AI coding assistants?▼

Multi-agent project kickoff is orchestrated by coordinating Gemini, Codex, and Claude through structured phases from research to review, ensuring cross-agent collaboration quality via multi-session reviews and phase gates.

What is the best way to persist project context across multiple AI coding sessions?▼

Persisting project context across sessions requires automatic CLAUDE.md updates that record phase progress and decisions, allowing different agents to resume work with full historical awareness.

Can I use this workflow to generate implementation tasks for new feature initiatives?▼

Yes, the workflow supports new feature initiatives and research-driven development by using TodoWrite to generate structured tasks and organize implementation work across configured phase gates.

How does a multi-agent workflow handle post-implementation reviews?▼

Post-implementation reviews in a multi-agent workflow are handled through structured phase gates and reviewer roles that enforce quality assurance across sessions before a project phase is marked complete.

Does multi-agent orchestration work without predefined dependencies?▼

Yes, this multi-agent orchestration operates independently without external dependencies, running entirely on the coordination logic between Gemini, Codex, and Claude to manage the project lifecycle.

Why use phase gates instead of a continuous workflow for cross-agent development?▼

Phase gates enforce quality assurance by requiring multi-session reviews at specific milestones, preventing error propagation across agents compared to a continuous workflow lacking structured validation checkpoints.