flow-define

Coordinate Codex, Gemini, and Claude to define feature requirements.

4.0k|369|Updated Jan 15, 2026

Search Tags:#requirements #discovery #orchestration #product-management #define #multi-ai

Ready to run

npx skills add https://github.com/nyldn/claude-octopus --skill flow-define

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: flow-define
Source: https://github.com/nyldn/claude-octopus/tree/main/skills/flow-define
Command: npx skills add https://github.com/nyldn/claude-octopus --skill flow-define

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Automates the convergent Define phase by orchestrating Codex, Gemini, and Claude to produce a clear, comprehensive requirements definition after discovery.

Core Features & Use Cases

Orchestrates Codex (technical requirements), Gemini (business context), and Claude (synthesis) to generate a cohesive problem definition.
Automatically integrates prior discovery findings and user goals to align scope and constraints.
Enforces a structured execution contract with mandatory steps and visual progress indicators for governance.
Produces a synthesis artifact that can be handed to downstream tangle/implementation workflows.

Quick Start

Run the define workflow by calling the orchestration script with your clarification request.

Frequently Asked Questions about flow-define

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

FAQPage Schema

How do I define product requirements using multiple AI models?▼

Multi-AI requirements definition coordinates Codex for technical constraints, Gemini for business context, and Claude for synthesis, producing a cohesive problem definition artifact for downstream implementation.

What is the best way to align stakeholder perspectives during feature scoping?▼

Feature scoping aligns stakeholder perspectives by orchestrating multiple AI models to automatically integrate prior discovery findings, identify constraints, and analyze edge cases across both technical and business dimensions.

How does multi-AI orchestration work for requirements discovery and definition?▼

Multi-AI orchestration works by distributing tasks across Codex, Gemini, and Claude through a structured execution contract, enforcing mandatory steps with visual progress indicators to ensure comprehensive problem definition.

Can I integrate prior user goals and discovery findings into a structured requirements definition?▼

Yes, the requirements definition process automatically integrates prior discovery findings and user goals to align scope and constraints, ensuring the final synthesis artifact reflects established project context.

Do I need prior discovery outputs before running a multi-AI requirements definition workflow?▼

Yes, prior discovery outputs are required as input. The workflow automates the convergent Define phase by building upon existing discovery findings and user goals to produce a comprehensive synthesis file.

What are the limitations of using AI orchestration for product management requirements?▼

AI orchestration for product management requirements is limited to producing a synthesis artifact for downstream workflows. It does not execute implementation itself, relying entirely on the quality of prior discovery inputs and structured execution contracts.