project-orchestration

Orchestrate multi-agent feature development workflows across an 8-stage delivery process.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/rawadghz/recipe-ms --skill project-orchestration-rawadghz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: project-orchestration
Source: https://github.com/rawadghz/recipe-ms/tree/main/.opencode/skill/project-orchestration
Command: npx skills add https://github.com/rawadghz/recipe-ms --skill project-orchestration-rawadghz

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines complex software development by orchestrating multi-agent workflows, managing context handoffs, and tracking progress through defined stages.

Core Features & Use Cases

  • Multi-Agent Coordination: Manages communication and context sharing between specialized AI agents.
  • Workflow Management: Implements an 8-stage feature delivery process from architecture to release.
  • Use Case: Automate the end-to-end development of a new feature by having planning agents define architecture, map user stories, break down tasks, and coordinate coding agents.

Quick Start

Use the project orchestration skill to initialize the 8-stage workflow for the 'auth-system' feature.

Frequently Asked Questions about project-orchestration

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

FAQPage Schema
How do I coordinate multiple AI agents for software development?

Multi-agent coordination is managed by defining specialized AI agents, handling context handoffs between them, and tracking their progress through defined development stages. This ensures seamless communication and context sharing throughout the feature delivery process.

What is an 8-stage workflow for feature development?

An 8-stage feature delivery workflow is a comprehensive process that guides development from architecture decomposition to release and learning. It systematically maps user stories, breaks down tasks, and coordinates coding agents to automate end-to-end delivery.

How do I manage context handoff between AI agents?

Context handoff between AI agents is managed using lightweight context indexing. This technique enables efficient communication by passing relevant planning and architectural data directly to downstream coding agents without losing fidelity.

Can I automate end-to-end feature delivery with planning agents?

Yes, you can automate end-to-end feature delivery by using planning agents to define architecture, map user stories, and break down tasks. These agents then coordinate with coding agents to execute the development stages automatically.

When do I need multi-agent orchestration for software engineering?

Multi-agent orchestration is needed when streamlining complex software development workflows. It solves the problem of managing communication and context sharing across specialized AI agents required for comprehensive feature delivery.