orchestration

Orchestrate multi-agent CC3 workflows with PRD iterations and session ledgers.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/connred/regi-orchestration --skill orchestration-connred
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: orchestration
Source: https://github.com/connred/regi-orchestration/tree/main
Command: npx skills add https://github.com/connred/regi-orchestration --skill orchestration-connred

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill provides a robust framework to orchestrate multi-agent workflows using the CC3 system. It enables complex software projects to be planned, decomposed, and executed by swarms of named agents, while preserving governance and learnings across sessions.

Core Features & Use Cases

  • Adaptive routing: directs simple tasks to direct execution and complex tasks to PRD iterations with agent swarms.
  • Pattern-driven execution: supports TaskCreate, fan-out, parallel work, and iterative PRDs.
  • Governance & learnings: enforces CC3 rules, stores learnings to PostgreSQL, and maintains session ledgers for reproducibility.
  • Ideal use cases: coordinating large feature rollouts, code reviews, security analyses, and documentation generation.

Quick Start

Start a CC3 session, spawn named agents as tasks come in, and observe automated synthesis of results and learnings.

Frequently Asked Questions about orchestration

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

FAQPage Schema
What is multi-agent orchestration for complex software projects?

Multi-agent orchestration coordinates swarms of named agents to plan, decompose, and execute complex software tasks. It uses adaptive routing to direct simple work to direct execution and complex work to iterative PRD workflows.

How do I coordinate a large feature rollout with named agents?

To coordinate a feature rollout, spawn named agents within a session to handle task decomposition and fan-out execution. The system automatically synthesizes results and enforces governance throughout the workflow.

When should I use swarm-driven workflows for task execution?

Use swarm-driven workflows when tasks are too complex for direct execution and require iterative PRDs, parallel work, or pattern-driven execution like TaskCreate. Simple tasks bypass the swarm and execute immediately.

Does multi-agent orchestration preserve learnings and session history?

Yes, orchestration preserves learnings by storing them to PostgreSQL and maintaining session ledgers. This enforces governance rules and ensures reproducibility across multiple agent sessions.

Can I use this orchestration framework for code reviews and security analysis?

Yes, adaptive agent orchestration is ideal for coordinating code reviews, security analyses, and documentation generation. It applies swarm-driven workflows and governance to deliver traceable outcomes.