agent-orchestration

Name: agent-orchestration
Availability: InStock
Author: vuxsoul-ui

Coordinate sub-agents to spawn, monitor, and manage multi-step prompt workflows.

Updated Mar 1, 2026

Search Tags:#workflow #agent #orchestration #prompts #tracking #prompt-engineering

Ready to run

npx skills add https://github.com/vuxsoul-ui/catclash --skill agent-orchestration-vuxsoul-ui

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-orchestration
Source: https://github.com/vuxsoul-ui/catclash/tree/main/skills/agent-orchestration
Command: npx skills add https://github.com/vuxsoul-ui/catclash --skill agent-orchestration-vuxsoul-ui

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prompt quality and model behavior suffer when prompts are unclear and orchestration is manual. This Skill provides a framework to spawn, coordinate, and manage sub-agents, track their progress, and learn from outcomes to improve future prompts across multi-step workflows.

Core Features & Use Cases

Agent orchestration: spawn, route, and manage sub-agents across layered prompts for complex tasks.
Lifecycle tracking: monitor running agents, timeouts, and completions with a centralized ledger.
Learning loop: capture outcomes and apply learnings to future prompts for higher quality results.
Use Case: Orchestrate a product brief by delegating research, drafting, and review agents and aggregating the final output.

Quick Start

Spawn and coordinate sub-agents to execute a multi-step prompt workflow.

Frequently Asked Questions about agent-orchestration

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

FAQPage Schema

How do I coordinate sub-agents for multi-step prompt workflows?▼

Sub-agent orchestration coordinates sub-agents to spawn, monitor, and manage multi-step prompt workflows. It handles prompt choreography, agent lifecycle tracking, and applies deterministic execution to automate complex layered tasks.

What is agent lifecycle tracking and how does it manage running agents?▼

Agent lifecycle tracking monitors running sub-agents, timeouts, and completions using a centralized ledger. It ensures deterministic execution across multi-step prompt choreography by providing real-time visibility into each agent's status within the workflow.

Can I use agent orchestration to automate research and drafting tasks?▼

Yes, agent orchestration automates tasks like product brief generation by delegating research, drafting, and review to sub-agents. It spawns and routes these agents across layered prompts, then aggregates the final output.

How does the learning loop improve future prompt engineering outcomes?▼

The learning loop captures outcomes from completed sub-agents and applies these learnings to future prompts. This reporting mechanism continuously improves prompt quality and model behavior across subsequent multi-step workflow executions.

What is the best way to route sub-agents across layered prompts?▼

The best way to route sub-agents across layered prompts is using an orchestration framework that supports deterministic execution and context-rich prompts. This ensures proper choreography and centralized lifecycle tracking for each agent.

Do I need a centralized ledger to track multi-step prompt workflows?▼

A centralized ledger is required to track multi-step prompt workflows effectively. It monitors running agents, manages timeouts, and records completions, ensuring deterministic execution and providing data for the outcome learning loop.