vat-example-cat-agents

Coordinate Claude Code multi-agent cat workflows with sequencing, data handoffs, and retries.

2|2|Updated Dec 27, 2025

Search Tags:#workflow #multi-agent #orchestration #validators #HITL #cat-agents

Ready to run

npx skills add https://github.com/jdutton/vibe-agent-toolkit --skill vat-example-cat-agents

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: vat-example-cat-agents
Source: https://github.com/jdutton/vibe-agent-toolkit/tree/main/packages/vat-example-cat-agents/resources/skills
Command: npx skills add https://github.com/jdutton/vibe-agent-toolkit --skill vat-example-cat-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinates Claude Code workflows to orchestrate multiple cat-related agents (image/text analysis, naming, haiku, breed advice), handling phase transitions, retries, and optional human approvals.

Core Features & Use Cases

Multi-agent orchestration across cat-related tasks (analyze, generate, validate)
Phase-aware workflow control with gathering, recommendation, and selection stages
Retry loops and optional HITL (human-in-the-loop) approvals for safety

Quick Start

Provide an initial scenario and allow Claude Code to orchestrate agent selection, data handoffs, and retry logic.

Frequently Asked Questions about vat-example-cat-agents

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

FAQPage Schema

How do I orchestrate multi-agent workflows with phase transitions and retries?▼

Multi-agent orchestration coordinates sequential agents by managing state, data handoffs, and retry loops. This ensures clear phase transitions between gathering, recommendation, and selection stages for complex task pipelines.

Can I add human-in-the-loop approvals to a multi-agent workflow pipeline?▼

Human-in-the-loop approvals are supported natively. The orchestration rules allow you to insert optional HITL validation gates, enabling manual review and safety checks before an agent proceeds to the next phase.

How do I simulate multi-agent orchestration during development without live agents?▼

Mockable modes simulate agents during development. This allows you to test orchestration rules, state management, and phase transitions locally without running the full live agent pipeline.

What is the best way to coordinate data handoffs between multiple analysis agents?▼

Explicit state management coordinates data handoffs between agents. By defining phase-aware workflow control, you ensure outputs from analysis agents correctly sequence into recommendation and generation stages.

Does this multi-agent orchestration support both text and image analysis tasks?▼

Multi-agent orchestration supports both image and text analysis. It coordinates these tasks alongside naming, haiku generation, and breed recommendations within a single end-to-end pipeline.

When should I use explicit orchestration rules for multi-agent sequencing?▼

Explicit orchestration rules are needed when managing complex pipelines with retries and validation loops. They provide the state management required to safely coordinate multiple agents across distinct phase transitions.