route

Analyze project state and route requests to appropriate agents.

1|Updated Feb 13, 2026

Search Tags:#workflow #state management #routing #agent #orchestration #builder #planner

Ready to run

npx skills add https://github.com/phra/Antigravity-Discord-Bridge --skill route-phra

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: route
Source: https://github.com/phra/Antigravity-Discord-Bridge/tree/main/.specsmd/fire/agents/orchestrator/skills/route
Command: npx skills add https://github.com/phra/Antigravity-Discord-Bridge --skill route-phra

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines complex development workflows by automatically analyzing the project's current state and directing tasks to the most appropriate AI agent.

Core Features & Use Cases

Dynamic Routing: Intelligently routes user requests and ongoing tasks to the correct agent (e.g., Planner, Builder).
State Management: Reads and reconciles project state from state.yaml and the file system to ensure accurate decision-making.
Use Case: When a new feature request comes in, this Skill analyzes pending tasks, identifies if planning or direct building is needed, and seamlessly hands off the work to the relevant agent, ensuring efficient progress.

Quick Start

Initiate the routing process for the current project.

Frequently Asked Questions about route

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

FAQPage Schema

How does intelligent agent routing work for development workflows?▼

Intelligent agent routing analyzes your project's current state and file system to direct tasks to the appropriate AI agent, such as Planner or Builder. It ensures efficient progress by seamlessly handing off work based on context.

How do I automatically route feature requests to the correct AI agent?▼

To route feature requests, this Skill scans pending tasks and reconciles state from `state.yaml` to identify if planning or building is needed. It then automatically directs the request to the relevant agent for execution.

Do I need a state.yaml file for agent orchestration to function correctly?▼

Yes, accurate state management via `state.yaml` is required for effective agent orchestration. The Skill reads and reconciles project state from this file and the file system to ensure accurate routing decisions.

What is the best way to manage project state when orchestrating multiple AI agents?▼

The best way to manage project state is by maintaining accurate `state.yaml` files and file system intents. The Skill scans these to reconcile the current context and dynamically route work to the right agent.

Why does agent routing fail to direct tasks to my Builder agent?▼

Agent routing fails if the project state is inaccurate or the file system lacks proper intents and work-items. Effective orchestration requires precise state management and file system scanning to correctly route tasks.