auto-orchestrator

Detect developer intents in natural language requests and route them to specialized agents.

1|Updated Jan 5, 2026
One-click install
npx skills add https://github.com/Rene-Kuhm/opencode-ohmyopencode-claude-configuracion --skill auto-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-orchestrator
Source: https://github.com/Rene-Kuhm/opencode-ohmyopencode-claude-configuracion/tree/main/skills/auto-orchestrator
Command: npx skills add https://github.com/Rene-Kuhm/opencode-ohmyopencode-claude-configuracion --skill auto-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Auto-orchestrator detects the type of development task and routes it to the specialized agent best suited to execute it, reducing manual handoffs.

Core Features & Use Cases

  • Intention detection and routing: identifies task type and selects the correct agent.
  • Efficient delegation: passes the task to the right sub-agent with appropriate context.
  • Universal applicability: suitable for any development request to speed delivery.

Quick Start

Provide a development task and let the system route it to the appropriate agent.

Frequently Asked Questions about auto-orchestrator

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

FAQPage Schema
How do I automate routing development tasks to specialized agents?

Automated routing of development tasks uses intention detection to parse natural language requests and delegate them to specialized sub-agents based on the identified task type, such as debugging or feature design.

What is intention detection for developer task delegation?

Intention detection for developer task delegation analyzes natural language requests to identify the specific development task type and automatically map it to the correct specialized agent for execution.

Can I use automated agent orchestration for general development requests?

Automated agent orchestration supports any general development request by routing it to the appropriate sub-agent, and includes a robust fallback to a general-purpose agent when a specific match is not found.

How do I route natural language debugging requests to the right agent?

Routing natural language debugging requests requires the orchestrator to detect the developer's intent and pass the task to the appropriate specialized sub-agent with the correct context for execution.

What is the best way to reduce manual handoffs between specialized development agents?

Reducing manual handoffs between specialized agents requires an orchestration layer that detects task types in natural language requests and performs contextual delegation to the correct sub-agent automatically.