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dev-lead-routing

Routes development tasks to specialized AI agents based on language and framework.

1|Updated May 21, 2026
Search Tags:#automation#workflow#development#routing#agent#orchestration
One-click install
npx skills add https://github.com/hiddink-ai/hiddink-harness --skill dev-lead-routing-hiddink-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dev-lead-routing
Source: https://github.com/hiddink-ai/hiddink-harness/tree/main/templates/skills/dev-lead-routing
Command: npx skills add https://github.com/hiddink-ai/hiddink-harness --skill dev-lead-routing-hiddink-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates context fragmentation and agent conflicts by automatically routing development tasks to the most qualified language or framework expert.

Core Features & Use Cases

  • Automated Expert Selection: Maps file extensions and keywords to specialized agents (e.g., Go, Python, React, AWS).
  • Hybrid Execution: Coordinates Codex or Gemini for scaffolding while retaining Claude for high-quality reasoning and review.
  • Use Case: When a user requests a new feature involving a Python backend and a Vue frontend, this skill automatically triggers the appropriate backend and frontend experts in parallel to ensure consistent implementation.

Quick Start

Ask the agent to implement a new feature or perform a code review and the system will automatically route the request to the correct specialist.

Frequently Asked Questions about dev-lead-routing

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

FAQPage Schema
How do I route development tasks to specialized AI agents based on language and framework?▼

You can route development tasks by analyzing file extensions and user intent to automatically delegate implementation, refactoring, or debugging to the optimal expert agent for languages like Go, Python, and React.

How does multi-agent orchestration work for full-stack feature implementation?▼

Multi-agent orchestration triggers appropriate backend and frontend experts in parallel. When a user requests a feature involving a Python backend and Vue frontend, the system coordinates both experts simultaneously to ensure consistent implementation.

Can I use Claude for code review while using other agents for scaffolding?▼

Yes, hybrid execution coordinates Codex or Gemini for scaffolding tasks while retaining Claude for high-quality reasoning and code review. This ensures specialized agents handle implementation while Claude manages review.

Does automated expert selection eliminate context fragmentation and agent conflicts?▼

Automated expert selection eliminates context fragmentation and agent conflicts by mapping file extensions and keywords to specialized agents. This ensures the most qualified language or framework expert handles each specific task.

What's the best way to integrate external execution environments with wiki-based context for development?▼

Integrating external execution environments with wiki-based context ensures high-accuracy task fulfillment. The routing system analyzes user intent and leverages wiki context to delegate tasks to specialized agents accurately.

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