Electrobun Teams

Orchestrate sequential UI and backend agents for Electrobun feature development.

366|65|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/milady-ai/milady --skill electrobun-teams
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Electrobun Teams
Source: https://github.com/milady-ai/milady/tree/main/.claude/plugins/electrobun-dev/skills/electrobun-teams
Command: npx skills add https://github.com/milady-ai/milady --skill electrobun-teams

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines the development of complex features by orchestrating multiple AI agents in a sequential pipeline, ensuring a cohesive and efficient development process.

Core Features & Use Cases

  • Two-Agent Pipeline: Manages a UI agent for frontend design and an backend agent for business logic implementation.
  • Contract Handoff: Defines a clear RPC contract for seamless communication between agents.
  • Use Case: Developing a new user interface component for an application, where one agent designs the UI elements and defines the API, and another agent implements the backend logic to support those UI elements and API calls.

Quick Start

Enable agent teams and start Claude Code to begin orchestrating feature development.

Frequently Asked Questions about Electrobun Teams

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

FAQPage Schema
How do I orchestrate multi-agent feature development for Electrobun?

Multi-agent feature development for Electrobun is orchestrated by defining a UI agent for frontend and a backend agent for backend implementation, managing their sequential execution and RPC contract handoff.

How does an RPC contract handoff work between UI and backend agents?

An RPC contract handoff works by having the UI agent design the frontend elements and define the API, which is then passed to the backend agent to implement the supporting business logic and API calls.

Do I need a specific environment variable to enable agent teams in Claude Code?

Yes, you need to set the CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1 environment variable to enable agent teams and start orchestrating sequential feature development in Claude Code.

What is the best way to separate frontend and backend concerns during AI feature development?

The best way to separate concerns during AI feature development is using a two-agent pipeline, where a dedicated UI agent handles frontend design and a backend agent manages business logic implementation.

Can I use this multi-agent orchestration approach for complex application features?

Yes, this multi-agent orchestration streamlines the development of complex features by ensuring a cohesive pipeline where the UI agent defines the interface and the backend agent implements the supporting logic.