What is the difference between Lead and Teammate modes?

The Lead mode is responsible for planning, delegating tasks, and final integration review, while the Teammate mode focuses on TDD execution, implementation, and reporting status back to the Lead.

What happens if an AI teammate encounters an error?

The skill includes an autonomous failure recovery protocol: teammates will log the error, retry the approach twice, and if still blocked, they will notify the lead and move to the next available task.

How does this skill prevent merge conflicts between agents?

The workflow utilizes a strict file ownership model where the Team Lead assigns specific, non-overlapping files to each teammate, ensuring all work on a single feature branch remains isolated.

Does this skill support automated testing?

Yes, it mandates a TDD (Test Driven Development) approach for teammates and requires the Lead to run integration tests and code-reviewer sub-agents before merging any code.

Team Development Workflow

Name: Team Development Workflow
Author: onepunch-tk

byonepunch-tk

0•

Collaboration Tools

Orchestrates autonomous parallel development for AI agent teams using structured lead and teammate protocols.

The Team Development Workflow skill enables scalable, multi-agent collaboration within Claude Code by defining clear operational roles. It provides a 'Lead' mode for orchestration, planning, and review, and a 'Teammate' mode for execution and TDD. By enforcing strict file ownership and a unified feature-branch strategy, the skill allows multiple AI agents to work simultaneously without merge conflicts, ensuring high-quality output through automated code reviews and standardized failure recovery protocols.

Key Features

01Provides specialized protocols for Team Lead and Teammate roles

02Autonomous failure recovery and standardized reporting mechanisms

03Integrates TDD cycles and automated code review sub-agents

04Enforces strict file ownership to eliminate merge conflicts

050 GitHub stars

06Orchestrates parallel development for multiple autonomous AI agents

Use Cases

01Scaling complex feature development by spawning multiple concurrent agents

02Standardizing AI-to-AI communication and delegation in large codebases

03Implementing strict quality gates and review cycles for autonomous code generation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add onepunch-tk/claude-rr7-starterkit workflow-team

For use in Claude.ai and ChatGPT

Download Skill