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jpeggdev
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start

Coordinate AI agents to automate GitHub issue workflows through PR management.

Updated Feb 22, 2026
Search Tags:#tdd#development workflow#ai agents#issue tracking#code automation#pr management
One-click install
npx skills add https://github.com/jpeggdev/buildwithjpegg --skill start-jpeggdev
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: start
Source: https://github.com/jpeggdev/buildwithjpegg/tree/main/plugins/tribunal/skills/start
Command: npx skills add https://github.com/jpeggdev/buildwithjpegg --skill start-jpeggdev

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and agents (resource) and rubrics (resource) components.

What problem does it solve?

This Skill automates the entire software development lifecycle, from issue tracking to merged PRs, using a swarm of specialized AI agents.

Core Features & Use Cases

  • End-to-End Automation: Manages GitHub Issues from start to finish.
  • Multi-Agent Coordination: Employs specialized agents for research, planning, coding, and review.
  • Use Case: Automatically take a GitHub Issue, break it down into tasks, have agents research solutions, create a plan, implement code with TDD, and manage the PR lifecycle.

Quick Start

Use the start skill to begin work on GitHub issue number 123.

Frequently Asked Questions about start

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

FAQPage Schema
How do I automate GitHub issue tracking and PR management end to end?▼

You can automate GitHub issue tracking and PR management by orchestrating a swarm of specialized AI agents that research solutions, create plans, implement code with TDD, and handle the entire pull request lifecycle.

What is multi-agent coordination for software development workflows?▼

Multi-agent coordination for software development workflows involves deploying specialized AI agents across distinct phases like research, planning, design review, implementation, and PR management to fully automate the lifecycle.

Can I use AI agents to implement code with test-driven development?▼

Yes, you can use AI agents to implement code with test-driven development by integrating them into a multi-phase workflow that automatically handles research, planning, and coding before managing pull requests.

Does this development workflow automation support adversarial review and team mode?▼

Yes, this development workflow automation supports adversarial review and team mode coordination, allowing specialized agents to evaluate code robustly and integrate with external AI tools during the design review phase.

What's the best way to break down a GitHub issue into automated coding tasks?▼

The best way to break down a GitHub issue into automated coding tasks is using a coordinated agent swarm that processes the issue through structured research, planning, and implementation phases to manage the PR lifecycle.

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