execute-epic

Orchestrate parallel implementation, review, fix, and documentation agents for software epics.

Updated Mar 6, 2026
One-click install
npx skills add https://github.com/jeffss00/claude-shared --skill execute-epic-jeffss00
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: execute-epic
Source: https://github.com/jeffss00/claude-shared/tree/main/skills/execute-epic
Command: npx skills add https://github.com/jeffss00/claude-shared --skill execute-epic-jeffss00

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex process of orchestrating multiple AI agents to work in parallel on different parts of a large software development epic, ensuring efficient and coordinated implementation.

Core Features & Use Cases

  • Parallel Agent Execution: Spawns and manages independent agents for implementation, review, and documentation tasks.
  • Dependency Management: Handles sequential and parallel execution flows based on defined bean dependencies.
  • Safety Gates: Includes critical checks like file overlap detection to prevent conflicts before execution.
  • Use Case: Kick off the development of a new feature by providing an epic ID, and have specialized agents build, review, and document each component concurrently.

Quick Start

Execute the epic with the ID 'EPIC-12345'.

Frequently Asked Questions about execute-epic

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

FAQPage Schema
How do I orchestrate parallel agent execution for software development epics?

You orchestrate parallel agent execution by providing an epic ID to spawn independent agents for implementation, review, and documentation. The system manages these agents concurrently to coordinate complex development workflows safely.

How does file overlap detection work during parallel AI agent task execution?

File overlap detection works as a safety gate that checks for file conflicts before executing parallel tasks. It prevents agents from modifying the same files simultaneously, ensuring safe parallelization across distinct implementation, review, and fix workflows.

Can I manage complex dependency chains when running parallel development agents?

Yes, you can manage complex dependency chains by defining task dependencies. The system handles both sequential and parallel execution flows, ensuring dependent development tasks execute in the correct order while independent tasks run concurrently.

What is the best way to automate iterative code review and fix cycles for epics?

Automating iterative code review involves spawning dedicated review and fix agents that run through multiple cycles. The system handles iterative refinement automatically, only proceeding to final documentation and completion after all review cycles pass.

Do I need to define separate tasks for documentation when automating epic workflows?

No, you do not need to manually define documentation tasks. The system spawns a dedicated documentation agent that handles final documentation automatically after the implementation, review, and fix cycles are fully completed.

What limitations exist when parallelizing AI agents for large software epics?

A key limitation is file overlap; agents cannot safely modify the same files concurrently. Additionally, complex dependency chains between development tasks may force sequential execution, limiting parallelization benefits for tightly coupled epic components.