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workflow

Enforce a structured plan-to-pull-request workflow for AI-generated code changes.

14|2|Updated Apr 6, 2026
Search Tags:#code review#workflow automation#git workflow#issue tracking#parallel development#ai orchestration#pull request management
One-click install
npx skills add https://github.com/syedsaif666/LGTM --skill workflow-syedsaif666
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: workflow
Source: https://github.com/syedsaif666/LGTM/tree/main/skills/workflow
Command: npx skills add https://github.com/syedsaif666/LGTM --skill workflow-syedsaif666

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the chaos of uncoordinated AI agent development work, where unreviewed changes, messy git history, and disjointed deliverables make it impossible to ship reliable code. It enforces a structured, transparent workflow that ensures every AI-generated change is reviewable, traceable, and mergeable.

Core Features & Use Cases

  • Structured Work Breakdown: Automatically breaks high-level initiatives into discrete, atomic issues with clear dependencies and acceptance criteria, eliminating ambiguous or overlapping work.
  • Parallel Agent Execution: Dispatches independent AI agents to work on issues in parallel using isolated git worktrees, eliminating file conflicts and speeding up delivery.
  • End-to-End PR Management: Automates branch creation, PR generation, GitHub milestone alignment, status tracking, and cleanup, so you only need to review and merge final changes.
  • Use Case: For example, if you want to build a new user authentication system, use this Skill to break the work into small, reviewable issues, run agents to implement each feature in parallel, and merge all changes through a single project PR once all tests pass.

Quick Start

Use the workflow skill to break my plan for adding user profile editing into discrete issues, dispatch AI agents to implement each issue in parallel, and create a final project pull request once all changes are merged and reviewed.

Frequently Asked Questions about workflow

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

FAQPage Schema
How do I manage unreviewed AI-generated code changes and messy git history?▼

To manage unreviewed AI-generated code changes, you need a structured plan-to-pull-request workflow that enforces git conventions and isolated worktrees. This ensures all AI agent modifications are traceable, reviewable, and mergeable into the main codebase.

What is the best way to run AI coding agents on multiple issues in parallel?▼

Running AI coding agents in parallel requires dispatching them to isolated git worktrees. This approach assigns independent agents to discrete, atomic issues with clear dependencies, eliminating file conflicts and significantly speeding up feature delivery.

How do I automate pull request management for AI-driven software development?▼

Automating pull request management for AI development involves enforcing branch creation, PR generation, and GitHub milestone alignment. This automated status tracking and cleanup ensures every AI-generated change is consolidated for final review and merge.

How does parallel development with isolated git worktrees prevent file conflicts?▼

Parallel development with isolated git worktrees prevents file conflicts by assigning separate working directories to independent AI agents. This allows simultaneous execution of discrete software engineering issues without overlapping code modifications.

Can I break down high-level software initiatives into atomic issues for AI agents?▼

Yes, you can break down high-level software initiatives into discrete, atomic issues with clear dependencies and acceptance criteria. This structured work breakdown eliminates ambiguous overlapping tasks and coordinates AI agent execution effectively.

Does this structured workflow support GitHub milestone alignment for AI code?▼

Yes, structured AI development workflows support GitHub milestone alignment by automating status tracking and branch cleanup. This ensures all AI-generated code changes map directly to project milestones before creating a final reviewable pull request.

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