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workflow

Orchestrate multi-agent software development workflows from instructions to PR preparation.

Updated Apr 10, 2026
Search Tags:#workflow#production#multi-agent#branching#worktree#instructions#code-review
One-click install
npx skills add https://github.com/erichugy/agentic.skills --skill workflow-erichugy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: workflow
Source: https://github.com/erichugy/agentic.skills/tree/main/workflow
Command: npx skills add https://github.com/erichugy/agentic.skills --skill workflow-erichugy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a repeatable, instructions-first process to coordinate AI-driven code work so teams avoid unreviewed, no-op, or poorly scoped changes and ensure production-quality commits and PRs.

Core Features & Use Cases

  • Instructions-first workflow: create a self-contained instructions document that embeds the relevant source, types, API contracts, and tasks before any code is written.
  • Branching, worktrees & multi-agent execution: standardizes branch naming, creates isolated worktrees per agent, and dispatches worker and reviewer agents with explicit skills.
  • Rigorous review loop and no-op detection: enforces a reviewer checklist, mandates zero-issue reviewer PASS, prevents committing no-op changes, and orchestrates PR creation without merging.
  • Use Case: run this workflow to implement a new feature across parallel worker agents, iterate through reviewer fixes until PASS, then push and open PRs for final human merge.

Quick Start

Create a self-contained instructions document, get Eric's approval, then run the multi-agent plan to implement, review, and prepare PRs.

Frequently Asked Questions about workflow

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

FAQPage Schema
How do I orchestrate multi-agent execution for parallel feature development?▼

Multi-agent execution orchestrates parallel feature development by dispatching isolated worker and reviewer agents to separate worktrees. This ensures vetted, review-ready code changes without conflicting branch states across your repository.

What is an instructions-first workflow for AI-assisted code changes?▼

An instructions-first workflow requires a self-contained document embedding source, types, API contracts, and tasks before writing code. This prevents poorly scoped changes by ensuring AI agents operate within strict, predefined boundaries.

How do I prevent committing no-op changes during AI code generation?▼

To prevent committing no-op changes, the workflow enforces rigorous review loops and no-op detection checks before pushing. This guarantees that only meaningful, verified code modifications proceed to conventional commits and PR creation.

Does this workflow automatically merge PRs after the reviewer agent passes?▼

No, the workflow orchestrates PR creation without merging. It mandates a zero-issue reviewer PASS and prepares the PR for final human merge, ensuring human oversight over production-ready commits.

How do I prepare production-ready commits using isolated worktrees?▼

Production-ready commits are prepared by standardizing branch naming and creating isolated worktrees per agent. The system enforces production hardening checks and conventional commits before opening pull requests.

Can I use this multi-agent workflow for bug fixes and code reviews?▼

Yes, the workflow applies to feature development, bug fixes, and code reviews. It standardizes branching and dispatches reviewer agents with explicit skills to iterate fixes until passing.

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