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mschuerig
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orchestrate-batch-refactor

Coordinate parallel multi-agent refactors with dependency-aware planning and staged validation.

Updated Feb 11, 2026
Search Tags:#planning#codebase#multi-agent#refactor#parallel-execution#orchestrate
One-click install
npx skills add https://github.com/mschuerig/peach-ios --skill orchestrate-batch-refactor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestrate-batch-refactor
Source: https://github.com/mschuerig/peach-ios/tree/main/.agents/skills/orchestrate-batch-refactor
Command: npx skills add https://github.com/mschuerig/peach-ios --skill orchestrate-batch-refactor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Plan and execute large-scale refactors safely across codebases by coordinating multiple agents to analyze, plan, and implement changes with clear ownership and dependency-aware execution.

Core Features & Use Cases

  • Parallel analysis and dependency-aware planning for large refactors
  • Clear ownership per work packet to avoid conflicts
  • Safety gates, validations, and auditable execution traces

Quick Start

Provide a high-level plan for refactoring a specified codebase scope with parallel analysis and well-defined work packets.

Frequently Asked Questions about orchestrate-batch-refactor

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

FAQPage Schema
How do I execute a large-scale codebase refactor without breaking existing behavior?▼

Plan large-scale refactors safely by spawning explorer sub-agents for parallel analysis and synthesizing a dependency-aware plan. This workflow coordinates multiple agents to analyze, plan, and implement changes with clear ownership and dependency-aware execution.

What's the best way to coordinate parallel refactoring tasks across a large codebase?▼

Coordinate parallel refactoring tasks by spawning explorer sub-agents to analyze the codebase simultaneously, then synthesizing a dependency-aware plan. Independent work packets are assigned explicit ownership to prevent conflicts during execution.

Can I use a multi-agent workflow to plan code refactors for complex dependency graphs?▼

Yes, a multi-agent workflow can plan code refactors for complex dependency graphs by spawning sub-agents for parallel analysis. The system synthesizes these analyses into a dependency-aware plan before executing independent work packets.

How does dependency-aware planning work for parallel code refactoring?▼

Dependency-aware planning for parallel code refactoring works by analyzing the codebase scope to map relationships, then synthesizing a plan that sequences independent work packets. This prevents conflicts and ensures changes are executed safely with validation gates.

What are the limitations of using parallel execution for multi-agent refactoring?▼

Parallel execution for multi-agent refactoring requires strict behavior-preserving constraints and staged validation gates to manage risks. Work packets must be truly independent to avoid integration conflicts during the auditable execution process.

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