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orchestrate-batch-refactor

Orchestrate large-scale code refactoring through parallel multi-agent analysis and dependency-aware execution.

Updated Jun 2, 2026
Search Tags:#automation#refactoring#codebase#multi-agent#orchestration#dependency
One-click install
npx skills add https://github.com/PicoMLX/SwiftSQLite --skill orchestrate-batch-refactor-picomlx
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchestrate-batch-refactor
Source: https://github.com/PicoMLX/SwiftSQLite/tree/main/.agents/skills/orchestrate-batch-refactor
Command: npx skills add https://github.com/PicoMLX/SwiftSQLite --skill orchestrate-batch-refactor-picomlx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the complexity and risk associated with large-scale codebase refactors by providing a structured, dependency-aware framework for parallelizing work across multiple AI agents.

Core Features & Use Cases

  • Parallel Analysis: Decomposes large refactor goals into independent work packets using explorer agents.
  • Dependency-Aware Execution: Sequences work packets to ensure safe integration and prevent merge conflicts.
  • Use Case: Use this when you need to perform a major architectural migration, such as renaming a core module or updating a shared API across hundreds of files, ensuring each sub-agent operates within strict ownership boundaries.

Quick Start

Use the orchestrate-batch-refactor skill to analyze the target scope and generate a dependency-aware plan for refactoring the authentication module.

Frequently Asked Questions about orchestrate-batch-refactor

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

FAQPage Schema
How do I parallelize large-scale codebase refactoring across multiple AI agents?▼

Large-scale codebase refactoring is parallelized by decomposing refactor goals into independent work packets using explorer agents, ensuring strict ownership boundaries. This dependency-aware orchestration sequences tasks to prevent merge conflicts during execution.

What is dependency-aware execution for multi-agent code migrations?▼

Dependency-aware execution is an orchestration mechanism that sequences work packets based on codebase dependencies to ensure safe integration. It applies validation gates and defined invariants to prevent merge conflicts during architectural migrations.

How do I execute a major architectural migration across hundreds of files safely?▼

Execute major architectural migrations by systematically decomposing the target scope into independent work packets with defined invariants. Multi-agent orchestration applies strict ownership boundaries and validation gates to ensure safe integration of hundreds of files.

When do I need multi-agent orchestration for codebase modifications?▼

You need multi-agent orchestration for medium to large scope codebase modifications requiring strict ownership boundaries and validation gates. It handles complex refactors like renaming core modules or updating shared APIs that exceed single-agent capacity.

What is the best way to prevent merge conflicts during parallel code refactors?▼

The best way to prevent merge conflicts during parallel code refactors is dependency-aware execution that sequences work packets according to codebase dependencies. Strict ownership boundaries ensure sub-agents operate within isolated scopes.

Can I use this orchestration skill for small scope code modifications?▼

This orchestration skill is designed for medium to large scope codebase modifications requiring strict ownership boundaries and validation gates. Small scope modifications lack the dependency complexity needed to justify systematic decomposition into independent work packets.

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