ls-max-parallel

What problem does it solve?

It helps you reliably split a complex request into independent subtasks that can run concurrently, then merge all outcomes into a single coherent result.

Core Features & Use Cases

• Parallel wave decomposition: breaks the request into many subtasks, maps dependencies, and executes independent work in wave order.
• Strategy control for quality vs breadth: supports recursive execution, ensemble comparison across multiple models, and sweep exploration for broad coverage.
• Mandatory synthesis: always runs a final synthesis step that merges findings, flags contradictions, and validates completeness.

Use case: You have a large codebase refactor request; you want thorough coverage by executing exploration components in parallel waves, then produce a unified refactor plan with checks.

Quick Start

Send the instruction "/max-parallel --agents 8 --depth 2 Refactor this feature end-to-end" to trigger decomposition, parallel execution, and final synthesis.