Decompose large tasks into dependent parallel waves using subagents.
npx skills add https://github.com/ahostbr/dotcodex --skill max-parallel
Please help me install this Agent Skill. Skill: max-parallel Source: https://github.com/ahostbr/dotcodex/tree/main/skills/max-parallel Command: npx skills add https://github.com/ahostbr/dotcodex --skill max-parallel
Decomposes large tasks into dependent parallel waves using subagents, enabling scalable, faster execution of complex workflows.
Use the max-parallel workflow to decompose a task into parallel waves and spawn subagents for execution.
High-intent search queries and answers about installing and using this skill.
Large tasks are decomposed into sequentially dependent parallel waves using subagents for concurrent execution. The workflow manages wave-by-wave progress and includes a final synthesis pass to merge results and verify completeness.
Wave-based decomposition partitions work into sequentially dependent parallel waves that run concurrently. Subagents are spawned and managed for each wave with synchronization and handoffs, enabling scalable execution of complex software-engineering workflows.
Recursive task decomposition applies to software-engineering workflows requiring multi-wave coordination and agent spawning across sequential dependencies. It orchestrates dependent parallel waves using subagents to achieve scalable execution of complex tasks.
Parallel task execution with subagents includes a final synthesis pass to merge results across waves and verify completeness. This ensures task success by validating that all decomposed components are integrated and complete.
Multi-wave parallel task execution is orchestrated by decomposing tasks into dependent waves and spawning subagents. The workflow enforces wave-by-wave progress and culminates in a synthesis pass to merge and verify results.
Wave-by-wave progress for parallel workflow management should be avoided for simple tasks lacking sequential dependencies. The overhead of spawning subagents and enforcing wave synchronization is designed for complex, large-scale recursive decomposition workflows.
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