cat:parallel-execute

Orchestrate concurrent subagents and merge results in dependency-aware order.

101|2|Updated Jan 7, 2026

Search Tags:#workflow #concurrency #subagents #orchestration #parallel #coordination #task-decomposition

Ready to run

npx skills add https://github.com/cowwoc/cat --skill cat-parallel-execute

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cat:parallel-execute
Source: https://github.com/cowwoc/cat/tree/main/plugin/skills/parallel-execute
Command: npx skills add https://github.com/cowwoc/cat --skill cat-parallel-execute

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CAT tasks often require running several independent subagents to speed up delivery, but coordinating them, collecting results, and merging outcomes can be complex and error-prone. This Skill provides a structured orchestration layer to run subagents in parallel while ensuring results are merged in a deterministic order.

Core Features & Use Cases

Parallel Subagent Launch: Spawn multiple subagents concurrently for independent subtasks.
Progress Monitoring & Merging: Collect and merge results in a deterministic order.
Failure Handling & Recovery: Block or retry failed subagents and continue with successful ones.
Use Case: When decomposition yields several independent components that can run in parallel to reduce wall-clock time.

Quick Start

Use the cat:parallel-execute skill to run three independent subtasks in parallel and then merge their results.

Frequently Asked Questions about cat:parallel-execute

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

FAQPage Schema

How do I run independent subagents concurrently to reduce wall-clock time?▼

Parallel subagent orchestration spawns multiple isolated subtasks concurrently while a parent agent coordinates work streams. Results are collected asynchronously as subagents complete and merged in a deterministic, dependency-aware order to maximize throughput.

When should I parallelize work across subagents instead of running tasks sequentially?▼

You should parallelize work across subagents when task decomposition yields several independent components that can run in isolation. If subtasks lack dependencies and benefit from concurrent execution, parallel orchestration significantly reduces overall delivery time compared to sequential processing.

How does parallel orchestration merge results from concurrent subagents?▼

Parallel orchestration merges results from concurrent subagents by collecting outputs as they complete and assembling them in a dependency-aware order. This deterministic merging process ensures the final output is consistent regardless of when individual subagents finish their work.

What happens to workflow coordination if one subagent fails during parallel execution?▼

If a subagent fails during parallel execution, the orchestration layer provides recovery pathways by blocking or retrying failed subagents. The parent agent can continue processing successful work streams while isolating failures to prevent disruption of the entire concurrent workflow.

Are there limitations to using parallel task decomposition for subagent coordination?▼

Parallel task decomposition is limited when subtasks share tight dependencies or require sequential state mutations. If your components cannot run in isolation, concurrent subagent execution risks race conditions and deterministic merging failures, making sequential orchestration more appropriate.