Can I control how many agents are spawned at once?

Yes, you can define a SpawnConfig that sets the maximum number of parallel agents, as well as specific timeouts and retry logic for each agent.

What is the main benefit of the Parallel Agent Spawner?

It significantly reduces project completion time by allowing multiple AI sub-agents to work on independent tasks simultaneously rather than waiting for one to finish before starting the next.

How does it handle code conflicts between different agents?

The skill utilizes a Result Aggregator that applies configurable merge strategies, such as sequential merging or git-merge logic, to ensure that parallel changes are integrated safely into the main codebase.

Does it require a specific project structure?

It is designed to work within standard development environments and integrates with existing tools like checkpoint managers and error recoverers to ensure stability during parallel execution.

What types of agents can be parallelized?

The system supports various agent types including 'coding' for implementation, 'testing' for running suites, 'review' for code analysis, and 'research' for exploring repositories.

Parallel Agent Spawner

Name: Parallel Agent Spawner
Author: adaptationio

byadaptationio

生産性とワークフロー

Accelerates development throughput by spawning and coordinating multiple autonomous agents to handle independent tasks concurrently.

概要

The Parallel Agent Spawner is an advanced orchestration skill designed to optimize the efficiency of AI-driven development. It analyzes project dependencies to identify parallelizable work, then deploys specialized worker agents—such as coding, testing, and research agents—to execute tasks simultaneously. By managing agent pools, enforcing timeouts, and utilizing a sophisticated result aggregator with conflict resolution, this skill transforms sequential coding processes into a high-speed parallel workflow, significantly reducing the time required for feature completion and codebase exploration.

主な機能

Customizable spawn settings for timeouts, retries, and agent limits
Configurable merge strategies and automated conflict resolution
0 GitHub stars
Support for specialized agent types including coding, testing, and research
Dynamic agent pool management for concurrent task execution
Automated dependency analysis to identify parallelizable work units

ユースケース

Running massive E2E test suites across parallel agent instances
Implementing multiple independent features or modules simultaneously
Performing wide-scale codebase research and documentation updates

概要

主な機能

Customizable spawn settings for timeouts, retries, and agent limits
Configurable merge strategies and automated conflict resolution
0 GitHub stars
Support for specialized agent types including coding, testing, and research
Dynamic agent pool management for concurrent task execution
Automated dependency analysis to identify parallelizable work units

ユースケース

Running massive E2E test suites across parallel agent instances
Implementing multiple independent features or modules simultaneously
Performing wide-scale codebase research and documentation updates