parallel-agents

Orchestrate sequential and parallel agent invocations for complex tasks.

6|Updated Feb 6, 2026

Search Tags:#workflow #code review #multi-agent #agents #orchestration #task decomposition

Ready to run

npx skills add https://github.com/paulojalowyj/openkit --skill parallel-agents-paulojalowyj

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/paulojalowyj/openkit/tree/main/.opencode/skills/parallel-agents
Command: npx skills add https://github.com/paulojalowyj/openkit --skill parallel-agents-paulojalowyj

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the complexity of managing multiple specialized AI agents for intricate tasks, providing a structured way to coordinate their efforts for comprehensive analysis and execution.

Core Features & Use Cases

Multi-Agent Coordination: Enables the seamless orchestration of various specialized agents within a single workflow.
Complex Task Decomposition: Breaks down large, multi-faceted problems into manageable sub-tasks for different agents.
Use Case: When performing a comprehensive code review, you can use this skill to have a security-auditor agent check for vulnerabilities, a backend-specialist agent review API quality, and a test-engineer agent assess test coverage, all within the same session.

Quick Start

Use the parallel-agents skill to have the security-auditor agent review authentication and then the backend-specialist agent review API endpoints.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema

How do I orchestrate multiple AI agents for complex code analysis?▼

Multi-agent orchestration coordinates specialized AI agents to execute complex code analysis by decomposing tasks into sub-problems. This skill enables sequential, parallel, and context-passing agent invocations within a single workflow session.

What is the best way to decompose tasks for parallel agents during a code review?▼

Task decomposition for parallel agents breaks down large code review processes into specialized sub-tasks. You can assign distinct roles like security-auditor, backend-specialist, and test-engineer to analyze different facets of the codebase concurrently.

Can I pass context between sequential AI agents in a single workflow?▼

Yes, context-passing agent invocations allow sequential AI agents to share data within a single workflow. This mechanism ensures that downstream specialized agents receive the necessary analytical context from prior execution steps.

Does multi-agent orchestration work with native agent systems and built-in tools?▼

Multi-agent orchestration integrates with native agent systems and built-in tools like Explore and Plan. This compatibility allows coordinated specialized agents to leverage existing system capabilities for comprehensive feature implementation and analysis.

When should I use parallel agent invocations instead of a single agent?▼

Parallel agent invocations are necessary when complex tasks require diverse expertise simultaneously, such as comprehensive code reviews. A single agent lacks the structured coordination to manage multiple specialized roles effectively within the same session.