parallel-agents

Coordinate multiple specialized agents in sequential or parallel execution chains.

Updated Mar 7, 2026

Search Tags:#workflow #collaboration #parallel processing #multi-agent #agents #orchestration

Ready to run

npx skills add https://github.com/Geargrindadmin/gg-agentic-harness --skill parallel-agents-geargrindadmin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/Geargrindadmin/gg-agentic-harness/tree/main/.agent/skills/parallel-agents
Command: npx skills add https://github.com/Geargrindadmin/gg-agentic-harness --skill parallel-agents-geargrindadmin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill streamlines complex tasks by coordinating multiple specialized AI agents, allowing them to collaborate on a single objective, leveraging diverse expertise for comprehensive analysis and problem-solving.

Core Features & Use Cases

Multi-Agent Coordination: Manages the execution of multiple agents in parallel or sequential chains.
Expertise Pooling: Assigns tasks to agents with specific domain knowledge (e.g., security, frontend, backend).
Context Passing: Enables agents to share findings and build upon each other's work.
Use Case: Reviewing a new feature by having a backend-specialist analyze the server-side code, a frontend-specialist examine the UI components, and a test-engineer devise test cases, all coordinated by the orchestrator agent.

Quick Start

Use the security-auditor agent to review authentication.

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 to work on a single complex task?▼

Multi-agent orchestration coordinates multiple specialized AI agents to collaborate on a single objective. You can execute agents in parallel or sequential chains, passing context between them to leverage diverse domain expertise for comprehensive analysis.

What is multi-agent orchestration for parallel processing workflows?▼

Multi-agent orchestration is a workflow pattern that assigns complex tasks to specialized agents like a security-auditor or backend-specialist. It enables parallel processing and sequential execution with context passing to build comprehensive feature reviews.

Can I use specialized agents like a security-auditor and test-engineer for feature reviews?▼

Yes, you can assign feature review tasks to specialized agents. A backend-specialist analyzes server-side code, a frontend-specialist examines UI components, and a test-engineer devises test cases, all coordinated by an orchestrator agent.

How do I pass context between agents in a sequential execution chain?▼

Context passing enables agents to share findings and build upon each other's work during sequential execution. The orchestrator agent manages the flow, ensuring downstream agents receive the necessary context from prior steps.

Does multi-agent orchestration support both parallel and sequential agent execution?▼

Yes, multi-agent orchestration supports both parallel and sequential agent execution. You can run agents simultaneously for independent analysis or chain them sequentially to pass context and build upon previous findings.

When should I use parallel agents instead of a single agent for task processing?▼

Use parallel agents when a complex task requires diverse domain expertise or multiple perspectives. Orchestrating specialized agents like security-auditors and backend-specialists provides comprehensive analysis that a single agent cannot achieve.