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Ab-aswini
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parallel-agents

Orchestrate specialized agents in parallel and sequential workflows with context passing.

2|Updated Feb 15, 2026
Search Tags:#code analysis#collaboration#AI agents#agent orchestration#task decomposition#multi-agent systems
One-click install
npx skills add https://github.com/Ab-aswini/Agent-kit-P1 --skill parallel-agents-ab-aswini
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/Ab-aswini/Agent-kit-P1/tree/main/.agent-os/skills/parallel-agents
Command: npx skills add https://github.com/Ab-aswini/Agent-kit-P1 --skill parallel-agents-ab-aswini

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines complex tasks by enabling multiple specialized AI agents to collaborate, ensuring comprehensive analysis and execution across different domains.

Core Features & Use Cases

  • Multi-Agent Coordination: Orchestrate specialized agents for tasks requiring diverse expertise (e.g., security, backend, frontend).
  • Complex Task Decomposition: Break down large problems into smaller, manageable tasks for individual agents.
  • Comprehensive Analysis: Combine insights from multiple agents for a holistic understanding of codebases or features.
  • Use Case: Analyze a new feature by having a backend-specialist review the API, a frontend-specialist examine the UI components, and a test-engineer identify potential test gaps, followed by a synthesis of all findings.

Quick Start

Use the parallel-agents skill to perform a comprehensive analysis of the codebase using the explorer-agent, security-auditor, backend-specialist, frontend-specialist, and test-engineer agents.

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?▼

You can analyze a new feature by assigning specialized agents to different domains: a backend-specialist reviews APIs, a frontend-specialist examines UI components, and a test-engineer identifies test gaps, followed by a synthesis of all findings.

What is multi-agent task decomposition for software engineering?▼

Task decomposition in multi-agent systems breaks down large software engineering problems into smaller, manageable tasks for individual specialized agents. This allows diverse domain expertise to be applied comprehensively across full-stack feature development and security audits.

How do I perform a comprehensive security audit using AI agents?▼

You can perform a full-stack feature development analysis by orchestrating specialized agents like a backend-specialist, frontend-specialist, and test-engineer. They execute sequentially or in parallel, passing context to synthesize comprehensive findings.

Can I use parallel agent execution for full-stack code reviews?▼

Yes, parallel agent execution supports full-stack code reviews by simultaneously running specialized agents across different domains. Context passing and finding synthesis combine insights from multiple perspectives into a holistic review.

Do I need specific dependencies to run multi-agent systems for code reviews?▼

No specific dependencies are required to run multi-agent systems for code reviews. The Skill operates independently to orchestrate specialized agents, passing context and synthesizing findings from multiple perspectives without external modules.

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