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oalansilva
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parallel-agents

Coordinate multiple autonomous agents to produce a unified synthesis report.

Updated Dec 28, 2025
Search Tags:#architecture#security#AI agents#codebase#multi-agent#orchestration#synthesis
One-click install
npx skills add https://github.com/oalansilva/crypto --skill parallel-agents-oalansilva
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/oalansilva/crypto/tree/main/.agent/skills/parallel-agents
Command: npx skills add https://github.com/oalansilva/crypto --skill parallel-agents-oalansilva

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinate multiple autonomous agents to perform discovery, analysis, and synthesis across codebases and related domains. This approach enables holistic reviews that combine expertise from security, backend, frontend, and data perspectives.

Core Features & Use Cases

  • Centralized orchestration of diverse agents to produce a single synthesis report.
  • Domain-agnostic workflows for architecture reviews, security audits, and QA.
  • Context sharing across agents to preserve findings and enable resumption.

Quick Start

Invoke the orchestrator with a multi-agent plan and provide the overall goals to start the synthesis workflow.

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 analyze a codebase across different domains?▼

Multi-agent codebase analysis is orchestrated by coordinating autonomous agents to perform discovery and analysis across domains, sharing context to preserve findings and generate a unified synthesis report. You provide the overall goals to start the workflow.

What is the best way to combine architecture and security reviews into a single assessment?▼

Combining architecture and security reviews into a single assessment requires centralized orchestration of diverse agents. This domain-agnostic workflow applies expertise from various perspectives to generate one holistic synthesis report.

Can I use multi-agent orchestration for complex reviews spanning backend and frontend tasks?▼

Multi-agent orchestration supports complex reviews spanning backend and frontend tasks. You apply it to diverse codebase evaluations to generate a unified assessment, ensuring context sharing across agents to preserve findings.

How do I resume an AI agent workflow if a synthesis session is interrupted?▼

Resuming an interrupted AI agent synthesis session is supported via context sharing across agents. This capability preserves findings and enables resumption, ensuring auditable outputs across multiple sessions.

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