parallel-agents

Coordinate multiple specialized agents within Antigravity's governance framework.

7|1|Updated Feb 5, 2026
One-click install
npx skills add https://github.com/besync-labs/antigravity-ai-kit --skill parallel-agents-besync-labs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/besync-labs/antigravity-ai-kit/tree/main/.agent/skills/parallel-agents
Command: npx skills add https://github.com/besync-labs/antigravity-ai-kit --skill parallel-agents-besync-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Orchestrate and coordinate multiple specialized agents within Antigravity's governance framework to deliver complex tasks with better efficiency, consistency, and traceability.

Core Features & Use Cases

  • Centralized orchestration of planners, architects, security reviewers, and other domain agents.
  • Context sharing and synthesis across agents to produce unified deliverables and traceable decisions.
  • Use cases include architecture reviews, security audits, code quality assessments, and end-to-end feature delivery with governance.

Quick Start

Initiate a parallel-agent orchestration by routing the feature through planner, architect, and domain agents to deliver a coordinated implementation under governance.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema
How do I coordinate multiple agents for a security audit?

To coordinate multiple agents for a security audit, you route the task through specialized agents like planners and security reviewers to deliver a unified implementation under governance protocols. This enables context sharing and synthesis across agents.

What is multi-agent orchestration for complex software tasks?

Multi-agent orchestration is the centralized coordination of specialized agents to execute complex tasks like architecture reviews or feature delivery. It applies cross-domain analysis and governance protocols to produce traceable decisions and unified deliverables.

Can I use parallel agents for end-to-end feature delivery?

Yes, you can use parallel agents for end-to-end feature delivery by routing your feature through a chain of planner, architect, and domain agents. This ensures coordinated implementation and cross-domain analysis within a governance framework.

What's the best way to share context across specialized agents?

The best way to share context across specialized agents is using a unified agent chain that enables context sharing and synthesis. This approach ensures coordinated work across planners and architects, producing traceable decisions and unified deliverables.

Do I need a governance framework for multi-agent architecture reviews?

Yes, applying a governance framework to multi-agent architecture reviews ensures traceability and consistency. Orchestration within this framework coordinates specialized agents to deliver unified deliverables and traceable decisions for complex tasks.