parallel-agents

Coordinate multiple specialized agents through Antigravity's agent system for cross-domain tasks.

Updated Jan 3, 2026
One-click install
npx skills add https://github.com/thgterto/Gerenciador-de-estoque --skill parallel-agents-thgterto
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/thgterto/Gerenciador-de-estoque/tree/main/.agent/skills/parallel-agents
Command: npx skills add https://github.com/thgterto/Gerenciador-de-estoque --skill parallel-agents-thgterto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinating multiple specialized agents to manage complex, cross-domain tasks within Antigravity's built-in agent system, improving thoroughness and speed.

Core Features & Use Cases

  • Orchestration patterns: define and execute sequential and contextual agent workflows.
  • Multi-domain analysis: coordinate experts across discovery, security, backend, frontend, and testing to produce unified insights.
  • Resume and context passing: preserve work state and pass findings between agents for cumulative synthesis.

Quick Start

Coordinate three domain-specific agents (explorer-agent, security-auditor, backend-specialist) to map a project, audit security, and synthesize findings.

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 AI agents for cross-domain analysis?

Multi-agent orchestration coordinates specialized agents across discovery, security, backend, frontend, and testing domains to execute cross-domain analysis. It defines agent selection and sequencing patterns to manage complex workflows and synthesize unified project insights.

What is the best way to pass context between sequential AI agents?

Context passing preserves work state and routes findings between sequential agents. This enables cumulative synthesis by carrying previous outputs forward, ensuring downstream specialists build upon discovered data rather than operating in isolation.

How does multi-agent orchestration handle comprehensive project reviews?

Comprehensive project reviews use multi-agent orchestration to deploy domain experts across backend, frontend, security, and testing disciplines. The system applies unified synthesis reporting to aggregate findings into a final recommendations document.

Can I use multi-agent workflows for complex project discovery and security audits?

Yes, multi-agent workflows support complex project discovery and security audits by coordinating an explorer-agent and security-auditor simultaneously. These specialized agents map project architecture and identify vulnerabilities before synthesizing combined findings.

How do I resume an interrupted multi-agent workflow?

Multi-agent workflows preserve work state to enable resume functionality. This maintains the execution context and sequencing patterns, allowing interrupted orchestration streams to continue from the last completed agent without losing prior analysis.