parallel-agents

Coordinate specialized agents for comprehensive analysis across code reviews and architecture planning.

7|1|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/skeletorflet/opencode-kit --skill parallel-agents-skeletorflet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/skeletorflet/opencode-kit/tree/main/.opencode/skills/parallel-agents
Command: npx skills add https://github.com/skeletorflet/opencode-kit --skill parallel-agents-skeletorflet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coordinated multi-agent workflows to divide complex tasks among domain experts, enabling comprehensive analysis and faster feature reviews.

Core Features & Use Cases

  • Orchestration through Antigravity's built-in Agent Tool to keep all control in a single context
  • Structured orchestration patterns: Comprehensive Analysis, Feature Review, Security Audit
  • Unified synthesis and context passing across agents to reduce back-and-forth and ensure traceability

Quick Start

Activate a multi-agent session to coordinate exploration, planning, and execution across your codebase.

Frequently Asked Questions about parallel-agents

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

FAQPage Schema
What is multi-agent orchestration for code review and architecture planning?

Multi-agent orchestration coordinates specialized agents across exploration, security, backend, frontend, and testing domains to deliver comprehensive task analysis within a single auditable session.

How do I coordinate multiple agents for a comprehensive codebase analysis?

Activate a multi-agent session to apply structured patterns like comprehensive analysis or feature review, enabling unified context passing and synthesis across all specialized agents without back-and-forth.

Can I run a security audit and feature review simultaneously across different domains?

Yes, the orchestration patterns support security audits and feature reviews by distributing tasks to domain-specific agents while maintaining deterministic planning and safe, auditable execution.

How does context sharing work between specialized agents in a single orchestration session?

Context sharing and unified synthesis reduce back-and-forth by passing information between exploration, planning, and execution agents, ensuring traceability throughout the entire orchestration session.

What are the limitations of multi-agent orchestration for complex task analysis?

Orchestration is constrained to a single context session using built-in agent tools, requiring deterministic planning and not suiting tasks needing execution outside its safe, auditable boundaries.