parallel-agents

Coordinate multiple specialized agents and synthesize their findings into one report.

Updated Mar 24, 2026
One-click install
npx skills add https://github.com/Icebane84/Synarche_Workshop --skill parallel-agents-icebane84
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: parallel-agents
Source: https://github.com/Icebane84/Synarche_Workshop/tree/main/.agent/skills/core/parallel-agents
Command: npx skills add https://github.com/Icebane84/Synarche_Workshop --skill parallel-agents-icebane84

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Parallel-agents reduces the time and risk of complex work by letting you coordinate multiple specialized agents and then unify their findings into one coherent outcome.

Core Features & Use Cases

  • Multi-agent orchestration: Run domain-focused specialists (e.g., security, backend, frontend, testing) and pass context between steps for a comprehensive review.
  • Concurrent task execution & synthesis: Collect outputs from multiple agents and produce a single consolidated report with prioritized recommendations and action items.
  • Common workflows: Use it for comprehensive analysis, feature reviews, and security audits where different perspectives are needed to catch issues earlier.

Example use case: For a new feature that touches UI, APIs, and persistence, invoke the explorer, backend-specialist, frontend-specialist, and test-engineer, then synthesize security and quality findings into a unified plan.

Quick Start

Ask an AI to orchestrate native parallel agents for a comprehensive analysis of the current codebase, including discovery, security review, API and UI checks, and test-gap identification, then return a single synthesized action plan.

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 comprehensive code review?

Multi-agent orchestration coordinates domain-focused specialists like security, backend, and frontend agents to run concurrently and pass shared context between steps for a comprehensive code review.

Can I run a security audit and test coverage analysis concurrently?

Yes, you can run a security audit and test coverage analysis concurrently by invoking specialized agents simultaneously, then synthesizing their separate findings into a single consolidated report with prioritized recommendations.

How does context passing work between parallel agents?

Context passing works by sharing information between sequential task steps in a deterministic workflow, ensuring each specialized agent receives relevant findings from previous steps before contributing to the final unified synthesis output.

What is the best way to synthesize findings from multiple specialized agents?

The best way to synthesize findings from multiple specialized agents is using structured synthesis reporting, which collects concurrent outputs and produces a single consolidated report with prioritized recommendations and action items.

Does multi-agent orchestration require specific environment setup?

Multi-agent orchestration requires native antigravity agent orchestration support and deterministic task sequencing patterns to execute properly, with optional resume support available for continuing previous agent work.

When should I not use concurrent agents for feature reviews?

Concurrent agents are not ideal for simple, single-domain tasks where multi-agent orchestration overhead outweighs the benefits, as this approach is designed for comprehensive feature reviews requiring multiple different domain perspectives.