parallel-agents

Name: parallel-agents - Agent Skill
Rating: 5.0 (1630 reviews)
Author: sickn33

1,630

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

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CLI Install

Recommended

Use the skills CLI to install this skill with one command. Auto-detects all installed AI assistants.

Method 1 - skills CLI

npx skills i sickn33/antigravity-awesome-skills/skills/parallel-agents

Method 2 - openskills (supports sync & update)

npx openskills install sickn33/antigravity-awesome-skills

Auto-detects Claude Code, Cursor, Codex CLI, Gemini CLI, and more. One install, works everywhere.

Installation Path

Download and extract to one of the following locations:

~/.claude/skills/parallel-agents/

SKILL.md

Skill Instructions

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Claude Sonnet 4.5

$0.20/task

Best for coding tasks

No setup required

Native Parallel Agents

Orchestration through Claude Code's built-in Agent Tool

Overview

This skill enables coordinating multiple specialized agents through Claude Code's native agent system. Unlike external scripts, this approach keeps all orchestration within Claude's control.

When to Use Orchestration

✅ Good for:

Complex tasks requiring multiple expertise domains
Code analysis from security, performance, and quality perspectives
Comprehensive reviews (architecture + security + testing)
Feature implementation needing backend + frontend + database work

❌ Not for:

Simple, single-domain tasks
Quick fixes or small changes
Tasks where one agent suffices

Native Agent Invocation

Single Agent

Use the security-auditor agent to review authentication

Sequential Chain

First, use the explorer-agent to discover project structure.
Then, use the backend-specialist to review API endpoints.
Finally, use the test-engineer to identify test gaps.

With Context Passing

Use the frontend-specialist to analyze React components.
Based on those findings, have the test-engineer generate component tests.

Resume Previous Work

Resume agent [agentId] and continue with additional requirements.

Orchestration Patterns

Pattern 1: Comprehensive Analysis

Agents: explorer-agent → [domain-agents] → synthesis

1. explorer-agent: Map codebase structure
2. security-auditor: Security posture
3. backend-specialist: API quality
4. frontend-specialist: UI/UX patterns
5. test-engineer: Test coverage
6. Synthesize all findings

Pattern 2: Feature Review

Agents: affected-domain-agents → test-engineer

1. Identify affected domains (backend? frontend? both?)
2. Invoke relevant domain agents
3. test-engineer verifies changes
4. Synthesize recommendations

Pattern 3: Security Audit

Agents: security-auditor → penetration-tester → synthesis

1. security-auditor: Configuration and code review
2. penetration-tester: Active vulnerability testing
3. Synthesize with prioritized remediation

Available Agents

Agent	Expertise	Trigger Phrases
`orchestrator`	Coordination	"comprehensive", "multi-perspective"
`security-auditor`	Security	"security", "auth", "vulnerabilities"
`penetration-tester`	Security Testing	"pentest", "red team", "exploit"
`backend-specialist`	Backend	"API", "server", "Node.js", "Express"
`frontend-specialist`

Claude Code Built-in Agents

These work alongside custom agents:

Agent	Model	Purpose
Explore	Haiku	Fast read-only codebase search
Plan	Sonnet	Research during plan mode
General-purpose	Sonnet	Complex multi-step modifications

Use Explore for quick searches, custom agents for domain expertise.

Synthesis Protocol

After all agents complete, synthesize:

## Orchestration Synthesis
 
### Task Summary
[What was accomplished]
 
### Agent Contributions
| Agent | Finding |
|-------|---------|
| security-auditor | Found X |
| backend-specialist | Identified Y |
 
### Consolidated Recommendations
1. **Critical**: [Issue from Agent A]
2. **Important**: [Issue from Agent B]
3. **Nice-to-have**: [Enhancement from Agent C]

Best Practices

Available agents - 17 specialized agents can be orchestrated
Logical order - Discovery → Analysis → Implementation → Testing
Share context - Pass relevant findings to subsequent agents
Single synthesis - One unified report, not separate outputs
Verify changes - Always include test-engineer for code modifications

Key Benefits

✅ Single session - All agents share context
✅ AI-controlled - Claude orchestrates autonomously
✅ Native integration - Works with built-in Explore, Plan agents
✅ Resume support - Can continue previous agent work
✅ Context passing - Findings flow between agents