Native Parallel Agents

Orchestration through Antigravity's built-in Agent Tool

Overview

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

Frontend "React", "UI", "components", "Next.js"

test-engineer

Testing "tests", "coverage", "TDD"

devops-engineer

DevOps "deploy", "CI/CD", "infrastructure"

database-architect

Database "schema", "Prisma", "migrations"

mobile-developer

Mobile "React Native", "Flutter", "mobile"

api-designer

API Design "REST", "GraphQL", "OpenAPI"

debugger

Debugging "bug", "error", "not working"

explorer-agent

Discovery "explore", "map", "structure"

documentation-writer

Documentation "write docs", "create README", "generate API docs"

performance-optimizer

Performance "slow", "optimize", "profiling"

project-planner

Planning "plan", "roadmap", "milestones"

seo-specialist

SEO "SEO", "meta tags", "search ranking"

game-developer

Game Development "game", "Unity", "Godot", "Phaser"

Antigravity 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

Consolidated Recommendations

1. Critical: [Issue from Agent A]
2. Important: [Issue from Agent B]
3. Nice-to-have: [Enhancement from Agent C]

Action Items

• Fix critical security issue
• Refactor API endpoint
• Add missing tests

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