Agent-Skills.md

Agent Skills: Native Parallel Agents

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

UncategorizedID: vudovn/antigravity-kit/parallel-agents

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vudovn/antigravity-kit
vudovnLicense: MIT
3,795795

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pnpm dlx add-skill https://github.com/vudovn/antigravity-kit/tree/HEAD/.agent/skills/parallel-agents

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Skill Metadata

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

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
| 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]

### Action Items
- [ ] Fix critical security issue
- [ ] Refactor API endpoint
- [ ] Add missing tests

Best Practices

  1. Available agents - 17 specialized agents can be orchestrated
  2. Logical order - Discovery → Analysis → Implementation → Testing
  3. Share context - Pass relevant findings to subsequent agents
  4. Single synthesis - One unified report, not separate outputs
  5. 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