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Parallel Agents

skill-matthewbspeicher-remembr-dev-parallel-agents · by matthewbspeicher

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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Install

$ agentstack add skill-matthewbspeicher-remembr-dev-parallel-agents

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

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

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.