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parallel-agents

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

28,273 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/parallel-agents/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/parallel-agents/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/parallel-agents/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How parallel-agents Compares

Feature / Agentparallel-agentsStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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` | 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" |

---

## 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:

```markdown
## 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