id: skill-parallel-agents type: skill 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. category: ai-research complexity: medium keywords:

• api
• audit
• ci/cd
• database
• deploy
• graphql
• performance
• react
• rest
• security
• test
• testing
• vulnerability capabilities:
• file_reading
• file_search
• text_search token_estimate: 923

How to Use This Template

This template can be used with various AI coding assistants:

GitHub Copilot:

• Add to .github/copilot-instructions.md in your repository
• Reference in chat: @workspace to include in context
• Add specific sections to your workspace instructions

Augment Code:

• Load context: aug context add <path-to-this-file>
• Reference in queries naturally
• Use with specific commands

Claude (Desktop/Web):

• Add to Project Knowledge in Claude Projects
• Reference in custom instructions
• Copy relevant sections as needed

ChatGPT:

• Add to Custom GPT configuration
• Include in conversation instructions
• Use as system prompt

Generic Usage: Copy the content below and paste it into your AI assistant's context window or system instructions.

parallel-agents

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 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

Claude Code Built-in Agents

These work alongside custom agents:

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

🚀 Usage

Reference this template: @skill-parallel-agents.md

Platform-specific:

• GitHub Copilot: Add to .github/copilot-instructions.md
• Augment Code: Use aug context add command
• Cursor/Windsurf: Reference in chat with @filename
• Claude: Add to Project Knowledge
• ChatGPT: Add to Custom GPT configuration