parallel-agents

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

AI & Automation 27,705 stars 2858 forks Updated today MIT

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Skill Content

# 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-s...

Details

Author
davila7
Repository
davila7/claude-code-templates
Created
11 months ago
Last Updated
today
Language
Python
License
MIT

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