PA

parallel-agents

Coordinate multiple specialized agents through native orchestration to handle complex, multi-domain coding tasks.

Install

mkdir -p .claude/skills/parallel-agents && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/776" && unzip -o skill.zip -d .claude/skills/parallel-agents && rm skill.zip

Installs to .claude/skills/parallel-agents

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
174 chars✓ has a “when” trigger
Intermediate

Key capabilities

  • Coordinate multiple specialized agents within a single session
  • Pass context and findings between different domain agents
  • Resume previous agent work using unique identifiers
  • Synthesize findings from multiple perspectives into a single report
  • Execute sequential chains of domain-specific tasks

How it works

The skill uses Claude Code's native agent system to invoke specialized agents in a logical order, sharing context across the session to produce a unified output.

Inputs & outputs

You give it
Task requirements and agent selection
You get back
Synthesized report with consolidated recommendations and action items

When to use parallel-agents

  • Comprehensive code review
  • Feature implementation requiring full-stack changes
  • Complex system analysis

About this skill

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

AgentExpertiseTrigger Phrases
orchestratorCoordination"comprehensive", "multi-perspective"
security-auditorSecurity"security", "auth", "vulnerabilities"
penetration-testerSecurity Testing"pentest", "red team", "exploit"
backend-specialistBackend"API", "server", "Node.js", "Express"
frontend-specialistFrontend"React", "UI", "components", "Next.js"
test-engineerTesting"tests", "coverage", "TDD"
devops-engineerDevOps"deploy", "CI/CD", "infrastructure"
database-architectDatabase"schema", "Prisma", "migrations"
mobile-developerMobile"React Native", "Flutter", "mobile"
api-designerAPI Design"REST", "GraphQL", "OpenAPI"
debuggerDebugging"bug", "error", "not working"
explorer-agentDiscovery"explore", "map", "structure"
documentation-writerDocumentation"write docs", "create README", "generate API docs"
performance-optimizerPerformance"slow", "optimize", "profiling"
project-plannerPlanning"plan", "roadmap", "milestones"
seo-specialistSEO"SEO", "meta tags", "search ranking"
game-developerGame Development"game", "Unity", "Godot", "Phaser"

Claude Code Built-in Agents

These work alongside custom agents:

AgentModelPurpose
ExploreHaikuFast read-only codebase search
PlanSonnetResearch during plan mode
General-purposeSonnetComplex 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

When not to use it

  • Simple, single-domain tasks
  • Quick fixes or small changes
  • Tasks where one agent is sufficient

Limitations

  • Requires logical ordering of agents for effective results
  • Synthesis protocol must be followed for consolidated reporting

How it compares

This approach keeps orchestration within the assistant's control rather than relying on external scripts to manage agent workflows.

Compared to similar skills

parallel-agents side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
parallel-agents (this skill)66moNo flagsIntermediate
rp-eng-review02moNo flagsIntermediate
multi-agent-brainstorming14moNo flagsIntermediate
architect-review1094moNo flagsAdvanced

Try saying

Example prompts that trigger this skill in your AI assistant.

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scroll-experience

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humanizer

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