parallel-agents

davila7/claude-code-templates · updated Apr 8, 2026

$npx skills add https://github.com/davila7/claude-code-templates --skill parallel-agents
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summary

Orchestration through Claude Code's built-in Agent Tool

skill.md

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:

## 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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.667 reviews
  • Arjun Martinez· Dec 28, 2024

    Registry listing for parallel-agents matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Yuki Ramirez· Dec 28, 2024

    Keeps context tight: parallel-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chaitanya Patil· Dec 8, 2024

    Keeps context tight: parallel-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Dev Jain· Dec 8, 2024

    parallel-agents has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Naina Chawla· Dec 8, 2024

    Solid pick for teams standardizing on skills: parallel-agents is focused, and the summary matches what you get after install.

  • Piyush G· Nov 27, 2024

    parallel-agents has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Lucas Sanchez· Nov 27, 2024

    Keeps context tight: parallel-agents is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Meera White· Nov 27, 2024

    parallel-agents is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Isabella Wang· Nov 19, 2024

    Useful defaults in parallel-agents — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amina Robinson· Nov 19, 2024

    parallel-agents has been reliable in day-to-day use. Documentation quality is above average for community skills.

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