parallel-agents▌
davila7/claude-code-templates · updated Apr 8, 2026
Orchestration through Claude Code's built-in Agent Tool
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
- Available agents - 17 specialized agents can be orchestrated
- Logical order - Discovery → Analysis → Implementation → Testing
- Share context - Pass relevant findings to subsequent agents
- Single synthesis - One unified report, not separate outputs
- 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)- No comments yet — start the thread.
Ratings
4.6★★★★★67 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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