
Native Parallel Agents
FreeOrchestrate multiple AI agents for complex tasks.
Free · Opens the source repo
What Native Parallel Agents does
The Native Parallel Agents skill allows developers to coordinate multiple specialized agents within Claude Code's ecosystem. This orchestration capability is particularly useful when tackling complex tasks that require expertise from various domains, such as security audits, performance evaluations, and comprehensive code reviews. By leveraging the built-in agent system, users can maintain control and streamline their workflows without relying on external scripts.
This skill is designed for scenarios where different aspects of a project need to be analyzed or developed simultaneously. For instance, when implementing a new feature, you can engage agents that specialize in backend, frontend, and database work, ensuring that all parts of the system are aligned and functioning together. The orchestration patterns provided, such as comprehensive analysis and feature review, guide users in effectively utilizing multiple agents to achieve thorough results.
Additionally, the skill supports context passing, allowing findings from one agent to inform the next, which enhances the overall efficiency of the process. Users can also resume previous agent work, making it easy to pick up where they left off. This is particularly beneficial in iterative development environments where tasks evolve over time.
Overall, the Native Parallel Agents skill is ideal for developers and teams looking to optimize their workflows by integrating diverse expertise into their projects, fostering collaboration and thorough analysis across different aspects of software development.
When to use it
Use this skill when working on complex projects that benefit from multi-agent collaboration, such as security audits or comprehensive code reviews.
When not to use it
Avoid this skill for simple tasks that can be handled by a single agent or quick fixes that do not require extensive analysis.
What you can build with it
Comprehensive Code Review
Utilize multiple agents to analyze security, performance, and code quality in a single workflow.
Feature Implementation
Engage backend, frontend, and database agents simultaneously to ensure cohesive feature development.
Security Audit
Conduct a thorough security review by orchestrating agents for configuration checks and vulnerability testing.
How to install Native Parallel Agents
View source1. Install with the skills CLI
npx skills add davila7/claude-code-templates/parallel-agents --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by davila7Native 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
Frequently asked questions about Native Parallel Agents
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