parallel-agents
Lets multiple agents work together on tasks. Use when different experts need to analyze something or when a task can be split. Improves complex analysis.
What it does
Coordinates multiple specialized 'artificial intelligences' to work together on a complex task. Each AI focuses on a specific part of the problem, like security, backend, or frontend, and then their findings are gathered.
When to use it
- ✓Analyzing code from multiple angles (security, performance, quality).
- ✓Implementing a new feature affecting different parts of the system (backend, frontend, database).
- ✓Comprehensively reviewing a software project.
Example of what to ask your AI
“Analyze this code from security, performance, and quality perspectives, and then provide me with a consolidated summary of findings and recommendations.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
You define which specialized 'intelligences' (agents) should be used and in what order. The AI then runs each agent, passes important information between them, and finally compiles a final report with all contributions.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill parallel-agentsOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/parallel-agents/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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
…
FAQ
What types of 'intelligences' (agents) are available?
There are agents for security, backend, frontend, testing, DevOps, database, mobile, API design, debugging, code exploration, documentation, performance optimization, project planning, SEO, and game development.
What happens after the agents finish?
A final report is created, summarizing what was done, each agent's contributions, and consolidated recommendations with action items.
Can I use this for simple tasks?
No, this tool is ideal for complex tasks that benefit from multiple specialties. For simple tasks, a single agent is sufficient.
Details
Original description by the author
Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
Popularity
- GitHub stars
- 48k
- Ranking position
- #3792
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
More skills from this repository
00-andruia-consultant
Helps your agent start or improve AI projects. It analyzes code, suggests tools, and creates action plans in Spanish.
sickn33/agentic-awesome-skills
007
Lets your agent perform security audits and threat modeling. It's useful for protecting projects against attacks and vulnerabilities.
sickn33/agentic-awesome-skills
10-andruia-skill-smith
Helps your agent create or improve AI tools. It defines how tools work, writes documentation, and validates the structure.
sickn33/agentic-awesome-skills
20-andruia-niche-intelligence
Lets your agent create a summary about a specific industry. It's useful for understanding the context, rules, usage patterns, and risks of a project, using reliable sources.
sickn33/agentic-awesome-skills
Similar skills
agent-architecture-audit
Makes your agent check if everything is working correctly. It finds and fixes problems in AI systems, ensuring they perform as expected.
affaan-m/ECC
agent-eval
Helps your agent compare different AI coding tools. It measures which one is faster, cheaper, and more reliable for specific tasks.
affaan-m/ECC
agent-harness-construction
Makes your agent better understand how to perform tasks. It optimizes the tools and instructions the agent uses to increase its chances of success.
affaan-m/ECC