sickn33/agentic-awesome-skills

parallel-agents

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

First seen Jan 20, 2026

Installation

$ npx skills add sickn33/agentic-awesome-skills --skill parallel-agents

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 46.2K
License LICENSE
Default branch main
Open issues 0
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 5,682 B
  • docs SUMMARY.md 194 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 755 installs

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

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.