Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/andrewhaward2310-parallel-agents
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions: not checked yet.
What's inside
- Skill name
parallel-agents- Description
- Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.
- License
- MIT
- Allowed tools
- Read,, Glob,, Grep
- Instructions
- 171 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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 |
From AndrewHaward2310/.agents, MIT.
More from AndrewHaward2310/.agents
- 0.409score
voice-ai-development
AndrewHaward2310
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps.
SkillDFreshness: DClaude Code +9 - 0.409score
langfuse
AndrewHaward2310
Expert in Langfuse - the open-source LLM observability platform.
SkillDFreshness: DClaude Code +9 - 0.409score
langgraph
AndrewHaward2310
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-caching
AndrewHaward2310
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache…
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-engineering
AndrewHaward2310
Expert guide on prompt engineering patterns, best practices, and optimization techniques.
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-library
AndrewHaward2310
Curated collection of high-quality prompts for various use cases.
SkillDFreshness: DClaude Code +9 - 0.409score
personal-tool-builder
AndrewHaward2310
Expert in building custom tools that solve your own problems first.
SkillDFreshness: DClaude Code +9 - 0.406score
research-engineer
AndrewHaward2310
An uncompromising Academic Research Engineer.
SkillDFreshness: DClaude Code +9 - 0.401score
llm-app-patterns
AndrewHaward2310
Production-ready patterns for building LLM applications.
SkillDFreshness: DClaude Code +9 - 0.390score
mcp-builder
AndrewHaward2310
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools.
SkillDFreshness: DClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Feb 10, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/AndrewHaward2310/.agents
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from AndrewHaward2310
- 0.409score
voice-ai-development
AndrewHaward2310
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps.
SkillDFreshness: DClaude Code +9 - 0.409score
langfuse
AndrewHaward2310
Expert in Langfuse - the open-source LLM observability platform.
SkillDFreshness: DClaude Code +9 - 0.409score
langgraph
AndrewHaward2310
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications.
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-caching
AndrewHaward2310
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache…
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-engineering
AndrewHaward2310
Expert guide on prompt engineering patterns, best practices, and optimization techniques.
SkillDFreshness: DClaude Code +9 - 0.409score
prompt-library
AndrewHaward2310
Curated collection of high-quality prompts for various use cases.
SkillDFreshness: DClaude Code +9
Cite this page
parallel-agents skill. Agent Mart. https://agentmart.dev/skills/andrewhaward2310-parallel-agents (last updated 2026-10-24)