parallel-agents

davila7/claude-code-templates · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/davila7/claude-code-templates --skill parallel-agents
0 commentsdiscussion
summary

Orchestration through Claude Code's built-in Agent Tool

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
how to use parallel-agents

How to use parallel-agents on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add parallel-agents
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/davila7/claude-code-templates --skill parallel-agents

The skills CLI fetches parallel-agents from GitHub repository davila7/claude-code-templates and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/parallel-agents

Reload or restart Cursor to activate parallel-agents. Access the skill through slash commands (e.g., /parallel-agents) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.667 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.

showing 1-10 of 67

1 / 7