team-communication-protocols

wshobson/agents · updated Apr 8, 2026

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$npx skills add https://github.com/wshobson/agents --skill team-communication-protocols
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summary

Structured messaging protocols for coordinating agent teams through direct messages, broadcasts, plan approvals, and graceful shutdown.

  • Three message types: message for direct teammate coordination, broadcast for critical shared-resource updates, and shutdown_request for graceful termination with approval workflows
  • Plan approval workflow where teammates in plan mode submit proposals to a lead for review and feedback before execution
  • Shutdown protocol with rejection handling: lead sen
skill.md

Team Communication Protocols

Protocols for effective communication between agent teammates, including message type selection, plan approval workflows, shutdown procedures, and common anti-patterns to avoid.

When to Use This Skill

  • Establishing communication norms for a new team
  • Choosing between message types (message, broadcast, shutdown_request)
  • Handling plan approval workflows
  • Managing graceful team shutdown
  • Discovering teammate identities and capabilities

Message Type Selection

message (Direct Message) — Default Choice

Send to a single specific teammate:

{
  "type": "message",
  "recipient": "implementer-1",
  "content": "Your API endpoint is ready. You can now build the frontend form.",
  "summary": "API endpoint ready for frontend"
}

Use for: Task updates, coordination, questions, integration notifications.

broadcast — Use Sparingly

Send to ALL teammates simultaneously:

{
  "type": "broadcast",
  "content": "Critical: shared types file has been updated. Pull latest before continuing.",
  "summary": "Shared types updated"
}

Use ONLY for: Critical blockers affecting everyone, major changes to shared resources.

Why sparingly?: Each broadcast sends N separate messages (one per teammate), consuming API resources proportional to team size.

shutdown_request — Graceful Termination

Request a teammate to shut down:

{
  "type": "shutdown_request",
  "recipient": "reviewer-1",
  "content": "Review complete, shutting down team."
}

The teammate responds with shutdown_response (approve or reject with reason).

Communication Anti-Patterns

Anti-Pattern Problem Better Approach
Broadcasting routine updates Wastes resources, noise Direct message to affected teammate
Sending JSON status messages Not designed for structured data Use TaskUpdate to update task status
Not communicating at integration points Teammates build against stale interfaces Message when your interface is ready
Micromanaging via messages Overwhelms teammates, slows work Check in at milestones, not every step
Using UUIDs instead of names Hard to read, error-prone Always use teammate names
Ignoring idle teammates Wasted capacity Assign new work or shut down

Plan Approval Workflow

When a teammate is spawned with plan_mode_required:

  1. Teammate creates a plan using read-only exploration tools
  2. Teammate calls ExitPlanMode which sends a plan_approval_request to the lead
  3. Lead reviews the plan
  4. Lead responds with plan_approval_response:

Approve:

{
  "type": "plan_approval_response",
  "request_id": "abc-123",
  "recipient": "implementer-1",
  "approve": true
}

Reject with feedback:

{
  "type": "plan_approval_response",
  "request_id": "abc-123",
  "recipient": "implementer-1",
  "approve": false,
  "content": "Please add error handling for the API calls"
}

Shutdown Protocol

Graceful Shutdown Sequence

  1. Lead sends shutdown_request to each teammate
  2. Teammate receives request as a JSON message with type: "shutdown_request"
  3. Teammate responds with shutdown_response:
    • approve: true — Teammate saves state and exits
    • approve: false + reason — Teammate continues working
  4. Lead handles rejections — Wait for teammate to finish, then retry
  5. After all teammates shut down — Call Teammate cleanup

Handling Rejections

If a teammate rejects shutdown:

  • Check their reason (usually "still working on task")
  • Wait for their current task to complete
  • Retry shutdown request
  • If urgent, user can force shutdown

Teammate Discovery

Find team members by reading the config file:

Location: ~/.claude/teams/{team-name}/config.json

Structure:

{
  "members": [
    {
      "name": "security-reviewer",
      "agentId": "uuid-here",
      "agentType": "team-reviewer"
    },
    {
      "name": "perf-reviewer",
      "agentId": "uuid-here",
      "agentType": "team-reviewer"
    }
  ]
}

Always use name for messaging and task assignment. Never use agentId directly.

Troubleshooting

A teammate is not responding to messages. Check the teammate's task status. If it is idle, it may have completed its task and is waiting to be assigned new work or shut down. If it is still active, it may be mid-execution and will process messages once the current operation finishes.

The lead is sending broadcasts for every status update. This is a common anti-pattern. Broadcasts are expensive — each one sends N messages. Use direct messages (type: "message") for point-to-point updates. Reserve broadcasts for critical shared-resource changes like an updated interface contract.

A teammate rejected a shutdown request unexpectedly. The teammate is still working. Check the rejection reason in the shutdown_response content field, wait for the work to finish, then retry. Never force-terminate a teammate that has unsaved work.

A plan_approval_request arrived but the request_id is missing. The teammate called ExitPlanMode without the required request context. Have the teammate re-enter plan mode, complete exploration, and call ExitPlanMode again. The request_id is generated automatically by the plan mode system.

Two teammates are waiting on each other and neither is making progress. This is a deadlock: both are blocked waiting for the other to finish first. The lead should send a direct message to one teammate with a stub or partial result so it can unblock and proceed.

Related Skills

how to use team-communication-protocols

How to use team-communication-protocols 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 team-communication-protocols
2

Execute installation command

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

$npx skills add https://github.com/wshobson/agents --skill team-communication-protocols

The skills CLI fetches team-communication-protocols from GitHub repository wshobson/agents 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/team-communication-protocols

Reload or restart Cursor to activate team-communication-protocols. Access the skill through slash commands (e.g., /team-communication-protocols) 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.

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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)
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general reviews

Ratings

4.768 reviews
  • Nia Zhang· Dec 28, 2024

    team-communication-protocols has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Charlotte Thompson· Dec 24, 2024

    Solid pick for teams standardizing on skills: team-communication-protocols is focused, and the summary matches what you get after install.

  • Nia Kapoor· Dec 16, 2024

    We added team-communication-protocols from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Ira Martinez· Dec 12, 2024

    team-communication-protocols fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Charlotte Martinez· Dec 12, 2024

    Solid pick for teams standardizing on skills: team-communication-protocols is focused, and the summary matches what you get after install.

  • Ganesh Mohane· Dec 8, 2024

    team-communication-protocols reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Shikha Mishra· Dec 8, 2024

    Keeps context tight: team-communication-protocols is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Sakshi Patil· Nov 27, 2024

    I recommend team-communication-protocols for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Maya Zhang· Nov 19, 2024

    team-communication-protocols fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Isabella Rao· Nov 15, 2024

    We added team-communication-protocols from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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