team-live-ops

Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026

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

$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill team-live-ops
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summary

### Team Live Ops

  • description: "Orchestrate the live-ops team for post-launch content planning: coordinates live-ops-designer, economy-designer, analytics-engineer, community-manager, writer, and narrative-director to
  • argument-hint: "[season name or event description]"
  • allowed-tools: Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite
skill.md
name
team-live-ops
description
"Orchestrate the live-ops team for post-launch content planning: coordinates live-ops-designer, economy-designer, analytics-engineer, community-manager, writer, and narrative-director to design and plan a season, event, or live content update."
argument-hint
"[season name or event description]"
user-invocable
true
allowed-tools
Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite

Argument check: If no season name or event description is provided, output:

"Usage: /team-live-ops [season name or event description] — Provide the name or description of the season or live event to plan." Then stop immediately without spawning any subagents or reading any files.

When this skill is invoked with a valid argument, orchestrate the live-ops team through a structured planning pipeline.

Decision Points: At each phase transition, use AskUserQuestion to present the user with the subagent's proposals as selectable options. Write the agent's full analysis in conversation, then capture the decision with concise labels. The user must approve before moving to the next phase.

Team Composition

  • live-ops-designer — Season structure, event cadence, retention mechanics, battle pass
  • economy-designer — Live economy balance, store rotation, currency pricing, pity timers
  • analytics-engineer — Success metrics, A/B test design, event tracking, dashboard specs
  • community-manager — Player-facing announcements, event descriptions, seasonal messaging
  • narrative-director — Seasonal narrative theme, story arc, world event framing
  • writer — Event descriptions, reward item names, seasonal flavor text, announcement copy

How to Delegate

Use the Task tool to spawn each team member as a subagent:

  • subagent_type: live-ops-designer — Season/event structure and retention mechanics
  • subagent_type: economy-designer — Live economy balance and reward pricing
  • subagent_type: analytics-engineer — Success metrics, A/B tests, event instrumentation
  • subagent_type: community-manager — Player-facing communication and messaging
  • subagent_type: narrative-director — Seasonal theme and narrative framing
  • subagent_type: writer — All player-facing text: event descriptions, item names, copy

Always provide full context in each agent's prompt (game concept path, existing season docs, ethics policy path, current economy state). Launch independent agents in parallel where the pipeline allows it (Phases 3 and 4 can run simultaneously).

Pipeline

Phase 1: Season/Event Scoping

Delegate to live-ops-designer:

  • Define the season or event: type (seasonal, limited-time event, challenge), duration, theme direction
  • Outline the content list: what's new (modes, items, challenges, story beats)
  • Define the retention hook: what brings players back daily/weekly during this season
  • Identify resource budget: how much new content needs to be created vs. reused
  • Output: season brief with scope, content list, and retention mechanic overview

Phase 2: Narrative Theme

Delegate to narrative-director:

  • Read the season brief from Phase 1
  • Design the seasonal narrative theme: how does this event connect to the game world?
  • Define the central story hook players will discover during the event
  • Identify which existing lore threads this season can advance
  • Output: narrative framing document (theme, story hook, lore connections)

Phase 3: Economy Design (parallel with Phase 2 if theme is clear)

Delegate to economy-designer:

  • Read the season brief and existing economy rules from design/live-ops/economy-rules.md
  • Design the reward track: free tier progression, premium tier value proposition
  • Plan the in-season economy: seasonal currency, store rotation, pricing
  • Define pity timer mechanics and bad-luck protection for any random elements
  • Verify no pay-to-win items in premium track
  • Output: economy design doc with reward tables, pricing, and currency flow

Phase 4: Analytics and Success Metrics (parallel with Phase 3)

Delegate to analytics-engineer:

  • Read the season brief
  • Define success metrics: participation rate target, retention lift target, battle pass completion rate
  • Design any A/B tests to run during the season (e.g., different reward cadences)
  • Specify new telemetry events needed for this season's content
  • Output: analytics plan with success criteria and instrumentation requirements

Phase 5: Content Writing (parallel)

Delegate in parallel:

  • narrative-director (if needed): Write any in-game narrative text (cutscene scripts, NPC dialogue, world event descriptions) for the season
  • writer: Write all player-facing text — event names, reward item descriptions, challenge objective text, seasonal flavor text
  • Both should read the narrative framing doc from Phase 2

Phase 6: Player Communication Plan

Delegate to community-manager:

  • Read the season brief, economy design, and narrative framing
  • Draft the season launch announcement (tone, key highlights, platform-specific versions)
  • Plan the communication cadence: pre-launch teaser, launch day post, mid-season reminder, final week FOMO push
  • Draft known-issues section placeholder for day-1 patch notes
  • Output: communication calendar with draft copy for each touchpoint

Phase 7: Review and Sign-off

Collect outputs from all phases and present a consolidated season plan:

  • Season brief (Phase 1)
  • Narrative framing (Phase 2)
  • Economy design and reward tables (Phase 3)
  • Analytics plan and success metrics (Phase 4)
  • Written content inventory (Phase 5)
  • Communication calendar (Phase 6)

Present a summary to the user with:

  • Content scope: what is being created
  • Economy health check: does the reward track feel fair and non-predatory?
  • Analytics readiness: are success criteria defined and instrumented?
  • Ethics review: check the Phase 3 economy design against design/live-ops/ethics-policy.md
    • If the file does not exist: flag "ETHICS REVIEW SKIPPED: design/live-ops/ethics-policy.md not found. Economy design was not reviewed against an ethics policy. Recommend creating one before production begins." Include this flag in the season design output document. Add to next steps: create design/live-ops/ethics-policy.md.
    • If the file exists and a violation is found: flag "ETHICS FLAG: [element] in Phase 3 economy design violates [policy rule]. Approval is blocked until this is resolved." Do NOT issue a COMPLETE verdict or write output documents. Use AskUserQuestion with options: revise economy design / override with documented rationale / cancel. If user chooses to revise: re-spawn economy-designer to produce a corrected design, then return to Phase 7 review.
  • Open questions: decisions still needed before production begins

Ask the user to approve the season plan before delegating to production teams. Issue the COMPLETE verdict only after the user approves and no unresolved ethics violations remain. If an ethics violation is unresolved, end with Verdict: BLOCKED.

Output Documents

All documents save to design/live-ops/:

  • seasons/S[N]_[name].md — Season design document (from Phase 1-3)
  • seasons/S[N]_[name]_analytics.md — Analytics plan (from Phase 4)
  • seasons/S[N]_[name]_comms.md — Communication calendar (from Phase 6)

Error Recovery Protocol

If any spawned agent (via Task) returns BLOCKED, errors, or cannot complete:

  1. Surface immediately: Report "[AgentName]: BLOCKED — [reason]" to the user before continuing to dependent phases
  2. Assess dependencies: Check whether the blocked agent's output is required by subsequent phases. If yes, do not proceed past that dependency point without user input.
  3. Offer options via AskUserQuestion with choices:
    • Skip this agent and note the gap in the final report
    • Retry with narrower scope
    • Stop here and resolve the blocker first
  4. Always produce a partial report — output whatever was completed. Never discard work because one agent blocked.

If a BLOCKED state is unresolvable, end with Verdict: BLOCKED instead of COMPLETE.

File Write Protocol

All file writes (season design docs, analytics plans, communication calendars) are delegated to sub-agents spawned via Task. Each sub-agent enforces the "May I write to [path]?" protocol. This orchestrator does not write files directly.

Output

A summary covering: season theme and scope, economy design highlights, success metrics, content list, communication plan, and any open decisions needing user input before production.

Verdict: COMPLETE — season plan produced and handed off for production.

Next Steps

  • Run /design-review on the season design document for consistency validation.
  • Run /sprint-plan to schedule content creation work for the season.
  • Run /team-release when the season content is ready to deploy.
how to use team-live-ops

How to use team-live-ops 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-live-ops
2

Execute installation command

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

$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill team-live-ops

The skills CLI fetches team-live-ops from GitHub repository Donchitos/Claude-Code-Game-Studios 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-live-ops

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

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

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

Ratings

4.548 reviews
  • Tariq Haddad· Dec 16, 2024

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

  • Anaya Menon· Dec 8, 2024

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

  • Isabella Iyer· Dec 8, 2024

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

  • Tariq Perez· Nov 27, 2024

    Registry listing for team-live-ops matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kaira Thompson· Nov 27, 2024

    team-live-ops is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kofi Perez· Nov 7, 2024

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

  • Benjamin Chen· Nov 3, 2024

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

  • Charlotte Ghosh· Oct 26, 2024

    team-live-ops is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Aditi Park· Oct 22, 2024

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

  • Tariq Choi· Oct 18, 2024

    Useful defaults in team-live-ops — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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