Game Dev Teams

team-polish

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

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

### Team Polish

  • description: "Orchestrate the polish team: coordinates performance-analyst, technical-artist, sound-designer, and qa-tester to optimize, polish, and harden a feature or area for release quality."
  • argument-hint: "[feature or area to polish]"
  • allowed-tools: Read, Glob, Grep, Write, Edit, Bash, Task, AskUserQuestion, TodoWrite
skill.md

If no argument is provided, output usage guidance and exit without spawning any agents:

Usage: /team-polish [feature or area] — specify the feature or area to polish (e.g., combat, main menu, inventory system, level-1). Do not use AskUserQuestion here; output the guidance directly.

When this skill is invoked with an argument, orchestrate the polish team through a structured 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

  • performance-analyst — Profiling, optimization, memory analysis, frame budget
  • engine-programmer — Engine-level bottlenecks: rendering pipeline, memory, resource loading (invoke when performance-analyst identifies low-level root causes)
  • technical-artist — VFX polish, shader optimization, visual quality
  • sound-designer — Audio polish, mixing, ambient layers, feedback sounds
  • tools-programmer — Content pipeline tool verification, editor tool stability, automation fixes (invoke when content authoring tools are involved in the polished area)
  • qa-tester — Edge case testing, regression testing, soak testing

How to Delegate

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

  • subagent_type: performance-analyst — Profiling, optimization, memory analysis
  • subagent_type: engine-programmer — Engine-level fixes for rendering, memory, resource loading
  • subagent_type: technical-artist — VFX polish, shader optimization, visual quality
  • subagent_type: sound-designer — Audio polish, mixing, ambient layers
  • subagent_type: tools-programmer — Content pipeline and editor tool verification
  • subagent_type: qa-tester — Edge case testing, regression testing, soak testing

Always provide full context in each agent's prompt (target feature/area, performance budgets, known issues). Launch independent agents in parallel where the pipeline allows it (e.g., Phases 3 and 4 can run simultaneously).

Pipeline

Phase 1: Assessment

Delegate to performance-analyst:

  • Profile the target feature/area using /perf-profile
  • Identify performance bottlenecks and frame budget violations
  • Measure memory usage and check for leaks
  • Benchmark against target hardware specs
  • Output: performance report with prioritized optimization list

Phase 2: Optimization

Delegate to performance-analyst (with relevant programmers as needed):

  • Fix performance hotspots identified in Phase 1
  • Optimize draw calls, reduce overdraw
  • Fix memory leaks and reduce allocation pressure
  • Verify optimizations don't change gameplay behavior
  • Output: optimized code with before/after metrics

If Phase 1 identified engine-level root causes (rendering pipeline, resource loading, memory allocator), delegate those fixes to engine-programmer in parallel:

  • Optimize hot paths in engine systems
  • Fix allocation pressure in core loops
  • Output: engine-level fixes with profiler validation

Phase 3: Visual Polish (parallel with Phase 2)

Delegate to technical-artist:

  • Review VFX for quality and consistency with art bible
  • Optimize particle systems and shader effects
  • Add screen shake, camera effects, and visual juice where appropriate
  • Ensure effects degrade gracefully on lower settings
  • Output: polished visual effects

Phase 4: Audio Polish (parallel with Phase 2)

Delegate to sound-designer:

  • Review audio events for completeness (are any actions missing sound feedback?)
  • Check audio mix levels — nothing too loud or too quiet relative to the mix
  • Add ambient audio layers for atmosphere
  • Verify audio plays correctly with spatial positioning
  • Output: audio polish list and mixing notes

Phase 5: Hardening

Delegate to qa-tester:

  • Test all edge cases: boundary conditions, rapid inputs, unusual sequences
  • Soak test: run the feature for extended periods checking for degradation
  • Stress test: maximum entities, worst-case scenarios
  • Regression test: verify polish changes haven't broken existing functionality
  • Test on minimum spec hardware (if available)
  • Output: test results with any remaining issues

Phase 6: Sign-off

  • Collect results from all team members
  • Compare performance metrics against budgets
  • Report: READY FOR RELEASE / NEEDS MORE WORK
  • List any remaining issues with severity and recommendations

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.

Common blockers:

  • Input file missing (story not found, GDD absent) → redirect to the skill that creates it
  • ADR status is Proposed → do not implement; run /architecture-decision first
  • Scope too large → split into two stories via /create-stories
  • Conflicting instructions between ADR and story → surface the conflict, do not guess

File Write Protocol

All file writes (performance reports, test results, evidence docs) 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 report covering: performance before/after metrics, visual polish changes, audio polish changes, test results, and release readiness assessment.

Next Steps

  • If READY FOR RELEASE: run /release-checklist for the final pre-release validation.
  • If NEEDS MORE WORK: schedule remaining issues in /sprint-plan update and re-run /team-polish after fixes.
  • Run /gate-check for a formal phase gate verdict before handing off to release.
general reviews

Ratings

4.643 reviews
  • Neel Abebe· Dec 24, 2024

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

  • Shikha Mishra· Dec 20, 2024

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

  • Alexander Sanchez· Dec 16, 2024

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

  • Kofi Kapoor· Dec 4, 2024

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

  • Anika Singh· Nov 23, 2024

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

  • Nikhil Bansal· Nov 7, 2024

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

  • Anika Harris· Nov 3, 2024

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

  • Aanya Taylor· Oct 26, 2024

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

  • Min Menon· Oct 22, 2024

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

  • Daniel Abbas· Oct 14, 2024

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

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