Team Polish

Team Polish

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

Usage: /team-polish [feature or area to polish] [--review full|lean|solo] — 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. In collaborative mode, the user must approve before moving to the next phase. In guided mode the pipeline advances automatically unless a phase is BLOCKED; in autonomous mode it runs end to end, recording each phase outcome via log_decision. Decisions in automation_always_ask categories (is_always_ask_category helper) always prompt regardless of mode. See .claude/docs/automation-modes.md.

Phase 0: Resolve Config

!bash "${CLAUDE_SKILL_DIR}/../../hooks/yaml-helper.sh" resolve_config --keys review_mode,automation,team.size,workflow

Resolved above — use as-is; --review overrides review_mode. No block → defaults in .claude/docs/config-resolution.md.

review_mode sets director-gate depth, and this pipeline has no director gate: no phase below spawns CD-, TD-, PR- or AD-PHASE-GATE, at any review_mode. Its phase gates are the pipeline's own decision points (defined under team.size below), and the agents that work at them are team members, not director gates.

automation drives the Decision Points note above. See the Decision Points note above and .claude/docs/automation-modes.md for how each mode changes pipeline behavior.

team.size: which agents are active (orthogonal to review_mode gate-depth and workflow docs).

• individual (default): performance-analyst + technical-artist. Other agents consulted via these two, not spawned separately. No programmer is active, so the optimisation list's programmer items are not implemented in this run — the report names the list as handed to /dev-story (Phase 2).
• small: + sound-designer + qa-tester + engine-programmer, and tools-programmer when Phase 1 traces a cause to a content authoring tool (the full pipeline as documented).
• studio: the small set, engine-programmer included, + an adversarial review pass: Phase 5's qa-tester is told "your job is not to confirm this holds — find how it breaks", and the report says the pass ran. This pipeline has no engine specialist to widen; engine-level work stays with engine-programmer. A non-core agent needed at individual routes through the nearest active core agent with an informational note. "Phase gate" means any phase that ends in an AskUserQuestion decision point this pipeline itself lists — a transition under Decision Points above, or a Gate step written into the pipeline below — whatever the automation mode. guided and autonomous change how a gate is passed (it auto-advances, or is recorded with log_decision), not whether it is one, so bounded-exception condition (3) below holds at it in every mode. An agent restricted to "phase gates only" is spawned at those points and no others. This active-set scoping applies throughout the pipeline below: any phase that names an agent outside the active set routes through the nearest core agent rather than spawning it.

Announce the active set before Phase 1 — never let the collapse be silent. Before spawning anything, state in one line which agents this run will actually spawn, and which the pipeline below names but will not spawn at the resolved team.size. For example:

Active set (team.size: <resolved>): <the agents listed for that size above>. Not spawned this run: <every other agent this pipeline names> — consulted through <nearest active core agent>. Raise team.size (or modes.rigor) to widen.

Fill it from the team.size list directly above and the agents this file's own pipeline names — not from an example. Both sets differ per orchestrator.

The pipeline below reads as a multi-agent fan-out and at the shipped default it is one or two agents — team-release names ten and runs one, team-narrative names six across five phases and runs writer alone. The collapse is correct: team.size is rigor-fronted and the narrow default is the token lever. Without saying so, a reader cannot distinguish a correctly-collapsed run from a broken pipeline, and the per-agent "routes through the nearest core agent with an informational note" rule above fires at routing time and never states the shape of the run as a whole.

This is the same rule as the skipped-check reporting elsewhere in this file: a constraint that is enforced but never surfaced is indistinguishable, to the person reading the output, from one that was never enforced.

Team Composition

• performance-analyst — Profiling, memory analysis, frame budget, and the optimisation list — it writes no game code
• engine-programmer — Implements the optimisation list's engine-level items: rendering pipeline, memory, resource loading, hot paths (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 (Phase 2, when Phase 1 traces a cause to a content authoring tool)
• qa-tester — Edge case testing, regression testing, soak testing

How to Delegate

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

• subagent_type: performance-analyst — Profiling, memory analysis, the optimisation list
• subagent_type: engine-programmer — Engine-level fixes from the optimisation list: 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 fixes from the optimisation list
• subagent_type: qa-tester — Edge case testing, regression testing, soak testing

Brief each agent — do not dump context. Read the shared inputs once and pass a distilled brief inline: the lines each agent actually needs, never a file path for a document you have already read (an agent handed a path re-reads the whole file). Pass a path only for a document you have not read and only that agent needs.

End every agent prompt with a return contract: "Write your full output to [path] — that named path is your write authorisation under the bounded exception below, so write it without a separate approval prompt. Return only (1) the path written, (2) a ≤5-bullet summary of decisions, (3) any BLOCKED/CONCERNS items, one line each. Do not restate the documents you read." Without it, an agent returns everything it read back into this session. Implementation files are the exception: an agent writing code or assets first returns the files it will create or change, and its return contract names them only after you have asked once for the set and the user said yes (File Write Protocol) — that answer, not the bounded exception, authorises those writes.

Substitute a real path for [path] — this skill's destination is production/polish/. Name it per agent, one file each:

Why production/ and not docs/. These are date-stamped measurements of one run, the same shape as production/qa/smoke-[date].md — not durable specifications like docs/architecture/. Keeping them beside the other point-in-time process artifacts is what makes a later comparison possible.

The [path] contract above has a precondition: the path is one you named, so a concrete destination must be stated here or every run invents one. Unlike /team-qa and /team-narrative, whose destinations are fixed by their consumers, this location has no reader in the repo and was chosen deliberately. Nothing reads production/polish/ yet — say so when reporting, so the user knows the report is a record rather than an input to a later gate.

Why this does not violate the Collaboration Protocol. CLAUDE.md requires an agent to ask "May I write this to [filepath]?" before Write/Edit. A subagent spawned here writes without asking, and that is a deliberate, bounded exception rather than an oversight — the same call already made for consistency-check appending to active.md. The exception holds only when all three are true: (1) the path is one you named in the prompt, so the user approved the destination when they approved the phase; (2) it is a new artifact under production/, docs/ or tests/, never an edit to existing source or config; (3) the phase that produced it is itself gated by an AskUserQuestion before the pipeline advances. Outside those three, the agent must ask. Do not "fix" this by asking per subagent — a prompt per agent per phase makes an orchestrator unusable, which is why the exception exists.

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 the prioritized optimisation list — for each item, the change, its expected gain against the budget, and its owner (technical-artist for rendering-side changes, engine-programmer for engine systems and hot paths, tools-programmer for a content authoring tool, otherwise the programmer who owns the system)