design-review▌
Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026
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### Design Review
- ›description: "Reviews a game design document for completeness, internal consistency, implementability, and adherence to project design standards. Run this before handing a design document to programme
- ›argument-hint: "[path-to-design-doc] [--depth full|lean|solo]"
- ›allowed-tools: Read, Glob, Grep, Write, Edit, Task, AskUserQuestion
| name | design-review |
| description | "Reviews a game design document for completeness, internal consistency, implementability, and adherence to project design standards. Run this before handing a design document to programmers." |
| argument-hint | "[path-to-design-doc] [--depth full|lean|solo]" |
| user-invocable | true |
| allowed-tools | Read, Glob, Grep, Write, Edit, Task, AskUserQuestion |
Phase 0: Parse Arguments
Extract --depth [full|lean|solo] if present. Default is full when no flag is given.
Note: --depth controls the analysis depth of this skill (how many specialist agents are spawned). It is independent of the global review mode in production/review-mode.txt, which controls director gate spawning. These are two different concepts — --depth is about how thoroughly this skill analyses the document.
full: Complete review — all phases + specialist agent delegation (Phase 3b)lean: All phases, no specialist agents — faster, single-session analysissolo: Phases 1-4 only, no delegation, no Phase 5 next-step prompt — use when called from within another skill
Phase 1: Load Documents
Read the target design document in full. Read CLAUDE.md to understand project context and standards. Read related design documents referenced or implied by the target doc (check design/gdd/ for related systems).
Dependency graph validation: For every system listed in the Dependencies section, use Glob to check whether its GDD file exists in design/gdd/. Flag any that don't exist yet — these are broken references that downstream authors will hit.
Lore/narrative alignment: If design/gdd/game-concept.md or any file in design/narrative/ exists, read it. Note any mechanical choices in this GDD that contradict established world rules, tone, or design pillars. Pass this context to game-designer in Phase 3b.
Prior review check: Check whether design/gdd/reviews/[doc-name]-review-log.md exists. If it does, read the most recent entry — note what verdict was given and what blocking items were listed. This session is a re-review; track whether prior items were addressed.
Phase 2: Completeness Check
Evaluate against the Design Document Standard checklist:
- Has Overview section (one-paragraph summary)
- Has Player Fantasy section (intended feeling)
- Has Detailed Rules section (unambiguous mechanics)
- Has Formulas section (all math defined with variables)
- Has Edge Cases section (unusual situations handled)
- Has Dependencies section (other systems listed)
- Has Tuning Knobs section (configurable values identified)
- Has Acceptance Criteria section (testable success conditions)
Phase 3: Consistency and Implementability
Internal consistency:
- Do the formulas produce values that match the described behavior?
- Do edge cases contradict the main rules?
- Are dependencies bidirectional (does the other system know about this one)?
Implementability:
- Are the rules precise enough for a programmer to implement without guessing?
- Are there any "hand-wave" sections where details are missing?
- Are performance implications considered?
Cross-system consistency:
- Does this conflict with any existing mechanic?
- Does this create unintended interactions with other systems?
- Is this consistent with the game's established tone and pillars?
Phase 3b: Adversarial Specialist Review (full mode only)
Skip this phase in lean or solo mode.
This phase is MANDATORY in full mode. Do not skip it.
Before spawning any agents, print this notice:
"Full review: spawning specialist agents in parallel. This typically takes 8–15 minutes. Use
--review leanfor faster single-session analysis."
Step 1 — Identify all domains the GDD touches
Read the GDD and identify every domain present. A GDD can touch multiple domains simultaneously — be thorough. Common signals:
| If the GDD contains... | Spawn these agents |
|---|---|
| Costs, prices, drops, rewards, economy | economy-designer |
| Combat stats, damage, health, DPS | game-designer, systems-designer |
| AI behaviour, pathfinding, targeting | ai-programmer |
| Level layout, spawning, wave structure | level-designer |
| Player progression, XP, unlocks | economy-designer, game-designer |
| UI, HUD, menus, player-facing displays | ux-designer, ui-programmer |
| Dialogue, quests, story, lore | narrative-director |
| Animation, feel, timing, juice | gameplay-programmer |
| Multiplayer, sync, replication | network-programmer |
| Audio cues, music triggers | audio-director |
| Performance, draw calls, memory | performance-analyst |
| Engine-specific patterns or APIs | Primary engine specialist (from .claude/docs/technical-preferences.md) |
| Acceptance criteria, test coverage | qa-lead |
| Data schema, resource structure | systems-designer |
| Any gameplay system | game-designer (always) |
Always spawn game-designer and systems-designer as a baseline minimum. Every GDD touches their domain.
Step 2 — Spawn all relevant specialists in parallel
CRITICAL: Task in this skill spawns a SUBAGENT — a separate independent Claude session with its own context window. It is NOT task tracking. Do NOT simulate specialist perspectives internally. Do NOT reason through domain views yourself. You MUST issue actual Task calls. A simulated review is not a specialist review.
Issue all Task calls simultaneously. Do NOT spawn one at a time.
Prompt each specialist adversarially:
"Here is the GDD for [system] and the main review's structural findings so far. Your job is NOT to validate this design — your job is to find problems. Challenge the design choices from your domain expertise. What is wrong, underspecified, likely to cause problems, or missing entirely? Be specific and critical. Disagreement with the main review is welcome."
Additional instructions per agent type:
-
game-designer: Anchor your review to the Player Fantasy stated in Section B of this GDD. Does this design actually deliver that fantasy? Would a player feel the intended experience? Flag any rules that serve implementability but undermine the stated feeling. -
systems-designer: For every formula in the GDD, plug in boundary values (minimum and maximum plausible inputs). Report whether any outputs go degenerate — negative values, division by zero, infinity, or nonsensical results at the extremes. -
qa-lead: Review every acceptance criterion. Flag any that are not independently testable — phrases like "feels balanced", "works correctly", "performs well" are not ACs. Suggest concrete rewrites for any that fail this test.
Step 3 — Senior lead review
After all specialists respond, spawn creative-director as the senior reviewer:
- Provide: the GDD, all specialist findings, any disagreements between them
- Ask: "Synthesise these findings. What are the most important issues? Do you agree with the specialists? What is your overall verdict on this design?"
- The creative-director's synthesis becomes the final verdict in Phase 4.
Step 4 — Surface disagreements
If specialists disagree with each other or with the creative-director, do NOT silently pick one view. Present the disagreement explicitly in Phase 4 so the user can adjudicate.
Mark every finding with its source: [game-designer], [economy-designer], [creative-director] etc.
Phase 4: Output Review
## Design Review: [Document Title]
Specialists consulted: [list agents spawned]
Re-review: [Yes — prior verdict was X on YYYY-MM-DD / No — first review]
### Completeness: [X/8 sections present]
[List missing sections]
### Dependency Graph
[List each declared dependency and whether its GDD file exists on disk]
- ✓ enemy-definition-data.md — exists
- ✗ loot-system.md — NOT FOUND (file does not exist yet)
### Required Before Implementation
[Numbered list — blocking issues only. Each item tagged with source agent.]
### Recommended Revisions
[Numbered list — important but not blocking. Source-tagged.]
### Specialist Disagreements
[Any cases where agents disagreed with each other or with the main review.
Present both sides — do not silently resolve.]
### Nice-to-Have
[Minor improvements, low priority.]
### Senior Verdict [creative-director]
[Creative director's synthesis and overall assessment.]
### Scope Signal
Estimate implementation scope based on: dependency count, formula count,
systems touched, and whether new ADRs are required.
- **S** — single system, no formulas, no new ADRs, <3 dependencies
- **M** — moderate complexity, 1-2 formulas, 3-6 dependencies
- **L** — multi-system integration, 3+ formulas, may require new ADR
- **XL** — cross-cutting concern, 5+ dependencies, multiple new ADRs likely
Label clearly: "Rough scope signal: M (producer should verify before sprint planning)"
### Verdict: [APPROVED / NEEDS REVISION / MAJOR REVISION NEEDED]
This skill is read-only — no files are written during Phase 4.
Phase 5: Next Steps
Use AskUserQuestion for ALL closing interactions. Never plain text.
First widget — what to do next:
If APPROVED (first-pass, no revision needed), proceed directly to the systems-index widget, review-log widget, then the final closing widget. Do not show a separate "what to do" widget — the final closing widget covers next steps.
If NEEDS REVISION or MAJOR REVISION NEEDED, options:
[A] Revise the GDD now — address blocking items together[B] Stop here — revise in a separate session[C] Accept as-is and move on (only if all items are advisory)
If user selects [A] — Revise now:
Work through all blocking items, asking for design decisions only where you cannot resolve the issue from the GDD and existing docs alone. Group all design-decision questions into a single multi-tab AskUserQuestion before making any edits — do not interrupt mid-revision for each blocker individually.
After all revisions are complete, show a summary table (blocker → fix applied) and use AskUserQuestion for a post-revision closing widget:
- Prompt: "Revisions complete — [N] blockers resolved. What next?"
- Note current context usage: if context is above ~50%, add: "(Recommended: /clear before re-review — this session has used X% context. A full re-review runs 5 agents and needs clean context.)"
- Options:
[A] Re-review in a new session — run /design-review [doc-path] after /clear[B] Accept revisions and mark Approved — update systems index, skip re-review[C] Move to next system — /design-system [next-system] (#N in design order)[D] Stop here
Never end the revision flow with plain text. Always close with this widget.
Second widget — systems index update (always show this separately):
Use a second AskUserQuestion:
- Prompt: "May I update
design/gdd/systems-index.mdto mark [system] as [In Review / Approved]?" - Options:
[A] Yes — update it/[B] No — leave it as-is
Third widget — review log (always offer):
Use a third AskUserQuestion:
- Prompt: "May I append this review summary to
design/gdd/reviews/[doc-name]-review-log.md? This creates a revision history so future re-reviews can track what changed." - Options:
[A] Yes — append to review log/[B] No — skip
If yes, append an entry in this format:
## Review — [YYYY-MM-DD] — Verdict: [APPROVED / NEEDS REVISION / MAJOR REVISION NEEDED]
Scope signal: [S/M/L/XL]
Specialists: [list]
Blocking items: [count] | Recommended: [count]
Summary: [2-3 sentence summary of key findings from creative-director verdict]
Prior verdict resolved: [Yes / No / First review]
Final closing widget — always show after all file writes complete:
Once the systems-index and review-log widgets are answered, check project state and show one final AskUserQuestion:
Before building options, read:
design/gdd/systems-index.md— find any system with Status: In Review or NEEDS REVISION (other than the one just reviewed)- Count
.mdfiles indesign/gdd/(excluding game-concept.md, systems-index.md) to determine if/review-all-gddsis worth offering (≥2 GDDs) - Find the next system with Status: Not Started in design order
Build the option list dynamically — only include options that are genuinely next:
[_] Run /design-review [other-gdd-path] — [system name] is still [In Review / NEEDS REVISION](include if another GDD needs review)[_] Run /consistency-check — verify this GDD's values don't conflict with existing GDDs(always include if ≥1 other GDD exists)[_] Run /review-all-gdds — holistic design-theory review across all designed systems(include if ≥2 GDDs exist)[_] Run /design-system [next-system] — next in design order(always include, name the actual system)[_] Stop here
Assign letters A, B, C… only to included options. Mark the most pipeline-advancing option as (recommended).
Never end the skill with plain text after file writes. Always close with this widget.
How to use design-review on Cursor
AI-first code editor with Composer
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 design-review
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches design-review from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate design-review. Access the skill through slash commands (e.g., /design-review) 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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★30 reviews- ★★★★★Chinedu Kapoor· Dec 8, 2024
design-review is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Ren Wang· Dec 4, 2024
Useful defaults in design-review — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Yusuf Mehta· Nov 27, 2024
design-review reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ren Jackson· Nov 23, 2024
design-review has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Chinedu Bansal· Nov 19, 2024
design-review fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yash Thakker· Nov 7, 2024
We added design-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Dhruvi Jain· Oct 26, 2024
design-review fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Zara Chawla· Oct 18, 2024
Registry listing for design-review matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ishan Dixit· Oct 14, 2024
Solid pick for teams standardizing on skills: design-review is focused, and the summary matches what you get after install.
- ★★★★★Chinedu Thomas· Oct 10, 2024
We added design-review from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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