prototype▌
Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026
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### Prototype
- ›description: "Rapid prototyping workflow. Skips normal standards to quickly validate a game concept or mechanic. Produces throwaway code and a structured prototype report."
- ›argument-hint: "[concept-description] [--review full|lean|solo]"
- ›allowed-tools: Read, Glob, Grep, Write, Edit, Bash, Task
| name | prototype |
| description | "Rapid prototyping workflow. Skips normal standards to quickly validate a game concept or mechanic. Produces throwaway code and a structured prototype report." |
| argument-hint | "[concept-description] [--review full|lean|solo]" |
| user-invocable | true |
| allowed-tools | Read, Glob, Grep, Write, Edit, Bash, Task |
| agent | prototyper |
| isolation | worktree |
Phase 1: Define the Question
Resolve the review mode (once, store for all gate spawns this run):
- If
--review [full|lean|solo]was passed → use that - Else read
production/review-mode.txt→ use that value - Else → default to
lean
See .claude/docs/director-gates.md for the full check pattern.
Read the concept description from the argument. Identify the core question this prototype must answer. If the concept is vague, state the question explicitly before proceeding — a prototype without a clear question wastes time.
Phase 2: Load Project Context
Read CLAUDE.md for project context and the current tech stack. Understand what engine, language, and frameworks are in use so the prototype is built with compatible tooling.
Phase 3: Plan the Prototype
Define in 3-5 bullet points what the minimum viable prototype looks like:
- What is the core question?
- What is the absolute minimum code needed to answer it?
- What can be skipped (error handling, polish, architecture)?
Present this plan to the user before building. Ask for confirmation if scope seems unclear.
Phase 4: Implement
Ask: "May I create the prototype directory at prototypes/[concept-name]/ and begin implementation?"
If yes, create the directory. Every file must begin with:
// PROTOTYPE - NOT FOR PRODUCTION
// Question: [Core question being tested]
// Date: [Current date]
Standards are intentionally relaxed:
- Hardcode values freely
- Use placeholder assets
- Skip error handling
- Use the simplest approach that works
- Copy code rather than importing from production
Run the prototype. Observe behavior. Collect any measurable data (frame times, interaction counts, feel assessments).
Phase 5: Generate Prototype Report
Draft the report:
## Prototype Report: [Concept Name]
### Hypothesis
[What we expected to be true -- the question we set out to answer]
### Approach
[What we built, how long it took, what shortcuts we took]
### Result
[What actually happened -- specific observations, not opinions]
### Metrics
[Any measurable data collected during testing]
- Frame time: [if relevant]
- Feel assessment: [subjective but specific -- "response felt sluggish at
200ms delay" not "felt bad"]
- Player action counts: [if relevant]
- Iteration count: [how many attempts to get it working]
### Recommendation: [PROCEED / PIVOT / KILL]
[One paragraph explaining the recommendation with evidence]
### If Proceeding
[What needs to change for a production-quality implementation]
- Architecture requirements
- Performance targets
- Scope adjustments from the original design
- Estimated production effort
### If Pivoting
[What alternative direction the results suggest]
### If Killing
[Why this concept does not work and what we should do instead]
### Lessons Learned
[Discoveries that affect other systems or future work]
Ask: "May I write this report to prototypes/[concept-name]/REPORT.md?"
If yes, write the file.
Phase 6: Creative Director Review
Review mode check — apply before spawning CD-PLAYTEST:
solo→ skip. Note: "CD-PLAYTEST skipped — Solo mode." Proceed to Phase 7 summary with the prototyper's recommendation as the final verdict.lean→ skip (not a PHASE-GATE). Note: "CD-PLAYTEST skipped — Lean mode." Proceed to Phase 7 summary with the prototyper's recommendation as the final verdict.full→ spawn as normal.
Spawn creative-director via Task using gate CD-PLAYTEST (.claude/docs/director-gates.md).
Pass: the full REPORT.md content, the original design question, game pillars and core fantasy from design/gdd/game-concept.md (if it exists).
The creative director evaluates the prototype result against the game's creative vision and pillars, then confirms, modifies, or overrides the prototyper's PROCEED / PIVOT / KILL recommendation. Their verdict is final. Update the REPORT.md Recommendation section if the creative director's verdict differs from the prototyper's.
Phase 7: Summary and Next Steps
Output a summary to the user: the core question, the result, the prototyper's initial recommendation, and the creative-director's final decision. Link to the full report at prototypes/[concept-name]/REPORT.md.
If PROCEED: run /design-system to begin the production GDD for this mechanic, or /architecture-decision to record key technical decisions before implementation.
If PIVOT or KILL: no further action needed — the prototype report is the deliverable.
Verdict: COMPLETE — prototype finished. Recommendation is PROCEED, PIVOT, or KILL based on findings above.
Important Constraints
- Prototype code must NEVER import from production source files
- Production code must NEVER import from prototype directories
- If the recommendation is PROCEED, the production implementation must be written from scratch — prototype code is not refactored into production
- Total prototype effort should be timeboxed to 1-3 days equivalent of work
- If the prototype scope starts growing, stop and reassess whether the question can be simplified
Recommended Next Steps
- If PROCEED: Run
/design-system [mechanic]to author the production GDD, or/architecture-decisionto record key technical decisions before implementation - If PIVOT: Run
/prototype [revised-concept]to test the adjusted direction - If KILL: No further action required — the prototype report is the deliverable
- Run
/playtest-reportto formally document any playtest sessions conducted during prototyping
How to use prototype 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 prototype
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches prototype 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 prototype. Access the skill through slash commands (e.g., /prototype) 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
4.6★★★★★60 reviews- ★★★★★Ira Ramirez· Dec 28, 2024
I recommend prototype for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Li Menon· Dec 24, 2024
prototype has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kiara Huang· Dec 20, 2024
Registry listing for prototype matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Chen Yang· Dec 16, 2024
prototype fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Chaitanya Patil· Dec 12, 2024
Useful defaults in prototype — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Michael Gonzalez· Dec 12, 2024
We added prototype from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ishan Bhatia· Dec 4, 2024
prototype reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Rahul Santra· Nov 27, 2024
Registry listing for prototype matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Lucas Lopez· Nov 19, 2024
Solid pick for teams standardizing on skills: prototype is focused, and the summary matches what you get after install.
- ★★★★★Kaira Harris· Nov 15, 2024
Useful defaults in prototype — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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