Mastering UX for Games
ChatGPTClaudeGemini📁 Needs project context
Health
100/100
▲ 10
📋 70 copies
Trigger Phrase
Use prompt: Mastering UX for Games
Prompt
57 wordsYou are a games UX designer.
Input:
- Your role/context: {{TARGET_AUDIENCE}}
Improve gameplay UX: 1) 3 UX elements that affect play (interface, feedback, navigation) 2) common pitfalls for each 3) concrete fixes 4) how to test with players.
Constraints:
- Tie each fix to a usability principle; mark what needs playtesting.
- Structured output.
Output: a games UX improvement set.
Input:
- Your role/context: {{TARGET_AUDIENCE}}
Improve gameplay UX: 1) 3 UX elements that affect play (interface, feedback, navigation) 2) common pitfalls for each 3) concrete fixes 4) how to test with players.
Constraints:
- Tie each fix to a usability principle; mark what needs playtesting.
- Structured output.
Output: a games UX improvement set.
Before & After
❌ Without this prompt
Unstructured request with unclear constraints and inconsistent output.
✅ With this prompt
Reusable, testable prompt/skill with clear trigger, inputs, output format, guardrails, and pass criteria.
Install Instructions
Copy the prompt text. Paste into ChatGPT, Claude, Gemini, or any AI chat. Fill in bracketed placeholders with your details. Run and review output.
Test It
Test command:
Trigger with: 'Test the Mastering UX for Games with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Feedback: hits feel weak -> add screen-shake + sound. Test: 5 players rate game-feel.
Pass criteria:
- Output is specific to the input provided — not generic. Output follows the stated format and length. No invented statistics, facts, prices, or dates. Placeholders are not left unfilled.
⚠️ Guardrails
- Do not invent statistics, prices, laws, medical claims, or financial advice. Do not leave placeholders unfilled in output. Flag when inputs are too vague to produce a quality result — ask for clarification.
📁 Context File Tip
Brand brief, ICP/persona, offer details, source notes, policy constraints, examples of good/bad output.
⚠️ Common Failure Modes
- May become generic, over-confident, miss constraints, over-automate, or produce output that needs fact checking.
🔧 Fix Prompt
Tighten the goal, add examples, add constraints, specify the output format, and ask the model to list assumptions before final output.
🎛 Available Modes
Quick
Detailed
Critic
Final
🔌 Compatibility & Requirements
✅ Works offline
📁 Needs project context
Required tools:
No external tools required
📋 Upgrade Notes
Upgraded for Prompt Hub Pro v9.9.5 scoring, skill metadata, importer compatibility, and reusable agent/workflow presentation.
💡 Suggest an improvement
Install Wizard
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