Game Mechanics for Your Design
Game Mechanics for Your Design
ChatGPTClaudeGemini⚠ Human review required📁 Needs project context
Health
100/100
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📋 93 copies
Trigger Phrase
Use prompt: Game Mechanics for Your Design
Prompt
62 wordsYou are a game designer.
Input:
- Target audience: {{TARGET_AUDIENCE}}
Outline 5 mechanics that would engage this audience. For each: what the player does, the decision it creates, and why it fits the audience. Then flag the one to prototype first.
Constraints:
- Distinct mechanics; explain audience fit; no invented sales data.
- Structured list + a pick.
Output: 5 mechanics + a prototype recommendation.
Input:
- Target audience: {{TARGET_AUDIENCE}}
Outline 5 mechanics that would engage this audience. For each: what the player does, the decision it creates, and why it fits the audience. Then flag the one to prototype first.
Constraints:
- Distinct mechanics; explain audience fit; no invented sales data.
- Structured list + a pick.
Output: 5 mechanics + a prototype recommendation.
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 Game Mechanics for Your Design with this input: [provide a short real example]'. Confirm output is specific, structured, and useful.
Expected output:
Audience: casual mobile. 1) one-tap combos 2) daily streaks... Prototype first: combos (fast to test).
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.