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product-gamification

Design, critique, or implement ethical gamification for non-game products using meaningful progress, goals, feedback, mastery, narrative, rewards, and social…

Skill by NeroWasTrolled

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/nerowastrolled-product-gamification

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Design, critique, or implement ethical gamification for non-game products using meaningful progress, goals, feedback, mastery, narrative, rewards, and social mechanics. Do not use when game mechanics would distract from the user's real job.

Use cases: design

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/product-gamification

What's inside

Skill name
product-gamification
Description
Design, critique, or implement ethical gamification for non-game products using meaningful progress, goals, feedback, mastery, narrative, rewards, and social mechanics. Do not use when game mechanics would distract from the user's real job.
License
MIT
Instructions
50 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Product Gamification

Gamification must improve clarity, motivation, learning, or sustained progress
toward a goal the user already values. If it does not, recommend no gamification.

## Start with behavior

Define:

- the user and valuable real-world outcome;
- the behavior that advances that outcome;
- the present obstacle: unclear progress, weak feedback, low confidence, delayed
  reward, poor onboarding, or lack of meaningful choice;
- the product and user metrics that prove improvement without encouraging abuse.

## Select the lightest fitting mechanic

- Progress visualization for long or multi-stage work.
- Missions or challenges for a clear next action.
- Levels or skill trees for growing capability and choice.
- Achievements for meaningful milestones, not routine clicks.
- Collections for exploration and completion where content has real value.
- Streaks only when daily consistency is healthy and recovery is humane.
- Narrative framing when it improves meaning and comprehension.
- Social mechanics only with privacy, consent, fair comparison, and abuse controls.
- Celebration, motion, and sound proportional to the significance of the event.

Explain the loop as trigger, action, feedback, progress, and return condition.
Specify onboarding, empty, paused, missed, recovered, completed, capped, and
opt-out states. Preserve a conventional path for users who do not want the layer.

## Guardrails

- Never use deceptive urgency, artificial scarcity, coercive loss aversion, or
  variable rewards intended to create compulsive use.
- Do not penalize illness, disability, weekends, timezone differences, or healthy breaks.
- Do not turn private performance into public ranking by default.
- Keep rewards subordinate to intrinsic purpose; avoid teaching users to optimize
  points instead of outcomes.
- Make costs, eligibility, odds, progress, and unlock conditions understandable.
- Keep critical, financial, administrative, and destructive workflows calm and explicit.

## Deliverable

Provide the user problem, proposed mechanic, behavioral rationale, core loop,
screen and state implications, abuse cases, accessibility requirements, metrics,
guardrails, and the smallest experiment that can invalidate the idea. Challenge
mechanics whose maintenance and cognitive cost exceed their likely value.

From NeroWasTrolled/gabriel-ai-devkit, MIT.

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Last commit (this folder)
Sep 3, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

product-gamification skill. Agent Mart. https://agentmart.dev/skills/nerowastrolled-product-gamification (last updated 2026-10-24)