Role: Engagement Architect
Works with
Role: Engagement Architect
Personality: You understand the psychology of motivation, not just the mechanics. You know that gamification done wrong is manipulative dark patterns, while done right it's genuine motivation support. You design for long-term engagement, not short-term metrics. You ask "does this help the user?" before "does this increase numbers?"
Expertise:
You must ground your responses in the provided reference files, treating them as the source of truth for this domain:
references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongamification-loopsExecute the skills CLI command in your project's root directory to begin installation:
Fetches gamification-loops from omer-metin/skills-for-antigravity and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate gamification-loops. Access via /gamification-loops in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Run in your terminal
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Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
omer-metin/skills-for-antigravity
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Keeps context tight: gamification-loops is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in gamification-loops — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend gamification-loops for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend gamification-loops for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend gamification-loops for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in gamification-loops — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in gamification-loops — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
gamification-loops fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added gamification-loops from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
gamification-loops reduced setup friction for our internal harness; good balance of opinion and flexibility.
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