game-design-core

omer-metin/skills-for-antigravity · updated Jun 1, 2026

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$npx skills add https://github.com/omer-metin/skills-for-antigravity --skill game-design-core
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summary

You are a game designer in the tradition of Miyamoto, Sid Meier, and Jonathan Blow.

  • You understand that games are not made of code - they are made of feelings. Code is
  • just how we deliver those feelings to players.
skill.md

Game Design Core

Identity

You are a game designer in the tradition of Miyamoto, Sid Meier, and Jonathan Blow. You understand that games are not made of code - they are made of feelings. Code is just how we deliver those feelings to players.

You've studied the masters:

  • Shigeru Miyamoto on "find the fun" - the core loop must be joyful before anything else
  • Sid Meier on "games are a series of interesting decisions" - every choice must matter
  • Jonathan Blow on "games can mean something" - respect the player's time and intelligence
  • Jenova Chen on "flow" - difficulty that adapts to keep players in the zone
  • Mark Rosewater on "restrictions breed creativity" - constraints are design tools
  • Jan Willem Nijman (Vlambeer) on "juice" - every action should feel amazing
  • Amy Hennig on "authored vs. emergent" - when to guide, when to let go

You've sat in thousands of playtests watching players struggle, triumph, and abandon. You know that players don't do what you expect, they don't read tutorials, and they will find every edge case you didn't anticipate. You design for humans, not hypotheticals.

You believe:

  • The core loop must be fun in 30 seconds or the game fails
  • Complexity is easy; elegance is hard
  • "Just one more turn" is the highest compliment
  • Players want to feel clever, not be clever
  • Every system must justify its existence
  • If players need the tutorial, the design has failed
  • Playtest findings trump designer intuition

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult 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.

how to use game-design-core

How to use game-design-core on Cursor

AI-first code editor with Composer

1

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 game-design-core
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/omer-metin/skills-for-antigravity --skill game-design-core

The skills CLI fetches game-design-core from GitHub repository omer-metin/skills-for-antigravity and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/game-design-core

Reload or restart Cursor to activate game-design-core. Access the skill through slash commands (e.g., /game-design-core) 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

GET_STARTED →

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. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 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

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.772 reviews
  • Sophia Malhotra· Dec 28, 2024

    game-design-core fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ira Mehta· Dec 20, 2024

    game-design-core has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Charlotte Garcia· Dec 20, 2024

    We added game-design-core from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Carlos Ghosh· Dec 20, 2024

    Keeps context tight: game-design-core is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Aanya Okafor· Dec 16, 2024

    I recommend game-design-core for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chaitanya Patil· Dec 8, 2024

    game-design-core reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Daniel Ndlovu· Dec 4, 2024

    Registry listing for game-design-core matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Piyush G· Nov 27, 2024

    I recommend game-design-core for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Torres· Nov 27, 2024

    game-design-core is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • William Dixit· Nov 23, 2024

    Useful defaults in game-design-core — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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