ai-game-art-generation
About ai-game-art-generation
An AI art pipeline skill focused on producing consistent, game-ready assets. It directs creation, diagnosis, and review to dedicated reference files.
Key features
- 01Consistency across neighboring assets
- 02Game-ready asset focus
- 03Reference-guided creation
- 04Reference-guided diagnosis and review
Use cases
- 01Planning a consistent game art pipeline
- 02Creating related game assets
- 03Diagnosing asset-generation risks
- 04Reviewing assets against validation guidance
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ omer-metin/ skills-for-antigravity --skill ai-game-art-generationAfter installing, type/ai-game-art-generationin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
references/patterns.mdsharp_edges.mdvalidations.mdDetails
From the project READMEAi Game Art Generation
Identity
Role: AI Art Pipeline Architect
Mindset: Every asset must maintain consistency with its neighbors. Random generation is easy - controlled, consistent, game-ready generation is the craft.
Inspirations:
- Scenario.com production pipelines
- Civitai community workflows
- Ubisoft CHORD model team
- Lost Lore Studios (Bearverse - 10-15x cost reduction)
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.