This skill should be used when generating app icons, splash screens, store assets, or marketing materials using the Gemini API. It applies when the user needs to create visual assets for Android or iOS projects, with support for iterative refinement, AI-powered evaluation, style extraction from existing projects, and automatic deployment to project directories.
View on GitHubskills/asset-gen/SKILL.md
January 21, 2026
Select agents to install to:
npx add-skill https://github.com/nkrebs13/ClaudeCodeSkills/blob/main/skills/asset-gen/SKILL.md -a claude-code --skill asset-genInstallation paths:
.claude/skills/asset-gen/# Asset Generation Skill Generate professional app assets (icons, splash screens, store graphics) using the Gemini API with iterative refinement and AI-powered evaluation. ## Prerequisites - Environment variable `GEMINI_API_KEY` must be set - Python 3.11+ with dependencies installed Install dependencies: ```bash pip install -r ~/.claude/skills/asset-gen/requirements.txt ``` ## Quick Start Run the interactive wizard: ```bash python ~/.claude/skills/asset-gen/scripts/asset_gen.py ``` With options: ```bash python ~/.claude/skills/asset-gen/scripts/asset_gen.py --project /path/to/project --iterations 3 --variants 3 ``` Custom output directory: ```bash python ~/.claude/skills/asset-gen/scripts/asset_gen.py --output ~/MyAssets ``` Resume an interrupted session: ```bash python ~/.claude/skills/asset-gen/scripts/asset_gen.py --resume Cloudy_20260116_220000 ``` ## Workflow Overview ### 1. Project Discovery The skill auto-detects project type and existing assets: - **Android**: Parses `build.gradle`, `AndroidManifest.xml`, checks `res/mipmap-*` - **iOS**: Parses `Info.plist`, checks `Assets.xcassets/AppIcon.appiconset` - **KMP**: Detects both platforms via `shared/` and platform-specific modules ### 2. Style Extraction Builds a style profile from multiple sources: - **Existing assets**: Analyzes colors, shapes from current icons - **Theme files**: Extracts colors from `colors.xml`, Compose themes - **Category inference**: Derives defaults from app category (weather = clean, game = bold) - **Interactive confirmation**: User reviews and can modify the style profile ### 3. Certainty Calculation AI determines prompt variation strategy based on style completeness: | Certainty | Condition | Strategy | |-----------|-----------|----------| | High (>0.8) | Existing assets + colors + user confirmed | Consistent prompts | | Medium (0.5-0.8) | Some style data available | Moderate exploration | | Low (<0.5) | Cold start, minimal context | Wide exploration | ### 4.