library/specializations/ux-ui-design/skills/responsive-image/SKILL.md
Generate responsive image sets with srcset, WebP/AVIF conversion, and art direction
npx skillsauth add a5c-ai/babysitter responsive-imageInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Generate responsive image sets for optimal performance across devices, including srcset variants, modern format conversion, and art direction.
{
"type": "object",
"properties": {
"inputPath": {
"type": "string",
"description": "Path to source image"
},
"outputPath": {
"type": "string",
"description": "Output directory"
},
"widths": {
"type": "array",
"items": { "type": "number" },
"default": [320, 640, 960, 1280, 1920]
},
"formats": {
"type": "array",
"items": { "type": "string" },
"default": ["webp", "avif", "jpg"]
},
"quality": {
"type": "number",
"default": 80
},
"artDirection": {
"type": "array",
"items": {
"type": "object",
"properties": {
"breakpoint": { "type": "number" },
"crop": { "type": "object" }
}
}
},
"generateMarkup": {
"type": "boolean",
"default": true
}
},
"required": ["inputPath"]
}
{
"type": "object",
"properties": {
"generatedImages": {
"type": "array",
"description": "List of generated image files"
},
"srcset": {
"type": "string",
"description": "srcset attribute value"
},
"pictureMarkup": {
"type": "string",
"description": "HTML picture element markup"
},
"sizeSavings": {
"type": "object",
"description": "File size comparison"
}
}
}
const result = await skill.execute({
inputPath: './hero-image.jpg',
outputPath: './responsive',
widths: [320, 640, 960, 1280, 1920],
formats: ['webp', 'avif', 'jpg'],
generateMarkup: true
});
development
Model documentation skill for generating model cards following Google's model card framework.
development
MLflow integration skill for experiment tracking, model registry, and artifact management. Enables LLMs to log experiments, compare runs, manage model lifecycle, and retrieve artifacts through the MLflow API.
data-ai
LIME-based local explanation skill for individual predictions across tabular, text, and image data.
devops
Kubeflow Pipelines skill for ML workflow orchestration, component management, and Kubernetes-native ML.