Use for vision-language and multimodal tasks: image-text retrieval, zero-shot image classification, visual question answering (VQA), image captioning, document or chart understanding, and visual grounding. Picks a contrastive dual-encoder or an instruction-tuned VLM, and uses task-appropriate evaluation. Triggers on 'vision language', 'image and text', 'CLIP', 'VQA', 'visual question answering', 'image captioning', 'multimodal', 'describe an image', 'document understanding', 'zero-shot image'.
How to install domain-multimodal?
mxslr/mlcraft/domain-multimodal
$npx -y skills add mxslr/mlcraft --skill domain-multimodalInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/mxslr/mlcraft" --skill "mxslr/mlcraft/domain-multimodal"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mxslr/mlcraft" that are relevant to the current task. Run `npx skills add "https://github.com/mxslr/mlcraft"` and select the relevant skills, then follow their instructions.
Related
6 picksType
- azure-aiUse for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR.Jul 2026
- ai-research-exploreRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates.Jul 2026
- ai-research-reproductionRigor Reproduce compatible skill slug for README-first deep learning repository reproduction.Jul 2026
- explore-codeRigor Improve implementation leaf skill for auditable candidate implementation in deep learning research repositories.Jul 2026
- run-trainRigor Train skill for deep learning research repositories. Use when a documented or selected training command should be run conservatively for startup…Jul 2026
- explore-runRigor Improve / Rigor Explore run leaf skill for bounded exploratory evidence in deep learning research repositories.Jul 2026
