ml-cv-specialist
byalirezarezvani· 114 skills
Deep expertise in ML/CV model selection, training pipelines, and inference architecture. Use when designing machine learning systems, computer vision pipelines, or AI-powered features.
How to install ml-cv-specialist?
alirezarezvani/claude-cto-team/ml-cv-specialist
$npx -y skills add alirezarezvani/claude-cto-team --skill ml-cv-specialistInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/alirezarezvani/claude-cto-team" --skill "alirezarezvani/claude-cto-team/ml-cv-specialist"` 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/alirezarezvani/claude-cto-team" that are relevant to the current task. Run `npx skills add "https://github.com/alirezarezvani/claude-cto-team"` 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
