7 boosters for "multimodal" — open source, verified from GitHub, ready to install
Transformers.js enables running state-of-the-art machine learning models directly in JavaScript, both in browsers and Node.js environments, with no server required. Use this skill when you need to: The pipeline API is the easiest way to use models. It groups together preprocessing, model inference,
Human MCP enables Claude coding agents to leverage human-like capabilities including vision, debugging, and multimodal interactions through the Model Context Protocol. Developers building AI coding assistants and agents will benefit from enhanced human-centered debugging and visual analysis features.
VT.ai provides Copilot-specific coding instructions for a multimodal AI chat application, establishing standards for Python development including naming conventions, style guides, and testing practices. Developers building AI-powered features with language models will benefit from these standardized guidelines.
"name": "frontend-dev", "description": "Automatic closed-loop frontend development with visual testing, browser automation, and iterative refinement using multimodal AI", "name": "hemangjoshi37a",
Helps project managers and team leads quickly assess repository health by identifying blockers in issues/PRs, syncing Google Drive documents, and managing team assignments. Useful for teams coordinating structural biology projects with mixed version control and cloud storage workflows.
An expert AI engineer agent that helps developers build production-ready LLM applications, RAG systems, and intelligent agents with deep knowledge of modern AI stacks. Ideal for teams building chatbots, AI-powered features, and enterprise AI integrations.
Heuristic scoring (no AI key configured).
