14 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,
Tiebreakers when the request is ambiguous: "embedding model" / "vector search" / "similarity" → [SentenceTransformer]. "rerank" / "ranker" / "two-stage" → [CrossEncoder]. "SPLADE" / "sparse" / "inverted index" → [SparseEncoder]. If still unclear, ask. Override only if the user specifies otherwise: T
"name": "claude-video-vision", "description": "Give Claude the ability to watch and understand videos — extracts frames and audio for full video perception", "name": "Jordan Vasconcelos",
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.
Heuristic scoring (no AI key configured).
"name": "@stabgan/openrouter-mcp-multimodal", "mcpName": "io.github.stabgan/openrouter-multimodal", "description": "MCP server for OpenRouter with text chat, image analysis + generation, audio analysis + generation, video analysis, and video generation (Veo 3.1 / Sora 2 Pro / Seedance / Wan)",
"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.
"name": "sanzaru-marketplace", "url": "https://github.com/TJC-LP" "source": "./plugin",
"description": "Gemini CLI bridge for multimodal tasks — lets Claude Code delegate vision, summarization, and code analysis to Gemini", "keywords": ["gemini", "multimodal", "vision", "bridge"]
"name": "rag-skills", "description": "Agent skills for RAG (Retrieval Augmented Generation): chunking strategies (sliding window, semantic, hierarchical), retrieval strategies (HyDE, CRAG, Self-RAG, Graph RAG, adaptive, multi-pass), vector database setup (Qdrant), data type handling (code, multimoda
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.
