
from opencode-skills-collection31
Run state-of-the-art ML models for text, image, and audio directly in JavaScript/Node.js without a separate Python backend.
This skill enables the agent to implement machine learning capabilities directly within JavaScript or TypeScript environments. It leverages Transformers.js to perform a wide array of AI tasks—including sentiment analysis, translation, image classification, and speech-to-text—without requiring a dedicated ML server or Python environment.
Use this skill when building AI-powered web applications, Node.js tools, or any project where low-latency, client-side ML inference is required. It is ideal for processing text, analyzing images, or handling audio files locally in the browser or on a server.
.dispose(), selecting quantized models for performance, and utilizing WebGPU for acceleration.Any agent capable of writing and executing JavaScript/TypeScript code in Node.js or browser environments, such as Claude Code, Cursor, or specialized JS-focused ACP harnesses.
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