Agent skill · Code Review & Quality

transformers-js

Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and...

Nick44,086★ · +407/wk · 1 repos on radarProfile →
claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill transformers-js --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 8
SKILL.md size: 24 KB
Bundled scripts: none
Path: skills/transformers-js/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Transformers.js - Machine Learning for JavaScript Transformers.js enables running state-of-the-art machine learning models directly in JavaScript across browsers and server-side runtimes (Node.js, Bun, Deno), with no Python server required. ## When to Use This Skill Use this skill when you need to: - Run ML models for text analysis, generation, or translation in JavaScript - Perform image classification, object detection, or segmentation - Implement speech recognition or audio processing - Build multimodal AI applications (text-to-image, image-to-text, etc.) - Run models client-side in the browser without a backend ## Installation ### NPM Installation ```bash npm install @huggingface/transformers ``` ### Browser Usage (CDN) ```javascript <script type="module"> import { pipeline } from 'https://cdn.jsdelivr.net/npm/@huggingface/transformers'; </script> ``` ## Core Concepts ### 1. Pipeline API The pipeline API is the easiest way to use models. It groups together preprocessing, model inference, and postprocessing: ```javascript import { pipeline } from '@huggingface/transformers'; // Create a pipeline for a specific task const pipe = await pipeline('sentiment-analysis'); // Use the

What's inside
Steps it walks through
  1. When to Use This Skill
  2. Installation
  3. NPM Installation
  4. Browser Usage (CDN)
  5. Core Concepts
  6. 1. Pipeline API
  7. 2. Model Selection
  8. 3. Device Selection
  9. 4. Quantization Options
  10. Supported Tasks
  11. Natural Language Processing
  12. Computer Vision
  13. Audio Processing
  14. Multimodal
Ships with 7 files
  • references/CACHE.md
  • references/CONFIGURATION.md
  • references/EXAMPLES.md
  • references/MODEL_ARCHITECTURES.md
  • references/MODEL_REGISTRY.md
  • references/PIPELINE_OPTIONS.md
  • references/TEXT_GENERATION.md
Commands it runs
npm install @huggingface/transformers
npm install @huggingface/tokenizers
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About this skill
What does the transformers-js skill do?

Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, translation, summarization), computer vision (image classification, object detection), audio (speech recognition, audio classification), and...

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill transformers-js --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going