Transformers.js
huggingface/skills
Runs pre-trained Hugging Face models in JavaScript or TypeScript with Transformers.js, in browsers or Node.js, Bun and Deno, for text, vision, audio and multimodal tasks.
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.
Install Transformers JS
$ npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills transformers-js --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/transformers-js .claude/skills/transformers-js && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "transformers-js" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/transformers-js into .claude/skills/transformers-js/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transformers-js", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/transformers-jsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills transformers-js --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/transformers-js .agents/skills/transformers-js && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "transformers-js" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/transformers-js into .agents/skills/transformers-js/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transformers-js", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills transformers-js --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/transformers-js .cursor/skills/transformers-js && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "transformers-js" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/transformers-js into .cursor/skills/transformers-js/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transformers-js", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/transformers-js--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills transformers-js --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/transformers-js .gemini/skills/transformers-js && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "transformers-js" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/transformers-js into .gemini/skills/transformers-js/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transformers-js", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills transformers-jsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/transformers-js .github/skills/transformers-js && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "transformers-js" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/transformers-js into .github/skills/transformers-js/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transformers-js", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills transformers-js --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/transformers-js .opencode/skills/transformers-js && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "transformers-js" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/transformers-js into .opencode/skills/transformers-js/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "transformers-js", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
transformers-js- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~444 tokens
- SKILL.md length
- 175 words
- Files
- 9 (incl. references)
- Skills in repo
- 1,394
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.
- Tasks that involve Model hubs and datasets
- SKILL.md covers Detailed Guide, When to Use This Skill and Limitations
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Machine learning
What it does
Transformers JS is an agent skill from sickn33/agentic-awesome-skills. Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.
Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/CACHE.md`, `references/CONFIGURATION.md` and `references/EXAMPLES.md`).
It sits in AI & LLM Engineering, covering Model hubs and datasets, Machine learning and Literature review. It works with Transformers, JavaScript and TypeScript. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Model hubs and datasets
- Tasks that involve Machine learning
- Tasks that involve Literature review
Example prompts
- “/transformers-js”
Requirements
- Python 3
- Node.js
What it can do on your machine
Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Transformers JS loads about 444 tokens when it runs, and up to ~24k if it reads all its reference files. Until then it costs about 30 tokens; SKILL.md has 175 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its Apache-2.0 licence (© sickn33). 175 words, ~444 tokens.
Download SKILL.mdSave it as
.claude/skills/transformers-js/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.- name
- transformers-js
- description
- Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.
- risk
- critical
- source
- https://github.com/huggingface/skills/tree/main/skills/transformers-js
- source_repo
- huggingface/skills
- source_type
- official
- date_added
- 2026-07-01
- license
- Apache-2.0
- license_source
- https://github.com/huggingface/skills/blob/main/LICENSE
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.
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
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
Limitations
- Use this skill only when the task clearly matches its upstream product or API scope.
- Verify commands, API behavior, pricing, quotas, credentials, and deployment effects against current official documentation before making changes.
- Do not treat generated examples as a substitute for environment-specific tests, security review, or user approval for destructive or costly actions.
© sickn33, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 8 other files (references) in skills/transformers-js of sickn33/agentic-awesome-skills.
- SKILL.md
- 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
- references/detailed-guide.md
Open the folder on GitHubat commit 1e53ce2
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Transformers JS next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Transformers JS this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~444 | Automated safety check: Pass | Apache-2.0 | |
| Transformers.jshuggingface/skills | 11k | 1 repos | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| Transformers JSwaybarrios/opencode-power-pack | 533 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Transformersynulihao/AgentSkillOS | 617 | — | ~2.9k | Automated safety check: Pass | None | |
| SwanLab Experiment TrackingOrchestra-Research/AI-Research-SKILLs | 13k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Dataset FinderLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.4k | Automated safety check: Pass | Proprietary |
Similar skills
- Official
Transformers JS
waybarrios/opencode-power-pack
Run Hugging Face models in JavaScript or TypeScript with Transformers.js, WebGPU, or WASM across browser, Node.js, Bun, and Deno.
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ynulihao/AgentSkillOS
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers.
SwanLab Experiment Tracking
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Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards.
Dataset Finder
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A skill your agent uses when users need to search for datasets, download data files, or explore data repositories.
- Official
Hugging Face Local Model Evals
huggingface/skills
Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai or lighteval, and helps choose between vLLM, Transformers and accelerate backends.
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Related
Works with
Categories
Questions about Transformers JS
What does Transformers JS do?
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Transformers JS is an agent skill from sickn33/agentic-awesome-skills.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript.
When should I use Transformers JS?
Transformers JS fits situations like: tasks that involve Model hubs and datasets; tasks that involve Machine learning; tasks that involve Literature review.
How do I install Transformers JS in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a claude-code`. Or copy the skill folder (skills/transformers-js in sickn33/agentic-awesome-skills) into .claude/skills/transformers-js in your project. Claude Code loads it when a task matches its description.
How do I install Transformers JS in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a codex`. Or copy the skill folder (skills/transformers-js in sickn33/agentic-awesome-skills) into .agents/skills/transformers-js in your project. Codex loads it when a task matches its description.
Can I use Transformers JS in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill transformers-js -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/transformers-js, .gemini/skills/transformers-js, .github/skills/transformers-js and .opencode/skills/transformers-js in your project.
What does Transformers JS need to run?
SKILL.md names no scripts, command-line tools or credentials: Transformers JS is instructions for the agent only. Our summary lists: Python 3; Node.js.
Does Transformers JS access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Transformers JS safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Transformers JS use?
Transformers JS is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Transformers JS use?
About 444 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 23k tokens, read only when the agent opens those files.
What are the alternatives to Transformers JS?
Skills that share tags, products or a category with Transformers JS: Transformers.js (huggingface/skills, 11k stars), Transformers JS (waybarrios/opencode-power-pack, 533 stars), Transformers (ynulihao/AgentSkillOS, 617 stars) and SwanLab Experiment Tracking (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Transformers JS?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.