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Agent skill

Transformers

by ynulihao in ynulihao/AgentSkillOS

Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers.

No licenceAuto-check passedAI & LLM Engineering

Install Transformers

skills CLI
$ npx skills add ynulihao/AgentSkillOS --skill transformers -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ynulihao/AgentSkillOS transformers --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ynulihao/AgentSkillOS.git skills-src && mkdir -p .claude/skills && cp -r skills-src/data/skill_seeds/transformers .claude/skills/transformers && rm -rf skills-src

Use ~/.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/

Facts

Skill name
transformers
GitHub stars
617
Token cost
~2.9k tokens
SKILL.md length
681 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
None found

At a glance

Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers.

  • Works in 4 steps: Quick Inference with Pipelines → Model Training and Fine-Tuning → Text Generation → …
  • Tasks that involve Natural language processing
  • SKILL.md covers Overview, Core Capabilities, Auto Classes and Model Loading and Optimization, plus 4 more sections
  • Calls python and pip

What it does

Transformers is an agent skill from ynulihao/AgentSkillOS. Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization…

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Natural language processing, Fine-tuning and Computer vision. It works with Transformers. The repository describes itself as: Build your agent from 200,000+ skills via skill RETRIEVAL & ORCHESTRATION.

When your agent uses it

  • Tasks that involve Natural language processing
  • Tasks that involve Fine-tuning
  • Tasks that involve Computer vision

Example prompts

  • “/transformers”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Quick Inference with Pipelines
  2. Model Training and Fine-Tuning
  3. Text Generation
  4. Task-Specific Patterns

What it can do on your machine

Read from SKILL.md and the folder at commit c3cfae1. 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

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • huggingface.co

    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 loads about 2.9k tokens when it runs. Until then it costs about 153 tokens; SKILL.md has 681 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~153
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 681 words (~2,871 tokens).

“The Transformers library provides state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks. Apply this skill for quick inference through pipelines, comprehensive training via the Trainer API, and flexible text generation with various decoding strategies.”

— opening of SKILL.md by ynulihao
name
transformers

Read the full SKILL.md on GitHub

Files

Just SKILL.md in data/skill_seeds/transformers of ynulihao/AgentSkillOS.

Open the folder on GitHubat commit c3cfae1

Compare with similar skills

Transformers 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.

Transformers compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Transformers this skillynulihao/AgentSkillOS617—~2.9kAutomated safety check: PassNone
Hugging Face Transformers Usagedavila7/claude-code-templates32k12 repos~1.2kAutomated safety check: PassMIT
AI ML Skillswentorai/research-plugins2981 repos~993Automated safety check: PassMIT
Text Processorrevfactory/harness-1001.3k—~1.9kAutomated safety check: PassApache-2.0
Transformers.jshuggingface/skills11k1 repos~6.2kAutomated safety check: PassApache-2.0
Hugging Face Vision Trainerhuggingface/skills11k1 repos~7.5kAutomated safety check: PassApache-2.0

Similar skills

  • Hugging Face Transformers Usage

    davila7/claude-code-templates

    Loads pre-trained Hugging Face Transformers models for text, vision and audio tasks, runs inference with pipelines and fine-tunes on custom datasets.

    32k GitHub starsUsed in 12 repos~1.2k tokens
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  • AI ML Skills

    wentorai/research-plugins

    27 ai & machine learning skills. An agent skill from wentorai/research-plugins.

    298 GitHub starsUsed in 1 repo~993 tokens
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  • Text Processor

    revfactory/harness-100

    Text processing pipeline: an agent team collaborates to perform preprocessing, classification, entity/keyword extraction, sentiment analysis, summarization, structured data conversion, and report…

    1.3k GitHub stars~1.9k tokensUpdated 6 mo ago
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  • Transformers.js

    huggingface/skills

    Official

    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.

    11k GitHub starsUsed in 1 repo~6.2k tokens
    AI & LLM EngineeringAuto-check passed

  • Hugging Face Vision Trainer

    huggingface/skills

    Official

    Trains and fine-tunes object detection, image classification and SAM or SAM2 segmentation models on Hugging Face Jobs cloud GPUs and saves the results to the Hub.

    11k GitHub starsUsed in 1 repo~7.5k tokens
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  • Vision Sft

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    40k GitHub stars~2k tokensUpdated 2 days ago
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Works with

Categories

Questions about Transformers

What does Transformers do?

Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. Transformers is an agent skill from ynulihao/AgentSkillOS. Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers.

When should I use Transformers?

Transformers fits situations like: tasks that involve Natural language processing; tasks that involve Fine-tuning; tasks that involve Computer vision.

How do I install Transformers in Claude Code?

Run `npx skills add ynulihao/AgentSkillOS --skill transformers -a claude-code`. Or copy the skill folder (data/skill_seeds/transformers in ynulihao/AgentSkillOS) into .claude/skills/transformers in your project. Claude Code loads it when a task matches its description.

How do I install Transformers in Codex?

Run `npx skills add ynulihao/AgentSkillOS --skill transformers -a codex`. Or copy the skill folder (data/skill_seeds/transformers in ynulihao/AgentSkillOS) into .agents/skills/transformers in your project. Codex loads it when a task matches its description.

Can I use Transformers 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 ynulihao/AgentSkillOS --skill transformers -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, .gemini/skills/transformers, .github/skills/transformers and .opencode/skills/transformers in your project.

What does Transformers need to run?

Going by SKILL.md and its folder, Transformers needs the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Transformers access the network?

SKILL.md names 1 domain. As links in the text: huggingface.co. This is read from the text; nothing was executed.

Is Transformers 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 use?

No licence was found for Transformers or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Transformers use?

About 2.9k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Transformers?

Skills that share tags, products or a category with Transformers: Hugging Face Transformers Usage (davila7/claude-code-templates, 32k stars), AI ML Skills (wentorai/research-plugins, 298 stars), Text Processor (revfactory/harness-100, 1.3k stars) and Transformers.js (huggingface/skills, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Transformers?

ynulihao (a GitHub user) maintains it in ynulihao/AgentSkillOS, which has 617 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on March 7, 2026.

Source: ynulihao/AgentSkillOS on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.