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.
27 ai & machine learning skills. An agent skill from wentorai/research-plugins.
Install AI ML Skills
$ npx skills add wentorai/research-plugins --skill ai-ml-skills -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wentorai/research-plugins ai-ml-skills --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/wentorai/research-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/domains/ai-ml .claude/skills/ai-ml-skills && 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 "ai-ml-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml into .claude/skills/ai-ml-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml-skills", 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/wentorai/research-plugins/tree/main/skills/domains/ai-mlType 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 wentorai/research-plugins --skill ai-ml-skills -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wentorai/research-plugins ai-ml-skills --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/domains/ai-ml .agents/skills/ai-ml-skills && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-ml-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml into .agents/skills/ai-ml-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml-skills", 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 wentorai/research-plugins --skill ai-ml-skills -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wentorai/research-plugins ai-ml-skills --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/domains/ai-ml .cursor/skills/ai-ml-skills && 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 "ai-ml-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml into .cursor/skills/ai-ml-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml-skills", 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/wentorai/research-plugins.git --path skills/domains/ai-ml--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 wentorai/research-plugins --skill ai-ml-skills -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wentorai/research-plugins ai-ml-skills --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/domains/ai-ml .gemini/skills/ai-ml-skills && 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 "ai-ml-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml into .gemini/skills/ai-ml-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml-skills", 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 wentorai/research-plugins ai-ml-skillsInstalls 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 wentorai/research-plugins --skill ai-ml-skills -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/domains/ai-ml .github/skills/ai-ml-skills && 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 "ai-ml-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml into .github/skills/ai-ml-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml-skills", 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 wentorai/research-plugins --skill ai-ml-skills -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wentorai/research-plugins ai-ml-skills --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/wentorai/research-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/domains/ai-ml .opencode/skills/ai-ml-skills && 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 "ai-ml-skills" agent skill from https://github.com/wentorai/research-plugins/tree/main/skills/domains/ai-ml into .opencode/skills/ai-ml-skills/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-ml-skills", 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
ai-ml-skills- GitHub stars
- 298
- Used in
- 1 other repo
- Token cost
- ~993 tokens
- SKILL.md length
- 279 words
- Files
- 1
- Skills in repo
- 405
- Repo updated
- First seen
- Licence
- MIT
At a glance
27 ai & machine learning skills. An agent skill from wentorai/research-plugins.
- Tasks that involve Deep learning
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve Fine-tuning
- Tasks that involve Computer vision
What it does
AI ML Skills is an agent skill from wentorai/research-plugins. 27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.
Its SKILL.md is about 990 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 Deep learning, Fine-tuning and Computer vision. It works with Hugging Face. The repository describes itself as: 350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Deep learning
- Tasks that involve Fine-tuning
- Tasks that involve Computer vision
Example prompts
- “/ai-ml-skills”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit bf44b3c. 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
AI ML Skills loads about 993 tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 279 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 wentorai/research-plugins at commit bf44b3c, republished under its MIT licence (© wentorai). 279 words, ~993 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-ml-skills/SKILL.md (or your agent's skills folder).- name
- ai-ml-skills
- description
- 27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.
AI & Machine Learning — 27 Skills
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| ai-agent-papers-guide | Curated 2024-2026 AI agent research papers collection |
| ai-model-benchmarking | Benchmark AI models across 60+ academic evaluation suites and metrics |
| anomaly-detection-papers-guide | Industrial anomaly detection methods and benchmark papers |
| autonomous-agents-papers-guide | Daily-updated collection of autonomous AI agent papers |
| computer-vision-guide | Apply computer vision research methods, models, and evaluation tools |
| deep-learning-papers-guide | Annotated deep learning paper implementations with code walkthroughs |
| dl-transformer-finetune | Build transformer fine-tuning plans for classification and generation |
| domain-adaptation-papers-guide | Comprehensive collection of domain adaptation research papers |
| generative-ai-guide | Curated guide to generative AI covering LLMs and diffusion models |
| graph-learning-papers-guide | Conference papers on graph neural networks and graph learning |
| huggingface-api | Search and discover ML models, datasets, and Spaces on Hugging Face |
| huggingface-inference-guide | Run NLP and CV model inference via Hugging Face free-tier API |
| keras-deep-learning | Build and debug deep learning models with Keras and TensorFlow backend |
| kolmogorov-arnold-networks-guide | Papers and tutorials on KAN learnable activation networks |
| llm-evaluation-guide | Evaluate and benchmark large language models for research applications |
| llm-from-scratch-guide | Build a ChatGPT-like LLM from scratch using PyTorch step by step |
| ml-pipeline-guide | Build and deploy reproducible production ML pipelines for research |
| nlp-toolkit-guide | NLP analysis with perplexity scoring, burstiness, and entropy metrics |
| npcpy-research-guide | All-in-one Python library for NLP, agents, and knowledge graphs |
| prompt-engineering-research | Systematic prompt engineering methods for AI-assisted academic research workf... |
| pytorch-guide | Avoid common PyTorch mistakes and apply robust training patterns |
| pytorch-lightning-guide | PyTorch Lightning framework for scalable model training and research |
| reinforcement-learning-guide | Reinforcement learning fundamentals, algorithms, and research |
| responsible-ai-guide | Resources for trustworthy, fair, and ethical AI research |
| tensorflow-guide | TensorFlow best practices for tf.function, GPU memory, and deployment |
| transformer-architecture-guide | Guide to Transformer architectures for NLP and computer vision |
| vmas-simulator-guide | Vectorized multi-agent reinforcement learning simulator |
© wentorai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/domains/ai-ml of wentorai/research-plugins.
Open the folder on GitHubat commit bf44b3c
Used in 1 other repository
We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in wentorai/research-plugins, which our catalogue first saw on October 7, 2026.
Compare with similar skills
AI ML Skills 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 |
|---|---|---|---|---|---|---|
| AI ML Skills this skillwentorai/research-plugins | 298 | 1 repos | ~993 | Automated safety check: Pass | MIT | |
| Hugging Face Transformers Usagedavila7/claude-code-templates | 33k | 11 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Transformersynulihao/AgentSkillOS | 618 | — | ~2.9k | Automated safety check: Pass | None | |
| RuView Model Trainingruvnet/RuView | 97k | — | ~1.3k | Automated safety check: Notes | MIT | |
| Transformers.jshuggingface/skills | 11k | 1 repos | ~6.2k | Automated safety check: Pass | Apache-2.0 | |
| Discover MLrand/cc-polymath | 181 | — | ~574 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about AI ML Skills
What does AI ML Skills do?
27 ai & machine learning skills. An agent skill from wentorai/research-plugins. AI ML Skills is an agent skill from wentorai/research-plugins. 27 ai & machine learning skills.
When should I use AI ML Skills?
AI ML Skills fits situations like: tasks that involve Deep learning; tasks that involve Fine-tuning; tasks that involve Computer vision.
How do I install AI ML Skills in Claude Code?
Run `npx skills add wentorai/research-plugins --skill ai-ml-skills -a claude-code`. Or copy the skill folder (skills/domains/ai-ml in wentorai/research-plugins) into .claude/skills/ai-ml-skills in your project. Claude Code loads it when a task matches its description.
How do I install AI ML Skills in Codex?
Run `npx skills add wentorai/research-plugins --skill ai-ml-skills -a codex`. Or copy the skill folder (skills/domains/ai-ml in wentorai/research-plugins) into .agents/skills/ai-ml-skills in your project. Codex loads it when a task matches its description.
Can I use AI ML Skills 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 wentorai/research-plugins --skill ai-ml-skills -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-ml-skills, .gemini/skills/ai-ml-skills, .github/skills/ai-ml-skills and .opencode/skills/ai-ml-skills in your project.
What does AI ML Skills need to run?
SKILL.md names no scripts, command-line tools or credentials: AI ML Skills is instructions for the agent only. Our summary lists: Python 3.
Does AI ML Skills 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 AI ML Skills 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 AI ML Skills use?
AI ML Skills is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does AI ML Skills use?
About 993 tokens (SKILL.md is roughly 4k 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 AI ML Skills?
Skills that share tags, products or a category with AI ML Skills: Hugging Face Transformers Usage (davila7/claude-code-templates, 33k stars), Transformers (ynulihao/AgentSkillOS, 618 stars), RuView Model Training (ruvnet/RuView, 97k 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 AI ML Skills?
wentorai (a GitHub user) maintains it in wentorai/research-plugins, which has 298 GitHub stars. The repository holds 405 skills in this directory. The repository was last updated on June 19, 2026.
Source: wentorai/research-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.