Anthropic Agent Skills vs Hugging Face Skills
In short
Anthropic Agent Skills vs Hugging Face Skills: both are coding tools on Scriptiii AI Tools. Anthropic Agent Skills pricing: Free. Free to use. (reported by the maker) Hugging Face Skills pricing: Free. Free to use. (reported by the maker) Both have 0 upvotes.
- Anthropic Agent Skills
- Free. Free to use. (reported by the maker)
- Hugging Face Skills
- Free. Free to use. (reported by the maker)
- Upvotes
- 0 vs 0
| Field | Anthropic Agent Skills | Hugging Face Skills |
|---|---|---|
| Page | Anthropic Agent Skills | Hugging Face Skills |
| Pricing (maker-reported) | Free. Free to use. | Free. Free to use. |
| Upvotes | 0 | 0 |
| Best for | ai-agents, agent-skill, skill-pack | ai-agents, agent-skill, skill-pack |
| Tagline | Anthropic public repository of Agent Skills with example and document-handling skills. | Skills for agents to work with Hugging Face Hub, datasets, model training and evaluation. |
| Website | Visit Anthropic Agent Skills | Visit Hugging Face Skills |
Pricing and pricing details come from the maker's submission. They are not independently verified.
Anthropic Agent Skills
Note: This repository contains Anthropic's implementation of skills for Claude. For information about the Agent Skills standard, see agentskills.io.
Skills
Skills are folders of instructions, scripts, and resources that Claude loads dynamically to improve performance on specialized tasks. Skills teach Claude how to complete specific tasks in a repeatable way, whether that's creating documents with your company's brand guidelines, analyzing data using your organization's specific workflows, or automating personal tasks.
For more information, check out:
- What are skills?
- Using skills in Claude
- How to create custom skills
- Equipping agents for the real world with Agent Skills
About This Repository
This repository contains skills that demonstrate what's possible with Claude's skills system. These skills range from creative applications (art, music, design) to technical tasks (testing web apps, MCP server generation) to enterprise workflows (communications, branding, etc.).
Each skill is self-contained in its own folder with a SKILL.md file containing the instructions and metadata that Claude uses. Browse through these skills to get inspiration for your own skills or to understand different patterns and approaches.
Many skills in this repo are open source (Apache 2.0). We've also included the document creation & editing skills that power Claude's document capabilities under the hood in the skills/docx, skills/pdf, skills/pptx, and skills/xlsx subfolders. These are also open source (Apache 2.0), and we wanted to share them with developers as a reference for more complex skills that are actively used in a production AI application.
Disclaimer
These skills are provided for demonstration and educational purposes only. While some of these capabilities may be available in Claude, the implementations and behaviors you receive from Claude may differ from what is shown in these skills. These skills are meant to illustrate patterns and possibilities. Always test skills thoroughly in your own environment before relying on them for critical tasks.
Skill Sets
- ./skills: Skill examples for Creative & Design, Development & Technical, Enterprise & Communication, and Document Skills
- ./spec: The Agent Skills specification
- ./template: Skill template
Try in Claude Code, Claude.ai, and the API
Claude Code
You can register this repository as a Claude Code Plugin marketplace by running the following command in Claude Code:
/plugin marketplace add anthropics/skills
Then, to install a specific set of skills:
- Select
Browse and install plugins - Select
anthropic-agent-skills - Select
document-skillsorexample-skills - Select
Install now
Alternatively, directly install either Plugin via:
/plugin install document-skills@anthropic-agent-skills
/plugin install example-skills@anthropic-agent-skills
After installing the plugin, you can use the skill by just mentioning it. For instance, if you install the document-skills plugin from the marketplace, you can ask Claude Code to do something like: "Use the PDF skill to extract the form fields from path/to/some-file.pdf"
Claude.ai
These example skills are all already available to paid plans in Claude.ai.
To use any skill from this repository or upload custom skills, follow the instructions in Using skills in Claude.
Claude API
You can use Anthropic's pre-built skills, and upload custom skills, via the Claude API. See the Skills API Quickstart for more.
Creating a Basic Skill
Skills are simple to create - just a folder with a SKILL.md file containing YAML frontmatter and instructions. You can use the template-skill in this repository as a starting point:
---
name: my-skill-name
description: A clear description of what this skill does and when to use it
---
## My Skill Name
[Add your instructions here that Claude will follow when this skill is active]
## Examples
- Example usage 1
- Example usage 2
## Guidelines
- Guideline 1
- Guideline 2
The frontmatter requires only two fields:
name- A unique identifier for your skill (lowercase, hyphens for spaces)description- A complete description of what the skill does and when to use it
The markdown content below contains the instructions, examples, and guidelines that Claude will follow. For more details, see How to create custom skills.
Partner Skills
Skills are a great way to teach Claude how to get better at using specific pieces of software. As we see awesome example skills from partners, we may highlight some of them here:
- Notion - Notion Skills for Claude
Hugging Face Skills
Hugging Face Skills
Hugging Face Skills are definitions for AI/ML tasks like dataset creation, model training, and evaluation. The client plugin marketplaces expose the hf-cli skill as the bootstrap path for core Hub operations; additional workflow skills can be installed on demand with hf skills add <skill-name> or discovered by skill-aware clients over CLI/MCP integrations.
The skills in this repository follow the standardized Agent Skills format.
[!NOTE]
Just want to give your agent access to the Hugging Face Hub? Start withhf-cli. It's the recommended first Skill to install: it teaches your agent everyhfcommand (search models, manage datasets and buckets, launch Spaces, run jobs) and is generated from your locally installed CLI so it stays current.
How do Skills work?
In practice, skills are self-contained folders that package instructions, scripts, and resources together for an AI agent to use on a specific use case. Each folder includes a SKILL.md file with YAML frontmatter (name and description) followed by the guidance your coding agent follows while the skill is active.
[!TIP]
If your agent doesn't support skills, you can useagentsmd/AGENTS.mddirectly as a fallback.
The hf-cli skill in this repository is also available through:
- Cursor Marketplace (https://cursor.com/marketplace/huggingface)
- Codex Plugins Directory (https://developers.openai.com/codex/plugins)
Installation
Hugging Face skills are compatible with Claude Code, Codex, Gemini CLI, and Cursor.
Claude Code
- Register the repository as a plugin marketplace:
/plugin marketplace add huggingface/skills
- Install the CLI skill:
/plugin install hf-cli@huggingface/skills
- To install another Hugging Face skill, use the
hfCLI:
hf skills add <skill-name>
Codex
-
Copy or symlink any skills you want to use from this repository's
skills/directory into one of Codex's standard.agents/skillslocations (for example,$REPO_ROOT/.agents/skillsor$HOME/.agents/skills) as described in the Codex Skills guide. -
Once a skill is available in one of those locations, Codex will discover it using the Agent Skills standard and load the
SKILL.mdinstructions when it decides to use that skill or when you explicitly invoke it. -
If your Codex setup still relies on
AGENTS.md, you can use the generatedagentsmd/AGENTS.mdfile in this repo as a fallback bundle of instructions.
Gemini CLI
-
This repo includes
gemini-extension.jsonto integrate with the Gemini CLI. -
Install locally:
gemini extensions install . --consent
or use the GitHub URL:
gemini extensions install https://github.com/huggingface/skills.git --consent
- See Gemini CLI extensions docs for more help.
Cursor
This repository includes Cursor plugin manifests:
.cursor-plugin/plugin.json.mcp.json(configured with the Hugging Face MCP server URL)
Install from repository URL (or local checkout) via the Cursor plugin flow. The marketplace entry is intentionally limited to hf-cli; use hf skills add <skill-name> to install additional workflow skills.
For contributors, regenerate manifests with:
./scripts/publish.sh
Skills
This repository contains a few skills to get you started. You can also contribute your own skills to the repository.
Available skills
| Name | Description | Documentation |
|---|---|---|
hf-cli | Hugging Face Hub CLI (hf) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. | SKILL.md |
hf-cloud-aws-context-discovery | Discover the user''s local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. | SKILL.md |
hf-cloud-python-env-setup | Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. | SKILL.md |
hf-cloud-sagemaker-deployment-planner | Plan and coordinate the deployment of a model to Amazon SageMaker AI. | SKILL.md |
hf-cloud-sagemaker-iam-preflight | Ensure a usable SageMaker execution role exists before deploying or training. | SKILL.md |
hf-cloud-sagemaker-production-defaults | Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. | SKILL.md |
hf-cloud-serving-image-selection | Pick the right serving container for a SageMaker model deployment and find its current image URI. | SKILL.md |
hf-mem | Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub | SKILL.md |
huggingface-best | Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare models by benchmark scores. | SKILL.md |
huggingface-community-evals | Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. | SKILL.md |
huggingface-datasets | Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics. | SKILL.md |
huggingface-gradio | Build Gradio web UIs and demos in Python. | SKILL.md |
huggingface-llm-trainer | Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. | SKILL.md |
huggingface-local-models | Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. | SKILL.md |
huggingface-lora-space-builder | Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. | SKILL.md |
huggingface-paper-publisher | Publish and manage research papers on Hugging Face Hub. | SKILL.md |
huggingface-papers | Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. | SKILL.md |
huggingface-spaces | Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. | SKILL.md |
huggingface-tool-builder | Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. | SKILL.md |
huggingface-trackio | Track and visualize ML training experiments with Trackio. | SKILL.md |
huggingface-vision-trainer | Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. | SKILL.md |
huggingface-zerogpu | AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. | SKILL.md |
train-sentence-transformers | Train or fine-tune sentence-transformers models across SentenceTransformer (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), CrossEncoder (reranker; pair scoring for two-stage retrieval / pair classification), and SparseEncoder (SPLADE, sparse embedding model; for learned-sparse retrieval). | SKILL.md |
transformers-js | Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. | SKILL.md |
trl-training | Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). | SKILL.md |
Using skills in your coding agent
Once a skill is installed, mention it directly while giving your coding agent instructions:
- "Use the HF LLM trainer skill to estimate the GPU memory needed for a 70B model run."
- "Use the HF model evaluation skill to launch
run_eval_job.pyon the latest checkpoint." - "Use the HF dataset creator skill to draft new few-shot classification templates."
- "Use the HF paper publisher skill to index my arXiv paper and link it to my model."
Your coding agent automatically loads the corresponding SKILL.md instructions and helper scripts while it completes the task.
Contribute or customize a skill
- Copy one of the existing skill folders (for example,
hf-datasets/) and rename it. - Update the new folder's
SKILL.mdfrontmatter:--- name: my-skill-name description: Describe what the skill does and when to use it --- # Skill Title Guidance + examples + guardrails - Add or edit supporting scripts, templates, and documents referenced by your instructions.
- Do not add the skill to
.claude-plugin/marketplace.jsonby default. Client marketplaces are intentionally limited tohf-cli; the full Hub CLI marketplace is generated at.claude-plugin/marketplace-internal.json. - Run:
to regenerate and validate all generated metadata.
./scripts/publish.sh - Reinstall or reload the skill bundle in your coding agent so the updated folder is available.
Marketplace
The .claude-plugin/marketplace.json and .cursor-plugin/marketplace.json files intentionally expose only hf-cli for client marketplace installation. This keeps install-time manifests focused on core Hub operations and points users to hf skills add <skill-name> for the rest of the repository.
The generated .claude-plugin/marketplace-internal.json file contains the full skill list. Publish automation uploads it to the Hub bucket as marketplace.json so hf skills list, hf skills add, and hf skills update continue to see every available skill.
Newer skill-aware integrations can also pull capabilities dynamically. Hugging Face's discovery flow lets clients search skills, MCP servers, and Spaces, while Skills-over-MCP work is standardizing how skills are discovered and consumed through MCP resources.
Additional references
- Browse the latest instructions, scripts, and templates directly at huggingface/skills.
- Review Hugging Face documentation for the specific libraries or workflows you reference inside each skill.
Questions
- Do Anthropic Agent Skills and Hugging Face Skills list the same price?
- Both listings report Free. Free to use. Pricing is reported by the maker and is not independently verified.
- Which has more upvotes, Anthropic Agent Skills or Hugging Face Skills?
- Both have 0 upvotes.
- What does each maker say Anthropic Agent Skills and Hugging Face Skills are for?
- Anthropic Agent Skills: Anthropic public repository of Agent Skills with example and document-handling skills. Hugging Face Skills: Skills for agents to work with Hugging Face Hub, datasets, model training and evaluation.
Anthropic Agent Skills alternatives·Hugging Face Skills alternatives·All coding tools