Do Expo 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.

What does each maker say Expo Skills and Hugging Face Skills are for?

Expo Skills: Agent skills for building Expo and React Native apps and using Expo Application Services. Hugging Face Skills: Skills for agents to work with Hugging Face Hub, datasets, model training and evaluation.

ScriptiiiAI Tools

Expo Skills vs Hugging Face Skills

In short

Expo Skills vs Hugging Face Skills: both are coding tools on Scriptiii AI Tools. Expo 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.

Expo Skills: Free. Free to use. (reported by the maker)
Hugging Face Skills: Free. Free to use. (reported by the maker)
Upvotes: 0 vs 0

Expo Skills compared with Hugging Face Skills
Field	Expo Skills	Hugging Face Skills
Page	Expo 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	Agent skills for building Expo and React Native apps and using Expo Application Services.	Skills for agents to work with Hugging Face Hub, datasets, model training and evaluation.
Website	Visit Expo Skills	Visit Hugging Face Skills

Pricing and pricing details come from the maker's submission. They are not independently verified.

Expo Skills

Official AI agent skills from the Expo team for building, deploying, upgrading, and debugging Expo apps.

How It Works

Skills give AI agents focused Expo knowledge: when to use Expo APIs, how to structure common workflows, and which Expo, EAS, React Native, iOS, and Android constraints matter. Expo documentation, Expo CLI, and EAS CLI remain the source of truth; these skills help agents apply them correctly.

Installation

For Claude Code or Codex, install the plugin so updates are handled by the official plugin marketplace. For Cursor, OpenCode, and other AI coding agents, use the skills CLI.

Path	Best for
Plugin install	Claude Code or Codex, with updates handled by their official plugin marketplaces.
Skills CLI	Cursor, OpenCode, GitHub Copilot, Windsurf, Gemini, Cline, AMP, Factory Droid, Antigravity, Kiro CLI, and other AI coding agents.

Skills CLI

Install all Expo skills with the skills CLI:

npx skills@latest add expo/skills --skill '*'

This selects every Expo skill without selecting every agent. The CLI will still ask where to install them; to target one agent directly, add --agent <agent>.

For most agents, this is the only install command you need. Run it from the project root, then restart or refresh your agent session so it can discover the installed SKILL.md files.

Claude Code Plugin

Install from the official Claude Code plugin marketplace:

claude plugin install expo@claude-plugins-official

You can also run /plugin install expo@claude-plugins-official inside Claude Code.

Codex Plugin

Install from the OpenAI-curated Codex marketplace:

codex plugin add expo@openai-curated

You can also open /plugins in Codex and install expo from the OpenAI-curated marketplace.

Updating

Claude Code and Codex plugin installs are updated through their official plugin marketplaces.

For skills CLI installs, update installed skills with:

npx skills@latest update

To update a single Expo skill, pass its name:

npx skills@latest update expo-router

Try It

After installing, ask your agent Expo-specific questions like:

"Build a native-feeling Expo Router screen with tabs, modals, and animations."
"Create an EAS workflow that builds previews on pull requests."
"Help me upgrade this app to the latest Expo SDK."
"Check whether this EAS Update rollout is healthy."

Agents choose the right skill from the task context and each skill's description.

Skills Included

Skills come in two groups so the free vs paid boundary is clear. Each skill's description carries the same label, and every services skill opens with a costs/plan-limits note.

Start Here

Load this first for any Expo/EAS task, then route to the specific skill below.

Skill	Use it for
`expo-overview`	Router and shared setup rules; the entry point when a request is vague or the user hasn't named a specific Expo tool.

Framework (open source)

Free, open-source Expo SDK and React Native skills.

Skill	Use it for
`expo-project-structure`	Folder structure for a new Expo app: `src/` layout, routes-only `app/`, screens, server code, platform-specific files.
`expo-router`	Expo Router navigation: file-based routes, links, native stacks, modals, sheets, native tabs, and headers.
`expo-animation`	Polished React Native animations and gestures with Reanimated, Gesture Handler, Expo Router, and expo-haptics.
`expo-native-ui`	Native-feeling screen styling, semantic colors, controls, icons, media, and visual effects.
`expo-design-system`	In-app design systems: a token theme (color, spacing, typography, radius, shadow, motion), reusable component conventions, and design-system drift audits.
`expo-ui`	`@expo/ui` native components: universal cross-platform first, with SwiftUI and Jetpack Compose for platform-specific needs.
`expo-data-fetching`	API calls, React Query, SWR, caching, offline support, and Expo Router data loaders.
`expo-dom`	Expo DOM components for gradually using web code in native apps.
`expo-web-to-native`	Migrating an existing web/React app (Next.js, Vite, CRA) to a native iOS/Android app with Expo.
`expo-module`	Expo native modules and views with Swift, Kotlin, TypeScript, config plugins, and autolinking.
`expo-brownfield`	Adding Expo or React Native to an existing iOS or Android app.
`expo-dev-client`	Development clients (local builds are free; EAS Build/TestFlight is a paid step).
`expo-examples`	The `expo/examples` repo of `with-*` integrations to adapt or scaffold a new project from.
`expo-app-clip`	iOS App Clip targets, AASA files, associated domains, and Smart App Banners.
`expo-upgrade`	Expo SDK upgrades, dependency conflicts, deprecated packages, and cache cleanup.

Services & paid distribution

Skills whose core purpose uses paid Expo Application Services (EAS).

Skill	Use it for
`eas-app-stores`	Build and submit iOS/Android apps: Expo and other React Native projects, plus existing native apps; TestFlight, profiles, versioning, and metadata.
`eas-hosting`	Deploying Expo websites and Expo Router API routes to EAS Hosting: secrets, custom domains, Cloudflare Workers.
`eas-workflows`	EAS Workflow YAML files and CI/CD automation.
`eas-observe`	EAS Observe setup and launch, route, event, and version metrics.
`eas-update`	EAS Update setup, OTA publishing, runtime compatibility, testing, and debugging.
`eas-update-insights`	EAS Update health, crash rates, launch counts, payload size, and rollout gates.
`eas-simulator`	Run and drive your app on a remote iOS simulator or Android emulator on EAS cloud - from the CLI or an agent, with a live browser preview (iOS only).

Experimental

Skills for Expo APIs that are not finalized. Content may change or be retired; skills graduate to the groups above when the underlying API stabilizes. These ship in the separate expo-experiments plugin (install it alongside expo), or individually via the skills CLI.

Skill	Use it for
`expo-migrate-module`	Migrating a Swift Expo module from the Modules API 1.0 definition DSL to the 2.0 macro API.

Expo MCP Server

Skills teach an agent how Expo work gets done. The Expo MCP server gives it live access to actually do that work: read the latest Expo docs on demand, install compatible dependencies with npx expo install, trigger and monitor EAS builds and workflows, pull crash data from TestFlight, and screenshot a running app in the simulator.

The expo plugin bundles this MCP configuration, so Claude Code and Codex plugin installs wire it up automatically. For other agents, or to add it on its own, follow the Expo MCP setup guide.

FAQ

Which AI coding agents are supported?

Use npx skills@latest add expo/skills --skill '*' for Cursor, OpenCode, GitHub Copilot, Windsurf, Gemini, Cline, AMP, Factory Droid, Antigravity, Kiro CLI, and similar AI coding tools.

Should I install the skills or the plugin?

Use the plugin for Claude Code or Codex; it stays updated through the plugin marketplace. Use npx skills@latest add expo/skills --skill '*' for Cursor, OpenCode, and other AI coding agents.

What is the source of truth?

Expo documentation, Expo CLI, and EAS CLI are the source of truth. These skills teach agents how to apply Expo guidance in real projects.

Feedback

Every skill includes instructions to submit specific, actionable feedback with npx --yes @expo/agent-cli@latest feedback.

License

MIT

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 with hf-cli. It's the recommended first Skill to install: it teaches your agent every hf command (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 use agentsmd/AGENTS.md directly 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

/plugin marketplace add huggingface/skills

Install the CLI skill:

/plugin install hf-cli@huggingface/skills

To install another Hugging Face skill, use the hf CLI:

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/skills locations (for example, $REPO_ROOT/.agents/skills or $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.md instructions 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 generated agentsmd/AGENTS.md file in this repo as a fallback bundle of instructions.

Gemini CLI

This repo includes gemini-extension.json to 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.py on 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.md frontmatter:

---
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.json by default. Client marketplaces are intentionally limited to hf-cli; the full Hub CLI marketplace is generated at .claude-plugin/marketplace-internal.json.
Run:
```
./scripts/publish.sh
```
to regenerate and validate all generated metadata.
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 Expo 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, Expo Skills or Hugging Face Skills?: Both have 0 upvotes.
What does each maker say Expo Skills and Hugging Face Skills are for?: Expo Skills: Agent skills for building Expo and React Native apps and using Expo Application Services. Hugging Face Skills: Skills for agents to work with Hugging Face Hub, datasets, model training and evaluation.

Expo Skills alternatives·Hugging Face Skills alternatives·All coding tools

Expo Skills vs Hugging Face Skills

In short

Expo Skills: Free. Free to use. (reported by the maker)
Hugging Face Skills: Free. Free to use. (reported by the maker)
Upvotes: 0 vs 0

Expo Skills compared with Hugging Face Skills
Field	Expo Skills	Hugging Face Skills
Page	Expo 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	Agent skills for building Expo and React Native apps and using Expo Application Services.	Skills for agents to work with Hugging Face Hub, datasets, model training and evaluation.
Website	Visit Expo Skills	Visit Hugging Face Skills

Pricing and pricing details come from the maker's submission. They are not independently verified.

Expo Skills

Official AI agent skills from the Expo team for building, deploying, upgrading, and debugging Expo apps.

How It Works

Installation

For Claude Code or Codex, install the plugin so updates are handled by the official plugin marketplace. For Cursor, OpenCode, and other AI coding agents, use the skills CLI.

Path	Best for
Plugin install	Claude Code or Codex, with updates handled by their official plugin marketplaces.
Skills CLI	Cursor, OpenCode, GitHub Copilot, Windsurf, Gemini, Cline, AMP, Factory Droid, Antigravity, Kiro CLI, and other AI coding agents.

Skills CLI

Install all Expo skills with the skills CLI:

npx skills@latest add expo/skills --skill '*'

This selects every Expo skill without selecting every agent. The CLI will still ask where to install them; to target one agent directly, add --agent <agent>.

For most agents, this is the only install command you need. Run it from the project root, then restart or refresh your agent session so it can discover the installed SKILL.md files.

Claude Code Plugin

Install from the official Claude Code plugin marketplace:

claude plugin install expo@claude-plugins-official

You can also run /plugin install expo@claude-plugins-official inside Claude Code.

Codex Plugin

Install from the OpenAI-curated Codex marketplace:

codex plugin add expo@openai-curated

You can also open /plugins in Codex and install expo from the OpenAI-curated marketplace.

Updating

Claude Code and Codex plugin installs are updated through their official plugin marketplaces.

For skills CLI installs, update installed skills with:

npx skills@latest update

To update a single Expo skill, pass its name:

npx skills@latest update expo-router

Try It

After installing, ask your agent Expo-specific questions like:

"Build a native-feeling Expo Router screen with tabs, modals, and animations."
"Create an EAS workflow that builds previews on pull requests."
"Help me upgrade this app to the latest Expo SDK."
"Check whether this EAS Update rollout is healthy."

Agents choose the right skill from the task context and each skill's description.

Skills Included

Skills come in two groups so the free vs paid boundary is clear. Each skill's description carries the same label, and every services skill opens with a costs/plan-limits note.

Start Here

Load this first for any Expo/EAS task, then route to the specific skill below.

Skill	Use it for
`expo-overview`	Router and shared setup rules; the entry point when a request is vague or the user hasn't named a specific Expo tool.

Framework (open source)

Free, open-source Expo SDK and React Native skills.

Skill	Use it for
`expo-project-structure`	Folder structure for a new Expo app: `src/` layout, routes-only `app/`, screens, server code, platform-specific files.
`expo-router`	Expo Router navigation: file-based routes, links, native stacks, modals, sheets, native tabs, and headers.
`expo-animation`	Polished React Native animations and gestures with Reanimated, Gesture Handler, Expo Router, and expo-haptics.
`expo-native-ui`	Native-feeling screen styling, semantic colors, controls, icons, media, and visual effects.
`expo-design-system`	In-app design systems: a token theme (color, spacing, typography, radius, shadow, motion), reusable component conventions, and design-system drift audits.
`expo-ui`	`@expo/ui` native components: universal cross-platform first, with SwiftUI and Jetpack Compose for platform-specific needs.
`expo-data-fetching`	API calls, React Query, SWR, caching, offline support, and Expo Router data loaders.
`expo-dom`	Expo DOM components for gradually using web code in native apps.
`expo-web-to-native`	Migrating an existing web/React app (Next.js, Vite, CRA) to a native iOS/Android app with Expo.
`expo-module`	Expo native modules and views with Swift, Kotlin, TypeScript, config plugins, and autolinking.
`expo-brownfield`	Adding Expo or React Native to an existing iOS or Android app.
`expo-dev-client`	Development clients (local builds are free; EAS Build/TestFlight is a paid step).
`expo-examples`	The `expo/examples` repo of `with-*` integrations to adapt or scaffold a new project from.
`expo-app-clip`	iOS App Clip targets, AASA files, associated domains, and Smart App Banners.
`expo-upgrade`	Expo SDK upgrades, dependency conflicts, deprecated packages, and cache cleanup.

Services & paid distribution

Skills whose core purpose uses paid Expo Application Services (EAS).

Skill	Use it for
`eas-app-stores`	Build and submit iOS/Android apps: Expo and other React Native projects, plus existing native apps; TestFlight, profiles, versioning, and metadata.
`eas-hosting`	Deploying Expo websites and Expo Router API routes to EAS Hosting: secrets, custom domains, Cloudflare Workers.
`eas-workflows`	EAS Workflow YAML files and CI/CD automation.
`eas-observe`	EAS Observe setup and launch, route, event, and version metrics.
`eas-update`	EAS Update setup, OTA publishing, runtime compatibility, testing, and debugging.
`eas-update-insights`	EAS Update health, crash rates, launch counts, payload size, and rollout gates.
`eas-simulator`	Run and drive your app on a remote iOS simulator or Android emulator on EAS cloud - from the CLI or an agent, with a live browser preview (iOS only).

Experimental

Skill	Use it for
`expo-migrate-module`	Migrating a Swift Expo module from the Modules API 1.0 definition DSL to the 2.0 macro API.

Expo MCP Server

The expo plugin bundles this MCP configuration, so Claude Code and Codex plugin installs wire it up automatically. For other agents, or to add it on its own, follow the Expo MCP setup guide.

FAQ

Which AI coding agents are supported?

Use npx skills@latest add expo/skills --skill '*' for Cursor, OpenCode, GitHub Copilot, Windsurf, Gemini, Cline, AMP, Factory Droid, Antigravity, Kiro CLI, and similar AI coding tools.

Should I install the skills or the plugin?

Use the plugin for Claude Code or Codex; it stays updated through the plugin marketplace. Use npx skills@latest add expo/skills --skill '*' for Cursor, OpenCode, and other AI coding agents.

What is the source of truth?

Expo documentation, Expo CLI, and EAS CLI are the source of truth. These skills teach agents how to apply Expo guidance in real projects.

Feedback

Every skill includes instructions to submit specific, actionable feedback with npx --yes @expo/agent-cli@latest feedback.

License

MIT

Hugging Face Skills

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 with hf-cli. It's the recommended first Skill to install: it teaches your agent every hf command (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?

[!TIP]
If your agent doesn't support skills, you can use agentsmd/AGENTS.md directly 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

/plugin marketplace add huggingface/skills

Install the CLI skill:

/plugin install hf-cli@huggingface/skills

To install another Hugging Face skill, use the hf CLI:

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/skills locations (for example, $REPO_ROOT/.agents/skills or $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.md instructions 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 generated agentsmd/AGENTS.md file in this repo as a fallback bundle of instructions.

Gemini CLI

This repo includes gemini-extension.json to 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)

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.py on 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.md frontmatter:

---
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.json by default. Client marketplaces are intentionally limited to hf-cli; the full Hub CLI marketplace is generated at .claude-plugin/marketplace-internal.json.
Run:
```
./scripts/publish.sh
```
to regenerate and validate all generated metadata.
Reinstall or reload the skill bundle in your coding agent so the updated folder is available.

Marketplace

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 Expo 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, Expo Skills or Hugging Face Skills?: Both have 0 upvotes.
What does each maker say Expo Skills and Hugging Face Skills are for?: Expo Skills: Agent skills for building Expo and React Native apps and using Expo Application Services. Hugging Face Skills: Skills for agents to work with Hugging Face Hub, datasets, model training and evaluation.

Expo Skills alternatives·Hugging Face Skills alternatives·All coding tools