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Discover and install skills to enhance your AI agent's capabilities.

AllSkillsDocsRules
NameContainsAgent success

ab-test-setup

coreyhaines31/marketingskills

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

Skills

88%

react-native-best-practices

callstackincubator/agent-skills

Provides React Native performance optimization guidelines for FPS, TTI, bundle size, memory leaks, re-renders, and animations. Applies to tasks involving Hermes optimization, JS thread blocking, bridge overhead, FlashList, native modules, or debugging jank and frame drops.

Skills

92%

github

callstackincubator/agent-skills

GitHub patterns using gh CLI for pull requests, stacked PRs, code review, branching strategies, and repository automation. Use when working with GitHub PRs, merging strategies, or repository management tasks.

Skills

68%

remotion-best-practices

remotion-dev/skills

Best practices for Remotion - Video creation in React

Skills

59%

hugging-face-trackio

huggingface/skills

Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

Skills

92%

hugging-face-tool-builder

huggingface/skills

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. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

Skills

100%

Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.

Skills

100%

hugging-face-model-trainer

huggingface/skills

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for tasks involving cloud GPU training, GGUF conversion, or when users mention training on Hugging Face Jobs without local GPU setup.

Skills

100%

hugging-face-jobs

huggingface/skills

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure. Covers UV scripts, Docker-based jobs, hardware selection, cost estimation, authentication with tokens, secrets management, timeout configuration, and result persistence. Designed for general-purpose compute workloads including data processing, inference, experiments, batch jobs, and any Python-based tasks. Should be invoked for tasks involving cloud compute, GPU workloads, or when users mention running jobs on Hugging Face infrastructure without local setup.

Skills

81%

hugging-face-evaluation

huggingface/skills

Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.

Skills

100%

hugging-face-datasets

huggingface/skills

Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.

Skills

72%

hugging-face-cli

huggingface/skills

Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.

Skills

93%

upgrading-expo

expo/skills

Guidelines for upgrading Expo SDK versions and fixing dependency issues

Skills

70%

expo-deployment

expo/skills

Deploying Expo apps to iOS App Store, Android Play Store, web hosting, and API routes

Skills

69%

Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation.

Skills

95%

Set up Tailwind CSS v4 in Expo with react-native-css and NativeWind v5 for universal styling

Skills

64%

use-dom

expo/skills

Use Expo DOM components to run web code in a webview on native and as-is on web. Migrate web code to native incrementally.

Skills

66%

expo-api-routes

expo/skills

Guidelines for creating API routes in Expo Router with EAS Hosting

Skills

65%

Complete guide for building beautiful apps with Expo Router. Covers fundamentals, styling, components, navigation, animations, patterns, and native tabs.

Skills

63%

Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.

Skills

58%

Can't find what you're looking for? Evaluate a missing skill, or if you're looking for agent context for an open source dependency, request a tile.