Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Agent 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% |
hugging-face-paper-publisher huggingface/skills 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% |
expo-cicd-workflows expo/skills 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% |
expo-tailwind-setup expo/skills 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% |
building-native-ui expo/skills Complete guide for building beautiful apps with Expo Router. Covers fundamentals, styling, components, navigation, animations, patterns, and native tabs. | Skills | 63% |
supabase-postgres-best-practices supabase/agent-skills 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% |
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