注目のスキル

huggingface

Hugging Face論文ページスキルは、AI研究論文を検索して読むためのAIエージェントスキルです

huggingface

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.

huggingface

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. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.

huggingface

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.

google-labs-code

プロンプトの強化AIエージェントスキル，Stitchプロンプトを最適化し，生成結果の品質を向上させる。該スキルは，UI/UXキーワード，デザインシステムコンテキスト，および構造化出力を追加して，プロンプトの具体性を強化する

cloudflare

Cloudflare Durable Objects はステートフルなコーディネーションアプリケーションを構築する技術で、RPC メソッド、SQLite ストレージ、WebSockets をサポートします

getsentry

Commit は、Sentry プロジェクトのコミットを作成するためのスキルです

getsentry

Create data-driven presentation slides using React, Vite, and Recharts with Sentry branding. Use when asked to create a presentation, build slides, make a deck, create a data presentation, build a Sentry presentation. Scaffolds a complete slide-based app with charts, animations, and single-file H...

expo

Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (useLoaderData).

affaan-m

チームビルダーエージェントスキルは、AIチームを簡単に構成して管理するためのインタラクティブなツールです

obra

Subagent-driven development automates independent tasks using fresh subagents, ensuring high-quality results and fast iteration for developers. It streamlines AI coding workflows.

obra

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes