Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

検索結果: lazy-loading

英語版ディレクトリ

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

30K
Stars
88/100
信頼
カテゴリ: coding-agents監査

AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.

1.8K
Stars
77/100
信頼
カテゴリ: development監査

Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

577
Stars
84/100
信頼
カテゴリ: utility監査

Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.

4.9K
Stars
80/100
信頼
カテゴリ: data-analysis監査

A curated set of agent skills for Qdrant vector search, providing structured knowledge on scaling, optimization, monitoring, deployment, and SDK usage.

221
Stars
76/100
信頼
カテゴリ: data監査

A plugin for OpenCode that provides dynamic skill loading, context injection, and other tools for using reusable AI agent skills.

262
Stars
77/100
信頼
カテゴリ: coding-agents監査

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

3.3K
Stars
83/100
信頼
カテゴリ: ml-automation監査

Curated collection of 14 domain-specific agent skills covering the CesiumJS API, installable as a Claude Code plugin or via the Agent Skills standard.

112
Stars
76/100
信頼
カテゴリ: coding-agents監査

Blazing-fast terminal UI for managing AI agent skills.

236
Stars
70/100
信頼
カテゴリ: development監査

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

51K
Stars
68/100
信頼
カテゴリ: design-creative監査

Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.

34K
Stars
77/100
信頼
カテゴリ: data-analysis監査