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: tensorflow-examples

英語版ディレクトリ

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

17K
Stars
87/100
信頼
カテゴリ: design-creative監査

An Open Source Machine Learning Framework for Everyone

196K
Stars
81/100
信頼
カテゴリ: ml-automation監査

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

A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.

37K
Stars
78/100
信頼
カテゴリ: development監査

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

31K
Stars
78/100
信頼
カテゴリ: utility監査

A Codex skill for generating minimal zine-style editorial poster prompts and images.

6.3K
Stars
83/100
信頼
カテゴリ: design-creative監査

A WebGL accelerated JavaScript library for training and deploying ML models.

19K
Stars
81/100
信頼
カテゴリ: ml-automation監査

A flexible, high-performance serving system for machine learning models

6.4K
Stars
80/100
信頼
カテゴリ: ml-automation監査

Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.

2.2K
Stars
85/100
信頼
カテゴリ: agent-skills監査

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

4.6K
Stars
80/100
信頼
カテゴリ: ml-automation監査

A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

4.4K
Stars
84/100
信頼
カテゴリ: robotics-iot監査