Skill 디렉토리

AI Agent를 위한 재사용 가능한 Skill을 찾으세요.

작업으로 실제 GitHub Skill을 검색하고 사용 전에 Stars, 신뢰, 감사, 카테고리, 설치 경로를 확인하세요.

모든 추천은 리포지토리, 감사, 설치 경로와 명확하게 연결됩니다.

검색 결과: tensorflow-examples

영문 디렉토리

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
신뢰
카테고리: design-creative감사

An Open Source Machine Learning Framework for Everyone

196K
Stars
81/100
신뢰
카테고리: ml-automation감사

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

30K
Stars
88/100
신뢰
카테고리: coding-agents감사

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

37K
Stars
78/100
신뢰
카테고리: development감사

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

31K
Stars
78/100
신뢰
카테고리: utility감사

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

6.3K
Stars
83/100
신뢰
카테고리: design-creative감사

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

19K
Stars
81/100
신뢰
카테고리: ml-automation감사

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

6.4K
Stars
80/100
신뢰
카테고리: ml-automation감사

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
신뢰
카테고리: agent-skills감사

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

4.6K
Stars
80/100
신뢰
카테고리: ml-automation감사

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
신뢰
카테고리: robotics-iot감사