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: iot-automotive-tuning

英語版ディレクトリ

WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.

11K
Stars
86/100
信頼
カテゴリ: devops監査

High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios

25K
Stars
81/100
信頼
カテゴリ: data-analysis監査

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

4.2K
Stars
85/100
信頼
カテゴリ: robotics-iot監査

AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.

4.3K
Stars
83/100
信頼
カテゴリ: robotics-iot監査

AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...

3.8K
Stars
86/100
信頼
カテゴリ: robotics-iot監査

The POCO C++ Libraries are powerful cross-platform C++ libraries for building network- and internet-based applications that run on desktop, server, mobile, IoT, and embedded systems.

9.4K
Stars
75/100
信頼
カテゴリ: data-analysis監査

3D Computer Vision Framework

3.5K
Stars
76/100
信頼
カテゴリ: robotics-iot監査

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

18K
Stars
86/100
信頼
カテゴリ: ml-automation監査

RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]

7.8K
Stars
86/100
信頼
カテゴリ: ml-automation監査

MaaNTE. Nevertheless to Everless automatic assistant 异环小助手

2.6K
Stars
81/100
信頼
カテゴリ: robotics-iot監査

A powerful tool for creating datasets for LLM fine-tuning 、RAG and Eval

14K
Stars
75/100
信頼
カテゴリ: data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