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: autogen-sample

英語版ディレクトリ

Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

20K
Stars
87/100
信頼
カテゴリ: devops監査

A programming framework for agentic AI

59K
Stars
81/100
信頼
カテゴリ: agent-frameworks監査

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

5.8K
Stars
86/100
信頼
カテゴリ: agent-frameworks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
Yas77

YAS: Yet Another Shop, a sample microservices project in Java

2.0K
Stars
77/100
信頼
カテゴリ: devops監査

A curated library of 68 plug-and-play product management skills for AI agents, covering the complete product lifecycle with templates, workflows, and sample outputs.

509
Stars
84/100
信頼
カテゴリ: productivity監査

Retail banking sample application showcasing Kubernetes and Google Cloud

1.4K
Stars
80/100
信頼
カテゴリ: devops監査

Browse the sample apps demonstrating Aspire integration across C#, JavaScript, TypeScript, Python, Go, containers, databases, cloud, AI, and observability scenarios.

1.2K
Stars
85/100
信頼
カテゴリ: devops監査

This repo contains a sample application based on a Garage Management System for Pitstop - a fictitious garage. The primary goal of this sample is to demonstrate several software-architecture concepts like: Microservices, CQRS, Event Sourcing, Domain Driven Design (DDD), Eventual Consistency.

1.2K
Stars
83/100
信頼
カテゴリ: devops監査

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

1.0K
Stars
73/100
信頼
カテゴリ: media-automation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