Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: event-forecasting

Direktori bahasa Inggris

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

30K
Stars
88/100
Kepercayaan
Kategori: coding-agentsAudit

Conductor is an event driven agentic workflow engine providing durable and highly resilient execution engine for applications and AI Agents

32K
Stars
87/100
Kepercayaan
Kategori: automationAudit

Multilingual speech understanding: ASR + emotion recognition + audio event detection. 50+ languages, 15x faster than Whisper, non-autoregressive.

8.6K
Stars
77/100
Kepercayaan
Kategori: media-automationAudit

Event Driven Orchestration & Scheduling Platform for Mission Critical Applications

27K
Stars
87/100
Kepercayaan
Kategori: agent-frameworksAudit

Dapr is a portable runtime for building distributed applications across cloud and edge, combining event-driven architecture with workflow orchestration.

26K
Stars
87/100
Kepercayaan
Kategori: devopsAudit

Production-grade Rust-native trading engine with deterministic event-driven architecture

23K
Stars
82/100
Kepercayaan
Kategori: sports-analyticsAudit

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

6.3K
Stars
83/100
Kepercayaan
Kategori: design-creativeAudit

KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

10K
Stars
86/100
Kepercayaan
Kategori: devopsAudit

A python library for user-friendly forecasting and anomaly detection on time series.

9.4K
Stars
86/100
Kepercayaan
Kategori: ml-automationAudit

High-Performance Serverless event and data processing platform

5.7K
Stars
80/100
Kepercayaan
Kategori: devopsAudit

Chronos: Pretrained Models for Time Series Forecasting

5.5K
Stars
81/100
Kepercayaan
Kategori: ml-automationAudit

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

2.0K
Stars
83/100
Kepercayaan
Kategori: data-analysisAudit