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: decision-making

Direktori bahasa Inggris

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
Kepercayaan
Kategori: design-creativeAudit

Making Docker and Kubernetes management easy.

38K
Stars
81/100
Kepercayaan
Kategori: devopsAudit

Automate the process of making money online.

31K
Stars
77/100
Kepercayaan
Kategori: automationAudit

FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.

27K
Stars
75/100
Kepercayaan
Kategori: financeAudit

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

13K
Stars
87/100
Kepercayaan
Kategori: design-creativeAudit

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

18K
Stars
87/100
Kepercayaan
Kategori: ml-automationAudit

Prior to making any Submission(s), you must sign an Adobe Contributor License Agreement, available here at: https://opensource.adobe.com/cla.html. All Submissions you make to Adobe Inc. and its affiliates, assigns and subsidiaries (collectively “Adobe”) are subject to the terms of the Adobe Contributor License Agreement.

12K
Stars
86/100
Kepercayaan
Kategori: commerce-automationAudit

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

34K
Stars
75/100
Kepercayaan
Kategori: FinanceAudit

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

9.0K
Stars
86/100
Kepercayaan
Kategori: ml-automationAudit

Provides a simple way to run Selenium Grid with Chrome, Firefox, and Edge using Container Platform, making it easier to perform browser automation at scale

8.6K
Stars
72/100
Kepercayaan
Kategori: devopsAudit

Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

1.0K
Stars
85/100
Kepercayaan
Kategori: utilityAudit

A toolkit for making real world machine learning and data analysis applications in C++

14K
Stars
86/100
Kepercayaan
Kategori: ml-automationAudit