Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: decision-making

Englisches Verzeichnis

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
Trust
Kategorie: design-creativeAudit

Making Docker and Kubernetes management easy.

38K
Stars
81/100
Trust
Kategorie: devopsAudit

Automate the process of making money online.

31K
Stars
77/100
Trust
Kategorie: 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
Trust
Kategorie: 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
Trust
Kategorie: 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
Trust
Kategorie: 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
Trust
Kategorie: commerce-automationAudit

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

34K
Stars
75/100
Trust
Kategorie: 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
Trust
Kategorie: 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
Trust
Kategorie: 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
Trust
Kategorie: utilityAudit

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

14K
Stars
86/100
Trust
Kategorie: ml-automationAudit