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: course-materials

Englisches Verzeichnis

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.

18K
Stars
87/100
Trust
Kategorie: design-creativeAudit

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

Free MLOps course from DataTalks.Club

15K
Stars
77/100
Trust
Kategorie: ml-automationAudit

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

80K
Stars
84/100
Trust
Kategorie: ml-automationAudit

CLI tool and library for generating a Software Bill of Materials from container images and filesystems

9.1K
Stars
79/100
Trust
Kategorie: developmentAudit

Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

34K
Stars
75/100
Trust
Kategorie: FinanceAudit

FlowGram is an extensible workflow development framework with built-in canvas, form, variable, and materials that helps developers build AI workflow platforms faster and simpler.

8.1K
Stars
86/100
Trust
Kategorie: automationAudit

Open Machine Learning Course

11K
Stars
75/100
Trust
Kategorie: data-analysisAudit

A modular, reusable university course for Rust

3.4K
Stars
77/100
Trust
Kategorie: educationAudit

NMA Computational Neuroscience course

3.1K
Stars
80/100
Trust
Kategorie: ml-automationAudit

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

18K
Stars
77/100
Trust
Kategorie: ml-automationAudit