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: artificial-evolution

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

Turn one topic into a finished Vox-style paper-collage explainer/ad video — automated end to end on Atlas Cloud + ffmpeg. An agent skill.

1.3K
Stars
86/100
Trust
Kategorie: utilityAudit

WPPConnect is an open source project developed by the JavaScript community with the aim of exporting functions from WhatsApp Web to the node, which can be used to support the creation of any interaction, such as customer service, media sending, intelligence recognition based on phrases artificial and many other things, use your imagination

3.4K
Stars
76/100
Trust
Kategorie: browser-automationAudit

Evolution API is an open-source WhatsApp integration API

8.7K
Stars
74/100
Trust
Kategorie: support-automationAudit

Venom is a high-performance system developed with JavaScript to create a bot for WhatsApp, support for creating any interaction, such as customer service, media sending, sentence recognition based on artificial intelligence and all types of design architecture for WhatsApp.

6.6K
Stars
84/100
Trust
Kategorie: browser-automationAudit

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

4.7K
Stars
76/100
Trust
Kategorie: ml-automationAudit

Roadmap to becoming an Artificial Intelligence Expert in 2022

31K
Stars
76/100
Trust
Kategorie: data-analysisAudit

GeoAI: Artificial Intelligence for Geospatial Data

3.1K
Stars
80/100
Trust
Kategorie: geo-scienceAudit

Become skilled in Artificial Intelligence, Machine Learning, Generative AI, Deep Learning, Data Science, Natural Language Processing, Reinforcement Learning and more with this complete 0 to 100 repository.

4.1K
Stars
80/100
Trust
Kategorie: ml-automationAudit

Artificial Intelligence Infrastructure-as-Code Generator.

3.8K
Stars
76/100
Trust
Kategorie: devopsAudit

Maid is a free and open source application for interfacing with llama.cpp models locally, and with Anthropic, DeepSeek, Ollama, Mistral and OpenAI models remotely.

2.5K
Stars
83/100
Trust
Kategorie: support-automationAudit