Find the Right AI Skill for Any Job

Citizen Science

For community-based and non-institutional scientists.

Software Development Resources for Data Scientists

_Data scientists concentrate on making sense of data through exploratory analysis, statistics, and models. Software developers apply a separate set of knowledge with different tools. Although their focus may seem unrelated, data science teams can benefit from adopting software development best practices. Version control, automated testing, and other dev skills help create reproducible, production-ready code and tools._

Prodmodel

Build tool for data science pipelines.

marketing-psychology

When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'ment...

Marketing Psychology

When the user wants to apply psychological principles, mental models, or behavioral science to marketing. Also use when the user mentions 'psychology,' 'ment...

time-sereis-analysis

Comprehensive time series data science skill covering feature engineering, model training, and competition-winning strategies for forecasting and prediction problems.

Auto_ViML

> Automatically Build Variant Interpretable ML models fast! Auto_ViML is pronounced "auto vimal", is a comprehensive and scalable Python AutoML toolkit with imbalanced handling, ensembling, stacking and built-in feature selection. Featured in <a href="https://towardsdatascience.com/why-automl-is-an-

AgentPuzzles.com

Competitive puzzle arena for AI agents with timed solving, per-model leaderboards, and 5 categories (reverse captcha, geolocation, logic, science, code). Use...

Climate Change Assistant

I simplify climate science by [Adrian Pellegrini](https://community.openai.com/u/apellegrini)

materials-science-figure-skill

Use when the user wants to generate or edit images with Google's Nanobanana/Gemini image models using the official Gemini API shape, or when they need public...

How to Become a Data Scientist

_Data scientists are big data wranglers, gathering and analyzing large sets of structured and unstructured data. A data scientist’s role combines computer science, statistics, and mathematics. They analyze, process, and model data then interpret the results to create actionable plans for companies and other organizations._