This repository contains global Agent Skills for analytics, data science, and machine learning workflows.
From agentskills.io:
Why Agent Skills? Agents are increasingly capable, but often don't have the context they need to do real work reliably. Skills solve this by packaging procedural knowledge and company-, team-, and user-specific context into portable, version-controlled folders that agents load on demand. This gives agents:
- Global skills — place skills in
~/.agents/skills/(or symlink this repo there) so agents can load them in any project. - Project-specific skills — place skills in the project root's
.agents/folder when context applies only to that project.
When adding an existing skill from the web, use the skills.sh tool:
npx skills add| Skill | Focus |
|---|---|
| analytics-project-setup | Repo scaffolding, environments, notebooks, pre-commit |
| code-review | AI code review with CodeRabbit |
| data-warehousing | Bronze / silver / gold pipelines, validations-as-code |
| designing-analytics-projects | Analytics Project Brief (scoping before code) |
| find-skills | Discover and install skills from the ecosystem |
| gh-cli | Authenticated GitHub CLI workflows |
| ml-modeling | scikit-learn pipelines, CV, model comparison |
| statistical-modeling | OLS / logistic regression, intervals, stargazer |
| time-series-forecasting | Temporal splits, ARIMA, AutoGluon, backtesting |
| uv | Python environments and dependency management with uv |
Many skills distill patterns from CEU MSBA coursework, open course repositories, and standard references. Each skill's SKILL.md links to the relevant notebooks and files; the table below is the index.
| Skill | Course / source | Instructor / author | Repository |
|---|---|---|---|
| data-warehousing | ECBS5294 — Introduction to Data Science: Working with Data | Eduardo Ariño de la Rubia | earino/ECBS5294 |
| designing-analytics-projects | ECBS5228A — Designing Analytics Projects | Eduardo Arino de la Rubia | earino/designing-analytics-projects |
| ml-modeling | ECBS5233 — Data Science 3: Machine Learning Concepts and Tools | János Divényi | divenyijanos/ceu-ml |
| ml-modeling, statistical-modeling | Data Analysis for Business, Economics, and Policy (case studies, datasets) | Gábor Békés, Gábor Kézdi | gabors-data-analysis/da_case_studies, gabors-data-analysis/da_data_repo |
| ml-modeling | AI Engineering, Modern Data Platforms (light context) | Zoltán C. Tóth | zoltanctoth/ceu-ai-engineering-class, zoltanctoth/ceu-modern-data-platforms |
| statistical-modeling | Coding 2 — MS in Business Analytics (regression intro) | CEU Coding 2 course | (private coursework) |
| time-series-forecasting | Time Series Forecasting (CEU) | Francesca Conselvan | francescaconselvan/time_series_forecasting |
| analytics-project-setup | Industry project structure | — | Cookiecutter Data Science, ageron/handson-ml3 |
When a skill cites a file path (e.g. notebooks/class5_bike_share_demand.ipynb), it refers to that path inside the repository listed above unless another URL is given explicitly.