// 10 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests.
| name | econometrics-skills |
| description | 10 econometrics skills. Trigger: causal analysis, regression models, treatment effects, panel data. Design: method-centric guides with R/Python code and diagnostic tests. |
Select the skill matching the user's need, then read its SKILL.md.
| Skill | Description |
|---|---|
| causal-inference-guide | Causal inference methods including DiD, IV, RDD, and synthetic control |
| econml-causal-guide | Apply EconML for causal inference combining machine learning and econometrics |
| iv-regression-guide | Apply instrumental variables, 2SLS, and address endogeneity issues |
| mostly-harmless-guide | Replication code and guide for Mostly Harmless Econometrics methods |
| panel-data-guide | Panel data analysis with fixed and random effects models |
| python-causality-guide | Learn causal inference with Python using the Brave and True handbook |
| robustness-checks | Sequential robustness checks in Stata with confounder blocks |
| stata-analyst-guide | Stata workflows for publication-ready sociology and social science research |
| stata-reference-guide | Comprehensive Stata reference covering syntax, econometrics, and 20+ packages |
| time-series-guide | Apply ARIMA, VAR, cointegration, and time series econometric methods |
Panel data analysis with fixed and random effects models
Curated guide to generative AI covering LLMs and diffusion models
27 ai & machine learning skills. Trigger: ML experiments, model training, deep learning, NLP, computer vision. Design: covers frameworks, benchmarks, paper reproduction, and AI research workflows.
Papers on LLMs for IT operations and AIOps research
10 computer science skills. Trigger: algorithms, systems research, software engineering, security papers. Design: theory, complexity analysis, code-centric research, and security methods.
8 finance skills. Trigger: financial modeling, market data, risk analysis, quantitative finance. Design: data sources, quantitative methods, and regulatory frameworks.