Library
statsmodels agent skills for Claude Code, Codex and other agents.
- skills
- 29
- Type
- Library
- Website
- statsmodels.org
- Official GitHub
- statsmodels
statsmodels skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. | spacering-net/ | 3.8k | 3 repos | ~5k | Automated safety check: Pass | MIT | today |
| 2 | Statistical models library for Python. An agent skill from zLanqing/codex-claude-academic-skills. | zLanqing/ | 4.6k | 16 repos | ~4.9k | Automated safety check: Pass | BSD-3-Clause | 4 mo ago |
| 3 | Writes statistical analysis code for experimental data, runs it through a four-round review, and reports effect sizes, p-values and confidence intervals. | lingzhi227/ | 383 | — | ~886 | Automated safety check: Pass | No licence | 7 mo ago |
| 4 | Guides your agent through unit-root, cointegration, GARCH, bootstrap and regression-diagnostic tests on financial time series, using a tested helper module. | HKUDS/ | 35k | — | ~4k | Automated safety check: Pass | MIT | yesterday |
| 5 | Panel data analysis with Python using linearmodels and pandas. | meleantonio/ | 642 | 2 repos | ~804 | Automated safety check: Pass | Unknown | 11 days ago |
| 6 | Finds co-moving assets and tests them for cointegration, with workflows for correlation studies, sector clustering, hedge ratios and pair-trading signals. | HKUDS/ | 35k | — | ~10k | Automated safety check: Pass | MIT | yesterday |
| 7 | Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX. | K-Dense-AI/ | 48k | 1 repo | ~3.2k | Automated safety check: Notes | BSD-3-Clause | 2 days ago |
| 8 | Production-ready genomics and epigenomics data processing for BixBench questions. | wu-yc/ | 1.1k | 2 repos | ~14k | Automated safety check: Pass | No licence | 6 mo ago |
| 9 | Controls error rates across thousands of simultaneous tests in genomics discovery using false-discovery-rate methods (Benjamini-Hochberg 1995; Benjamini-Yekutieli 2001 for arbitrary dependence… | GPTomics/ | 1.2k | 1 repo | ~3.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 10 | Compare gene co-expression and regulatory networks between biological conditions to find rewired relationships using DiffCorr, DiffCoEx, DINGO/iDINGO, and CoDiNA. | GPTomics/ | 1.2k | 1 repo | ~3.1k | Automated safety check: Pass | MIT | 1 mo ago |
| 11 | Compare cell-type composition and spatial features across conditions in IMC/MIBI cohorts with the patient as the experimental unit, covering pseudoreplication, per-patient aggregation, mixed models… | GPTomics/ | 1.2k | 1 repo | ~3.5k | Automated safety check: Pass | MIT | 1 mo ago |
| 12 | Infers directed, time-delayed gene regulatory edges from BULK time-series expression using Granger causality (statsmodels VAR F-test), dynGENIE3 (tree ensembles regressing ODE-derived derivatives… | GPTomics/ | 1.2k | 1 repo | ~5k | Automated safety check: Pass | MIT | 1 mo ago |
| 13 | This skill should be used when the user asks to "implement a DiD regression", "write a causal inference pipeline", "set up an event study", "implement instrumental variables", "run a regression… | brycewang-stanford/ | 4.5k | — | ~1.5k | Automated safety check: Pass | Unknown | 2 days ago |
| 14 | 14.Linearmodels Panel data, IV/GMM, system regression. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. | brycewang-stanford/ | 4.5k | — | ~3.2k | Automated safety check: Pass | Unknown | 2 days ago |
| 15 | 15.Pyfixest Fast high-dimensional fixed effects: OLS, Poisson, IV with multi-way FE; DiD (TWFE, did2s, Sun-Abraham); clustered SEs; etable/coefplot/iplot. | brycewang-stanford/ | 4.5k | — | ~3.5k | Automated safety check: Pass | Unknown | 2 days ago |
| 16 | 16.Statsmodels Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics. | brycewang-stanford/ | 4.5k | — | ~3.4k | Automated safety check: Pass | Unknown | 2 days ago |
| 17 | 17.Svy Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration. | brycewang-stanford/ | 4.5k | — | ~3.4k | Automated safety check: Pass | Unknown | 2 days ago |
| 18 | Symbolic math in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, ODEs, code gen (lambdify, C/Fortran). | jaechang-hits/ | 370 | 1 repo | ~3.9k | Automated safety check: Pass | BSD-3-Clause | 8 days ago |
| 19 | Perform statistical tests, hypothesis testing, correlation analysis, and multiple testing corrections using scipy and statsmodels. | majiayu000/ | 666 | 3 repos | ~3.9k | Automated safety check: Pass | MIT | today |
| 20 | End-to-end bulk time-course analysis from an expression matrix to temporal gene modules and per-cluster pathway enrichment. | GPTomics/ | 1.2k | 1 repo | ~6k | Automated safety check: Pass | MIT | 1 mo ago |
| 21 | Run the instrumented specification search in the user's own statistical language — Stata (reghdfe, ivreghdfe, rdrobust, did2s), R (fixest, rdrobust, did2s), Python (statsmodels, linearmodels) or… | brycewang-stanford/ | 4.5k | — | ~2.1k | Automated safety check: Pass | Unknown | 2 days ago |
| 22 | Stata-to-Python translation for data analysis. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. | brycewang-stanford/ | 4.5k | — | ~6.2k | Automated safety check: Pass | Unknown | 2 days ago |
| 23 | Statistical modeling workflow guide for hypothesis tests, effect-size reporting, statsmodels regression, diagnostics, and structured result export. | DrugClaw/ | 125 | — | ~879 | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 24 | Guided statistical analysis: test choice, assumption checks, effect sizes, power, APA reporting. | jaechang-hits/ | 370 | 1 repo | ~4.8k | Automated safety check: Pass | CC-BY-4.0 | 8 days ago |
| 25 | 25.Scikit Learn Machine learning: clustering, PCA/t-SNE/UMAP, classification, prediction regression (Ridge/Lasso/ensemble), cross-validation, Pipelines. | brycewang-stanford/ | 4.5k | — | ~4.6k | Automated safety check: Pass | Unknown | 2 days ago |
| 26 | 26.Automl Skill AutoML 自动化机器学习技能 | Automated Machine Learning Skill. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~3.6k | Automated safety check: Pass | MIT | 2 mo ago |
| 27 | A skill your agent uses when writing Python code for DSGE models, HANK models, numerical economic computation, causal inference, or quantitative economic data analysis | brycewang-stanford/ | 4.5k | — | ~7.9k | Automated safety check: Pass | Unknown | 2 days ago |
| 28 | Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests. | majiayu000/ | 666 | 2 repos | ~4.2k | Automated safety check: Pass | BSD-3-Clause | today |
| 29 | Time-to-event modeling with scikit-survival: Cox PH (elastic net), Random Survival Forests, Boosting, SVMs for censored data. | jaechang-hits/ | 370 | 1 repo | ~6.9k | Automated safety check: Pass | GPL-3.0 | 8 days ago |
Questions, answered from the data.
What is the best statsmodels skill?
Statistical Analysis from spacering-net/codeg ranks first of the 29 statsmodels skills listed here, with the highest score: its repository has 3.8k GitHub stars, 3 other GitHub owners carry a copy, its SKILL.md loads about 5k tokens and it passes the automated safety check with no findings. Next come Statsmodels and Statistical Data Analysis.
Is there an official statsmodels skill?
None yet. All 29 statsmodels skills listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.