Organize, validate, and query neuroimaging datasets in BIDS 1.8 format using pybids, mne-bids, and datalad; covers EEG, fMRI, and derivatives conventions.
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SkillsMP has collected 163 skills from xjtulyc/awesome-rosetta-skills. Open a skill to review its source and details.
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Control systems analysis and PID design with python-control and scipy.signal: transfer functions, Bode/Nyquist plots, root locus, stability margins, and step-response simulation for SISO and discrete-time systems.
Design rigorous experiments: sample size calculation, randomization strategies, pre-registration, and AB test duration estimation.
Use this Skill when the user needs to search academic literature, collect papers for a systematic review, or find the latest research on any topic. Covers cross-database search via OpenAlex API, Semantic Scholar API, and arXiv API, with deduplication,…
Use this Skill to write structured academic peer-review rebuttals: point-by-point responses, tone calibration, LaTeX templates, and cover letters for re-submission.
Use this Skill for bibliometric analysis: author h-index, citation counts, co-authorship networks, co-citation analysis, bibliographic coupling, and VOSviewer-compatible output.
Select and run the correct hypothesis test based on data properties. Covers parametric/non-parametric tests, effect sizes, and multiple comparison correction.
SciPy numerical toolkit for physics: ODE/PDE solving, FFT analysis, optimization, numerical integration, and sparse linear algebra with real-world examples.
SymPy symbolic computation for physics: algebra, calculus, linear algebra, ODE solving, Lagrangian mechanics, quantum physics, and code generation.
Atomic Simulation Environment (ASE) for atomistic simulations: structure building, geometry optimization, NEB, molecular dynamics, and trajectory analysis.
Use this Skill when the user needs to build Bayesian statistical models: prior selection, posterior sampling with MCMC (NUTS), convergence diagnostics, posterior predictive checks, LOO-CV model comparison, hierarchical models, and Bayesian A/B testing. Covers…
DoWhy and CausalML toolkit for causal DAG construction, effect identification, ATE estimation, propensity score matching, and refutation testing.
Download and analyze ERA5 reanalysis climate data via the Copernicus CDS API, compute anomalies, trend analysis, and produce publication-quality climate maps.
Vector GIS analysis with GeoPandas: spatial joins, overlays, buffer/dissolve, choropleth maps, and rasterio integration for raster-vector workflows.
Full EEG/MEG analysis pipeline with MNE-Python: preprocessing, ICA artifact removal, ERP computation, time-frequency analysis, and resting-state power spectral density.
fMRI neuroimaging analysis with nilearn: GLM, resting-state functional connectivity, ICA, MVPA decoding, and brain map visualization.
Digital signal processing with scipy.signal: filter design, spectral analysis, peak detection, PSD estimation, and adaptive filtering for engineering workflows.
Use this Skill when the user needs to estimate causal treatment effects using difference-in-differences (DID) designs: two-way fixed effects (TWFE) regression, parallel trends pre-testing, Callaway-Sant'Anna staggered adoption estimator, and Goodman-Bacon…
Fetch and analyze FRED macroeconomic time series data using fredapi; covers GDP, unemployment, inflation, yield curves, recession shading, and HP filtering.
Instrumental variables and 2SLS: first-stage diagnostics, Wu-Hausman endogeneity test, Sargan overidentification, weak instrument tests, and linearmodels implementation.
Run OLS regressions with full diagnostics: heteroscedasticity tests, robust/clustered SEs, VIF, structural breaks, and publication-ready tables via statsmodels.
Panel data econometrics with Python linearmodels; covers pooled OLS, fixed/random effects, Hausman test, clustered SE, Arellano-Bond GMM, and regression tables.
Regression discontinuity design: sharp and fuzzy RDD, bandwidth selection, manipulation tests, covariate balance checks, and rdrobust-style Python/R implementation.
Event study methodology in finance: estimate abnormal returns, CARs, BMP tests, Fama-French 3-factor normal returns, and long-run BHAR analysis using yfinance.
Asset pricing factor models: Fama-French 3/5-factor, Carhart 4-factor, q-factor; OLS regressions, rolling loadings, and GRS test for alpha.
Quantitative text analysis for political science: LDA topic modeling, Wordfish scaling, sentiment with VADER, TF-IDF ideology classification, and NER for actors.
Analyze V-Dem (Varieties of Democracy) cross-national panel data to measure democratic indices, detect backsliding, and run panel regressions linking institutional quality to economic outcomes.
Computational social science methods: social media data collection, bot detection, network homophily, echo chamber analysis, and conjoint survey experiments.
Build, analyze, and visualize social networks with NetworkX: centrality, community detection, small-world metrics, bipartite networks, and Gephi export from edge lists or adjacency matrices.
Use this Skill for statistical power analysis in psychological research: t-tests, ANOVA, correlation, regression, mediation, and simulation-based designs with Python.
Psychometric analysis in Python: CTT item stats, Cronbach's alpha, EFA, CFA with semopy, 2PL IRT, measurement invariance, and Mantel-Haenszel DIF detection.
Corpus linguistic analysis with NLTK and spaCy: tokenization, collocation, keyword analysis, KWIC concordance, distributional semantics with word2vec, and diachronic frequency trends.
Access historical digital archives via REST APIs: Europeana, Chronicling America, Internet Archive, HathiTrust, DPLA, and OAI-PMH metadata harvesting.
Philosophy literature search: SEP web scraping, PhilPapers API, systematic review, citation tracing, and Chicago-style bibliography generation.
Radiocarbon (14C) dating calibration and Bayesian age modeling using IntCal20/SHCal20/Marine20 curves, sequence modeling with stratigraphic constraints, and uncertainty reporting.
Music information retrieval with librosa: tempo, chroma, MFCCs, spectral features, onset detection, harmonic-percussive separation, pitch, and k-NN similarity search.
Compartmental epidemic modeling (SIR/SEIR/SEIHR) with parameter fitting, Rt estimation, age-structured models, and sensitivity analysis.
Global health data access and analysis: WHO GHO API, IHME GBD, Our World in Data, DALYs, age-standardization, health inequality, and choropleth mapping.
Urban street network analysis with OSMnx: network statistics, centrality, isochrone/walkability analysis, POI extraction, and multi-city comparisons.
Soil data analysis via SoilGrids 2.0 REST API and SSURGO: SOC stocks, texture classification, kriging interpolation, and soil profile visualization.