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xjtulyc/awesome-rosetta-skills - Page 4

SkillsMP has collected 163 skills from xjtulyc/awesome-rosetta-skills. Open a skill to review its source and details.

xjtulyc/awesome-rosetta-skills

Showing 40 of 163 collected skills.

occupation
Biological Scientists, All Other
description

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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occupation
Software Developers
description

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.

updated
occupation
Data Scientists
description

Design rigorous experiments: sample size calculation, randomization strategies, pre-registration, and AB test duration estimation.

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occupation
Software Developers
description

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,…

updated
occupation
English Language & Literature Teachers, Postsecondary
description

Use this Skill to write structured academic peer-review rebuttals: point-by-point responses, tone calibration, LaTeX templates, and cover letters for re-submission.

updated
occupation
Software Developers
description

Use this Skill for bibliometric analysis: author h-index, citation counts, co-authorship networks, co-citation analysis, bibliographic coupling, and VOSviewer-compatible output.

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occupation
Data Scientists
description

Select and run the correct hypothesis test based on data properties. Covers parametric/non-parametric tests, effect sizes, and multiple comparison correction.

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occupation
Data Scientists
description

SciPy numerical toolkit for physics: ODE/PDE solving, FFT analysis, optimization, numerical integration, and sparse linear algebra with real-world examples.

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occupation
Mathematicians
description

SymPy symbolic computation for physics: algebra, calculus, linear algebra, ODE solving, Lagrangian mechanics, quantum physics, and code generation.

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occupation
Chemists
description

Atomic Simulation Environment (ASE) for atomistic simulations: structure building, geometry optimization, NEB, molecular dynamics, and trajectory analysis.

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occupation
Data Scientists
description

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…

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occupation
Data Scientists
description

DoWhy and CausalML toolkit for causal DAG construction, effect identification, ATE estimation, propensity score matching, and refutation testing.

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occupation
Software Developers
description

Download and analyze ERA5 reanalysis climate data via the Copernicus CDS API, compute anomalies, trend analysis, and produce publication-quality climate maps.

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occupation
Data Scientists
description

Vector GIS analysis with GeoPandas: spatial joins, overlays, buffer/dissolve, choropleth maps, and rasterio integration for raster-vector workflows.

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occupation
Biological Scientists, All Other
description

Full EEG/MEG analysis pipeline with MNE-Python: preprocessing, ICA artifact removal, ERP computation, time-frequency analysis, and resting-state power spectral density.

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occupation
Biological Scientists, All Other
description

fMRI neuroimaging analysis with nilearn: GLM, resting-state functional connectivity, ICA, MVPA decoding, and brain map visualization.

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occupation
Software Developers
description

Digital signal processing with scipy.signal: filter design, spectral analysis, peak detection, PSD estimation, and adaptive filtering for engineering workflows.

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occupation
Data Scientists
description

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…

updated
occupation
Data Scientists
description

Fetch and analyze FRED macroeconomic time series data using fredapi; covers GDP, unemployment, inflation, yield curves, recession shading, and HP filtering.

updated
occupation
Data Scientists
description

Instrumental variables and 2SLS: first-stage diagnostics, Wu-Hausman endogeneity test, Sargan overidentification, weak instrument tests, and linearmodels implementation.

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occupation
Data Scientists
description

Run OLS regressions with full diagnostics: heteroscedasticity tests, robust/clustered SEs, VIF, structural breaks, and publication-ready tables via statsmodels.

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occupation
Financial Risk SpecialistsFinancial & Investment Analysts+1
description

Panel data econometrics with Python linearmodels; covers pooled OLS, fixed/random effects, Hausman test, clustered SE, Arellano-Bond GMM, and regression tables.

updated
occupation
Data Scientists
description

Regression discontinuity design: sharp and fuzzy RDD, bandwidth selection, manipulation tests, covariate balance checks, and rdrobust-style Python/R implementation.

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occupation
Data Scientists
description

Event study methodology in finance: estimate abnormal returns, CARs, BMP tests, Fama-French 3-factor normal returns, and long-run BHAR analysis using yfinance.

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occupation
Financial & Investment AnalystsFinancial Risk Specialists
description

Asset pricing factor models: Fama-French 3/5-factor, Carhart 4-factor, q-factor; OLS regressions, rolling loadings, and GRS test for alpha.

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occupation
Political Scientists
description

Quantitative text analysis for political science: LDA topic modeling, Wordfish scaling, sentiment with VADER, TF-IDF ideology classification, and NER for actors.

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occupation
Data Scientists
description

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.

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occupation
Data Scientists
description

Computational social science methods: social media data collection, bot detection, network homophily, echo chamber analysis, and conjoint survey experiments.

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occupation
Data Scientists
description

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.

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occupation
Data Scientists
description

Use this Skill for statistical power analysis in psychological research: t-tests, ANOVA, correlation, regression, mediation, and simulation-based designs with Python.

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occupation
Data Scientists
description

Psychometric analysis in Python: CTT item stats, Cronbach's alpha, EFA, CFA with semopy, 2PL IRT, measurement invariance, and Mantel-Haenszel DIF detection.

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occupation
Data Scientists
description

Corpus linguistic analysis with NLTK and spaCy: tokenization, collocation, keyword analysis, KWIC concordance, distributional semantics with word2vec, and diachronic frequency trends.

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occupation
Data Scientists
description

Access historical digital archives via REST APIs: Europeana, Chronicling America, Internet Archive, HathiTrust, DPLA, and OAI-PMH metadata harvesting.

updated
occupation
Software Developers
description

Philosophy literature search: SEP web scraping, PhilPapers API, systematic review, citation tracing, and Chicago-style bibliography generation.

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occupation
Anthropologists & Archeologists
description

Radiocarbon (14C) dating calibration and Bayesian age modeling using IntCal20/SHCal20/Marine20 curves, sequence modeling with stratigraphic constraints, and uncertainty reporting.

updated
occupation
Data Scientists
description

Music information retrieval with librosa: tempo, chroma, MFCCs, spectral features, onset detection, harmonic-percussive separation, pitch, and k-NN similarity search.

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occupation
Data Scientists
description

Compartmental epidemic modeling (SIR/SEIR/SEIHR) with parameter fitting, Rt estimation, age-structured models, and sensitivity analysis.

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occupation
Data Scientists
description

Global health data access and analysis: WHO GHO API, IHME GBD, Our World in Data, DALYs, age-standardization, health inequality, and choropleth mapping.

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occupation
Data Scientists
description

Urban street network analysis with OSMnx: network statistics, centrality, isochrone/walkability analysis, POI extraction, and multi-city comparisons.

updated
occupation
Data ScientistsSoftware Developers
description

Soil data analysis via SoilGrids 2.0 REST API and SSURGO: SOC stocks, texture classification, kriging interpolation, and soil profile visualization.

updated
Showing 40 of 163 collected skills.