
Send rich interactive cards with embedded images in Feishu group chats. Use when reporting progress, sharing analysis results, or presenting any content that benefits from mixed text+image layout in Feishu. Combines SVG UI templates (or matplotlib/PIL charts) with Feishu Card Kit API.
CJK (中日韩) 字体检测与 matplotlib 配置。任何涉及中文标签、标题、图例的 可视化任务启动前必须先执行本 skill 的字体检测流程,确保不会出现方块乱码。 适用于 matplotlib / seaborn / plotly 静态导出等场景。
Generate professional SVG UI panels for structured information display. Use when presenting lists, task checklists, pipeline/dependency status diagrams, or rich-text report layouts as SVG images. Covers four templates - list-panel, checklist-panel, pipeline-status, richtext-layout. Style is professional, business-oriented, academic-grade with Material Design color palette.
Systematic methodology for reproducing published academic papers using provided data. Use when the user asks to reproduce, replicate, or verify results from a published paper, including sample selection, descriptive statistics, regression analyses, and generating reproduction reports (Markdown + LaTeX PDF). Covers the full pipeline: data exploration, variable identification/mapping, sample filtering, variable construction, statistical analysis, result comparison, and documentation. Applicable to any observational study, clinical cohort, or survey-based research paper.
Dispatch biomedical research and data analysis tasks to Claude Code with K-Dense Scientific Skills. Use this skill when the user asks to run any bioinformatics, genomics, drug discovery, clinical data analysis, proteomics, multi-omics, medical imaging, or scientific computation task. Also use for literature search (PubMed, bioRxiv), pathway analysis, protein structure prediction, or scientific writing tasks.
CHARLS (China Health and Retirement Longitudinal Study) database-specific knowledge for reproducing published papers. Use when reproducing or analyzing papers that use CHARLS data, including variable mapping from harmonized to raw questionnaire items, cognitive function scoring (episodic memory, mental status, TICS), CESD-10 depression screening, social isolation index construction, and chronic disease coding. Also use for any CHARLS data cleaning, variable construction, or cohort selection task.
# Local Research Dashboard Skill ## 概述 每次科研任务开始时,生成一个临时的本地 dashboard,动态展示任务关键信息和产物预览。 ## 组件 - `state.json`:数据协议,openclaw 负责写入和更新 - `dashboard.html`:本地单文件页面,轮询 state.json 并渲染 - `dashboard_serve.py`:静态文件服务器,serve 任务根目录 所有文件放在**任务独立目录**中(如 `data/<task_name>/dashboard/`)。 --- ## state.json Schema ```json { "title": "任务标题", "updated_at": "2024-01-01 12:00:00", "panels": [ { "type": "progress|text|list|code|table|image|files|step", "label": "面板标题(可折叠的标识)", "content":
Science of science analysis covering disruption index, team size effects, sleeping beauty detection, and knowledge recombination with citation data.
Scientific literature topic modeling with LDA and BERTopic: coherence optimization, dynamic trends, PyLDAvis visualization, and OpenAlex/PubMed abstract workflows.
Use this Skill for educational measurement with IRT: 2PL/3PL calibration, item information function, DIF detection, and test equating (Stocking-Lord).
Educational psychology experiment design and analysis covering IRT, growth modeling, A/B testing, and learning curve estimation for research.
Use this Skill for urban remote sensing: impervious surface mapping, NDVI urban heat island, building footprint extraction, and land use change detection.
Use this Skill for epidemiological survival analysis: Kaplan-Meier with log-rank test, Cox PH (time-varying covariates, Schoenfeld residuals), AFT models, and competing risks.
Use this Skill for historical GIS: georeferencing historical maps with GDAL, digitizing boundaries, temporal territory change overlays, and historical population interpolation.
Use this Skill for computational pragmatics: speech act classification, implicature detection, discourse coherence, and politeness analysis with NLP.
Use this Skill for digital qualitative methods: interview coding, thematic analysis, grounded theory, and NLP-assisted codebook development in Python.
Use this Skill for demographic methods: life tables, Leslie matrix population projection, Lee-Carter mortality forecast, and Kitagawa decomposition.
Quantitative text analysis for political science: LDA topic modeling, Wordfish scaling, sentiment with VADER, TF-IDF ideology classification, and NER for actors.
Use this Skill for electoral analysis: CLEA election data, effective number of parties, ecological inference, turnout modeling, and gerrymandering metrics.
Use this Skill for option valuation: Black-Scholes pricing, Monte Carlo simulation with variance reduction, binomial tree, Greeks computation, and implied volatility surface.
Run OLS regressions with full diagnostics: heteroscedasticity tests, robust/clustered SEs, VIF, structural breaks, and publication-ready tables via statsmodels.
Run and post-process OpenFOAM CFD simulations using PyFoam, pyvista, and vtk for mesh setup, solver control, and visualization.
DoWhy and CausalML toolkit for causal DAG construction, effect identification, ATE estimation, propensity score matching, and refutation testing.
Labeled multi-dimensional array analysis with xarray: NetCDF/HDF5 I/O, lazy Dask loading, rechunking, Zarr stores, and CF conventions.
Use this Skill for classical molecular dynamics simulations with LAMMPS: force field selection (LJ, EAM, CHARMM), NVT/NPT ensembles, RDF/MSD post-processing, and OVITO visualization.
SciPy numerical toolkit for physics: ODE/PDE solving, FFT analysis, optimization, numerical integration, and sparse linear algebra with real-world examples.
Use this Skill for development economics: LSMS data loading, RCT ITT analysis, Lee sharp bounds, covariate balance table, propensity score matching, and poverty indices (FGT).
Use this Skill for formal logic and automated reasoning: Z3 SMT solver for propositional/first-order logic, modal logic S5, SAT problem encoding, and Lean4 proof verification.
Vector GIS analysis with GeoPandas: spatial joins, overlays, buffer/dissolve, choropleth maps, and rasterio integration for raster-vector workflows.
Global health data access and analysis: WHO GHO API, IHME GBD, Our World in Data, DALYs, age-standardization, health inequality, and choropleth mapping.
Use this Skill for health economic evaluation: cost-effectiveness analysis (ICER), Markov cohort models, QALY calculation, probabilistic sensitivity analysis, and cost-effectiveness planes.
Use this Skill for historical linguistics: sound correspondences, cognate detection, phylogenetic tree inference, and Swadesh list analysis in Python.
Use this Skill for historical network analysis: correspondence networks, prosopographic data, temporal community detection, betweenness over time, and Gephi GEXF export.
Use this Skill for DEM-based hydrological analysis: watershed delineation, flow direction/accumulation, stream networks, and runoff estimation with pysheds.
Use this Skill to work with IIIF digital collection APIs: manifest parsing, image region download, annotation extraction, and cross-institution collection search.
Use this Skill for computational art history: CNN feature extraction, style classification on WikiArt, color palette analysis, and brushstroke texture metrics.
Use this Skill for international relations quantitative research: gravity trade model (PPML), COW bilateral trade, RTA trade effects, and GDELT event data analysis.
Instrumental variables and 2SLS: first-stage diagnostics, Wu-Hausman endogeneity test, Sargan overidentification, weak instrument tests, and linearmodels implementation.
Knowledge graph construction, SPARQL querying, and entity linking for library and research data management using RDF and Wikidata.
Write, compile, and submit LaTeX papers: IMRaD structure, key packages, bibliography management, arXiv preparation, and common error fixes.
Urban street network analysis with OSMnx: network statistics, centrality, isochrone/walkability analysis, POI extraction, and multi-city comparisons.
Panel data econometrics with Python linearmodels; covers pooled OLS, fixed/random effects, Hausman test, clustered SE, Arellano-Bond GMM, and regression tables.
Use this Skill for agent-based social modeling with Mesa: opinion dynamics, segregation, social contagion, and network diffusion simulations.
Use this Skill for agricultural remote sensing: Sentinel-2 crop type mapping (Random Forest), NDVI phenology analysis, LAI estimation, and yield prediction from satellite composites.
Use this Skill to access OpenAQ air quality data (PM2.5, O3, NO2), compute spatial interpolation, health exposure indices, and city comparisons.
Use this Skill for archaeological GIS: site catchment analysis, viewshed computation, kernel density estimation, and spatial statistics with GeoPandas.
Use this Skill to extract and visualize argument structure: Toulmin reconstruction, support/attack graph, circularity detection, argument scheme classification, and NLP-based premise extraction.
Use this Skill for artifact analysis: typological classification, ceramic attribute coding, lithic reduction analysis, and correspondence analysis.
Atomic Simulation Environment (ASE) for atomistic simulations: structure building, geometry optimization, NEB, molecular dynamics, and trajectory analysis.
Astronomical data analysis with astropy and astroquery — FITS I/O, WCS transforms, catalog cross-matching, aperture photometry, and CMB power spectra.
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 PyMC 5.x and ArviZ.
Organize, validate, and query neuroimaging datasets in BIDS 1.8 format using pybids, mne-bids, and datalad; covers EEG, fMRI, and derivatives conventions.
Containerize research environments with Docker and Singularity for reproducible computation, HPC deployment, and research environment management.
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.
Corpus linguistic analysis with NLTK and spaCy: tokenization, collocation, keyword analysis, KWIC concordance, distributional semantics with word2vec, and diachronic frequency trends.
Data version control with DVC covering pipeline tracking, remote storage, experiment comparison, and reproducible ML workflows for research.
Create publication-quality figures with matplotlib/seaborn (Python) or ggplot2 (R). Covers multi-panel layouts, colorblind-safe palettes, and journal export settings.
Use this Skill to simulate spiking neural networks with Brian2: LIF/AdEx neurons, STDP, recurrent networks, raster plots, and mean-field analysis.
Use this Skill for combustion simulations with Cantera: mechanism loading, freely propagating flames, ignition delay, reactors, and sensitivity analysis.
Use this Skill to score and interpret clinical scales: PHQ-9, GAD-7, PCL-5, reliable change index (RCI), norm comparison, and longitudinal change visualization.
Use this Skill for comparative political analysis: QoG, Polity 5, Freedom House merge, cross-sectional OLS with FE, multilevel models, and regime classification.
Complex systems methods: power-law fitting, Hurst exponent, fractal dimension, Mesa agent-based modeling, sample entropy, percolation, and information theory.
Use this Skill for quantitative conflict research: ACLED and UCDP data download, spatio-temporal clustering (DBSCAN), conflict onset logit panel, and fatality estimation.
Use this Skill for conjoint survey experiments: profile design, AMCE estimation via OLS, marginal means, interaction effects, and respondent-level heterogeneity.
Use this Skill for functional connectome analysis: connectivity matrices, graph metrics (clustering, path length, modularity), rich-club, hub detection.
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 decomposition. Covers both Python (linearmodels) and R (did package).
Access historical digital archives via REST APIs: Europeana, Chronicling America, Internet Archive, HathiTrust, DPLA, and OAI-PMH metadata harvesting.
Use this Skill for macroeconomic forecasting: ARIMA, VAR, ML ensemble (LightGBM), Diebold-Mariano test, fan chart generation, and real-time ALFRED data.
Educational data mining: BKT knowledge tracing, dropout survival analysis, IRT, sequence mining, and at-risk prediction from LMS logs.
Compartmental epidemic modeling (SIR/SEIR/SEIHR) with parameter fitting, Rt estimation, age-structured models, and sensitivity analysis.
Download and analyze ERA5 reanalysis climate data via the Copernicus CDS API, compute anomalies, trend analysis, and produce publication-quality climate maps.
Use this Skill for AI ethics analysis: algorithmic fairness metrics, bias auditing, value alignment frameworks, and moral philosophy reasoning.
Event study methodology in finance: estimate abnormal returns, CARs, BMP tests, Fama-French 3-factor normal returns, and long-run BHAR analysis using yfinance.
Design rigorous experiments: sample size calculation, randomization strategies, pre-registration, and AB test duration estimation.
Use this Skill to analyze eye-tracking data: IVT fixation detection, AOI dwell time, scanpath similarity, heatmap generation, and pupillometry baseline correction.
Asset pricing factor models: Fama-French 3/5-factor, Carhart 4-factor, q-factor; OLS regressions, rolling loadings, and GRS test for alpha.
Use this Skill for financial time series analysis: GARCH volatility modeling, cointegration, pairs trading, factor models, and risk decomposition.
Use this Skill for FEA with FEniCSx or scikit-fem: mesh generation, boundary conditions, linear elasticity, heat conduction, and result visualization.
Use this Skill for fixed income analytics: bond pricing, yield curves, duration/convexity, Nelson-Siegel fitting, and credit spread modeling.
Use this Skill to analyze food systems data from FAOSTAT: production/trade/food balance sheets, food security indicators, dietary diversity, and trade flow Sankey diagrams.
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, citation snowballing, BibTeX export, and annual trend visualization.
Analyze molecular dynamics trajectories with MDAnalysis — RMSD, RMSF, hydrogen bonds, contact maps, and protein-ligand distances.
Atmospheric analysis with MetPy and Siphon: download NWP data from THREDDS/NOMADS, plot skew-T log-P diagrams, compute CAPE/CIN parcel metrics, and build synoptic composites.
Mixed methods research design with qualitative-quantitative integration, triangulation, content analysis, and systematic comparison using NVivo-style coding.
Use this Skill to apply machine learning in research: scikit-learn pipelines, FLAML AutoML, SHAP explainability, nested cross-validation, and model cards.
Use this Skill for urban mobility analysis: GPS trajectory processing, stop detection, OD matrix construction, and mobility entropy metrics.
Use this Skill when simulating physical systems with Monte Carlo methods: statistical integration, MCMC sampling, Ising model, error estimation.
Use this Skill for multilevel/mixed-effects models: random intercepts/slopes, ICC, model comparison, ESM data within-person centering, and pymer4 with lme4.
Use this Skill for computational musicology with music21: score analysis, harmonic reduction, melodic contour, counterpoint checking, and corpus comparison.
Use this Skill for graph construction, centrality measures (betweenness, PageRank), community detection (Louvain), and random graph models via networkx.
Process and analyze NMR spectra with nmrglue — FID processing, peak picking, chemical shift referencing, and J-coupling extraction.
Use this Skill for SVD, PCA, eigendecomposition, Cholesky, iterative solvers, sparse matrix formats, and condition number analysis with numpy and scipy.
Use this Skill for seismological analysis with ObsPy: waveform download, filtering, P/S phase picking, moment magnitude, and spectral analysis.
Bibliometric analysis using the OpenAlex API covering co-authorship networks, citation analysis, h-index, and research trend mapping.
Use this Skill for chemical file format interconversion (SDF, SMILES, MOL2, PDB), 3D coordinate generation, conformer enumeration, and reaction SMARTS.
Use this Skill to deposit, document, and share research data: Zenodo/OSF API upload, FAIR assessment, DMP generation, data dictionary, and Dublin Core/DataCite metadata.
Use this Skill to process oral history recordings: Whisper transcription with timestamps, pyannote speaker diarization, OHMS metadata XML, and speaker anonymization.
Use this Skill to analyze PISA/TIMSS international large-scale assessment data: plausible values averaging, Fay's BRR variance estimation, and cross-national SES gradients.
Use this Skill to build optimal portfolios: mean-variance frontier, minimum variance, maximum Sharpe, Black-Litterman views, and risk parity with PyPortfolioOpt.
Use this Skill to preregister a study on OSF or AsPredicted, generate CONSORT/STROBE/PRISMA compliance checklists, and track deviations between the registered protocol and final analysis.
Psychometric analysis in Python: CTT item stats, Cronbach's alpha, EFA, CFA with semopy, 2PL IRT, measurement invariance, and Mantel-Haenszel DIF detection.
Use this Skill for PsychoPy experiment design: stimulus presentation, response collection, TTL synchronization, BIDS event files, and reaction time analysis.
Use this Skill for materials science with pymatgen: crystal structure manipulation, Materials Project API queries (bandgap, DOS, formation energy), phase diagrams, and symmetry analysis.
Python research package development with pyproject.toml, testing with pytest, documentation with Sphinx, and publishing to PyPI for academic software.
Use this Skill for quantum computing experiments with Qiskit: qubit circuits, gates, measurement, VQE/QAOA variational algorithms, noise models, and statevector vs shot simulation.
Reproducible research reporting with Quarto covering parameterized reports, multi-format output, inline computation, and journal article templates.
Use this Skill for cheminformatics with RDKit: SMILES/InChI parsing, Morgan fingerprints, Tanimoto similarity, Murcko scaffold decomposition, substructure search, and chemical space visualization.
Use this Skill to analyze reaction time data: outlier removal, ex-Gaussian distribution fitting, EZdiff DDM parameters, and HDDM-equivalent drift-diffusion models with PyMC.
Use this Skill to write structured academic peer-review rebuttals: point-by-point responses, tone calibration, LaTeX templates, and cover letters for re-submission.
Regional economic analysis with shift-share, location quotients, input-output models, and spatial econometrics for research and policy.
Use this Skill for research data lifecycle management: codebook generation, DVC versioning, anonymization (k-anonymity, pseudonymization), and README templates.
Use this Skill to pool effect sizes across studies: fixed/random-effects models, heterogeneity tests (I², Cochran Q), forest plot, funnel plot, Egger test, and subgroup analysis using pymare or manual computation.
Select and run the correct hypothesis test based on data properties. Covers parametric/non-parametric tests, effect sizes, and multiple comparison correction.
Use this Skill to solve PDEs with the finite element method using FEniCS/dolfinx: weak form formulation, mesh generation with gmsh, Poisson/elasticity problems, boundary conditions, and paraview export.
Physics-informed neural networks, neural ODEs, and data-driven force-field learning using PyTorch, DeepXDE, and torchdiffeq.
SymPy symbolic computation for physics: algebra, calculus, linear algebra, ODE solving, Lagrangian mechanics, quantum physics, and code generation.
Use this Skill for quantum chemistry calculations with PySCF: HF/DFT single-point energy, geometry optimization, MP2/CCSD(T) post-HF methods, basis set selection, and molecular orbital analysis.
Use this Skill for reliability engineering: Weibull analysis, fault tree analysis, FMEA, reliability block diagrams, and accelerated life testing.
Apply persistent homology, Betti numbers, and mapper graphs to extract topological features from complex datasets.
Use this Skill for survival analysis: Kaplan-Meier estimator, log-rank test, Cox PH model (Schoenfeld residuals), AFT models, competing risks (Fine-Gray), and time-varying covariates with lifelines.
Download and analyze oceanographic data from Copernicus Marine Service and Argo floats using copernicusmarine, gsw, and xarray.
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.
Use this Skill when conducting a systematic literature review following PRISMA 2020: PICO framework, database search strategy, title/abstract screening, full-text eligibility, data extraction, and GRADE evidence grading.
ROS2 robotics development with rclpy: nodes, topics, services, actions, tf2 transforms, and Nav2 navigation.
Automated spike sorting pipeline using SpikeInterface with Kilosort2/Mountainsort5, quality metrics, and Phy export for extracellular neural recordings.
Use this Skill to access WRDS databases: Compustat fundamentals, CRSP returns, TAQ microstructure, and linking tables via wrds Python package.
Use this Skill for labor economics analysis: Mincer wage equation, Heckman selection, Oaxaca-Blinder decomposition, CPS data cleaning, and unconditional quantile regression.
Fetch and analyze FRED macroeconomic time series data using fredapi; covers GDP, unemployment, inflation, yield curves, recession shading, and HP filtering.
Use this Skill for machine learning in econometrics: Post-LASSO for high-dimensional controls, Double/Debiased ML (DML) for ATE/ATT, cross-fitting, and valid post-selection inference.
Use this Skill for multivariate time series: VAR, Granger causality, Johansen cointegration, VECM, impulse response functions, and forecast error variance decomposition.
Regression discontinuity design: sharp and fuzzy RDD, bandwidth selection, manipulation tests, covariate balance checks, and rdrobust-style Python/R implementation.
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.
Use this Skill for political survey analysis: complex sampling with weights, ANES/CCES/ESS data loading, weighted logit/ordered logit, and cross-national equivalence testing.
Research impact measurement with altmetrics, citation normalization, field-weighted indicators, and journal ranking analysis for evaluation studies.
Use this Skill for inequality analysis: Gini coefficient, Lorenz curves, Theil index decomposition, income mobility, and distributional regression.
Use this Skill for statistical power analysis in psychological research: t-tests, ANOVA, correlation, regression, mediation, and simulation-based designs with Python.
Use this Skill for psychology meta-analysis: Cohen's d, Hedges' g, random-effects pooling, forest plot, publication bias (Egger, p-curve, PET-PEESE), and sensitivity analysis.
Use this Skill to design behavioral experiments with PsychoPy: stimulus presentation, response timing, BIDS events.tsv generation, and Pavlovia online deployment checklist.
Use this Skill to transcribe historical documents: Tesseract 5 OCR with preprocessing, Kraken for historical fonts, confidence filtering, and post-OCR correction with symspellpy.
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.
Housing market analysis with hedonic pricing, spatial autocorrelation, affordability metrics, and repeat-sales index construction for urban research.
Use this Skill to make a research project fully reproducible: conda/renv environment locking, DVC data versioning, Dockerfile for analysis, and FAIR data principles.
Use this Skill for crop growth simulation: WOFOST/AquaCrop via pcse, meteorological input from NASA POWER API, yield gap analysis, and climate scenario comparison.
Read, reproject, resample, and analyze multispectral GeoTIFF imagery with rioxarray and rasterio; compute NDVI/EVI, mask clouds, mosaic scenes, and export Cloud-Optimized GeoTIFFs.
R research package development with devtools, roxygen2 documentation, testthat testing, CRAN submission, and vignette creation for statistical methods.
Use this Skill for Google Earth Engine satellite analysis: NDVI time series, LULC classification, change detection, and GeoTIFF export via geemap and ee.
Use this Skill for bibliometric analysis: author h-index, citation counts, co-authorship networks, co-citation analysis, bibliographic coupling, and VOSviewer-compatible output.
Digital signal processing with scipy.signal: filter design, spectral analysis, peak detection, PSD estimation, and adaptive filtering for engineering workflows.
Use this Skill for discrete-event simulation with SimPy: M/M/c queues, manufacturing lines, resource contention, and confidence intervals via replications.
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 to build NLP pipelines with spaCy: tokenization, POS tagging, dependency parsing, NER, custom rule components, and multi-language model selection.
Use this Skill for social stratification: intergenerational income mobility (Chetty rank-rank), occupational prestige (ISEI), EGP class schema, and transition matrices.
Use this Skill to design, validate, and deploy research surveys: Likert scale construction, attention checks, pilot testing, ICC reliability, and Qualtrics/LimeSurvey export.
Use this Skill for systematic reviews: meta-regression, publication bias tests (Egger, funnel plot), GRADE evidence synthesis, and forest plots.
Use this Skill to encode historical documents in TEI XML P5: critical apparatus, named entity markup (persName/placeName), XPath analysis with lxml, and XSLT transformation.
Scientific text mining with topic modeling, NER for scientific entities, claim extraction, and trend detection in research literature corpora.
Use this Skill for time series analysis: ARIMA/SARIMA identification (ACF/PACF, AIC), seasonal decomposition (STL), VAR, GARCH volatility, and forecast evaluation.
Use this Skill for linguistic typology with WALS data: cross-linguistic feature analysis, Greenbergian universals, and typological maps in Python.
Use this Skill for research version control: Git workflow for analysis code, DVC data pipelines, GitHub Actions for reproducibility CI, and .env secrets management.
Soil data analysis via SoilGrids 2.0 REST API and SSURGO: SOC stocks, texture classification, kriging interpolation, and soil profile visualization.
Use this Skill for spatial epidemiology: Moran's I spatial autocorrelation, LISA cluster detection, SaTScan-equivalent Knox test, and Bayesian disease mapping.
Use this Skill to query ChEMBL for bioactivity data: target lookup, IC50/Ki retrieval, activity cliffs, SAR tables, and pChEMBL-normalized values.
Use this Skill for climate trend analysis: Mann-Kendall test, Sen's slope, extreme indices (RX1day, R10mm), percentile thresholds, IPCC-style figures.
Patent landscape analysis with IPC classification, citation networks, technology emergence detection, and inventor collaboration mapping.
Use this Skill for acoustic phonetics: Praat-style pitch extraction, formant analysis, spectrogram generation, and Voice Onset Time measurement in Python.
Use this Skill for archaeological photogrammetry: 3D point cloud processing, mesh analysis, cross-section profiles, and volume measurement with Open3D.
Use this Skill to structure research grant proposals: NSF/NIH Specific Aims, budget justification, ERC narrative sections, structured abstracts, and biosketch formatting.
Seismological data analysis with ObsPy — FDSN waveform download, response removal, phase picking, moment tensor inversion, and seismicity mapping.
Use this Skill for 3D scientific visualization with Mayavi: vector fields, isosurfaces, volume rendering, and animated 3D plots for physics data.
Use this Skill for operations research and optimization: LP/QP/MILP with cvxpy and OR-Tools, convex relaxation, sensitivity analysis, and Gurobi/GLPK solver interface.
Query GBIF occurrence data, apply spatial thinning, and build species distribution models using pygbif, geopandas, and elapid.
Use this Skill for synthetic control causal inference: donor pool selection, weight optimization via scipy, pre-period balance, post-period gap plot, placebo tests, and permutation p-values.