Data & Analytics

Data analysis, BI, visualization, datasets, statistics, and ML workflows

skills in category: 12,625
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Showing 1,033–1,056 of 12,625 skills

Setup DoctorACheck whether this machine can author Zebra BI reports in Power BI, and say what it can and cannot verify. Run it before authoring anything, and again after installing a dependency. It reports Power BI Desktop, the .pbip project shape, Zebra visual registration, licence state, Node, the validator, the Desktop Bridge, the resulting verification tier, and any conflict with the user's own instruction files. Use when the user says "check my setup", "is this machine ready", "why is the validator n...datagonodeVotes: 0GitHub stars: 2
Report PublishingAThe Zebra-specific things to do around publishing a report to a Power BI or Fabric workspace. Microsoft's powerbi-report-management skill does the upload; this covers the visual-track decision that has to be made before you publish, the Zebra licence in the service, and the post-publish refresh without which a report built from a portable .pbip is silently empty. Use when the user says "publish", "upload", "push to Fabric", "deploy the report", "share it with the team", or asks why a publishe...datagoazureVotes: 0GitHub stars: 2
Report AuthoringAPlan, author and verify Zebra BI reports (Tables+, Charts+, Cards, certified Tables and Charts) in PBIP/PBIR from the terminal: frame the reader and the comparison (analyst layer), choose visual form, size, scale and sort (IBCS design layer), write the TMDL model, then bindings, variance semantics, formatting, small multiples, comment layers, pre-flight and the screenshot verify loop. Use when creating or editing a Power BI report with Zebra BI visuals, building from a saved .pbip or a flat s...datarustgoVotes: 0GitHub stars: 2
Dataviz DesignADesign rules, chart selection and review checklists for charts, graphs, plots and dashboards. Use this skill whenever you are about to create, choose, critique or fix a data visualisation (visualization) in any tool, including matplotlib, seaborn, plotly, ggplot2, D3, Vega-Lite, Recharts, Excel, Tableau and Power BI. It covers picking a chart type, colours and palettes, axes and baselines, stacked charts, pies, bubbles, heatmaps, histograms, box and violin plots, trend lines and smoothing, ti...datapythonrustVotes: 0GitHub stars: 2
SkillACreate, fix and verify interactive visualizations in Obsidian notes with the Prism plugin (```viz code blocks with HTML/SVG/JS, Chart.js, D3, Mermaid, KaTeX/LaTeX formulas, declarative charts from Markdown tables, Bases chart views). Use whenever the user wants a chart, graph, diagram, dashboard, timeline, widget, formula or visual overview in an Obsidian vault that has .obsidian/plugins/prism-viz – also for "Diagramm", "Grafik", "Visualisierung", "Dashboard", "Auswertung", "Übersicht", "Form...databashreactVotes: 0GitHub stars: 10
Find Past SessionAFind or recall a past Claude or Codex session. Use when the user refers to an earlier session ("the session from yesterday", "what did we do about X", "find the session where…") or names an Emacs buffer such as *agent-log-search*. Not for what a live session is doing now (live-session-status).dataVotes: 0GitHub stars: 12
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Find Past SessionAFind or recall a past Claude or Codex session. Use when the user refers to an earlier session ("the session from yesterday", "what did we do about X", "find the session where…") or names an Emacs buffer such as *agent-log-search*. Not for what a live session is doing now (live-session-status).dataVotes: 0GitHub stars: 12
ReleaseAMaintainer-only release of StreamSnow, driven by scripts/release.py. Subcommands are prepare <X.Y.Z> (bump, close the changelog, commit, run the gates, open the release PR), tag <X.Y.Z> (after the PR merges, tag the release commit so PyPI publishes, then create the GitHub Release) and verify <X.Y.Z> (check the publish landed). suggest recommends a version.datapythonbashVotes: 0GitHub stars: 3
Web LogAHow to use @owlmeans/web-log — the consent-gated analytics plugins for @owlmeans/log in a browser. gtmAnalyticsPlugin pushes `log` calls that carry an analytics option onto window.dataLayer for a tag manager, and only while analytics consent is granted (an event without consent is dropped, never queued); consentedAnalyticsPlugin is the same gate over any sender. Auto-invoked when sending analytics or tag-manager events from application code, importing gtmAnalyticsPlugin or consentedAnalyticsP...datagoVotes: 0GitHub stars: 3
Web LogAHow to use @owlmeans/web-log — the consent-gated analytics plugins for @owlmeans/log in a browser. gtmAnalyticsPlugin pushes `log` calls that carry an analytics option onto window.dataLayer for a tag manager, and only while analytics consent is granted (an event without consent is dropped, never queued); consentedAnalyticsPlugin is the same gate over any sender. Auto-invoked when sending analytics or tag-manager events from application code, importing gtmAnalyticsPlugin or consentedAnalyticsP...datagoVotes: 0GitHub stars: 3
Keyword ClusteringACluster a list of keywords into topical groups with search intent labels, validated search volume, KD, and CPC data. Use this skill whenever a user provides a list of keywords (pasted, uploaded as CSV/Excel, or via Google Sheet URL) and asks to cluster, group, map, organize, or categorize them. Also trigger when a user says "keyword cluster", "cluster my keywords", "group these keywords", "keyword map", "keyword strategy from this list", "organize keywords by topic", or pastes or uploads a li...datapythongoVotes: 0GitHub stars: 158
Geo Seo ClaudeAAudit and optimize content for SEO, GEO (generative engine optimization), and AEO (answer engine optimization). Use when user asks to "audit SEO", "check search visibility", "optimize for AI search", "generate schema markup", "validate metadata", "extract keywords", "optimize for Perplexity/ChatGPT/Gemini", "check Open Graph tags", "submit to IndexNow", or mentions SEO, GEO, AEO, or search optimization. Do NOT use for creating new content from scratch or image optimization.datapythonperformanceVotes: 0GitHub stars: 158
Alterlab Survey AnalysisAAnalyzes complex-sample survey data with design-based inference — declares a survey design (weights, strata, PSUs/clusters, FPC) before estimating means, totals, proportions, ratios, and quantiles, computes design-adjusted standard errors via Taylor linearization or replicate weights (BRR, Jackknife, Bootstrap), calibrates with post-stratification / raking / GREG, and fits design-adjusted GLMs (linear, logistic, Poisson). Uses samplics (stable Python), the emerging svy successor, or the field...datapythonrustVotes: 0GitHub stars: 158
Alterlab SnaAApplies social-network-analysis method discipline to relational data — degree/betweenness/closeness/eigenvector centrality and PageRank, community detection (Louvain and greedy-modularity native in networkx, Leiden via igraph), and inferential network models (ERGM) — choosing the measure that matches the substantive question and the right dependence assumptions, then routing computation to the existing networkx (and igraph/R) tooling. Use when the request mentions social network analysis, cen...datapythongoVotes: 0GitHub stars: 158
Alterlab Sem PsychometricsAFits and evaluates measurement models — confirmatory factor analysis, full structural equation models, exploratory factor analysis, item response theory, and multi-group measurement invariance — using the verified Python stack: semopy (model syntax =~ / ~ / ~~, Model.fit, inspect(std_est=True), calc_stats for CFI/TLI/RMSEA), factor_analyzer (EFA, KMO, Bartlett, ConfirmatoryFactorAnalyzer), and pingouin/girth, computing McDonald's omega from standardized loadings and judging fit against Hu & B...datapythonrustVotes: 0GitHub stars: 158
Alterlab ScgptAApply the scGPT single-cell foundation model (Cui 2024) to annotate and embed cells — zero-shot and fine-tuned cell-type annotation, gene/cell embeddings, batch integration, and gene-regulatory / perturbation inference from AnnData. Use when annotating cell types with a pretrained foundation model, generating scGPT embeddings, integrating batches with a transformer, or running zero-shot single-cell inference on an h5ad. For probabilistic latent models (scVI/scANVI) prefer alterlab-scvi-tools;...datapythonbashVotes: 0GitHub stars: 158
Alterlab QcaARuns Qualitative Comparative Analysis — crisp-set (csQCA), multi-value (mvQCA), and fuzzy-set (fsQCA) — for small-to-medium-N configurational research: calibrating raw data into set membership, building and refining a truth table, and Boolean minimization into conservative / parsimonious / intermediate solutions with consistency and coverage. Because there is no maintained Python QCA library, it shells out to R's QCA package (calibrate, truthTable, minimize) via Rscript and documents that dep...datapythonshellVotes: 0GitHub stars: 158
Alterlab Missing DataAHandles missing data with principled methods — forces an explicit MCAR / MAR / MNAR mechanism statement, then applies multiple imputation by chained equations (MICE) with Rubin's-rules pooling of estimates and standard errors, or full-information maximum likelihood (FIML) where a likelihood/SEM model applies. Uses statsmodels MICE / MICEData in Python or the field-standard R mice via Rscript, and warns that single (mean/regression) imputation and scikit-learn's IterativeImputer return one com...datapythonbashVotes: 0GitHub stars: 158
Alterlab Causal InferenceAEstimates causal effects from observational and quasi-experimental data — difference-in-differences, instrumental variables, regression discontinuity, panel fixed effects, propensity-score / doubly-robust methods, and heterogeneous treatment effects (CATE) — using the verified Python stack: statsmodels and linearmodels (PanelOLS, IV2SLS), pyfixest (feols, event studies, Sun-Abraham, did2s), DoWhy (identify -> estimate -> refute), EconML (LinearDML, CausalForestDML, DRLearner), and rdrobust fo...datapythonbashVotes: 0GitHub stars: 158
Alterlab Abm MesaABuilds agent-based models of social systems with Mesa 3 — the current AgentSet API (model.agents.shuffle_do('step'), auto-assigned unique_id, mandatory super().__init__(seed=...)), cell spaces (mesa.discrete_space OrthogonalMooreGrid / classic mesa.space grids), the DataCollector, batch_run parameter sweeps, and SolaraViz — for emergence, segregation, diffusion, opinion dynamics, and cooperation models. It uses the Mesa 3.x API (the old mesa.time schedulers like RandomActivation are removed) ...datapythongoVotes: 0GitHub stars: 158
Spec AnalyticsASpecify the events, funnels, dashboards, and guardrails needed to measure an initiative. Guardrail-first by design. Start of the PDLC Measure phase.datagorailsVotes: 0GitHub stars: 10
Review MetricsARead the dashboards, compare actuals against goals, surface anomalies, and produce a health report. Part of the PDLC Measure phase.datagorailsVotes: 0GitHub stars: 10
Pdlc StatusADisplay a progress dashboard for product initiatives from .pdlc/ directory data, without modifying any artifacts.datagoVotes: 0GitHub stars: 10
Create TelemetryADefine analytics events, success metrics, and telemetry for a feature so usage can be measured from day one.datagonodeVotes: 0GitHub stars: 10