Data & Analytics

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

skills in category: 12,625
pages available: 527

Security grades appear on each card once the skill has been scanned. Newly imported skills may briefly show without a grade until the backfill job runs.

Open in full browser

Browse data & analytics skills

Showing 11,521–11,544 of 12,625 skills

Project OverviewAUse when the user asks about a specific project or all projects — e.g. 'show me project X', 'project overview', 'what projects do I have', 'project summary'datarustgoVotes: 0GitHub stars: 104
InsightsAUse when the user asks about patterns, insights, or behavioral analysis — e.g. 'what patterns do you see', 'insights', 'how am I doing', 'behavioral analysis'datarustgoVotes: 0GitHub stars: 104
Export DataAUse when the user wants to export session data — e.g. 'export my sessions', 'download data', 'export to CSV', 'get my data'datarustgoVotes: 0GitHub stars: 104
Daily CostAUse when the user asks about cost, spending, or budget — e.g. 'how much did I spend today', 'daily cost', 'cost report', 'what's my spend'datarustgoVotes: 0GitHub stars: 104
Mmm Target UnitsATarget unit handling for MMM: monetary vs acquisition vs volume targets, CPA vs ROAS framing, and value-per-unit conversions. Use when the target variable is not a currency amount (e.g., policies sold, signups, app installs), when designing the spec.yaml target_unit field, or when a CFO report needs to show both CPA and revenue-equivalent ROAS.datapythonVotes: 0GitHub stars: 4
Mmm Multi Geo PanelAMulti-geo panel MMM using pymc-marketing's multidimensional API. Use when the dataset has multiple geographies, DMAs, countries, or regions that should be modeled together. Covers geo column setup, panel data validation, and the multidimensional MMM constructor.datapythonapiVotes: 0GitHub stars: 4
Skills DirectorySkills Directory 3 slots · $399/mo · one ad per page · sponsors can never buy grades.See placements
Mmm Model BuildingAModel construction and prior specification for Marketing Mix Models with pymc-marketing. Use when building a new MMM, choosing adstock/saturation transformations, specifying priors with moment matching, configuring the likelihood, setting up the model constructor, or designing the fitting strategy. Also activate when discussing prior calibration, spend-share sigma, channel prior tables, or model_config dictionaries.datapythongoVotes: 0GitHub stars: 4
Mmm Iterative ImprovementAMMM iterative improvement mechanics: tournament-based model selection and posterior-informed prior tightening. Use when designing or running the improvement loop, understanding tournament scoring, debugging why improvement stalled, or explaining the refinement strategy to stakeholders.datapythongoVotes: 0GitHub stars: 4
Mmm Intake QuestionnaireAIntake questionnaire for MMM projects. Use when starting a new MMM project, resuming an incomplete intake, or updating the spec.yaml. Covers company context, target unit, channel inventory, controls, seasonality, and greenfield vs brownfield classification.dataapiVotes: 0GitHub stars: 4
Mmm Greenfield Vs BrownfieldAGreenfield vs brownfield MMM decision guide. Use when the user asks about starting a new MMM from scratch vs improving an existing one, or when designing the modeling strategy for a company with prior MMM experience.datapythonawsVotes: 0GitHub stars: 4
Mmm External Factors CatalogACatalog of external factors and control columns for MMM. Use when recommending controls for a new model, evaluating which external factors to include, or understanding why certain controls matter for a given industry or region.datagoapiVotes: 0GitHub stars: 4
Mmm DiagnosticsAConvergence diagnostics, fit evaluation, and debugging for Marketing Mix Models. Use when checking rhat, ESS, divergences, evaluating model fit metrics (R-squared, MAPE, wMAPE), debugging sampling issues, assessing overfitting, running model comparison (LOO/WAIC), or validating cross-validation results. Also activate when the user encounters convergence warnings, poor model fit, or needs to understand why a model isn't working.datapythongoVotes: 0GitHub stars: 4
Mmm Data QualityAData quality assessment and preparation for Marketing Mix Models. Use when evaluating datasets for MMM readiness, checking data requirements, validating columns, assessing collinearity, handling missing values, or preparing marketing spend data for pymc-marketing modeling. Also activate when the user asks about minimum data requirements, data granularity, or feature engineering for MMM.datapythonVotes: 0GitHub stars: 4
Mmm Budget OptimizationABudget allocation optimization and sensitivity analysis for Marketing Mix Models. Use when optimizing media budget allocation, setting up BudgetOptimizer with CustomModelWrapper, defining budget bounds and constraints, running sensitivity analysis, comparing current vs. optimal allocation, or advising on budget reallocation strategies. Also activate when the user asks about optimal spend, budget constraints, or allocation scenarios.datapythongitVotes: 0GitHub stars: 4
Mmm AttributionAChannel attribution, ROAS calculation, contribution decomposition, and results interpretation for Marketing Mix Models. Use when extracting channel contributions, calculating return on ad spend, generating response/saturation curves, interpreting model outputs, assessing channel effectiveness, decomposing the target variable into components, or presenting MMM results to stakeholders. Also activate when the user asks about contribution shares, waterfall charts, or which channels are over/under...datapythongitVotes: 0GitHub stars: 4
Subscription DetectionARules for detecting recurring charges and subscriptions from transaction history. Reference this when identifying services the user pays for regularly.datagoVotes: 0GitHub stars: 5
Spending AnalysisASpending analysis rules for aggregation, month-over-month comparison, unusual transaction detection, and savings recommendations. Reference this when generating overviews and reports.datagoVotes: 0GitHub stars: 5
Payslip ParsingAExtraction rules for Danish salary slips (lønsedler). Reference this when processing uploaded payslips for pension tracking and financial advice.datagoVotes: 0GitHub stars: 5
Email Receipt ScanningADomain knowledge for scanning Gmail for receipt and invoice emails. Reference this when processing email-based receipts.datagoVotes: 0GitHub stars: 5
Data SchemasAData structure definitions for all SmartSpender CSV files. Reference this when reading or writing to any data file.datagoapiVotes: 0GitHub stars: 5
Competitor IntelAFast-path competitor intelligence — produces a side-by-side SEO + AEO + GEO + AI visibility scorecard plus ranked counter-move plan. Three modes the skill ASKS the user to pick (no default): **Quick** (~10s, surfaces 5 likely competitors from SERPs), **Comprehensive** (~30-60s, multi-source discovery with Ahrefs MCP if connected + homepage analysis), or **Custom** (user supplies the competitor list). Use when the user asks to "analyze competitors", "compare with [competitor]", "competitor ana...datarustgoVotes: 0GitHub stars: 75
Ai VisibilityAFast-path AI visibility — get a brand's 0–100 Akii Visibility Score (computed by an open-source LLM judge against the brand's public footprint) with four-dimension breakdown AND a per-engine proxy map for ChatGPT, Claude, Gemini, Perplexity, Copilot, and Google AI Overviews based on FirstPageSage signal weights. Single-turn fast path. This is the default for any AI-visibility question. Use when the user asks for "AI visibility", "AI visibility score", "Akii score", "free AI visibility check",...datarustgoVotes: 0GitHub stars: 75
Power Bi VisualsAAdd, configure, bind data to, and bulk-manage visuals on Power BI PBIR report pages using pbi-cli. Invoke this skill whenever the user mentions "add a chart", "bar chart", "line chart", "card", "KPI", "gauge", "scatter", "table visual", "matrix", "slicer", "combo chart", "bind data", "visual type", "visual layout", "resize visuals", "bulk update visuals", "bulk delete", "visual calculations", or wants to place, move, bind, or remove any visual on a report page. Also invoke when the user asks ...datagobashVotes: 0GitHub stars: 461
Power Bi ReportAScaffold, validate, preview, and manage Power BI PBIR report projects using pbi-cli. Invoke this skill whenever the user mentions "create report", "new report", "PBIR", "scaffold", "validate report", "report structure", "preview report", "report info", "reload Desktop", "convert report", ".pbip project", "report project", or wants to understand the PBIR folder format, set up a new report from scratch, or work with the report as a whole. For specific tasks, see also: power-bi-visuals (charts, ...datagobashVotes: 0GitHub stars: 461