Skill library
Data analysis skills for AI agents.
Statistics, spreadsheets, exploratory analysis, funnels, cohorts and dashboards. 67 data analysis skills, ready to use in Murage.
Open source. macOS, Windows and Linux.
At a glance
- 67
- skills in this subject
- 66
- passed Skill Guard clean
- 31
- ready-made teams use them
- Covers
- statistics and modeling
- spreadsheets
- exploratory data analysis
- data engineering
The library's data analysis skills include A/B Test Design (Data analysis), A/B Testing Specialist and API Data Extraction. They cover statistics and modeling, spreadsheets, exploratory data analysis, and data engineering. 66 passed Skill Guard clean. The other 1 switch on only after you have read them and said yes. 31 ready-made teams use skills from this list, such as Customer Success Org and Sales Org. Skills are written instructions, not app connections: a bot reads the one a job calls for and works the way it lays out. Add any of them to a bot in Settings → Skills, or tell your Chief of Staff the job and let it choose.
- You askSay the job in plain words
- EmberEmberYour Chief of Staff takes it
- A bot with the skillA skillIt opens the skill when the job calls for it
- The resultThe finished job
- A/B Test Design (Data analysis)Designs an A/B test from scratch.CleanAdvanced
- A/B Testing SpecialistEnd-to-end guide for designing, running, and analyzing A/B tests including experiment design, statistical significance and sample size calculation.CleanIntermediate
- API Data ExtractionProduces an API data extraction design covering authentication approach, pagination strategy, rate limit handling and response parsing specification.CleanAdvanced
- BI Dashboard SpecificationProduces a BI dashboard specification for a named business function including dashboard purpose, audience, KPIs displayed, panel layout and refresh cadence.CleanIntermediate
- Business Reporting CadenceDesigns a business reporting cadence with weekly, monthly, and quarterly report structures including audience, content and format.CleanIntermediate
- Causal Inference PractitionerCausal inference expertise covering A/B testing limitations and extensions, instrumental variables and difference-in-differences estimation.CleanIntermediate
- Chart FormattingProduces a complete chart formatting specification including axis labels, tick mark spacing, gridline density, legend placement and annotation placement.CleanBeginner
- Chart Type SelectorDetermines the correct chart type for a specific data comparison by applying chart selection logic based on analytical intent (ranking, trend, distribution, composition, correlation, geographic).CleanIntermediate
- Cohort AnalysisApplies cohort analysis to a described dataset by defining the cohort grouping variable, time horizon and measured behavior.CleanIntermediate
- Cohort AnalystGuide for cohort-based analytics including retention analysis, customer lifetime value calculation, behavioral segmentation and funnel analysis.CleanIntermediate
- Color In DataApplies color to data visualizations by selecting sequential, diverging, or categorical palettes based on data type.CleanIntermediate
- Competitive IntelligenceProduces a competitive intelligence framework: defines the competitors to track, the intelligence dimensions (product, pricing, marketing and hiring).CleanIntermediate
- Conditional Formatting RulesProduces a conditional formatting rule set for a specific use case.CleanBeginner
- Correlation AnalysisProduces a correlation analysis between specified variables.CleanIntermediate
- CSV Data CleanerQuick techniques for cleaning CSV files - deduplication, normalization, encoding fixes and merging.CleanIntermediate
- Dashboard DesignProduces a complete dashboard layout specification.CleanIntermediate
- Dashboard DesignerGuide for designing effective analytical dashboards using Metabase, Grafana, and Looker including design principles, KPI selection and layout patterns.CleanIntermediate
- Data Catalog SetupProduces a data catalog structure with table documentation templates, column-level lineage format, and governance tagging taxonomy.CleanAdvanced
- Data Cleaning ProtocolGenerates a priority-ordered data cleaning protocol for a specific dataset.CleanIntermediate
- Data Pipeline MonitoringDesigns a data pipeline monitoring plan with health metrics (latency, error rate, row count variance), alert thresholds and on-call escalation path.CleanAdvanced
- Data ProfilingProduces a comprehensive data profile for a table or dataset including schema documentation, data type validation and uniqueness analysis.CleanIntermediate
- Data Quality RulesProduces a data quality rule set defining completeness, validity, consistency, accuracy, and uniqueness rules for each field in a dataset.CleanAdvanced
- Data Schema DesignProduces a relational or dimensional data schema with entities, attributes, data types, keys, relationships and normalization decisions with rationale.CleanAdvanced
- Data StorytellerGuide for translating data analysis into compelling narratives including insight framing, presentation design and audience adaptation.CleanIntermediate
- Data StorytellingStructures a data narrative that turns analytical findings into a compelling story.CleanIntermediate
- Data Validation SetupProduces a data validation rule set for a spreadsheet.CleanBeginner
- Data Visualization ArtistComprehensive guide to creating effective data visualizations with matplotlib, plotly, seaborn, and D3.js including chart selection frameworks.CleanIntermediate
- Data Warehouse DesignDesigns a data warehouse structure by selecting star or snowflake schema, defining fact tables and dimension tables and specifying grain for each fact table.CleanAdvanced
- Document-to-Table ChecklistTurns supplied PDFs, receipts and forms into a traceable table.Clean
- EDA FrameworkProduces a structured exploratory data analysis report covering row counts, column inventory, missing values, distributions, and frequency counts.CleanIntermediate
- ETL Pipeline DesignDesigns an ETL pipeline specification covering extract (source, frequency, authentication), transform (cleaning, joins and aggregations).CleanAdvanced
- Excel Lookup FormulasProduces working Excel/Sheets lookup formulas for specific use cases.CleanIntermediate
- Financial Model TemplateBuilds a spreadsheet financial model structure with input, calculation, and output sections.CleanAdvanced
- Forecast ModelBuilds a forecasting model structure by selecting the method (moving average, linear trend and seasonal decomposition) based on data characteristics.CleanIntermediate
- Funnel AnalysisProduces a funnel analysis with defined conversion stages, step-by-step conversion rates and biggest drop-off identification.CleanIntermediate
- Geospatial AnalystGeospatial analysis expertise covering GIS fundamentals, spatial data types and coordinate systems, spatial queries and joins.CleanIntermediate
- Google Sheets AdvancedProduces Google Sheets-specific advanced formula patterns including ARRAYFORMULA, IMPORTRANGE, QUERY function syntax and Apps Script trigger patterns.CleanAdvanced
- Hypothesis TestingWalks through hypothesis testing for a specific business question.CleanAdvanced
- Infographic PlanningPlans an infographic by defining the key message and selecting the information hierarchy.CleanIntermediate
- Jupyter Workflow MasterGuide for productive Jupyter notebook workflows including kernel management, reproducibility patterns, nbconvert pipelines and parameterized execution.CleanAdvanced
- KPI DefinitionProduces a complete KPI definition document with metric name, business question, formula, data source, owner, update frequency and baseline.CleanIntermediate
- KPI VisualizationDesigns the visualization layer for KPIs by selecting the display format (scorecard, gauge, sparkline, trend line) and specifying target lines.CleanIntermediate
- Cohort and RetentionFind out whether customers stick around. Build retention curves, pick the behavior that counts as retained and spot the early action that predicts it.Clean
- Funnel DiagnosisWork out where you are losing people in a funnel.Clean
- Marketing AttributionWork out which marketing channels deserve credit for sales. Use it before moving budget, and see why platform numbers disagree.Clean
- North Star and ExperimentsChoose the one metric your team steers by and break it into inputs you can move. Then set up A/B tests with a hypothesis, sample size and stopping rule.Clean
- Metric FrameworkDesigns a metric framework with a goal hierarchy mapping north star metric to primary metrics to diagnostic metrics.CleanIntermediate
- Outlier DetectionIdentifies outliers in a dataset using IQR and z-score methods and interprets what each outlier represents.CleanIntermediate
- Pandas Power UserAdvanced pandas techniques for data wrangling including performance optimization, method chaining patterns, MultiIndex operations and memory management.CleanAdvanced
- Pivot Table BuilderBuilds a pivot table specification from a described dataset.CleanIntermediate
- Python Data ScientistGuide for applied machine learning with scikit-learn covering feature engineering, model selection, pipeline construction and evaluation.CleanIntermediate
- Qualitative CodingProduces a qualitative coding scheme for interview transcripts or open-text survey responses.CleanIntermediate
- Regression GuideApplies regression analysis to a business question.CleanAdvanced
- Report FormattingProduces a data report structure with executive summary format, findings section template with chart-plus-interpretation pairs and methodology note.CleanBeginner
- Research SynthesisSynthesizes multiple sources into a structured research summary: source quality assessment, finding extraction and theme identification.Needs a lookIntermediate
- SaaS Metrics AnalystSaaS business metrics analysis covering MRR, ARR, churn rates, customer lifetime value, cohort analysis, unit economics, and dashboard design.CleanIntermediate
- Segmentation DesignDesigns a customer or user segmentation by selecting variables, defining the segmentation method (RFM, behavioral, demographic and needs-based).CleanIntermediate
- Sentiment Analysis GuideDesigns a sentiment analysis approach for text data by selecting the method (lexicon-based vs. model-based) and defining sentiment categories.CleanIntermediate
- Spreadsheet AutomationDesigns spreadsheet automation using built-in features including named ranges, drop-down validation lists and INDIRECT references for dynamic ranges.CleanAdvanced
- Spreadsheet Data CleaningProduces spreadsheet-native data cleaning formulas and operations.CleanIntermediate
- Spreadsheet Model AuditAudits a spreadsheet model for quality and reliability.CleanAdvanced
- SQL Analytics ExpertAdvanced SQL for analytics covering window functions, CTEs, recursive queries, query optimization and pivoting.CleanAdvanced
- Statistical AnalystApplied statistics guide covering hypothesis testing, regression analysis, ANOVA, confidence intervals and p-value interpretation.CleanIntermediate
- Streaming Data ArchitectureDesigns a streaming data architecture defining event schema, producer configuration, consumer processing logic and state management approach.CleanAdvanced
- Survey DesignProduces a complete survey with question set in recommended order, question type selection (Likert, multiple choice, open text and matrix) with rationale.CleanIntermediate
- Text Mining ProtocolProduces a text mining protocol: defines the corpus, selects the analysis type (frequency, collocation, topic modeling and named entity extraction).CleanIntermediate
- Time Series AnalystTime series analysis expertise covering decomposition methods, ARIMA and SARIMA modeling, Prophet for business forecasting and seasonality detection.CleanAdvanced
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