SHAP-based model explainability skill for feature attribution, summary plots, and interaction analysis.
Generate module dependency graphs with circular dependency detection and coupling metrics
Log, metric, and trace analysis methodology. Use when analyzing logs, investigating errors, querying metrics, or correlating signals across observability backends (Coralogix, Datadog, CloudWatch).
Honeycomb observability analysis. Use when querying Honeycomb datasets, traces, or metrics. Provides scripts and query syntax reference for high-cardinality exploration.
Splunk log analysis using SPL (Search Processing Language). Use when investigating issues via Splunk logs, saved searches, or alerts.
Datadog log and metrics analysis. Use when querying Datadog logs, metrics, or APM data. Provides scripts and query syntax reference.
Coralogix log analysis with DataPrime query language. Use when querying Coralogix logs, metrics, or traces. Provides syntax reference and intelligent investigation scripts.
Summarize a CSV, compute basic stats, and produce a markdown report + a plot image.
Create HTML dashboards with KPI metric cards, bar/pie/line charts, progress indicators, and data visualizations. Use when users request dashboards, metrics displays, KPI visualizations, data charts, or monitoring interfaces.
Create HTML flowcharts and process diagrams with decision trees, color-coded stages, arrows, and swimlanes. Use when users request flowcharts, process diagrams, workflow visualizations, or decision trees.
Generate stakeholder analysis matrices and visualizations including Power-Interest grids and RACI matrices
Automated TAM/SAM/SOM calculations with methodology documentation
Statistical and non-statistical audit sampling skill with sample size determination and evaluation
Cross-platform social media operations and analytics
Generate stakeholder analysis matrices and engagement visualizations
Tableau dashboard and visualization integration for sales analytics
Real-time demand signal integration from POS, channel data, and external signals for short-term forecast enhancement
Comprehensive supply chain risk identification and assessment skill with heat mapping
Generates K-1 schedules for partner distributions with tax allocations
Generates portfolio dashboards with visualizations, trends
Maps co-investor relationships, syndication history, and network connections
Calculates distribution waterfalls per LPA terms, carry, clawback
Analyze randomized algorithms with probability theory tools and concentration inequalities
Symbolic computation using SymPy for Python-based mathematical analysis
Write measurable, SMART learning objectives using Bloom's Taxonomy cognitive levels aligned with desired outcomes and assessment strategies
Collect, calculate, and report healthcare quality metrics including core measures, HEDIS, patient safety indicators, and value-based purchasing measures
Apply propensity score methods, instrumental variables, difference-in-differences, and regression discontinuity designs for causal identification
Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python
Conduct systematic qualitative data analysis using grounded theory, thematic analysis, and content analysis with NVivo or Atlas.ti
Deep integration with product analytics platforms for metrics, funnels, retention, and experimentation. Query Amplitude/Mixpanel/Heap data, generate retention curves, calculate conversion metrics, and build dashboard configurations.