Anthropic Skills

|

Process mining skill for event log analysis, process discovery, and conformance checking.

Decision tree analysis skill with expected value, risk analysis, and utility theory.

Operational dashboard generation skill for KPI visualization and real-time monitoring.

Statistical process control chart creation and analysis skill with control limit calculation and special cause detection.

Design of Experiments planning and analysis skill for factorial and response surface experiments.

Measurement System Analysis skill for Gage R&R studies with variance component analysis.

Simulation experimental design skill for efficient scenario analysis and optimization.

Benchmarking analysis skill for performance comparison and best practice identification.

Statistical distribution fitting skill for input modeling in simulation and analysis.

Pareto analysis skill for identifying vital few causes and prioritizing improvement efforts.

Aggregate and analyze customer feedback from multiple sources for product insights

Expert skill for Prometheus metrics and Grafana dashboards. Write and validate PromQL queries, generate Grafana dashboard JSON, create alerting and recording rules, analyze metric cardinality, and debug scrape configurations.

Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.

Statistical process control chart creation and analysis skill with control limit calculation and special cause detection

Capabilities for computing aggregate statistics on ServiceNow tables.

This skill generates interactive Venn diagram visualizations using the venn.js JavaScript library. Use this skill when users request creating Venn diagrams, set visualizations, overlap diagrams, or comparison charts for educational textbooks. The skill creates complete MicroSim packages with standalone HTML files featuring colorful circles, clear labels, and interactive tooltips, saved to /docs/sims/ following the MicroSim pattern.

Recognize breakthrough moments, blocking resolutions, and design decisions worth preserving. Detect high-value insights that save future time. Suggest distillation at valuable moments, not routine work.

Coaches users to transform messy data into clean, analysis-ready formats using Power Query UI. Diagnoses data problems, visualizes goals, and guides step-by-step transformations.

Analyze unknown or inherited Excel files to understand what they do, document their purpose, audit formulas for errors, and assess maintainability risk. Use when: (1) User uploads an Excel file asking 'what does this do?', (2) User needs to understand an inherited/legacy spreadsheet, (3) User wants formula auditing or error detection, (4) User asks about spreadsheet risk, complexity, or documentation, (5) User mentions 'inherited', 'legacy', 'undocumented', or 'someone left' regarding Excel file

Use when ready to document findings, generate a report, or summarize binary analysis results. Compiles analysis findings into structured reports - correlates facts from triage/static/dynamic phases, validates hypotheses, generates documentation with evidence chains. Keywords - "summarize findings", "generate report", "document analysis", "what did we find", "write up results", "export findings

Analyzes feedback logs to identify patterns and suggest improvements to review skills. Use when you have accumulated feedback data and want to improve review accuracy.

Reviews LangGraph code for bugs, anti-patterns, and improvements. Use when reviewing code that uses StateGraph, nodes, edges, checkpointing, or other LangGraph features. Catches common mistakes in state management, graph structure, and async patterns.

KPI framework setup, dashboard design, cohort analysis, and data-driven decision making. Use when analyzing growth metrics, building KPI dashboards, or implementing analytics systems.

This skill generates interactive mathematical function plots using Plotly.js for iframe embedding in intelligent textbooks. Creates visualizations with hover tooltips, interactive sliders to move points along curves, responsive design optimized for narrow layouts, and comprehensive educational documentation. Use this when users request plotting mathematical functions, graphing equations, visualizing f(x), or creating interactive function explorers for calculus, precalculus, physics, or engineeri

This skill analyzes diagram, chart, or simulation specifications and returns a ranked list of the most suitable MicroSim generator skills to use. It compares the specification against capabilities of all available microsim generators (p5.js, ChartJS, Plotly, Mermaid, vis-network, timeline, map, Venn, bubble) and provides match scores (0-100) with detailed reasoning for each recommendation. Use this skill when a user has a diagram specification and needs guidance on which MicroSim generator skill

This skill generates interactive timeline visualizations using the vis-timeline JavaScript library. Use this skill when users need to create historical timelines, project timelines, event sequences, or any chronological data visualization with optional category filtering. The skill creates a complete MicroSim package with HTML, CSS, JSON data, and documentation.

This skill installs an interactive learning graph viewer application into an intelligent textbook project. Use this skill when working with a textbook that has a learning-graph.json file and needs a visual, interactive graph exploration tool with search, filtering, and statistics capabilities.

Use to detect and remove cognitive biases from reasoning. Invoke when prediction feels emotional, stuck at 50/50, or when you want to validate forecasting process. Use when user mentions scout mindset, soldier mindset, bias check, reversal test, scope sensitivity, or cognitive distortions.

Use when creating custom, interactive data visualizations with D3.js—building bar/line/scatter charts from scratch, creating network diagrams or geographic maps, binding changing data to visual elements, adding zoom/pan/brush interactions, animating chart transitions, or when chart libraries (Highcharts, Chart.js) don't support your specific visualization design and you need low-level control over data-driven DOM manipulation, scales, shapes, and layouts.

Analyzes CSV files and generates comprehensive summary statistics and visualizations using Python and pandas - automatically and immediately without asking what the user wants.

Use when you need to choose the right visualization for your data and question, then create a narrated report that highlights insights and recommends actions. Invoke when analyzing data for patterns (trends, comparisons, distributions, relationships, compositions), building dashboards or reports, presenting metrics to stakeholders, monitoring KPIs, exploring datasets for insights, communicating findings from analysis, or when user mentions "visualize this", "what chart should I use", "create a d

This skill generates comprehensive diagram and MicroSim reports for the geometry course by analyzing chapter markdown files and creating table and detail reports. Use this skill when working with an intelligent textbook (specifically geometry-course) that needs updated visualization of all diagrams and MicroSims across chapters, including their status, difficulty, Bloom's Taxonomy levels, and UI complexity.

This skill generates comprehensive metrics reports for intelligent textbooks built with MkDocs Material, analyzing chapters, concepts, glossary terms, FAQs, quiz questions, diagrams, equations, MicroSims, word counts, and links. Use this skill when working with an intelligent textbook project that needs quantitative analysis of its content, typically after significant content development or for project status reporting. The skill creates two markdown files - book-metrics.md with overall statisti

Map workflows, extract SOPs, and identify automation opportunities through systematic process capture and AI tractability assessment. Use when documenting workflows, creating SOPs, conducting process discovery interviews, or analyzing automation opportunities. Grounds the SOP-first doctrine in tacit knowledge documentation and structured analysis.

Use when evaluating business model viability, analyzing profitability per customer/product/transaction, validating startup metrics (CAC, LTV, payback period), making pricing decisions, assessing scalability, comparing business models, or when user mentions unit economics, CAC/LTV ratio, contribution margin, customer profitability, break-even analysis, or needs to determine if a business can be profitable at scale.

Apache Superset dashboard automation for Finance SSC, BIR compliance, and operational analytics. Auto-generate dashboards, datasets, and charts. Tableau/Power BI alternative saving $8,400/year in licenses.

Supabase-style connection UI for managing InsightPulse AI infrastructure (Supabase, Odoo, Superset, MCP servers, PostgreSQL, APIs). Self-hosted connection manager module for Odoo 19 that provides unified connection management, auto-generated configurations, connection testing, and beautiful Kanban interface.

Expert guidance for designing effective Apache Superset dashboards with professional layouts, intuitive navigation, and optimized user experience. This skill helps you create dashboards that tell clear data stories - with specific templates for Finance SSC, BIR compliance, and operational monitoring.

Master user interviews, usability testing, surveys, and research synthesis. Use when planning research, gathering user insights, or validating assumptions.