Anthropic Skills

This skill should be used when the user asks to "create a BPA rule", "write a Best Practice Analyzer rule", "improve a BPA expression", "fix expression for BPA", "analyze BPA annotations", "check model for best practices", "audit BPA rules", "discover BPA rules", "list all BPA rules", "validate BPA rules", "recommend BPA rules for my model", "help me choose BPA rules", "what BPA rules should I use", "set up BPA for my team", "BPA rules for my organization", or mentions Tabular Editor BPA rules.

Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability analysis.

Deep planning via Oracle CLI (GPT-5.2 Codex). Use for complex tasks requiring extended thinking (10-60 minutes). Outputs plan.md for planner to transform into specs.

Analyze skill effectiveness through usage feedback, metrics analysis, and outcome assessment. Task-based operations for feedback collection, effectiveness measurement, trend analysis, and insight extraction. Use when analyzing skill effectiveness, measuring ROI, understanding usage patterns, or evaluating toolkit impact based on real usage data.

This skill should be used when the user asks about ".tmuo files", "Tabular Editor user options", "TE3 preferences", "Preferences.json", "UiPreferences.json", "Layouts.json", "workspace database settings", "deployment preferences", "data source overrides", "keyboard shortcuts", "DAX editor settings", "TMDL options", or "per-model TE3 configuration". Provides guidance for understanding and configuring Tabular Editor 3 configuration files including application preferences and model-level user optio

This skill should be used when the user asks about "Tabular Editor documentation", "TE docs", "how to do X in Tabular Editor", "Tabular Editor features", "TE3 features", "C# scripts in Tabular Editor", "DAX scripts", "workspace mode", or needs to search Tabular Editor documentation. Provides efficient local search of TabularEditorDocs repository instead of unreliable web fetching.

Comprehensive data visualization toolkit for creating beautiful, mathematically elegant visualizations with D3.js, Chart.js, and custom SVG. Use when (1) building interactive data visualizations, (2) designing color palettes for charts, (3) choosing scales and visual encodings, (4) creating data pipelines from Census/SEC/Wikipedia APIs, (5) crafting narrative-driven data stories, (6) making perceptually accurate charts, or (7) implementing force-directed networks, timelines, or geographic maps.

Aggregate weekly summaries into a monthly overview. Use when asked to "monthly review", "review the month", "summarize this month", or "month summary".

Create beautiful data visualizations with mathematical elegance, color theory, and narrative design - the "Data is Beautiful" aesthetic.

Use this skill when you need to create, manipulate, or analyze spreadsheets (.xlsx), work with formulas and charts, or perform data transformations.

Compact Plotly visualization patterns. Express for quick plots, Graph Objects for control.

Data visualization with OpenAlgo - candlestick charts, options payoff diagrams, P&L dashboards, and real-time Streamlit dashboards

Comprehensive data quality patterns using Great Expectations, DLT expectations, and custom validators for ensuring data reliability and trust.

Generate compliance reports from OSCAL assessment results, SSPs, and POA&Ms in various formats. Use this skill to create audit-ready documentation, executive summaries, and detailed compliance status reports.

Component skill for systematic data profiling and exploration in DataPeeker analysis sessions

Rigorous hypothesis testing process for data analysis - formulate hypotheses before looking at data, design tests, analyze systematically, interpret with skepticism

SQL for data analysis with exploratory analysis, advanced aggregations, statistical functions, outlier detection, and business insights. 50+ real-world analytics queries.

Master interactive dashboard and application development with Panel and Param. Use this skill when building custom web applications with Python, creating reactive component-based UIs, handling file uploads and real-time data streaming, implementing multi-page applications, or developing enterprise dashboards with templates and theming.

Generate production-ready Jupyter notebooks showcasing Nixtla forecasting workflows for statsforecast, mlforecast, and TimeGPT. Use when creating demos, building examples, or showcasing forecasting capabilities. Trigger with 'generate demo notebook', 'create Jupyter demo', or 'build forecasting example'.

Analyze causal impact of events on time series forecasts using TimeGPT. Use when quantifying promotion or disaster effects. Trigger with 'event impact analysis' or 'causal analysis'.

Transform data sources to Nixtla schema (unique_id, ds, y) with column inference. Use when preparing data for forecasting. Trigger with 'map to Nixtla schema' or 'transform data'.

Excel spreadsheet import and export for schedules, coverage matrices, and compliance reports. Use when importing schedule data from Excel or generating Excel files for faculty/admin.

Generate production-ready forecasting experiments with StatsForecast and TimeGPT. Use when setting up model benchmarking or cross-validation. Trigger with 'scaffold experiment' or 'compare models'.

Research and summarize Nixtla ecosystem updates and time-series forecasting content from the web and GitHub. Use when gathering release notes, recent changes, or best-practice references. Trigger with \"Nixtla updates\", \"what's new with TimeGPT\", or \"find time-series papers\".

Analyze Nixtla baseline forecasting results (sMAPE/MASE on M4 or other

Complete guide to ActiveRecord query optimization, associations, scopes, and PostgreSQL-specific patterns. Use this skill when writing database queries, designing model associations, creating migrations, optimizing query performance, or debugging N+1 queries and grouping errors.

Use when user asks about N+1 queries, performance optimization, query optimization, reduce API calls, improve render performance, fix slow code, optimize database, or reduce bundle size. Provides guidance on identifying and fixing performance anti-patterns across database, backend, frontend, and API layers.

Audits Nixtla library usage and recommends cost-effective routing strategies. Scans TimeGPT, StatsForecast, and MLForecast patterns, identifies cost optimization opportunities, generates comprehensive usage reports, and suggests smart routing between models. Activates when user needs cost optimization, API usage audit, routing strategy design, or Nixtla cost reduction.

Provides expert Nixtla forecasting using TimeGPT, StatsForecast, and MLForecast. Generates time series forecasts, analyzes trends, compares models, performs cross-validation, and recommends best practices. Activates when user needs forecasting, time series analysis, sales prediction, demand planning, revenue forecasting, or M4 benchmarking.

Database design, SQL queries, migrations, and optimization. Activate for PostgreSQL, MySQL, SQLite, schema design, queries, indexes, and data modeling.

Statistical tests for time series stationarity (ADF, KPSS, PP tests)

Comprehensive data profiling and quality assessment using Teradata ClearScape Analytics descriptive statistics functions

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Perform comprehensive exploratory data analysis on research data. Automatically analyze data structure, quality, distributions, and generate insights. Use when the user provides a dataset, asks to "explore data", "analyze this file", or needs to understand their data before formal analysis.

Reviews SQL queries and DataFrame operations for optimization opportunities including predicate pushdown, partition pruning, column projection, and join ordering. Activates when users write DataFusion queries or experience slow query performance.

Information gathering utilities (analytics, research, content analysis) (general)

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Pattern detection and automatic skill recommendation system. Activates when analyzing Cortex memory files, detecting recurring work patterns, or determining if new skills are needed. Analyzes .cortex_log.md, PRD files, and task lists to identify patterns (API calls, testing, deployment, etc.) appearing 5+ times. Generates Synapse_RECOMMENDATIONS.md with prioritized skill suggestions. Use when optimizing workflows or identifying automation opportunities.