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Found 134 Skills
This skill should be used when the user asks to "create report", "dashboard", "chart", "visualization", "analytics", "scheduled report", "export data", or any ServiceNow reporting and dashboard development.
Generate D3.js visualizations including charts, graphs, and interactive data visualizations. Use when creating data visualizations with D3.js.
Forecast Generator - Auto-activating skill for Data Analytics. Triggers on: forecast generator, forecast generator Part of the Data Analytics skill category.
EDA toolkit. Analyze CSV/Excel/JSON/Parquet files, statistical summaries, distributions, correlations, outliers, missing data, visualizations, markdown reports, for data profiling and insights.
Create beautiful infographics based on the given text content. Use this when users request creating infographics.
Use when creating infographics, data visualizations, process diagrams, timelines, or comparisons - generates branded infographics using @antv/infographic with 114 templates across 7 categories. Triggers on "create infographic", "make infographic", "visualize data", "timeline", "process diagram".
Correlation Analyzer - Auto-activating skill for Data Analytics. Triggers on: correlation analyzer, correlation analyzer Part of the Data Analytics skill category.
Retention Calculator - Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category.
Regression Analysis Helper - Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category.
Exploratory Data Analysis (EDA): profiling, visualization, correlation analysis, and data quality checks. Use when understanding dataset structure, distributions, relationships, or preparing for feature engineering and modeling.
Generate self-contained HTML pages that visually explain systems, data stories, investigations, editorial workflows, and code changes. Use when the user asks for diagrams, architecture views, visual diffs, data tables, timelines, source maps, or any structured visualization that would be painful to read as terminal output. Also activates for tables with 4+ rows or 3+ columns. Adapted from nicobailon/visual-explainer with journalism, newsroom, and academic design sensibilities.
Use this for exploratory data analysis (EDA), generating visualizations, finding trends, and deriving insights from datasets using Python (Pandas/Seaborn/Plotly) or SQL.