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Found 257 Skills
Regression Analysis Helper - Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category.
An automated data exploration and visualization tool that provides a complete EDA solution from data loading to professional report generation. It supports multiple chart types, intelligent data diagnosis, modeling evaluation, and HTML report generation. Suitable for data analysis projects in fields such as healthcare, finance, e-commerce, etc.
Umbrella router for Graphistry workflows across SDK and API surfaces. Use to dispatch between Python SDK, REST API, and (future) JavaScript SDK workflows.
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY for business intelligence or strategic analysis.
Create beautiful infographics with pre-designed templates. Best for KPI cards, timelines, roadmaps, step-by-step processes, A vs B comparisons, SWOT analysis, funnels, org trees, pie/bar charts. Use when you need quick visual impact with 4-8 items. Simple YAML-like syntax. NOT for complex data analysis (use vega) or technical flowcharts (use mermaid).
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
Visualize relationships between two variables. Use for correlation analysis and pattern identification.
Interactive web-based charts for data analysis and business intelligence. Project-based output in output/chart-html/<project>/ with HTML + script + data + screenshot.
Creates observability dashboards and graphs from logs, traces, errors, sessions, metrics, and events data by previewing charts inline and saving them to a dashboard.
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
基于给定文字内容创建精美信息图。当用户请求创建信息图时使用。
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.