chart▌

Intelligently selects from 26 chart types and generates visualization images from structured data. \n \n Covers 26 chart types across time series, comparisons, hierarchies, maps, relationships, and specialized visualizations (radar, funnel, sankey, network graphs, and more) \n Requires Node.js 18.0.0 or higher; generates charts by invoking a JavaScript script with JSON payload containing data, title, theme, and style parameters \n Workflow: analyze user data to select appropriate chart type, ext

I help you design effective data visualizations by recommending the right chart types, generating configurations for popular charting libraries, and applying data visualization best practices.

Generate clean, minimal charts with shadcn-inspired grayscale styling using QuickChart.io (no dependencies needed).

Create an interactive Plotly chart for a technical indicator on a symbol.

$22

This skill enables specialized analysis of two complementary market breadth charts that provide strategic (medium to long-term) and tactical (short-term) market perspectives. Analyze breadth chart images to assess market health, identify trading signals based on backtested strategies, and develop positioning recommendations. All thinking and output are conducted exclusively in English.

This skill provides a comprehensive workflow for transforming data into visual charts. It handles chart selection, parameter extraction, and image generation.

Comprehensive Helm chart creation, templating, and packaging guidance for Kubernetes applications. \n \n Covers full chart lifecycle: initialization, Chart.yaml configuration, values.yaml design, template creation with Go templating, and dependency management \n Includes multi-environment deployment patterns with environment-specific values files (dev, staging, prod) and conditional resource rendering \n Provides validation, testing, and packaging workflows with linting, dry-run testing, and cha