devkindhq

Evidence.dev data source configuration — BigQuery, PostgreSQL, MySQL, DuckDB, Snowflake, CSV, SQLite, Motherduck, Databricks, Redshift, Trino, Google Sheets, JavaScript sources

Detect the technology stack of any website. Use when someone shares a URL, asks "what are they running", "what's their stack", or wants to audit a site or research a competitor. Runs WhatWeb scan and returns stack insights and analysis angles.

Evidence.dev chart components — LineChart, BarChart, AreaChart, ScatterPlot, BubbleChart, Histogram, FunnelChart, Heatmap, CalendarHeatmap, BoxPlot, Sparkline, SankeyDiagram and custom ECharts

Evidence.dev CLI commands, project setup, deployment configuration — dev server, build, rendering modes, environment variables, deployment platforms

Evidence.dev core concepts — SQL queries in markdown, templated pages, loops, if/else, formatting, query functions, exports, themes and the Svelte/Markdown hybrid syntax

Evidence.dev custom components and plugins — creating Svelte components, component queries, plugin development and publishing

Evidence.dev data display components — BigValue, DataTable, Delta, Value for showing metrics, tables and formatted values

Evidence.dev input components for filtering — Dropdown, TextInput, Checkbox, DateInput, DateRange, Slider, ButtonGroup, DimensionGrid with query integration patterns

Write, debug, and explain ShopifyQL queries and Shopify Segment Query Language expressions. Use this skill whenever the user wants to query Shopify analytics data, build customer segments, write ShopifyQL for reports, explore sales/orders/products data via the Shopify Admin API, debug a ShopifyQL error, understand available tables/dimensions/metrics, or translate a business question into a Shopify query. Also triggers for: "ShopifyQL", "Shopify analytics query", "customer segment filter", "Shopify segment", "SHOW FROM sales", "GROUP BY in Shopify", "Shopify report query", or any mention of ShopifyQL tables like `sales`, `sessions`, `orders`.