Build or modify an in-package HTML data app for a Malloy Publisher package (a public/ directory the package serves). Use when the user wants a hand-authored HTML dashboard or web page backed by a package's Malloy models, with no build step.
Common data analysis pitfalls to watch for during query construction and result interpretation. Reference this checklist when verifying queries and results to catch errors before presenting an answer.
Combine validated Malloy queries into a notebook report or dashboard. Use when the user asks to "create a report", "build a dashboard", "combine these into a report", or wants a persistent multi-query artifact.
Workflow for answering data questions against Malloy semantic models over MCP - structured discovery with get_context, query construction with execute_query, verification, and answer delivery. Use whenever the user asks a data question, wants a metric, a breakdown, a trend, or a chart over a model.
Explore data for insights and build views/dashboards/notebooks. Use when user asks to "analyze this data", "find insights", "explore for patterns", "what's interesting", "what's driving X", "build a dashboard", "create views", or any analysis task. For EDA exploration, start at Step 1. For building views on an existing model, jump to View Patterns.
Chart selection guidance and renderer reference for Malloy views. Use when choosing visualization types, adding chart annotations, user asks "what chart should I use", "how should I visualize this", or when deciding between bar_chart, line_chart, scatter_chart, etc.
Fix Malloy compile errors and understand error messages. Use when encountering errors in .malloy files, user says "fix this error", "malloy error", "compile error", "syntax error", or sees 20+ cascading errors.
Propose a source plan and field definitions for a Malloy semantic model. Covers picking which sources to model and at what grain, then proposing the specific renames, dimensions, and measures per source, every proposal backed by querying the data.