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publisher
publisher contém 28 skills coletadas de malloydata, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
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.
Silent data discovery for Malloy modeling. Used at Step 1 of the modeling workflow. Scans tables, columns, distributions, and relationships without user interaction. The agent builds an internal picture before presenting anything.
First steps for using a Malloy Publisher deployment through its MCP tools. Use when connecting to Publisher for the first time, when you do not yet know the available environments, packages, or models, or when a user asks what data they can explore. Covers verifying the server, discovering data with malloy_getContext, and running a first grounded query.
Common Malloy modeling mistakes and how to avoid them. Read BEFORE writing source definitions, dimensions, measures, or joins. Covers reserved words, NULL checks, date functions, type casts, field management (extend except/accept/rename vs include public/internal/private), and query-based source gotchas.
Common Malloy query and view mistakes. Read BEFORE writing views, queries, or notebooks. Covers chart constraints, aggregate filters, joined field aliasing, method syntax, and time truncation vs extraction.
Common Malloy renderer annotation mistakes. Read BEFORE adding chart annotations, formatting tags, or building dashboards. Covers tag syntax, scale rules, sparkline setup, and big_value patterns.
Embed an in-package HTML data app into a host page or another application, including auto-sizing and auth. Read when embedding a Publisher page via Publisher.embed.
Write the JavaScript that drives an in-package HTML data app, calling Publisher.query, building queries from filter state, and handling results and errors. Read before writing the page's data code.
Analyze LookML files as prior art for Malloy modeling. Used during Step 1 (DISCOVER) when .lkml files are present. Coordinates reference files that extract business logic, relationships, and curation decisions. Works with or without a database connection.
Build Malloy semantic models with base source and joined source files. Use when creating or modifying .malloy files, user asks to "create a malloy model", "add dimensions", "add measures", "create a source", or any Malloy model authoring task.
Build semantic models with Malloy for the Malloy Publisher. Read this skill whenever the user asks about modeling data or specifically mentions Malloy.
Steps to follow when the chat is bound to a notebook or saved report. The notebook's cells are the agent's primary context, answer from it, run its queries, and only reach for get_context when the user asks about something outside it.
Create Malloy notebooks (.malloynb) for interactive dashboards and data stories. Use when user asks to "create a notebook", "make a dashboard notebook", "write a malloynb", "data story", or needs to build reports/visualizations.
Index of Malloy documentation topics. Use to discover what's available in search_malloy_docs. Covers language reference (sources, queries, views, fields, aggregates, joins, filters, expressions, functions), common patterns (YoY, cohorts, percent of total), rendering, and experimental features.
How to construct search targets for the get_context tool. Covers target-type classification and non-obvious decomposition patterns. Read the tool description for field definitions and the end-to-end workflow.
Package Malloy models for serving by Malloy Publisher. Use when user asks to "publish", "package", "deploy", or wants to share models with others.
Malloy query patterns, syntax rules, and chart annotation reference. Consult before writing or debugging any query. Covers dates, aggregates vs dimensions, join paths, filters, string matching, and common error patterns.
Malloy semantic-model code review. Invoke when the user asks to review, audit, or critique a `.malloy` file, a folder of Malloy models, or a GitHub PR that touches Malloy. Enforces project modeling standards and emits a navigable review file.
Present discovery findings and propose an analytical scope before modeling. Use after inspecting a package's model and data, to classify tables and recommend an analytical focus the user can pick from.
Index of all Malloy skills. Use when user asks "malloy help", "what malloy skills are available", "how do I use malloy", or needs guidance on which Malloy skill to use.
Add documentation with