Chainguard Skills

Evaluate Omni AI accuracy using Omni's built-in eval system — define a prompt set, run a judged eval against a model (or branch), and read the accuracy-judge verdicts. Use this skill whenever someone wants to evaluate Omni AI, benchmark Blobby, run regression tests, compare AI output across branches or model-context changes, measure AI quality, run A/B tests on model changes, assess the impact of an ai_context or modeling change, or any variant of "run evals", "test Blobby", "benchmark query generation", "compare AI results", "regression test", "how accurate is the AI", or "measure the impact of my changes".

Optimize your Omni Analytics model for Blobby, the Omni Agent — configure ai_context, ai_fields, synonyms, sample_queries, and AI-specific topic extensions. Use this skill whenever someone wants to improve AI accuracy in Omni, make Blobby smarter, add AI context or example questions, curate which fields the AI sees, personalize AI context by user attribute, scope context to a model tier or agent, diagnose context-window pruning or truncation, control which topics AI can reach, troubleshoot why Blobby gives wrong answers, or any variant of "make the AI better", "Blobby isn't answering correctly", "optimize for AI", or "teach the AI about our data".

Create, update, and manage Omni Analytics documents and dashboards programmatically — document lifecycle, drafts, tiles, visualizations, filters, controls, and layouts — using the Omni CLI. Use this skill whenever someone wants to build a dashboard, create a workbook, add tiles or charts, configure dashboard filters or controls, update an existing dashboard's model, set up a KPI view, create visualizations, lay out a dashboard, arrange tiles or pages, create a document, edit a dashboard as a draft, publish a draft, change dashboard settings, rename a workbook, delete a dashboard, move a document to a folder, duplicate a dashboard, or any variant of "build a dashboard for", "create a report showing", "add a chart to", "make a dashboard", "update the dashboard layout", "rename this document", "publish this draft", "move to folder", or "delete this dashboard". Also use when modifying dashboard-level model customizations like workbook-specific joins or fields.

Find, browse, and organize content in Omni Analytics — dashboards, workbooks, folders, and labels — using the Omni CLI. Use this skill whenever someone wants to find an existing dashboard, search for content, list workbooks, browse folders, see what dashboards exist, find popular reports, download a dashboard as PDF or PNG, set an alert on a dashboard tile, favorite content, manage labels on documents, or any variant of "find the dashboard about", "what reports do we have", "show me our dashboards", "where is the sales report", "download this dashboard", or "alert me when this changes". This skill locates and organizes content; to inspect what a dashboard tile actually queries — its fields, filters, and sorts — use omni-query.

Embed Omni Analytics dashboards in external applications — URL signing, custom themes, iframe events, entity workspaces, and permission-aware content — using the @omni-co/embed SDK and Omni CLI. Use this skill whenever someone wants to embed a dashboard, sign an embed URL, customize the embedded theme, handle embed events, listen for clicks or drills in the iframe, send filters to an embedded dashboard, set up entity workspaces, look up embed users, build a permission-aware content list, white-label an embedded dashboard, or any variant of "embed this dashboard", "customize the iframe theme", "handle click events from the embed", "filter the embedded dashboard", "set up embedding", or "what dashboards can this user see".

Create and edit Omni Analytics semantic model definitions — views, topics, dimensions, measures, relationships, query views, composite topics, and aggregate tables (materialized_query) — using YAML through the Omni CLI. Use this skill whenever someone wants to add a field, create a new dimension or measure, define a topic, set up joins between tables, modify the data model, build a new view, add a calculated field, create a relationship, edit YAML, work on a branch, promote model changes, or any variant of "model this data", "add this metric", "create a view for", or "set up a join between". Also use for migrating modeling patterns since Omni's YAML is conceptually similar to other semantic layer definitions.

Run queries against Omni Analytics' semantic layer using the Omni CLI, interpret results, and chain queries for multi-step analysis. Use this skill whenever someone wants to query data through Omni, run a report, get metrics, pull numbers, analyze data, ask "how many" / "what's the trend" / "show me the data", retrieve dashboard query results, extract data from an existing dashboard, or inspect the query definition behind a tile. Also use for table calculations and computed columns (running totals, percent-of-total, month-over-month / period-over-period change, moving averages, rankings), open-ended multi-step analysis via agentic AI jobs, and running raw SQL through the semantic layer — even when the user doesn't say "query" (e.g. "add a running total column", "what's our MoM growth", "analyze revenue trends"). For building or editing a dashboard or chart use omni-content-builder; for adding a field or measure to the model use omni-model-builder — this skill retrieves and computes over data.

Convert an Omni Analytics topic into a Databricks Metric View definition in Unity Catalog. Use this skill whenever someone wants to export Omni metrics to Databricks, create a Metric View from an Omni topic, harden BI metrics into Unity Catalog, or bridge Omni's semantic layer with Databricks AI/BI dashboards and Genie spaces.