exploreomni/omni-agent-skills

12 agent skills in one repository, published by exploreomni. One command installs the lot; each skill also has its own page below.

1. omni-adminData & analysis

   Administer an Omni Analytics instance — manage connections, users, groups, user attributes, permissions, schedules, and schema refreshes via the Omni CLI. Use this skill whenever someone wants to manage users or groups, set up permissions on a dashboard or folder, configure user attributes, create or modify schedules, manage database connections, refresh a schema, set up access controls, provision users, or any variant of "add a user", "give access to", "set up permissions", "who has access", "configure connection", "refresh the schema", or "schedule a delivery".

2. omni-ai-evalAnalytics & experiments

   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".

3. omni-ai-optimizerData & analysis

   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".

4. omni-content-builderData & analysis

   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 or document, add tiles or charts, configure dashboard filters or controls, set up a KPI view, lay out or rearrange tiles and pages, edit a dashboard as a draft and publish it, change dashboard settings, rename/move/duplicate/delete a dashboard, modify dashboard-level model customizations like workbook-specific joins or fields, or build and edit an Omni app (custom HTML content in place of a dashboard) — including casual phrasings like "make a dashboard for…", "add a chart to…", or "clean up this dashboard's layout" that don't name the skill. Load it before any document API call, even when a local build script exists. For running a query or pulling metrics use omni-query; for adding a field to the shared model use omni-model-builder.

5. omni-content-explorerData & analysis

   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.

6. omni-embedData & analysis

   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".

7. omni-model-builderData & analysis

   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.

8. omni-model-explorerData & analysis

   Discover and inspect Omni Analytics models, topics, views, fields, dimensions, measures, and relationships using the Omni CLI. Use this skill whenever someone wants to understand what data is available in Omni, explore their semantic model, find specific fields or views, check how tables join together, see what topics exist, or asks any variant of "what can I query", "what fields are available", "show me the model", "what data do we have", or "how is this data modeled". Also use when you need to understand the Omni model structure before building or modifying anything.

9. omni-queryData & analysis

   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.

10. omni-to-databricks-metric-viewData & analysis

    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.

11. omni-to-dbt-metricflow

    Move logic that lives in Omni Analytics views (dimensions, measures, primary keys) and relationships into the dbt Semantic Layer as MetricFlow semantic_models, metrics, and saved_queries YAML, scoped by a field list, a view, or a topic, check it with dbt and mf, then make Omni fall back to the dbt definition by removing the Omni model-layer override once a dbt sync has brought it in. Use this skill whenever someone wants to push Omni measures or metrics down to dbt, hand Omni logic to the dbt Semantic Layer, generate semantic_models or metrics YAML from an Omni view, or make dbt the source of a metric that Omni currently defines.

12. omni-to-snowflake-semantic-viewData & analysis

    Convert an Omni Analytics topic into a Snowflake Semantic View YAML definition. Use this skill whenever someone wants to export Omni metrics to Snowflake, create a Semantic View from an Omni topic, harden BI metrics into the warehouse, or bridge Omni's semantic layer with Snowflake Cortex Analyst.