Norman
Community@noiz354 · Jakarta
Norman's registry provides 11 skills for administering, modeling, querying, embedding, and exporting Omni Analytics semantic-layer BI content via the Omni CLI.
Agent Skills by Norman
Showing 11 vetted skills indexed across 1 GitHub repositories.
noiz354omni-admin
Administer Omni Analytics connections, users, groups, permissions, and schedules via the Omni CLI.
noiz354omni-content-builder
Create and manage Omni Analytics documents and dashboards programmatically via the Omni CLI.
noiz354omni-model-builder
Create and edit Omni Analytics semantic model YAML definitions through the Omni CLI.
noiz354omni-ai-eval
Runs judged accuracy evals of Omni AI prompt sets against models or branches via the Omni CLI.
noiz354omni-embed
Embed Omni Analytics dashboards in external applications using signed iframe URLs and the @omni-co/embed SDK.
noiz354omni-content-explorer
Find, browse, and organize Omni Analytics dashboards, workbooks, folders, and labels via the Omni CLI.
noiz354omni-model-explorer
Inspect Omni Analytics models, topics, views, fields, and relationships using the Omni CLI.
noiz354omni-query
Run and validate queries against Omni Analytics' semantic layer via the Omni CLI.
noiz354omni-ai-optimizer
Configures Omni semantic model AI context, fields, synonyms, and sample queries for Blobby.
noiz354omni-to-databricks-metric-view
Convert Omni Analytics topics into Databricks Metric View definitions in Unity Catalog.
noiz354omni-to-snowflake-semantic-view
Convert Omni Analytics topics into Snowflake Semantic View YAML definitions.
Frequently Asked Questions About Norman
FAQPage SchemaWhat tasks can I perform using Norman's Omni Analytics skills?▼
You can administer users, groups, permissions, connections, and schedules; build dashboards and workbooks; define semantic models in YAML; run queries with table calculations; embed dashboards with signed URLs; evaluate and optimize Omni AI (Blobby); and export topics to Databricks Metric Views or Snowflake Semantic Views.
Who are these Omni skills designed for?▼
They target BI developers, analytics engineers, and data platform administrators working with Omni Analytics. Typical users include semantic modelers defining dimensions and measures, dashboard builders, admins managing access controls, and engineers embedding analytics or bridging Omni metrics into Databricks or Snowflake.
How do the Omni skills run in practice?▼
Nearly all skills operate through the Omni CLI against an Omni Analytics instance, while embedding uses the @omni-co/embed SDK. Model definitions are authored as YAML on branches and promoted; evals run judged prompt sets against models or branches; exports generate Databricks or Snowflake definition files.
What are the prerequisites for using these skills?▼
You need access to an Omni Analytics instance and the Omni CLI installed and authenticated. Embedding additionally requires the @omni-co/embed SDK, and the export skills require a Databricks Unity Catalog or Snowflake environment to receive the generated Metric View or Semantic View definitions.
Can these skills improve Omni AI (Blobby) accuracy?▼
Yes. The omni-ai-optimizer skill configures ai_context, ai_fields, synonyms, and sample_queries, while omni-ai-eval runs judged evals to benchmark accuracy, compare branches, and regression-test model or context changes before promoting them.