claude

omni-analytics

Explore, query, model, embed, and manage Omni Analytics through the REST API and embed SDK. Includes 9 skills, 3 specialized agents, and 4 context rules for model exploration, querying, model building, content browsing, content building, embedding, AI optimization, AI eval, and administration.

45 on GitHubby Omni Analyticsv1.26.4Apache-2.0updated yesterdaydata
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Plugin omni-analytics from marketplace omni-analytics in exploreomni/omni-agent-skills. Commands read from the repo's manifest — yesterday.

What it installs

Skills (9)

  • omni-admin

    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 o

  • omni-ai-eval

    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

  • omni-ai-optimizer

    Optimize an Omni Analytics model for Blobby, the Omni Agent — configure ai_context, ai_fields, synonyms, sample_queries, and ai_settings. 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, p

  • omni-content-builder

    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

  • omni-content-explorer

    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

  • omni-embed

    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 the

  • omni-model-builder

    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

  • omni-model-explorer

    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 togeth

  • omni-query

    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

Subagents (3)

  • omni-admin-agent

    Omni Analytics instance administrator — manages users, groups, permissions, schedules, connections, and access controls. Use when the user wants to provision users, set up permissions, configure schedules, manage connections, or handle any instance administration tasks.

  • omni-analyst

    Omni Analytics data analyst — explores models, runs queries, and delivers insights. Use when the user wants to analyze data, run reports, find trends, or answer business questions using their Omni instance.

  • omni-modeler

    Omni Analytics data modeler — builds and refines the semantic model, writes YAML, and optimizes for Blobby AI. Use when the user wants to add fields, create views, set up joins, define topics, improve AI context, or migrate from dbt patterns.

View source on GitHub

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