nimble-databricks-data-products
Builds Databricks data products from live web data, end to end: discovers the right Nimble web-data agents, scrapes into Delta tables, and produces an AI/BI dashboard and/or a deployed Databricks App — a table → dashboard → app workflow, for production data products or quick demos. Use whenever a request pairs live or scraped web data WITH a Databricks destination — e.g. "scrape Amazon/Walmart prices into a Delta table and build a dashboard", "load Zillow/Instagram/Maps/search results into Databricks and build a dashboard or app", "showcase Nimble + Databricks to a prospect". Prefer it over nimble-web-expert or competitor-intel when the data lands in Databricks. Do NOT use for one-off web fetches or CSV exports with no Databricks destination — use nimble-web-expert instead. Do NOT use for competitor or company research briefings — use competitor-intel or company-deep-dive instead. Do NOT use for generic Databricks work with no Nimble/web-data angle — use the official databricks-* skills instead.
Install
With your agent
Install OMGSkills skill "nimbleway/agent-skills:skills/nimble-databricks-data-products" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/Nimbleway/agent-skills /tmp/agent-skills && ln -s /tmp/agent-skills/skills/nimble-databricks-data-products ~/.claude/skills/nimble-databricks-data-productsFrom README
Nimble on Databricks — data products builder Turn a natural-language brief like pricing analysis on dog products from walmart and amazon into working Databricks data products: discover agents → ingest live web search data into Delta → build dashboard and/or app → deliver links. Equally at home for a quick demo or a real, reusable data product. You are the orchestrator. Databricks mechanics are delegated to the official databricks- skills (see references/databricks-skills.md); this skill owns the Nimble glue and the gaps (agent discovery, ingestion-from-agents, the AI/BI dashboard JSON, branding). Golden rules Discover, don't assume. Read agent names via nimbleagentlist(), input params via nimbleagentdescribe(' '), and output fields by probing one call (tojson(parsing[0])) — never hardcode from memory (Amazon search takes keyword, not query). Probe before fanning out.
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