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: use the OMGSkills MCP get_skill tool, install only the pinned_install commit and path, verify SKILL.md against pinned_install.skill_md_sha, 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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