A data-app design guide that maps analytical interfaces to concrete Databricks AppKit components.
Editorial review checked 2026-10-29 against this instruction snapshot. Supporting scripts and runtime behavior remain outside this editorial review.
The source combines information composition, consistent chart notation and implementation references. It covers custom application screens containing KPIs, tables, reports or conversational data surfaces, and separates them from managed AI/BI dashboards. It expects a buildable component plan rather than a purely visual memo.
Teams designing a custom React/AppKit analytical application where users must understand metrics, query results or generated answers.
The scope is data screens, not general marketing or authentication UI. Attractive charts can still mislead through inconsistent scales or ambiguous metrics. Component availability and package conventions need checking against the actual project.
Unknown; inspect source requirements and supporting scripts.
Inspect the pinned source snapshot and its supporting files first. The command selects this skill through the open-source skills CLI. Node.js and agent-specific setup may be required. Installation can download code; this catalog never runs it.
npx skills add https://github.com/databricks/databricks-agent-skills/tree/d50672205671c6d6edc847b1ddc36e7cba69bd32/skills/databricks-app-design --skill databricks-app-designReview pinned skill folder ↗ · CLI documentation ↗
After source review, use npx skills check and npx skills update to inspect and apply upstream updates. Re-check changed instructions before running them.
Static review only. This is not a security audit or a guarantee of safety.
SKILL.md text only; scripts, dependencies and runtime behavior not audited.
No configured text patterns matched. Unmatched or concealed behavior can still exist.
Allowed tools declaration: Unknown. Runtime permissions and network behavior: Unknown.
74/100 · Metadata coverage 80% · Model 1.0
Scores summarize observable discovery signals. Popularity and repository activity apply to the whole repository. Unknown runtime safety earns no certification.
Identify the audience’s decision and the data required for it. Choose an appropriate layout and notation, then map each element to an existing component with loading, empty, error and uncertain-result states.
Test representative and extreme datasets, keyboard access and narrow screens. Confirm comparable scales and visible sources or generated SQL where relevant, and make sure the plan compiles into the real application rather than remaining an unimplemented design recommendation.
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