Essentials
Data Explorer
Listed under Spreadsheets & DataSpreadsheet Cleanup
Summary
Profile a new table or file for shape, nulls, distributions, and suspicious values, producing a quality-issue list and suggested analysis dimensions. Input is a table name or CSV/Excel; output is an exploration report. Suited to pre-analysis grounding and metric-definition talks.
Why we picked it Why recommended
SkillPouch records why this skill was curated, stage by stage.
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T05.s1Inspect data
Lists where and how many missing, duplicate, or anomalous values appear to seed a cleaning plan.
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T06.s1Define metrics
Helps clarify grain, time range, and analyzable metric definitions.
How to use Applicable stages
Use it in these workflow stages. Open a stage to return to its task.
Get and review
App deep-link installation is coming soon. Open the upstream repository to inspect the skill today.
Check the sources Evidence & sources
Public links you can open and verify on your own.
Upstream source
- Upstream repository (anthropics/knowledge-work-plugins) ↗ Verified on 2026-10-28
Boundaries Known limitations
Does not modify source files; large-table profiling depends on runtime and connectors. Profile findings need business definitions before cleaning rules are final.
Identity and license
License, review date, repository path, and stable identifier.