Install payload
Install payload is broadly covered in current results.
100% (3/3)
2 trusted · 1 review in this set — compare to see which signals differ.
3 results in this view
1 trust signal differs in this sample: Package trust
Signals differ on Package trust — add entries to compare before you install.
Rollout signal scan
Biggest gaps: metadata review. 0 entries have 2+ required gaps.
Install payload
Install payload is broadly covered in current results.
100% (3/3)
Adoption queue
1/3 visible results are in hold tier and need mitigation before adoption.
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/cli-data-viz-quickstart · trust trusted · confidence 83%
1 blockers: Metadata review
70/100
Request metadata review from maintainers or internal owners.
skills/csv-excel-data-wrangler · trust trusted · confidence 83%
1 blockers: Metadata review
38/100
Request metadata review from maintainers or internal owners.
Document privacy posture and data handling expectations.
Collect package checksum or signed artifact information.
rules/python-data-science · trust review · confidence 50%
Decision confidence
1/3 results are low-confidence and need review before adoption.
Confident candidate for staged adoption.
74/100
skills/cli-data-viz-quickstart · trust trusted
Confident candidate for staged adoption.
74/100
skills/csv-excel-data-wrangler · trust trusted
Hold adoption until Metadata review, Privacy notes are resolved.
42/100
rules/python-data-science · trust review
Freshness distribution
Median age 286 days; 0 fresh of 3 scanned. Re-verify the oldest entries.
Theme distribution
100% of this view shares the top theme. Leading themes: python, pandas, charts.
11 distinct themes across 3 scanned
Turn Claude into a practical pandas data-wrangling partner for loading, cleaning, reshaping, and aggregating tabular data with the pandas DataFrame API
Turn CSV, JSON, or Excel data into publication-ready charts with Python: load it with pandas and render bar, line, scatter, and statistical plots in matplotlib (with seaborn styling), then export high-DPI PNG or SVG.
Clean, filter, join, pivot, and export CSV/XLSX data reliably with reproducible steps. Transform messy spreadsheets into production-ready datasets with pandas. Handle encoding issues, data type conversion, missing values, duplicates, and complex merges.