{"id":79635,"plugin_id":"plugins_6ab42aaa4d808191be10baa770d399ad","kind":"skill","collection_source":"plugin_package","comparison_source":null,"observed_at":"2026-11-04T00:11:33.371Z","digest":"d78720db8262d144fa168b197ed12c08f61e7794ffadc2567c8ef9fa3ab801d0","against":null,"payload":{"description":"Turn numerical tables or datasets into accurate quantitative figures or graphic summaries.","included_files":[],"name":"data-to-visual","skill_md_contents":"---\nname: data-to-visual\ndescription: Turn numerical tables or datasets into accurate quantitative figures or graphic summaries.\n---\n\n\n# Data-based visuals\n1. Confirm source data and units. A supplied dataset is not permission to invent missing values or fill in fabricated trends.\n2. Use the chart choice in `../../references/quantitative-design.md`: quantity/comparison→bar, time series→line, distribution→histogram, relationship→scatter, composition→appropriate part-to-whole.\n3. Aggregate/deduplicate deterministically; document denominators, timeframe, missing data and rounding. Compute with actual tools where available.\n4. Choose output based on requirements: exact editable charts should use charting or spreadsheet tools; a static data-art poster may use image generation if it preserves precise labels and data integrity.\n5. Check chart baseline, tick spacing, rank ordering, scale, units, labeling and uncertainty. Never invent numeric authority in an image.\n6. If source is insufficient, deliver a transparent limitation or clearly labeled template on explicit request.\n"},"changes":[],"summary":"First saved snapshot. No earlier version is available for comparison.","summary_kind":"deterministic","summary_metadata":{}}