visuals
visuals is a Dashboards & data visualisation skill for AI agents, published by spatney in the rayfin-fabricator repository on GitHub. Skillspace rates visuals F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Use when adding charts, KPIs, tables, slicers, or any visual to a dashboard. Charts are authored as Graphein chart specs — one chart = one JSON `ChartSpec` (type + tidy `data` + `encoding`) dropped into `<ChartCard spec={…} />`, which owns loading / empty / error and the app theme. Covers the spec model and the per-type recipes (line/area/bar/scatter/pie/heatmap/funnel/combo/histogram/ treemap/gauge/bullet/waterfall/calendarHeatmap/slope/dumbbell/table/matrix), declarative features (transform/annotations/insights/trendline/facet), the validate→repair→report self-check (graphein 0.16), headless preview against live data, the DAX→rows helpers (toChartData / toTable / topN / deriveKpi), `KpiCard`, `DataTableCard` (Graphein table/matrix), slicers (dropdown/list/search/date-range/range + FilterBar) with shared filter state, interactivity, layout, value formatting, and color tokens.
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 25
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 71 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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