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Execute visualization implementations from dataviz-planner specs.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
| name | dataviz-executor |
| type | executor |
| description | Execute visualization implementations from dataviz-planner specs. |
| version | 0.1.0 |
Primary triggers:
dataviz-planner firstdataviz-criticdashboard-planner first| Situation | Route |
|---|---|
| Have a dataviz-planner spec, need a chart | This skill — generates self-contained HTML |
| Need to design the visualization first | Use dataviz-planner, then come back |
| Have a chart, need quality review | Use dataviz-critic |
| Need multiple charts in a dashboard | Use dashboard-planner for architecture first |
| Have raw data, need quick exploratory chart | This skill — direct request mode (simple cases) |
/dataviz-critic on the outputProvide the output from dataviz-planner. The executor parses the structured plan (Question & Audience, Chart Type Selection, Design Specifications, Equity Review) and generates an HTML visualization matching the spec.
Provide a data file path (CSV/JSON) and describe the chart: "Create a bar chart of sales by region from sales.csv." The executor generates the chart using sensible defaults. For complex multi-variable visualizations or equity-sensitive data, redirects to dataviz-planner.
| Chart Type | Use Case | Plotly.js Trace |
|---|---|---|
| Bar (vertical/horizontal) | Category comparison | bar |
| Grouped/Stacked bar | Multi-series comparison | bar with barmode |
| Line | Trends over time | scatter mode lines |
| Multi-series line | Group trends | scatter mode lines (multiple traces) |
| Scatter | Relationship between variables | scatter |
| Scatter with regression | Correlation analysis | scatter + trendline |
| Histogram | Distribution | histogram |
| Box plot | Distribution comparison | box |
| Heatmap | Matrix relationships | heatmap |
| Treemap | Hierarchical composition | treemap |
| Choropleth | Geographic data | choropleth / choroplethmapbox |
| Pie/Donut | Part-to-whole (≤5 categories) | pie |
Listed under the Executors table.
Trigger signals: generate chart, create visualization, build chart, plot data, generate dataviz, create plotly chart, visualize this data
Use when you have an existing component, flow, or interface and need an evidence-backed accessibility design review after basic checks pass. Best for focus management, ARIA pattern quality, semantics, and state communication gaps automated tools miss.
Use when you know what component, flow, or interface you need but not yet the right accessibility approach. Best for turning requirements into an accessible implementation plan before code hardens bad interaction and state patterns.
Review content for Google AI Overview eligibility — RAG retrievability, E-E-A-T signal completeness, fan-out coverage, semantic HTML for agent parsability, schema markup quality.
Plan AI Overview readiness improvements — RAG retrievability, E-E-A-T signals, query fan-out coverage, semantic HTML, schema markup, agentic channel setup.
Assess organizational AI readiness — capabilities, gaps, adoption roadmap for strategic planning.
Alex Urevick-Ackelsberg's personal writing voice and style. Use this skill whenever writing AS Alex or ghostwriting content that should sound like him — emails to clients, community posts, conference session descriptions, proposals, LinkedIn posts, listserv replies, internal strategy docs, or any communication where Alex is the named author. Also use when Alex asks you to 'write this up,' 'draft a response,' 'help me write,' or when the output needs his voice rather than a generic professional tone. This is Alex's PERSONAL voice — for Zivtech brand/marketing content, use zivtech-writing-style instead (though both can apply when Alex is writing on behalf of Zivtech).