data-report
Turns CSV, Excel, or JSON data into a polished visual report page.
Datos de origen
- Repositorio
- sanghyunna/readable-studio
- Última actividad en el origen
- 6 de octubre de 2026 a las 07:59
- Idioma detectado de SKILL.md
- inglés
- Estrellas
- 0
- Forks
- 0
Opciones de instalación
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Revisa los archivos de origen
Lee SKILL.md y los archivos complementarios que muestra SkillsMP antes de decidir si quieres instalarlo.
Explorador de archivos
3 archivosMostrando SKILL.md
SKILL.md
Instrucciones de origen · Vista previa de solo lectura- name
- data-report
- zh_name
- 数据可视化报告
- en_name
- Data Visualization Report
- emoji
- 📊
- description
- Turns CSV, Excel, or JSON data into a polished visual report page.
- zh_description
- 把 CSV/Excel/JSON 数据转成漂亮的可视化报告页
- en_description
- Turns CSV, Excel, or JSON data into a polished visual report page.
- category
- data
- scenario
- finance
- aspect_hint
- desktop long page
- featured
- 10
- tags
- ["data","report","chart","visualization"]
- example_id
- sample-data-weekly-report
- example_name
- Data Report · Weekly Report
- example_format
- csv
- example_tagline
- KPI cards + Chart.js charts + table
- example_desc
- 9 months of growth data auto-rendered into a visual report, with inline Chart.js
- readable
- {"mode":"prototype","surface":"web","platform":"desktop","scenario":"finance","upstream":"https://github.com/nexu-io/html-anything","preview":{"type":"html","entry":"index.html","reload":"debounce-100"},"design_system":{"requires":false},"example_prompt":"Use the Data Visualization Report template to turn my CSV, Excel, or JSON data into a polished visual report page. Preserve the template's visual signature, use real content and data, and avoid lorem ipsum or placeholder images.","example_prompt_i18n":{"zh-CN":"用「数据可视化报告」模板把我的内容做成一份「把 CSV/Excel/JSON 数据转成漂亮的可视化报告页」。保持模板的视觉签名，使用真实内容和数据，避免 lorem ipsum 和占位图片。"}}
【Template: Data Visualization Report】
- Header: report title + time range + data source note.
- KPI card grid: 3-5 of the most important metrics, each card showing the value + year-over-year change + a mini trend line.
- Main chart area: at least 2 charts (bar / line / pie / scatter), using Chart.js or ECharts (via jsdelivr CDN), with data parsed from the user's input.
- **Chart containers must have a fixed height**: wrap each `<canvas>` in a `<div style="position:relative;height:NNNpx">` (~40px for KPI mini charts, ~240–280px for main charts). When Chart.js uses `responsive:true, maintainAspectRatio:false` without an explicit height on the parent container, it falls into a ResizeObserver infinite loop and the chart grows without bound until the browser hangs. **Never** set a `height=` attribute directly on the canvas as layout — that is only an initial value.
- Data table: an excerpt of the user's raw data, using `<table>` with modern styling (zebra stripe, hover, sticky header).
- Insight block: 3-5 text insights, each starting with an emoji, like a product weekly report.
- A collapsible "Methodology" section at the bottom.
- Restrained, professional color scheme: 1 primary color + a neutral scale, with a palette for charts.
- **Must parse the user's actual provided data** — never fabricate it.
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