@aradotso/mdv-markdown-visualization

MDV — Markdown superset for documents, dashboards, and slides with embedded charts, KPI stats, and data visualizations exported to HTML or PDF.

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SKILL.md
namemdv-markdown-visualization
descriptionMDV — Markdown superset for documents, dashboards, and slides with embedded charts, KPI stats, and data visualizations exported to HTML or PDF.
triggerscreate an mdv document with charts, render markdown with data visualizations, build a dashboard in markdown, export mdv to html or pdf, add charts to markdown document, mdv fenced code blocks for visualization, create slide deck with mdv, live preview mdv file in vscode

MDV Markdown Data & Visualization

Skill by ara.so — Daily 2026 Skills collection.

MDV is a Markdown superset (.mdv files) for writing reports, dashboards, and slide decks in a single workflow, then exporting to self-contained HTML or PDF. It extends CommonMark with four additions: YAML front-matter, fenced visualization blocks, ::: containers for layout, and auto-generated tables of contents.

Installation & Setup

git clone https://github.com/drasimwagan/mdv mdv
cd mdv
npm install
npm run build

# Render a file to HTML
node packages/mdv-cli/dist/index.js render examples/09-full-report.mdv

# Live preview with auto-reload
node packages/mdv-cli/dist/index.js preview examples/09-full-report.mdv

# Export to PDF
node packages/mdv-cli/dist/index.js export --pdf examples/09-full-report.mdv

CLI Commands

# Render .mdv → self-contained HTML
node packages/mdv-cli/dist/index.js render <file.mdv>
node packages/mdv-cli/dist/index.js render <file.mdv> --out output.html

# Live preview (opens browser, auto-reloads on save)
node packages/mdv-cli/dist/index.js preview <file.mdv>

# PDF export
node packages/mdv-cli/dist/index.js export --pdf <file.mdv>
node packages/mdv-cli/dist/index.js export --pdf <file.mdv> --out report.pdf

File Structure

.mdv project/
├── data/
│   ├── sales.csv
│   └── metrics.json
├── report.mdv
└── dashboard.mdv

Document Anatomy

Every .mdv file has three zones:

  1. YAML front-matter — metadata, theme, named styles, dataset refs
  2. Markdown body — standard CommonMark prose
  3. Fenced blocks & containers — charts, stats, callouts, columns

YAML Front-Matter

---
title: Q1 Sales Report
author: Jane Smith
theme: report          # report | dashboard | slides | minimal
data:
  sales: ./data/sales.csv
  users: ./data/users.json
styles:
  highlight:
    background: "#fff3cd"
    border-left: "4px solid #ffc107"
  danger:
    background: "#fde8e8"
    border-left: "4px solid #e53e3e"
---

Available Themes

Theme Best for
report Long-form documents, articles
dashboard KPI cards, dense data layouts
slides Presentations, slide decks
minimal Clean, unstyled output

Fenced Visualization Blocks

Stat / KPI Cards

```stat
label, value, delta
Total revenue, $2.06M, +14%
New customers, 1,238, +8%
Churn rate, 2.1%, -0.3%
Active accounts, 9,842, +5%

The `stat` block renders a row of KPI cards. Columns: `label`, `value`, `delta` (optional).

### Charts

All charts use `` ```chart `` with attributes on the opening fence line:

```markdown
```chart type=bar x=region y=sales title="Sales by Region"

**Chart attributes:**

| Attribute   | Values / Notes                                      |
|-------------|-----------------------------------------------------|
| `type`      | `bar`, `line`, `area`, `pie`, `donut`, `scatter`   |
| `data`      | Named dataset from front-matter (e.g. `data=sales`)|
| `x`         | Column name for x-axis                              |
| `y`         | Column name for y-axis                              |
| `series`    | Column name to split into multiple series           |
| `title`     | Chart title string                                  |
| `yFormat`   | `currency`, `percent`, `number`                     |
| `color`     | Hex or CSS color for single-series charts           |
| `width`     | `full`, `half`, `third` (layout hint)               |
| `height`    | Pixel height as number                              |

**Chart examples:**

```markdown
# Bar chart from referenced dataset
```chart type=bar data=sales x=region y=revenue title="Revenue by Region"

Line chart with multiple series


Pie chart


Scatter plot



### Inline Data in Chart Blocks

When no `data=` attribute is given, put CSV inline in the block body:

```markdown
```chart type=bar x=quarter y=revenue title="Quarterly Revenue"
quarter, revenue
Q1, 206000
Q2, 241000
Q3, 198000
Q4, 312000

### Tables

Standard CommonMark tables work as-is. For data-sourced tables:

```markdown
```table data=sales columns="region,revenue,growth" title="Regional Breakdown"

## `:::` Containers

Containers wrap content in styled or structural regions.

### Table of Contents

```markdown
::: toc
:::

Inserts an auto-generated TOC based on headings in the document.

Callout / Alert Boxes

::: callout
This is an important note rendered in a highlighted box.
:::

::: callout type=warning
Watch out — this may have side effects.
:::

::: callout type=danger
Do not run this in production.
:::

Callout types: info (default), warning, danger, success.

Column Layouts

::: columns
::: col
Left column content, charts, or stats here.
:::
::: col
Right column content.
:::
:::

Named Style Containers

Apply styles defined in front-matter:

::: highlight
This paragraph uses the `highlight` named style from front-matter.
:::

::: danger
Critical warning styled with the `danger` named style.
:::

Complete Document Examples

Report Document

---
title: Q1 2026 Report
theme: report
data:
  sales: ./data/sales.csv
---

::: toc
:::

# Executive Summary

::: callout type=success
Revenue grew 14% YoY, exceeding the $2M target.
:::

```stat
label, value, delta
Total Revenue, $2.06M, +14%
New Customers, 1,238, +8%
NPS Score, 67, +4

Revenue Breakdown


::: columns ::: col


::: ::: col


::: :::

Data Table



### Dashboard Document

```markdown
---
title: Operations Dashboard
theme: dashboard
data:
  ops: ./data/ops.csv
  alerts: ./data/alerts.json
---

# Live Metrics

```stat
label, value, delta
Uptime, 99.97%, +0.02%
Avg Latency, 42ms, -8ms
Error Rate, 0.03%, -0.01%
Active Users, 14,203, +312

::: columns ::: col


::: ::: col


::: :::



### Slide Deck

```markdown
---
title: Product Roadmap 2026
theme: slides
---

# Vision

Our goal: ship faster, break less.

---

# Q1 Achievements

```stat
label, value, delta
Features shipped, 24, +6
Bugs closed, 187, -12%
Deploy frequency, 3.2/day, +40%

Revenue Growth

quarter, arr
Q1, 1200000
Q2, 1450000
Q3, 1780000
Q4, 2060000

## Data Formats

### CSV (inline or file)

```csv
region, revenue, growth, deals
North, 680000, 0.18, 142
South, 410000, 0.09, 87
East, 520000, 0.22, 113
West, 450000, 0.11, 98

JSON (file reference)

[
  { "month": "Jan", "revenue": 180000, "region": "North" },
  { "month": "Feb", "revenue": 195000, "region": "North" },
  { "month": "Jan", "revenue": 120000, "region": "South" }
]

Reference in front-matter:

data:
  sales: ./data/sales.csv
  metrics: ./data/metrics.json

VS Code Extension

Install the VS Code extension for side-by-side live preview:

cd packages/mdv-vscode
npm install
npm run build
# Then install the generated .vsix via VS Code Extensions panel → "Install from VSIX"

Once installed:

  • Open any .mdv file
  • Press Ctrl+Shift+PMDV: Open Preview
  • Preview updates on every save

See docs/vscode.md and docs/publishing-vscode-extension.md for marketplace publishing.

Project Package Structure

packages/
├── mdv-core/        # Parser, renderer, chart engine (TypeScript)
├── mdv-cli/         # CLI: render, preview, export commands
└── mdv-vscode/      # VS Code extension with live preview

Common Patterns

Pattern: Dashboard with KPIs + Charts

---
title: Sales Dashboard
theme: dashboard
data:
  pipeline: ./data/pipeline.csv
---

```stat
label, value, delta
Pipeline, $4.2M, +22%
Deals Open, 94, +11
Win Rate, 31%, +3%
Avg Deal Size, $44.7K, +8%

::: columns ::: col


::: ::: col


::: :::


### Pattern: Callout + Inline Data Chart

```markdown
::: callout type=warning
Revenue dipped in March due to seasonal effects.
:::

```chart type=area x=month y=revenue title="Revenue Trend"
month, revenue
Jan, 180000
Feb, 195000
Mar, 162000
Apr, 201000
May, 224000

### Pattern: Named Styles for Emphasis

```yaml
---
styles:
  metric-good:
    background: "#f0fff4"
    border-left: "4px solid #38a169"
  metric-bad:
    background: "#fff5f5"
    border-left: "4px solid #e53e3e"
---
::: metric-good
**Churn** dropped to 1.8% this quarter — lowest in 3 years.
:::

::: metric-bad
**Support tickets** up 23% — investigate root cause.
:::

Troubleshooting

Build fails: Run npm install from the repo root before npm run build. All packages must build together.

Charts render blank: Ensure data= references a dataset name defined in front-matter, and the CSV/JSON file path is correct relative to the .mdv file.

PDF export fails: PDF export typically requires a headless browser (Puppeteer/Chromium). Ensure dependencies are installed: npm install in packages/mdv-cli.

Preview not updating: The preview command watches for file saves. Ensure you're saving the .mdv file (not just a data file). If a data file changed, re-save the .mdv to trigger reload.

VS Code extension not showing preview: Confirm the extension built successfully (npm run build in packages/mdv-vscode) and was installed from the .vsix. Open a .mdv file specifically — the preview command only activates on .mdv files.

Inline CSV not parsing: Ensure column names have no leading/trailing spaces and that delimiter is a comma. The first non-empty line of an inline block is treated as the header row.

Theme not applying: Theme names are case-sensitive. Valid values: report, dashboard, slides, minimal.

Key Files for Contributors

packages/mdv-core/src/
├── parser.ts        # CommonMark + MDV extensions parser
├── renderer.ts      # HTML renderer
├── chart.ts         # SVG chart engine
├── data.ts          # CSV/JSON data loader
└── theme.ts         # Theme & named style resolution

packages/mdv-cli/src/
└── index.ts         # CLI entry: render | preview | export

packages/mdv-vscode/src/
└── extension.ts     # VS Code extension + preview panel

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