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Agent Skill · 前端设计

mdv-markdown-visualization(MDV Markdown visualization 前端)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

mdv-markdown-visualization 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 1,825。

总安装 3,669周安装 156GitHub Stars 39下载 1,285核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mdv-markdown-visualization(MDV Markdown visualization 前端)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/mdv-markdown-visualization
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill mdv-markdown-visualization
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aradotso/trending-skills --skill mdv-markdown-visualization

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

mdv-markdown-visualization 用于辅助数据整理、表格处理和图表准备,适合清洗字段和汇总数据。适用于 CSV/Excel 分析和指标计算等数据处理场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。使用时需确认数据来源和时间范围,避免将样本当全量事实。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/mdv-markdown-visualization

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aradotso/trending-skills --skill mdv-markdown-…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mdv-markdown-visualization 怎么安装?

在终端执行 npx skills add https://github.com/aradotso/trending-skills --skill mdv-markdown-visualizat…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mdv-markdown-visualization 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mdv-markdown-visualization 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

mdv-markdown-visualization 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

mdv-markdown-visualization 用的人多吗?

公开数据是累计安装 3,669 次,近一周安装 156 次,下载 1,285 次,GitHub 39 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mdv-markdown-visualization 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
mdv-markdown-visualization

MDV Markdown visualization 前端 · 本页

3,66939操作浏览器未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

ThemeBest for
reportLong-form documents, articles
dashboardKPI cards, dense data layouts
slidesPresentations, slide decks
minimalClean, unstyled output

Fenced Visualization Blocks

Stat / KPI Cards

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:

Chart attributes:

AttributeValues / Notes
typebar, line, area, pie, donut, scatter
dataNamed dataset from front-matter (e.g. data=sales)
xColumn name for x-axis
yColumn name for y-axis
seriesColumn name to split into multiple series
titleChart title string
yFormatcurrency, percent, number
colorHex or CSS color for single-series charts
widthfull, half, third (layout hint)
heightPixel height as number

Chart examples:

# Bar chart from referenced dataset

# 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:

quarter, revenue Q1, 206000 Q2, 241000 Q3, 198000 Q4, 312000

Tables

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

::: Containers

Containers wrap content in styled or structural regions.

Table of Contents

::: 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.
:::

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

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

# Live Metrics

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

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

# Vision

Our goal: ship faster, break less.

---

# Q1 Achievements

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)

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+P → MDV: 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
---

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

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

month, revenue Jan, 180000 Feb, 195000 Mar, 162000 Apr, 201000 May, 224000

Pattern: Named Styles for Emphasis

---
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

平台分布

Codex

31.86%
按下载量换算409

Claude

31.72%
按下载量换算408

Cursor

20.58%
按下载量换算264

Gemini CLI

8.84%
按下载量换算114

安全审计

Gen Agent Trust Hub

可疑

Socket

可疑

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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