wiki-vitepress

Packages generated wiki Markdown into a VitePress static site with dark theme, dark-mode Mermaid diagrams with click-to-zoom, and production build output. Use…

npx skills add https://github.com/microsoft/skills --skill wiki-vitepress

Wiki VitePress Packager

Transform generated wiki Markdown files into a polished VitePress static site with dark theme and interactive Mermaid diagrams.

When to Activate

  • User asks to "build a site" or "package as VitePress"
  • User runs the /deep-wiki:build command
  • User wants a browsable HTML output from generated wiki pages

VitePress Scaffolding

Generate the following structure in a wiki-site/ directory:

wiki-site/
├── .vitepress/
│   ├── config.mts
│   └── theme/
│       ├── index.ts
│       └── custom.css
├── public/
├── [generated .md pages]
├── package.json
└── index.md

Config Requirements (config.mts)

  • Use withMermaid wrapper from vitepress-plugin-mermaid
  • Set appearance: 'dark' for dark-only theme
  • Configure themeConfig.nav and themeConfig.sidebar from the catalogue structure
  • Mermaid config must set dark theme variables:
mermaid: {
  theme: 'dark',
  themeVariables: {
    primaryColor: '#1e3a5f',
    primaryTextColor: '#e0e0e0',
    primaryBorderColor: '#4a9eed',
    lineColor: '#4a9eed',
    secondaryColor: '#2d4a3e',
    tertiaryColor: '#2d2d3d',
    background: '#1a1a2e',
    mainBkg: '#1e3a5f',
    nodeBorder: '#4a9eed',
    clusterBkg: '#16213e',
    titleColor: '#e0e0e0',
    edgeLabelBackground: '#1a1a2e'
  }
}

Dark-Mode Mermaid: Three-Layer Fix

Layer 1: Theme Variables (in config.mts)

Set via mermaid.themeVariables as shown above.

Layer 2: CSS Overrides (custom.css)

Target Mermaid SVG elements with !important:

.mermaid .node rect,
.mermaid .node circle,
.mermaid .node polygon { fill: #1e3a5f !important; stroke: #4a9eed !important; }
.mermaid .edgeLabel { background-color: #1a1a2e !important; color: #e0e0e0 !important; }
.mermaid text { fill: #e0e0e0 !important; }
.mermaid .label { color: #e0e0e0 !important; }

Layer 3: Inline Style Replacement (theme/index.ts)

Mermaid inline style attributes override everything. Use onMounted + polling to replace them:

import { onMounted } from 'vue'

// In setup()
onMounted(() => {
  let attempts = 0
  const fix = setInterval(() => {
    document.querySelectorAll('.mermaid svg [style]').forEach(el => {
      const s = (el as HTMLElement).style
      if (s.fill && !s.fill.includes('#1e3a5f')) s.fill = '#1e3a5f'
      if (s.stroke && !s.stroke.includes('#4a9eed')) s.stroke = '#4a9eed'
      if (s.color) s.color = '#e0e0e0'
    })
    if (++attempts >= 20) clearInterval(fix)
  }, 500)
})

Use setup() with onMounted, NOT enhanceApp() — DOM doesn't exist during SSR.

Click-to-Zoom for Mermaid Diagrams

Wrap each .mermaid container in a clickable wrapper that opens a fullscreen modal:

document.querySelectorAll('.mermaid').forEach(el => {
  el.style.cursor = 'zoom-in'
  el.addEventListener('click', () => {
    const modal = document.createElement('div')
    modal.className = 'mermaid-zoom-modal'
    modal.innerHTML = el.outerHTML
    modal.addEventListener('click', () => modal.remove())
    document.body.appendChild(modal)
  })
})

Modal CSS:

.mermaid-zoom-modal {
  position: fixed; inset: 0;
  background: rgba(0,0,0,0.9);
  display: flex; align-items: center; justify-content: center;
  z-index: 9999; cursor: zoom-out;
}
.mermaid-zoom-modal .mermaid { transform: scale(1.5); }

Post-Processing Rules

Before VitePress build, scan all .md files and fix:

  • Replace <br/> with <br> (Vue template compiler compatibility)
  • Wrap bare <T> generic parameters in backticks outside code fences
  • Ensure every page has YAML frontmatter with title and description

Build

cd wiki-site && npm install && npm run docs:build

Output goes to wiki-site/.vitepress/dist/.

Known Gotchas

  • Mermaid renders async — SVGs don't exist when onMounted fires. Must poll.
  • isCustomElement compiler option for bare <T> causes worse crashes — do NOT use it
  • Node text in Mermaid uses inline style with highest specificity — CSS alone won't fix it
  • enhanceApp() runs during SSR where document doesn't exist — use setup() only

More skills from microsoft

oss-growth
microsoft
OSS growth hacker persona
agent-framework-azure-ai-py
microsoft
Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.
development
airunway-aks-setup
microsoft
Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".
devops
appinsights-instrumentation
microsoft
Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.
devops
applicationinsights-web-ts
microsoft
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). Use for Real User Monitoring (RUM) — page views, clicks, AJAX/fetch dependencies, exceptions, custom events, and browser-side GenAI agent traces correlated to backend OpenTelemetry traces. Covers SDK Loader Script and npm setup, framework extensions (React, React Native, Angular), Click Analytics, telemetry initializers, and OTel GenAI semantic conventions for agent/tool/model spans emitted from the browser.
devops
azure-ai-anomalydetector-java
microsoft
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
development
azure-ai-language-conversations-py
microsoft
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. Triggers: "azure-ai-ml", "MLClient", "workspace", "model registry", "training jobs", "datasets".
development