mcpbeat

Mermaid Graph Renderer

curiositech/mermaid-graph-renderer

Renders Mermaid diagrams to SVG, PNG, and PDF in both web and offline contexts. Covers client-side lazy loading, SSR trade-offs, CLI batch export, and native Rust rendering. Use when exporting diagrams to images, optimizing Mermaid rendering performance on web pages, setting up CI/CD diagram pipelines, or choosing a rendering library. Activate on "render mermaid", "export diagram", "mermaid to png", "mermaid to svg", "mermaid performance", "diagram export". NOT for writing Mermaid syntax (use mermaid-graph-writer), general image processing, or non-Mermaid diagram formats.

3k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
177
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/curiositech/some_claude_skills --skill mermaid-graph-renderer

The instruction itself

18 sections, as written by the author

Mermaid Graph Renderer

Renders Mermaid diagrams to production-quality SVG, PNG, and PDF in web and offline contexts. Covers the full spectrum from lazy-loaded client-side rendering to 1000x-faster native Rust batch export.

Core Constraint

Mermaid.js requires browser APIs (document.createElement, SVGTextElement.getBBox()) to compute text dimensions. Every non-browser rendering path must either embed a headless browser or reimplement the renderer from scratch. This constraint shapes every decision below.


When to Use

Use for:

  • Rendering Mermaid diagrams on web pages (performance-optimized)
  • Exporting diagrams to SVG, PNG, or PDF (offline/CLI)
  • Setting up CI/CD pipelines that generate diagram images
  • Choosing between rendering libraries for a project
  • Optimizing Mermaid load time on documentation sites

NOT for:

  • Writing Mermaid syntax (use mermaid-graph-writer)
  • Rendering non-Mermaid formats (PlantUML, GraphViz — see Kroki)
  • General image processing or manipulation

Rendering Decision Tree

flowchart TD
  A{Where are you rendering?} -->|Browser| B{Performance matters?}
  A -->|CLI / CI| C{Volume?}
  A -->|Server-side| D{Must avoid client JS?}

  B -->|Yes| E[Lazy-load mermaid.js]
  B -->|No| F[CDN script tag]

  C -->|1-10 diagrams| G[mermaid-cli]
  C -->|10-100 diagrams| H{Need multiple formats?}
  C -->|100+ diagrams| I[mmdr Rust renderer]

  H -->|Mermaid only| G
  H -->|Multiple languages| J[Kroki]

  D -->|Yes, zero JS| K[Build-time with Puppeteer]
  D -->|Some JS OK| E
  K -->|Slow builds warning| L[rehype-mermaid + Playwright]

Web Rendering

Best for documentation sites, blogs, and apps where only some pages have diagrams.

How it works: Check for .mermaid elements before loading the library. The ~480 KB cost is only paid on pages that actually need it.

// Lazy load pattern — only loads mermaid.js when diagrams exist
function initMermaid() {
  const diagrams = document.querySelectorAll('.mermaid');
  if (diagrams.length === 0) return;

  const script = document.createElement('script');
  script.src = 'https://cdn.jsdelivr.net/npm/mermaid@11/dist/mermaid.min.js';
  script.onload = () => {
    mermaid.initialize({ startOnLoad: false, theme: 'neutral' });
    mermaid.run({ nodes: diagrams });
  };
  document.head.appendChild(script);
}

// Handle initial load + SPA navigation
document.addEventListener('DOMContentLoaded', initMermaid);
// For SPA route changes: call initMermaid() after navigation

Key detail: Handle both initial page load AND client-side navigation (SPA route changes) by re-running mermaid.run() when new diagram content appears.

| Aspect | Value |

|--------|-------|

| Bundle size | ~480 KB (core + lazy diagram chunks) |

| Render time | ~50-200 ms per diagram (client) |

| Diagram coverage | Full (all Mermaid types) |

| Best for | Docs sites, blogs, apps with occasional diagrams |

Option 2: @mermaid-js/tiny

Pre-bundled subset for CDN use. All diagram types included upfront (no lazy-loading of diagram chunks). Smaller total but loaded eagerly.

Use when: You know exactly which 1-2 diagram types you need and want a single-file import.

Option 3: Build-Time SSR (Usually Not Worth It)

Render SVGs at build time using Puppeteer/Playwright. Sounds appealing; painful in practice.

Costs:

  • Adds ~280 MB to node_modules (Puppeteer + Chromium)
  • ~2-3 seconds per diagram to spin up and render
  • A 5-second build becomes 45 seconds for ~30 diagrams
  • Docker/CI headaches (Chrome needs to be installed)

When actually worth it: Strict zero-JS requirements, or sites with hundreds of diagrams where you want to eliminate client-side rendering entirely.

Tools: rehype-mermaid (uses Playwright), rehype-mermaid-cli (wraps official CLI).

Verdict: Unless you have strict zero-JS requirements, lazy-loaded client-side rendering is the better trade-off.


Offline / CLI Rendering

Option 1: mermaid-cli (Official)

The canonical CLI tool. Launches headless Chromium, renders, captures output.

# Install
npm install -g @mermaid-js/mermaid-cli

# Basic usage
mmdc -i input.mmd -o output.svg
mmdc -i input.mmd -o output.png -b transparent
mmdc -i input.mmd -o output.pdf

# With config
mmdc -i input.mmd -o output.svg -t dark --configFile mermaid.config.json

# Batch: process Markdown with embedded diagrams
mmdc -i document.md -o document-with-images.md

# Docker
docker run --rm -v $(pwd):/data minlag/mermaid-cli -i /data/input.mmd -o /data/output.svg

| Aspect | Value |

|--------|-------|

| Speed | ~3000 ms per diagram (Chromium overhead) |

| Output | SVG, PNG, PDF |

| Size | ~280 MB (Puppeteer + Chromium) |

| Coverage | Full (all Mermaid types, 100% parity) |

| Best for | 1-50 diagrams, when accuracy matters most |

SVG gotcha: Output SVGs contain <foreignObject> elements that break in Inkscape and rsvg-convert. Fix: set "htmlLabels": false in config, or export to PNG instead.

Option 2: Kroki (Multi-Format Gateway)

Unified HTTP API that routes diagram source to appropriate rendering engine. Supports 25+ languages (Mermaid, PlantUML, GraphViz, D2, Excalidraw, etc.).

# Render via HTTP (self-hosted or kroki.io)
curl -X POST https://kroki.io/mermaid/svg \
  -H 'Content-Type: text/plain' \
  -d 'flowchart LR
    A --> B --> C' \
  -o diagram.svg

# Self-host via Docker Compose
# docker-compose.yml needs: yuzutech/kroki + yuzutech/kroki-mermaid

| Aspect | Value |

|--------|-------|

| Speed | ~500-2000 ms (network + render) |

| Output | SVG, PNG, PDF, JPEG |

| Languages | 25+ (Mermaid, PlantUML, GraphViz, D2, etc.) |

| Best for | Multi-language pipelines, CI/CD, documentation generators |

When Kroki wins: You need multiple diagram languages in one pipeline.

When it doesn't: Simple "render one Mermaid diagram" — overkill.

Option 3: mmdr (Native Rust — Fastest)

Native Rust reimplementation. No browser, no Node.js. ~1000x faster than mermaid-cli.

# Install (Rust toolchain required)
cargo install mmdr

# Usage
mmdr input.mmd -o output.svg
mmdr input.mmd -o output.png  # via resvg, no browser

| Aspect | Value |

|--------|-------|

| Speed | ~3 ms per diagram (1000x faster) |

| Output | SVG (native), PNG (via resvg) |

| Size | ~5-10 MB binary |

| Coverage | 13 diagram types (partial parity) |

| Best for | Batch processing 100+ diagrams, CI/CD speed |

Trade-off: Not all Mermaid features are supported yet. Flowcharts and sequence diagrams are mature; other types vary. Accept imperfection for speed, or fall back to mermaid-cli for edge cases.

No <foreignObject> issue: Uses native SVG text, so output works with Inkscape and other SVG tools.


Comparison Matrix

| Criterion | mermaid.js CDN | mermaid-cli | Kroki | mmdr (Rust) |

|-----------|---------------|-------------|-------|-------------|

| Runtime | Browser | Node + Puppeteer | Docker | Native binary |

| Speed/diagram | ~100 ms | ~3000 ms | ~1000 ms | ~3 ms |

| SVG quality | Excellent | Excellent | Excellent | Good (improving) |

| PNG quality | N/A | Good | Good | Good (resvg) |

| PDF export | N/A | Yes | Yes | Not yet |

| Install size | ~480 KB | ~280 MB | ~1 GB (Docker) | ~5-10 MB |

| Diagram coverage | Full | Full | Full | 13 types |

| CI/CD fit | Poor | Moderate | Good | Excellent |

| Multi-language | No | No | Yes (25+) | No |


Recommendations by Use Case

| Use Case | Recommendation | Why |

|----------|---------------|-----|

| Docs site with occasional diagrams | Lazy-loaded mermaid.js | Only loads on pages that need it |

| Next.js / SSR app | Dynamic import, ssr: false | Don't fight build-time rendering |

| CI/CD generating static docs (Mermaid only) | mmdr for speed, mermaid-cli for accuracy | 1000x faster vs. 100% feature parity |

| CI/CD with multiple diagram languages | Kroki | One API for PlantUML + Mermaid + GraphViz |

| Batch export for print/PDF (100+ diagrams) | mmdr + mermaid-cli fallback | Fast for most, accurate for edge cases |

| Desktop apps (Electron/Obsidian/VS Code) | Built-in mermaid.js | Chromium already embedded |


Anti-Patterns

SSR Obsession

Wrong: Spending 3 days setting up Puppeteer in CI to avoid 480 KB of client JS.

Right: Lazy-load mermaid.js. The 480 KB is only fetched on pages with diagrams. Most users won't notice.

foreignObject Surprise

Wrong: Exporting SVGs from mermaid-cli and wondering why Inkscape can't open them.

Right: Set "htmlLabels": false in config, or export to PNG directly.

One Tool for Everything

Wrong: Using mermaid-cli for 500 diagrams in CI (25 minutes of build time).

Right: Use mmdr for batch, mermaid-cli for the few diagrams that need full parity.

How to use it

Copy the folder

Take curiositech/mermaid-graph-renderer from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npm, cargo, go, docker. Without those the skill loads but fails at the first command.