mermaid-tools

daymade/claude-code-skills · updated Apr 8, 2026

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$npx skills add https://github.com/daymade/claude-code-skills --skill mermaid-tools
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summary

This skill enables extraction of Mermaid diagrams from markdown files and generation of high-quality PNG images. The skill bundles all necessary scripts (extract-and-generate.sh, extract_diagrams.py, and puppeteer-config.json) in the scripts/ directory for portability and reliability.

skill.md

Mermaid Tools

Overview

This skill enables extraction of Mermaid diagrams from markdown files and generation of high-quality PNG images. The skill bundles all necessary scripts (extract-and-generate.sh, extract_diagrams.py, and puppeteer-config.json) in the scripts/ directory for portability and reliability.

Core Workflow

Standard Diagram Extraction and Generation

Extract Mermaid diagrams from a markdown file and generate PNG images using the bundled extract-and-generate.sh script:

cd ~/.claude/skills/mermaid-tools/scripts
./extract-and-generate.sh "<markdown_file>" "<output_directory>"

Parameters:

  • <markdown_file>: Path to the markdown file containing Mermaid diagrams
  • <output_directory>: (Optional) Directory for output files. Defaults to <markdown_file_directory>/diagrams

Example:

cd ~/.claude/skills/mermaid-tools/scripts
./extract-and-generate.sh "/path/to/document.md" "/path/to/output"

What the Script Does

  1. Extracts all Mermaid code blocks from the markdown file
  2. Numbers them sequentially (01, 02, 03, etc.) in order of appearance
  3. Generates .mmd files for each diagram
  4. Creates high-resolution PNG images with smart sizing
  5. Validates all generated PNG files

Output Files

For each diagram, the script generates:

  • 01-diagram-name.mmd - Extracted Mermaid code
  • 01-diagram-name.png - High-resolution PNG image

The numbering ensures diagrams maintain their order from the source document.

Advanced Usage

Custom Dimensions and Scaling

Override default dimensions using environment variables:

cd ~/.claude/skills/mermaid-tools/scripts
MERMAID_WIDTH=1600 MERMAID_HEIGHT=1200 ./extract-and-generate.sh "<markdown_file>" "<output_directory>"

Available variables:

  • MERMAID_WIDTH (default: 1200) - Base width in pixels
  • MERMAID_HEIGHT (default: 800) - Base height in pixels
  • MERMAID_SCALE (default: 2) - Scale factor for high-resolution output

High-Resolution Output for Presentations

cd ~/.claude/skills/mermaid-tools/scripts
MERMAID_WIDTH=2400 MERMAID_HEIGHT=1800 MERMAID_SCALE=4 ./extract-and-generate.sh "<markdown_file>" "<output_directory>"

Print-Quality Output

cd ~/.claude/skills/mermaid-tools/scripts
MERMAID_SCALE=5 ./extract-and-generate.sh "<markdown_file>" "<output_directory>"

Smart Sizing Feature

The script automatically adjusts dimensions based on diagram type (detected from filename):

  • Timeline/Gantt: 2400×400 (wide and short)
  • Architecture/System/Caching: 2400×1600 (large and detailed)
  • Monitoring/Workflow/Sequence/API: 2400×800 (wide for process flows)
  • Default: 1200×800 (standard size)

Context-aware naming in the extraction process helps trigger appropriate smart sizing.

Important Principles

Use Bundled Scripts

CRITICAL: Use the bundled extract-and-generate.sh script from this skill's scripts/ directory. All necessary dependencies are bundled together.

Change to Script Directory

Run the script from its own directory to properly locate dependencies (extract_diagrams.py and puppeteer-config.json):

cd ~/.claude/skills/mermaid-tools/scripts
./extract-and-generate.sh "<markdown_file>" "<output_directory>"

Running the script without changing to the scripts directory first may fail due to missing dependencies.

Prerequisites Verification

Before running the script, verify dependencies are installed:

  1. mermaid-cli: mmdc --version
  2. Google Chrome: google-chrome-stable --version
  3. Python 3: python3 --version

If any are missing, consult references/setup_and_troubleshooting.md for installation instructions.

Troubleshooting

For detailed troubleshooting guidance, refer to references/setup_and_troubleshooting.md, which covers:

  • Browser launch failures
  • Permission issues
  • No diagrams found
  • Python extraction failures
  • Output quality issues
  • Diagram-specific sizing problems

Quick fixes for common issues:

Permission denied:

chmod +x ~/.claude/skills/mermaid-tools/scripts/extract-and-generate.sh

Low quality output:

MERMAID_SCALE=3 ./extract-and-generate.sh "<markdown_file>" "<output_directory>"

Chrome/Puppeteer errors: Verify all WSL2 dependencies are installed (see references for full list).

Bundled Resources

scripts/

This skill bundles all necessary scripts for Mermaid diagram generation:

  • extract-and-generate.sh - Main script that orchestrates extraction and PNG generation
  • extract_diagrams.py - Python script for extracting Mermaid code blocks from markdown
  • puppeteer-config.json - Chrome/Puppeteer configuration for WSL2 environment

All scripts must be run from the scripts/ directory to properly locate dependencies.

references/setup_and_troubleshooting.md

Comprehensive reference documentation including:

  • Complete prerequisite installation instructions
  • Detailed environment variable reference
  • Extensive troubleshooting guide
  • WSL2-specific Chrome dependency setup
  • Validation procedures

Load this reference when dealing with setup issues, installation problems, or advanced customization needs.

how to use mermaid-tools

How to use mermaid-tools on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add mermaid-tools
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/daymade/claude-code-skills --skill mermaid-tools

The skills CLI fetches mermaid-tools from GitHub repository daymade/claude-code-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/mermaid-tools

Reload or restart Cursor to activate mermaid-tools. Access the skill through slash commands (e.g., /mermaid-tools) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.752 reviews
  • Sakura Bansal· Dec 20, 2024

    I recommend mermaid-tools for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Evelyn Agarwal· Dec 16, 2024

    We added mermaid-tools from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • James Ramirez· Dec 16, 2024

    Solid pick for teams standardizing on skills: mermaid-tools is focused, and the summary matches what you get after install.

  • Yusuf Rahman· Dec 12, 2024

    Keeps context tight: mermaid-tools is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hiroshi Torres· Dec 12, 2024

    Registry listing for mermaid-tools matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Soo Rao· Nov 11, 2024

    mermaid-tools fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Ren Shah· Nov 7, 2024

    mermaid-tools has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Hiroshi Martinez· Nov 3, 2024

    mermaid-tools reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Evelyn Patel· Oct 26, 2024

    mermaid-tools fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Evelyn Jackson· Oct 22, 2024

    mermaid-tools is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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