mermaid-tools▌
daymade/claude-code-skills · updated Apr 8, 2026
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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.
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
- Extracts all Mermaid code blocks from the markdown file
- Numbers them sequentially (01, 02, 03, etc.) in order of appearance
- Generates
.mmdfiles for each diagram - Creates high-resolution PNG images with smart sizing
- Validates all generated PNG files
Output Files
For each diagram, the script generates:
01-diagram-name.mmd- Extracted Mermaid code01-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 pixelsMERMAID_HEIGHT(default: 800) - Base height in pixelsMERMAID_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:
- mermaid-cli:
mmdc --version - Google Chrome:
google-chrome-stable --version - 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 on Cursor
AI-first code editor with Composer
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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches mermaid-tools from GitHub repository daymade/claude-code-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★52 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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