Convert text content into professional Mermaid diagrams with automatic syntax error prevention.
Works with
Supports six diagram types: process flows, circular cycles, comparisons, mindmaps, sequence diagrams, and state diagrams
Handles common syntax pitfalls automatically (list conflicts, subgraph naming, special characters) to ensure rendering in Obsidian, GitHub, and other Mermaid platforms
Configurable layout direction, detail level (simple to detailed), and professional color schemes with s
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmermaid-visualizerExecute the skills CLI command in your project's root directory to begin installation:
Fetches mermaid-visualizer from axtonliu/axton-obsidian-visual-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate mermaid-visualizer. Access via /mermaid-visualizer in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Convert text content into clean, professional Mermaid diagrams optimized for presentations and documentation. Automatically handles common syntax pitfalls (list syntax conflicts, subgraph naming, spacing issues) to ensure diagrams render correctly in Obsidian, GitHub, and other Mermaid-compatible platforms.
When creating a Mermaid diagram:
Default assumptions:
Best for: Workflows, decision trees, sequential processes, AI agent architectures
Use when: Content describes steps, stages, or a sequence of actions
Key features:
Configuration options:
layout: "vertical" (TB), "horizontal" (LR)detail: "simple" (core steps only), "standard" (with descriptions), "detailed" (with annotations)style: "minimal", "professional", "colorful"Best for: Cyclic processes, continuous improvement loops, agent feedback systems
Use when: Content emphasizes iteration, feedback, or circular relationships
Key features:
Best for: Before/after comparisons, A vs B analysis, traditional vs modern systems
Use when: Content contrasts two or more approaches or systems
Key features:
Best for: Hierarchical concepts, knowledge organization, topic breakdowns
Use when: Content is hierarchical with clear parent-child relationships
Key features:
Best for: Interactions between components, API calls, message flows
Use when: Content involves communication between actors/systems over time
Key features:
Best for: System states, status transitions, lifecycle stages
Use when: Content describes states and transitions between them
Key features:
Always follow these rules to prevent parsing errors:
❌ WRONG: [1. Perception] → Triggers "Unsupported markdown: list"
✅ RIGHT: [1.Perception] → Remove space after period
✅ RIGHT: [① Perception] → Use circled numbers (①②③④⑤⑥⑦⑧⑨⑩)
✅ RIGHT: [(1) Perception] → Use parentheses
✅ RIGHT: [Step 1: Perception] → Use "Step" prefix
❌ WRONG: subgraph AI Agent Core → Space in name without quotes
✅ RIGHT: subgraph agent["AI Agent Core"] → Use ID with display name
✅ RIGHT: subgraph agent → Use simple ID only
❌ WRONG: Title --> AI Agent Core → Reference display name directly
✅ RIGHT: Title --> agent → Reference subgraph ID
✅ Use quotes for text with spaces: ["Text with spaces"]
✅ Escape or avoid: quotation marks → use 『』instead
✅ Escape or avoid: parentheses → use 「」instead
✅ Line breaks in circle nodes only: ((Text<br/>Break))
--> solid arrow-.-> dashed arrow (for supporting systems, optional paths)==> thick arrow (for emphasis)~~~ invisible link (for layout only)For complete syntax reference and edge cases, see references/syntax-rules.md
All diagrams accept these parameters:
Layout:
direction: "vertical" (TB), "horizontal" (LR), "right-to-left" (RL), "bottom-to-top" (BT)aspect: "portrait" (default), "landscape" (wide), "square"Detail Level:
simple: Core elements only, minimal labelsstandard: Balanced detail with key descriptions (default)detailed: Full annotations, explanations, and metadatapresentation: Optimized for slides (larger text, fewer details)Style:
minimal: Monochrome, clean linesprofessional: Semantic colors, clear hierarchy (default)colorful: Vibrant colors, high contrastacademic: Formal styling for papers/documentationAdditional Options:
show_legend: true/false - Include color/symbol legendnumbered: true/false - Add sequence numbers to stepstitle: string - Add diagram titlePattern 1: Basic request
User: "Visualize the software development lifecycle"
Response: [Analyze → Choose graph TB → Generate with standard detail]
Pattern 2: With configuration
User: "Create a horizontal flowchart of our sales process with lots of detail"
Response: [Analyze → Choose graph LR → Generate with detailed level]
Pattern 3: Comparison
User: "Compare traditional AI vs AI agents"
Response: [Analyze → Choose comparison layout → Generate with contrasting styles]
Understand the content
Select diagram type
Choose configuration
Generate Mermaid code
Output with context
Standard professional palette:
graph TB
subgraph core["Core Process"]
A --> B --> C
end
subgraph support["Supporting Systems"]
D
E
end
core -.-> support
graph TB
A[Start] --> B[Process]
B --> C[End]
C -.->|Feedback| A
graph TB
Central[Hub]
A[Spoke 1] --> Central
B[Spoke 2] --> Central
C[Spoke 3] --> Central
Before outputting, verify:
For detailed syntax rules and troubleshooting, see:
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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I recommend mermaid-visualizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added mermaid-visualizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
mermaid-visualizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
mermaid-visualizer reduced setup friction for our internal harness; good balance of opinion and flexibility.
mermaid-visualizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in mermaid-visualizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: mermaid-visualizer is focused, and the summary matches what you get after install.
mermaid-visualizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
mermaid-visualizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
mermaid-visualizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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