Mermaid Visualizer

by axtonliu

artdocument

Transform text content into professional Mermaid diagrams for presentations and documentation. Use when users ask to visualize concepts, create flowcharts, or make diagrams from text. Supports process flows, system architectures, comparisons, mindmaps, and more with built-in syntax error prevention.

Skill Details

Repository Files

2 files in this skill directory


name: mermaid-visualizer description: Transform text content into professional Mermaid diagrams for presentations and documentation. Use when users ask to visualize concepts, create flowcharts, or make diagrams from text. Supports process flows, system architectures, comparisons, mindmaps, and more with built-in syntax error prevention.

Mermaid Visualizer

Overview

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.

Quick Start

When creating a Mermaid diagram:

  1. Analyze the content - Identify key concepts, relationships, and flow
  2. Choose diagram type - Select the most appropriate visualization (see Diagram Types below)
  3. Select configuration - Determine layout, detail level, and styling
  4. Generate diagram - Create syntactically correct Mermaid code
  5. Output in markdown - Wrap in proper code fence with optional explanation

Default assumptions:

  • Vertical layout (TB) unless horizontal requested
  • Medium detail level (balanced between simplicity and information)
  • Professional color scheme with semantic colors
  • Obsidian/GitHub compatible syntax

Diagram Types

1. Process Flow (graph TB/LR)

Best for: Workflows, decision trees, sequential processes, AI agent architectures

Use when: Content describes steps, stages, or a sequence of actions

Key features:

  • Swimlanes via subgraph for grouping related steps
  • Arrow labels for transitions
  • Feedback loops and branches
  • Color-coded stages

Configuration options:

  • layout: "vertical" (TB), "horizontal" (LR)
  • detail: "simple" (core steps only), "standard" (with descriptions), "detailed" (with annotations)
  • style: "minimal", "professional", "colorful"

2. Circular Flow (graph TD with circular layout)

Best for: Cyclic processes, continuous improvement loops, agent feedback systems

Use when: Content emphasizes iteration, feedback, or circular relationships

Key features:

  • Central hub with radiating elements
  • Curved feedback arrows
  • Clear cycle indicators

3. Comparison Diagram (graph TB with parallel paths)

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:

  • Side-by-side layout
  • Central comparison node
  • Clear differentiation via color/style

4. Mindmap

Best for: Hierarchical concepts, knowledge organization, topic breakdowns

Use when: Content is hierarchical with clear parent-child relationships

Key features:

  • Radial tree structure
  • Multiple levels of nesting
  • Clean visual hierarchy

5. Sequence Diagram

Best for: Interactions between components, API calls, message flows

Use when: Content involves communication between actors/systems over time

Key features:

  • Timeline-based layout
  • Clear actor separation
  • Activation boxes for processes

6. State Diagram

Best for: System states, status transitions, lifecycle stages

Use when: Content describes states and transitions between them

Key features:

  • Clear state nodes
  • Labeled transitions
  • Start and end states

Critical Syntax Rules

Always follow these rules to prevent parsing errors:

Rule 1: Avoid List Syntax Conflicts

❌ 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

Rule 2: Subgraph Naming

❌ 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

Rule 3: Node References

❌ WRONG: Title --> AI Agent Core  → Reference display name directly
✅ RIGHT: Title --> agent          → Reference subgraph ID

Rule 4: Special Characters in Node Text

✅ 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))

Rule 5: Arrow Types

  • --> 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

Configuration Options

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 labels
  • standard: Balanced detail with key descriptions (default)
  • detailed: Full annotations, explanations, and metadata
  • presentation: Optimized for slides (larger text, fewer details)

Style:

  • minimal: Monochrome, clean lines
  • professional: Semantic colors, clear hierarchy (default)
  • colorful: Vibrant colors, high contrast
  • academic: Formal styling for papers/documentation

Additional Options:

  • show_legend: true/false - Include color/symbol legend
  • numbered: true/false - Add sequence numbers to steps
  • title: string - Add diagram title

Example Usage Patterns

Pattern 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]

Workflow

  1. Understand the content

    • Identify main concepts, entities, and relationships
    • Determine hierarchy or sequence
    • Note any comparisons or contrasts
  2. Select diagram type

    • Match content structure to diagram type
    • Consider user's presentation context
    • Default to process flow if ambiguous
  3. Choose configuration

    • Apply user-specified options
    • Use sensible defaults for unspecified options
    • Optimize for readability
  4. Generate Mermaid code

    • Follow all syntax rules strictly
    • Use semantic naming (descriptive IDs)
    • Apply consistent styling
    • Test for common errors:
      • No "number. space" patterns in node text
      • All subgraphs use ID["display name"] format
      • All node references use IDs not display names
  5. Output with context

    • Wrap in ```mermaid code fence
    • Add brief explanation of diagram structure
    • Mention rendering compatibility (Obsidian, GitHub, etc.)
    • Offer to adjust or create variations

Color Scheme Defaults

Standard professional palette:

  • Green (#d3f9d8/#2f9e44): Input, perception, start states
  • Red (#ffe3e3/#c92a2a): Planning, decision points
  • Purple (#e5dbff/#5f3dc4): Processing, reasoning
  • Orange (#ffe8cc/#d9480f): Actions, tool usage
  • Cyan (#c5f6fa/#0c8599): Output, execution, results
  • Yellow (#fff4e6/#e67700): Storage, memory, data
  • Pink (#f3d9fa/#862e9c): Learning, optimization
  • Blue (#e7f5ff/#1971c2): Metadata, definitions, titles
  • Gray (#f8f9fa/#868e96): Neutral elements, traditional systems

Common Patterns

Swimlane Pattern (Grouping)

graph TB
    subgraph core["Core Process"]
        A --> B --> C
    end
    subgraph support["Supporting Systems"]
        D
        E
    end
    core -.-> support

Feedback Loop Pattern

graph TB
    A[Start] --> B[Process]
    B --> C[End]
    C -.->|Feedback| A

Hub and Spoke Pattern

graph TB
    Central[Hub]
    A[Spoke 1] --> Central
    B[Spoke 2] --> Central
    C[Spoke 3] --> Central

Quality Checklist

Before outputting, verify:

  • No "number. space" patterns in any node text
  • All subgraphs use proper ID syntax
  • All arrows use correct syntax (-->, -.->)
  • Colors applied consistently
  • Layout direction specified
  • Style declarations present
  • No ambiguous node references
  • Compatible with Obsidian/GitHub renderers

References

For detailed syntax rules and troubleshooting, see:

Related Skills

Team Composition Analysis

This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and headcount planning for a startup.

artdesign

Startup Financial Modeling

This skill should be used when the user asks to "create financial projections", "build a financial model", "forecast revenue", "calculate burn rate", "estimate runway", "model cash flow", or requests 3-5 year financial planning for a startup.

art

Dbt Transformation Patterns

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

testingdocumenttool

Startup Metrics Framework

This skill should be used when the user asks about "key startup metrics", "SaaS metrics", "CAC and LTV", "unit economics", "burn multiple", "rule of 40", "marketplace metrics", or requests guidance on tracking and optimizing business performance metrics.

art

Market Sizing Analysis

This skill should be used when the user asks to "calculate TAM", "determine SAM", "estimate SOM", "size the market", "calculate market opportunity", "what's the total addressable market", or requests market sizing analysis for a startup or business opportunity.

art

Clinical Decision Support

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug develo

developmentdocumentcli

Anndata

This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.

arttooldata

Geopandas

Python library for working with geospatial vector data including shapefiles, GeoJSON, and GeoPackage files. Use when working with geographic data for spatial analysis, geometric operations, coordinate transformations, spatial joins, overlay operations, choropleth mapping, or any task involving reading/writing/analyzing vector geographic data. Supports PostGIS databases, interactive maps, and integration with matplotlib/folium/cartopy. Use for tasks like buffer analysis, spatial joins between dat

artdatacli

Market Research Reports

Generate comprehensive market research reports (50+ pages) in the style of top consulting firms (McKinsey, BCG, Gartner). Features professional LaTeX formatting, extensive visual generation with scientific-schematics and generate-image, deep integration with research-lookup for data gathering, and multi-framework strategic analysis including Porter's Five Forces, PESTLE, SWOT, TAM/SAM/SOM, and BCG Matrix.

artdata

Plotly

Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).

artdata

Skill Information

Category:Creative
Last Updated:1/10/2026