mcpbeat Sign in

Mermaid Diagram Agent Skill

Generate Mermaid diagrams from user requirements. Save .mmd and .md files to figures/ with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and many more diagram types.

3k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
14221
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/wanshuiyin/Auto-claude-code-research-in-sleep --skill mermaid-diagram

The instruction itself

35 sections, as written by the author

Mermaid Diagram Generator

Generate high-quality Mermaid diagram code based on user requirements, with file output and verification.

Constants

  • OUTPUT_DIR = figures/ — Output directory for generated files
  • MAX_ITERATIONS = 3 — Maximum refinement rounds for syntax or layout issues

Workflow: MUST EXECUTE ALL STEPS

Step 0: Pre-flight Check

Create output directory

mkdir -p figures

Step 1: Understand Requirements & Select Diagram Type

Parse the input: $ARGUMENTS

  • Analyze the request and choose the most suitable diagram type
  • Read the corresponding Mermaid syntax reference below
  • If the diagram involves mathematical notation, apply the math syntax rules from the Math Formulas in Diagrams section
  • Identify all components, connections, and data flow
  • Plan the diagram structure before writing code

Step 2: Read Documentation

Select the appropriate diagram type. Use built-in Mermaid knowledge first; if external documentation is needed and your environment provides it, fetch the up-to-date syntax reference.

Configuration & Themes

Choose theme, colors, and layout before writing code. For academic diagrams, prefer clean white backgrounds, restrained colors, and readable labels over decorative styling.

| Type | Use Cases |

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

| Flowchart | Processes, decisions, steps |

| Sequence Diagram | Interactions, messaging, API calls |

| Class Diagram | Class structure, inheritance, associations |

| State Diagram | State machines, state transitions |

| ER Diagram | Database design, entity relationships |

| Gantt Chart | Project planning, timelines |

| Pie Chart | Proportions, distributions |

| Mindmap | Hierarchical structures, knowledge graphs |

| Timeline | Historical events, milestones |

| Git Graph | Branches, merges, versions |

| Quadrant Chart | Four-quadrant analysis |

| Requirement Diagram | Requirements traceability |

| C4 Diagram | System architecture |

| Sankey Diagram | Flow, conversions |

| XY Chart | Line charts, bar charts |

| Block Diagram | System components, modules |

| Packet Diagram | Network protocols, data structures |

| Kanban | Task management, workflows |

| Architecture Diagram | System architecture |

| Radar Chart | Multi-dimensional comparison |

| Treemap | Hierarchical data visualization |

| User Journey | User experience flows |

| ZenUML | Sequence diagrams (code style) |

Step 3: Generate Mermaid Code & Save Files

Generate the Mermaid code and save two files:

File 1: figures/<diagram-name>.mmd — Raw Mermaid source

The .mmd file contains only raw Mermaid code, no markdown fences.

File 2: figures/<diagram-name>.md — Markdown with embedded Mermaid

The .md file wraps the same Mermaid code in a mermaid code block for preview rendering, plus a short title and description.

Diagram Title

Use a concise title in the .md wrapper that matches the generated diagram name.

Naming convention: use a descriptive kebab-case name derived from the request, such as auth-flow, system-architecture, or database-er.

Step 4: Verify Mermaid Syntax (MANDATORY)

Codex MUST verify the generated Mermaid code by running the Mermaid CLI (mmdc).

Check if mermaid-cli is available

if command -v mmdc >/dev/null 2>&1; then
    mmdc -i figures/<diagram-name>.mmd -o figures/<diagram-name>.png -b transparent
    echo "Syntax valid — PNG rendered to figures/<diagram-name>.png"
else
    npx -y @mermaid-js/mermaid-cli@latest -i figures/<diagram-name>.mmd -o figures/<diagram-name>.png -b transparent
    echo "Syntax valid — PNG rendered to figures/<diagram-name>.png"
fi

If verification fails:

  • Read the error carefully
  • Fix the syntax issue in both .mmd and .md
  • Re-run verification
  • Repeat up to MAX_ITERATIONS

Step 5: Codex STRICT Visual Review & Scoring (MANDATORY)

After successful rendering, Codex MUST read the generated PNG and perform a strict review:

## Codex's STRICT Review of <diagram-name>

### What I See
[Describe the rendered diagram in detail]

### Files Generated
- `figures/<diagram-name>.mmd`
- `figures/<diagram-name>.md`
- `figures/<diagram-name>.png`

### ═══════════════════════════════════════════════════════════════
### STRICT VERIFICATION CHECKLIST (ALL must pass for score ≥ 9)
### ═══════════════════════════════════════════════════════════════

#### A. File Correctness
- [ ] `.mmd` contains valid Mermaid syntax
- [ ] `.md` wraps the Mermaid code in ```mermaid fences
- [ ] `.mmd` and `.md` contain identical Mermaid code
- [ ] Diagram renders without errors

ASCII alias for automated checks: score >= 9.

#### B. Arrow Correctness Verification (CRITICAL - any failure = score ≤ 6)
ASCII alias for automated checks: CRITICAL - any failure = score <= 6.

- [ ] Every arrow points to the correct target

#### C. Block Content Verification (any failure = score ≤ 7)
ASCII alias for automated checks: any failure = score <= 7.

- [ ] Every block label is correct
- [ ] Every block contains the intended content

#### D. Completeness
- [ ] All required components are present
- [ ] All required connections are present
- [ ] Labels are meaningful and match the request

#### E. Visual Quality
- [ ] Layout is clean and readable
- [ ] Colors are professional
- [ ] Text is readable at normal zoom
- [ ] Spacing is balanced
- [ ] Data flow is understandable within 5 seconds

### ═══════════════════════════════════════════════════════════════
### Issues Found (BE SPECIFIC)
1. [issue] -> [fix]

### Score: X/10

### Score Breakdown Guide:
- 10: correct, readable, publication-ready
- 9: minor polish only
- 8: usable but one visual/layout weakness remains
- 7: one content or block-label weakness remains
- 6 or below: arrow direction, missing component, syntax, or semantic error

### Verdict
- [ ] ACCEPT
- [ ] FIX

If the verdict is FIX, apply corrections to both .mmd and .md, re-render, and re-review until ACCEPT or MAX_ITERATIONS is reached.

Step 6: Final Output Summary

When accepted, present:

Mermaid diagram generated successfully.

Files:
  figures/<diagram-name>.mmd
  figures/<diagram-name>.md
  figures/<diagram-name>.png

To re-render manually:
  mmdc -i figures/<diagram-name>.mmd -o figures/<diagram-name>.png

Architecture Diagram Best Practices

When generating architecture-beta diagrams, apply these layout techniques for complex diagrams:

Use Junctions for Layout Control

Think of the diagram as an invisible grid. Use junction nodes as virtual anchor points on that grid to precisely control placement. This is especially useful when a direct edge produces unexpected positioning.

Instead of connecting services directly:

lb:R --> L:scim
lb:R --> L:webapi

Route through junctions:

junction j_lb_r
lb:R -- L:j_lb_r
junction j_scim_l
j_lb_r:T -- B:j_scim_l
j_scim_l:R --> L:scim
junction j_webapi_l
j_lb_r:B -- T:j_webapi_l
j_webapi_l:R --> L:webapi

Use Edges out of Groups for Floating Components

For services that have no real logical connection but still need stable placement, use a junction combined with {group} to anchor them without inventing a semantic edge.

CVPR/ICLR/NeurIPS Style Guide (for Academic Diagrams)

When the diagram is intended for academic papers, apply these style standards:

Visual Standards

  • Clean white background
  • Sans-serif fonts
  • Subtle coordinated color palette
  • Print-friendly grayscale readability
  • Thin professional borders

Layout Standards

  • Horizontal flow for pipelines
  • Clear grouping
  • Consistent sizing
  • Balanced whitespace

Arrow Standards (MOST CRITICAL)

  • Thick strokes
  • Clear arrowheads
  • Dark colors
  • Labeled arrows
  • No crossings
  • Correct direction

Color Palette (Academic Professional)

  • Inputs: Green (#10B981 / #34D399)
  • Encoders: Blue (#2563EB / #3B82F6)
  • Fusion: Purple (#7C3AED / #8B5CF6)
  • Outputs: Orange (#EA580C / #F97316)
  • Arrows: Dark gray (#333333 / #1F2937)
  • Background: White (#FFFFFF)

What to AVOID

  • Rainbow color schemes
  • Thin hairline arrows
  • Heavy shadows or glow effects
  • 3D effects
  • Decorative icons that add no meaning
  • Tiny unreadable text

Math Formulas in Diagrams (KaTeX)

Mermaid supports rendering mathematical expressions via KaTeX. When the diagram content involves formulas, equations, Greek letters, subscripts, superscripts, fractions, or matrices, use KaTeX notation instead of plain-text approximations.

Supported Diagram Types for Math

Math rendering with $$...$$ is supported in:

  • Flowcharts — in node labels and edge labels
  • Sequence Diagrams — in participant aliases, messages, and notes

Syntax Rules

  • Wrap math expressions in $$ inside quoted strings:
   A["$$x^2$$"] -->|"$$\\sqrt{x+3}$$"| B("$$\\frac{1}{2}$$")
  • Node labels with math must be quoted
  • Mix text and math by placing $$ only around the math portion
  • Use \text{} for non-math text inside $$

Common Math Patterns for ML/Science Diagrams

| Concept | KaTeX Syntax |

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

| Subscript | $$W_Q$$ |

| Superscript | $$x^2$$ |

| Fraction | $$\\frac{QK^T}{\\sqrt{d_k}}$$ |

| Greek letters | $$\\alpha, \\beta, \\gamma$$ |

| Square root | $$\\sqrt{d_k}$$ |

| Summation | $$\\sum_{i=1}^{n} x_i$$ |

| Matrix | $$\\begin{bmatrix} a & b \\\\ c & d \\end{bmatrix}$$ |

| Softmax | $$\\text{softmax}(z_i)$$ |

| Norm | $$\\|\\|x\\|\\|_2$$ |

| Hat/tilde | $$\\hat{y}, \\tilde{x}$$ |

Example: Attention Mechanism with Math

flowchart TD
    Q["$$Q \\in \\mathbb{R}^{n \\times d_k}$$"]
    K["$$K \\in \\mathbb{R}^{n \\times d_k}$$"]
    V["$$V \\in \\mathbb{R}^{n \\times d_v}$$"]
    scores["$$\\frac{QK^T}{\\sqrt{d_k}}$$"]
    softmax["$$\\text{softmax}(\\cdot)$$"]
    output["$$\\text{Attention}(Q,K,V)$$"]

    Q --> scores
    K --> scores
    scores --> softmax
    softmax --> weighted["$$\\alpha V$$"]
    V --> weighted
    weighted --> output

When to Use Math vs Plain Text

  • Use math when the diagram is for academic or technical audiences and precision matters
  • Use plain text when the diagram is for general audiences or math would add clutter
  • Default to KaTeX automatically if the request already contains math notation

Gotchas

  • $$ delimiters must be inside quoted strings
  • Very long formulas may overflow node boxes
  • Always verify rendering with mmdc

Code Quality Rules

Generated Mermaid code MUST:

  • Have correct syntax that renders directly
  • Have clear structure with proper indentation
  • Use semantic node naming, not A, B, C
  • Include styling when needed
  • Use <br/> for line breaks inside node labels, never \n
  • Avoid special characters that break Mermaid parsing unless properly quoted

Output Structure

figures/
├── <diagram-name>.mmd
├── <diagram-name>.md
└── <diagram-name>.png

Key Rules (MUST FOLLOW)

  • Always save files to figures/
  • Always generate both .mmd and .md
  • Always read the relevant syntax guidance before generating code
  • Always verify syntax before accepting
  • Always review the rendered PNG
  • Never accept score < 9
  • Verify every arrow direction
  • Verify every block content
  • Be specific in feedback

10. Fix errors before accepting

11. Use descriptive kebab-case file names


User requirements: $ARGUMENTS

Other skills for the same job

different authors, same section of the catalogue
XLSX
by anthropics
vendor ×15

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

5k tokens scripts
XLSX
by w95
×7

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

3k tokens
Raffle Winner Picker
by frostant
×5

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

949 tokens
Fda Database
by christophacham
×4

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

32k tokens scripts
Matlab
by christophacham
×4

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

25k tokens
Umap Learn
by ComeOnOliver
×4

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

14k tokens
D3 Viz
by chrisvoncsefalvay
×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

20k tokens
Alphafold Database
by christophacham
×3

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

7k tokens

How to use it

Copy the folder

Take wanshuiyin/auto-claude-code-research-in-sleep-mermaid-diagram 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 npx. Without those the skill loads but fails at the first command.