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ClaudeWave
Skill4.6k repo starsupdated 3d ago

mermaid-visualizer

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.

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git clone --depth 1 https://github.com/breferrari/obsidian-mind /tmp/mermaid-visualizer && cp -r /tmp/mermaid-visualizer/.claude/skills/mermaid-visualizer ~/.claude/skills/mermaid-visualizer
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# 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](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
brag-spotterSubagent

Proactively scans for achievements and wins that aren't in the brag doc yet. Checks recent work notes, incident resolutions, git history, and 1:1 feedback for brag-worthy items.

context-loaderSubagent

Load all vault context about a specific topic — person, project, incident, team, or concept. Gathers notes, backlinks, mentions, timeline, and produces a synthesized briefing.

correction-sweepSubagent

Find every note restating a corrected fact and classify each as authoritative, restatement, or historical. Discovery and judgement only — never edits. Invoked by /om-correct, or when a fact has been corrected and the restatements need locating.

cross-linkerSubagent

Scan recent or specified notes for missing wikilinks. Finds mentions of people, projects, teams, competencies, and incidents that should be linked but aren't. Suggests missing bidirectional links for user approval.

people-profilerSubagent

Bulk create or update person notes from Slack profiles. Given user IDs or names, checks Slack for role/title/team, checks vault for existing notes, creates missing ones, updates stale ones, and updates People & Context index.

review-fact-checkerSubagent

Verify every factual claim in a review draft against vault sources. Returns verified/unverified/flagged claims.

review-prepSubagent

Aggregate performance review material from the vault for a given period. Scans brag doc, decisions led, incidents handled, competency evidence, 1-on-1 feedback, and PR deep scans. Invoke via /om-review-brief or when the user asks for review prep.

slack-archaeologistSubagent

Deep reconstruction of Slack conversations. Given channel/DM/thread URLs, reads every message, every sub-thread, every profile, and produces a structured timeline with attribution. Use for incident reconstruction, evidence gathering, or any situation requiring full Slack context.