diagram-generator

References (archive): SCAFFOLD_SKILLS_ARCHIVE_MAP.md — Mermaid/output patterns from claude-flow code-intelligence, everything-claude-code architect.

Processing Limits (Memory Safeguard)

Diagram generator can analyze large codebases. To prevent memory exhaustion:

• File chunk limit: 1000 files per diagram (HARD LIMIT)
• Each file: ~1-5 KB analysis overhead
• 1000 files × 2 KB = ~2 MB per diagram
• Keeps diagram generation memory-efficient

Why the limit?

• Analyzing 5000+ files → 10+ MB memory → context explosion
• Diagrams for 5000+ files → impossible to visualize
• Visual limit: ~100-200 nodes per diagram (human readable)

Recommend:

• 1000 files: OK, generates ~100-150 component nodes
• 2000 files: Consider splitting into 2 diagrams
• 5000+ files: MUST split into 5+ diagrams by module/subsystem

Step 1: Identify Diagram Type

Determine what type of diagram is needed:

• Architecture Diagram: System structure and components
• Database Diagram: Schema and relationships
• Component Diagram: Component interactions
• Sequence Diagram: Process flows
• Flowchart: Decision flows

Step 2: Extract Structure

Analyze code and documentation (Use Parallel Read/Grep/Glob):

• Read architecture documents
• Analyze component structure
• Extract database schema
• Identify relationships
• Understand data flows

Chunking Large Codebases

If codebase has >1000 files:

Option 1: Split by subsystem

// Generate diagram for each major subsystem
generateDiagram({ files: 'src/auth/**', title: 'Authentication Module' });
generateDiagram({ files: 'src/api/**', title: 'API Module' });
generateDiagram({ files: 'src/ui/**', title: 'UI Module' });

Option 2: Split by layer

generateDiagram({ files: 'src/models/**', title: 'Data Models' });
generateDiagram({ files: 'src/services/**', title: 'Business Logic' });
generateDiagram({ files: 'src/controllers/**', title: 'API Controllers' });

Option 3: Generate overview first, then details

// 1. High-level architecture (10-20 files)
generateDiagram({ files: ["src/index.ts", "src/app.ts", ...], title: "Architecture" });
// 2. Detailed subsystems (500-1000 files each)
generateDiagram({ files: "src/auth/**", title: "Authentication Details" });

Step 3: Generate Mermaid Diagram

Create diagram using Mermaid syntax:

• Use appropriate diagram type
• Define nodes and relationships
• Add labels and descriptions
• Include styling if needed

Step 4: Embed in Documentation

Embed diagram in markdown:

• Use mermaid code blocks
• Add diagram description
• Reference in documentation

Timeout Management

• Default timeout: 30 seconds per diagram
• 1000 files analysis: ~20 seconds (OK)
• 2000 files analysis: ~40 seconds (EXCEEDS TIMEOUT)
• If approaching timeout: Reduce file count or increase timeout

Pattern for large codebases:

• Split into 6-8 focused diagrams
• Each <1000 files, <30 seconds
• Total analysis time: 3-4 minutes

</execution_process>

Integration with Database Architect Agent:

• Generates database schema diagrams
• Documents table relationships
• Visualizes data models

Integration with Technical Writer Agent:

• Embeds diagrams in documentation
• Creates visual documentation
• Enhances documentation clarity

<best_practices>

1. Use Mermaid: Standard syntax for compatibility
2. Keep Clear: Simple, readable diagrams
3. Show Relationships: Include all important connections
4. Add Labels: Clear node and edge labels
5. Update Regularly: Keep diagrams current with code </best_practices>

graph TB
    Client[Client Application]
    API[API Gateway]
    Auth[Auth Service]
    User[User Service]
    DB[(Database)]

    Client --> API
    API --> Auth
    API --> User
    User --> DB
    Auth --> DB

</code_example>

<code_example> Database Schema Diagram

erDiagram
    USERS ||--o{ ORDERS : places
    USERS {
        uuid id PK
        string email
        string name
    }
    ORDERS ||--|{ ORDER_ITEMS : contains
    ORDERS {
        uuid id PK
        uuid user_id FK
        date created_at
    }
    ORDER_ITEMS {
        uuid id PK
        uuid order_id FK
        uuid product_id FK
        int quantity
    }

</code_example>

<code_example> Component Diagram

graph LR
    A[Component A] --> B[Component B]
    A --> C[Component C]
    B --> D[Component D]
    C --> D

</code_example>

<code_example> Sequence Diagram

sequenceDiagram
    participant User
    participant API
    participant Auth
    participant DB

    User->>API: Login Request
    API->>Auth: Validate Credentials
    Auth->>DB: Query User
    DB-->>Auth: User Data
    Auth-->>API: JWT Token
    API-->>User: Auth Response

</code_example>

# Generate architecture diagram
node .claude/tools/diagram-generator/scripts/generate.mjs --type architecture "authentication system"

# Generate database schema diagram
node .claude/tools/diagram-generator/scripts/generate.mjs --type database "user management module"

# Generate component diagram
node .claude/tools/diagram-generator/scripts/generate.mjs --type component "API service relationships"

# Generate sequence diagram
node .claude/tools/diagram-generator/scripts/generate.mjs --type sequence "user login flow"

</usage_example>

Memory Protocol (MANDATORY)

Before starting: Read .claude/context/memory/learnings.md

After completing:

• New pattern -> .claude/context/memory/learnings.md
• Issue found -> .claude/context/memory/issues.md
• Decision made -> .claude/context/memory/decisions.md

ASSUME INTERRUPTION: If it’s not in memory, it didn’t happen.