Diagram Generator
by oimiragieo
Generates architecture, database, and system diagrams using Mermaid syntax. Creates visual representations of system architecture, database schemas, component relationships, and data flows.
Skill Details
Repository Files
6 files in this skill directory
name: diagram-generator description: Generates architecture, database, and system diagrams using Mermaid syntax. Creates visual representations of system architecture, database schemas, component relationships, and data flows. version: 1.0 model: sonnet invoked_by: both user_invocable: true tools: [Read, Write, Glob, Grep] best_practices:
- Use Mermaid syntax for diagrams
- Extract structure from code and documentation
- Create clear, readable diagrams
- Include relationships and dependencies
- Generate both high-level and detailed views error_handling: graceful streaming: supported templates: [architecture-diagram, database-diagram, component-diagram, sequence-diagram]
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>
- Use Mermaid: Standard syntax for compatibility
- Keep Clear: Simple, readable diagrams
- Show Relationships: Include all important connections
- Add Labels: Clear node and edge labels
- 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.
Related Skills
Xlsx
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
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Analyzing Financial Statements
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Data Storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Kpi Dashboard Design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
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.
Sql Optimization Patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
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.
Xlsx
Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.
