Diagram Drawing

Flowchart / Process

Top-to-bottom preferred. Diamond = decision, rounded rect = process, parallelogram = I/O.

Agent Architecture

5 layers: Input → Agent Core (LLM) → Memory → Tools → Output

• Show iterative reasoning with loop arcs (curved arrows)
• Separate memory read/write paths visually

Memory Architecture (Mem0-style)

• Show memory write path and read path separately
• Tiers: Working → Short-term → Long-term → External Store
• Operations: store(), retrieve(), forget(), consolidate()

Sequence Diagram

• Vertical lifelines (dashed lines)
• Horizontal arrows = messages, top-to-bottom time order
• Activation boxes (thin filled rects on lifeline)
• ViewBox height = 80 + (num_messages × 50)

Comparison Matrix

• Column headers = systems, row headers = attributes
• Checked: #dcfce7 fill + ✓; unsupported: #f9fafb fill

Mind Map

• Central node at cx=480, cy=280
• Curved bezier branches, not straight lines
• First-level: 360/N degrees apart

UML Diagrams

• Class: 3-compartment rect (name / attributes / methods)
• Use Case: Ellipse + stick figure actors
• State Machine: Rounded rects + transitions with guards
• ER: Rect entities + diamond relationships + cardinality

Shape Vocabulary

Arrow Semantics

Always include a legend when 2+ arrow types are used.

Workflow (Always Follow)

1. Classify diagram type
2. Extract structure — layers, nodes, edges, flows
3. Plan layout
4. Load style reference from references/styles.md for exact colors
5. Map nodes to shapes
6. Check references/icons.md for known products
7. Generate SVG
8. Validate: run python3 scripts/svg2png.py <file.svg> or rsvg-convert
9. Export PNG at 1920px width
10. Report output paths

SVG Generation Strategy

Estimate complexity:

• Count nodes: N, arrows: A
• Estimated SVG lines: L = 50 (header) + N×15 + A×3 + 20 (legend)

Generation method:

• L < 150: Write tool directly (single call, most reliable)
• L ≥ 150: Python script via exec tool (avoids heredoc issues)

Python method (recommended for complex SVGs):

python3 << 'EOF'
svg_content = '''<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 960 600">
...complete SVG here...
</svg>'''

with open('/path/to/output.svg', 'w') as f:
    f.write(svg_content)
print("Generated output.svg")
EOF

SVG Technical Rules

• ViewBox: 0 0 960 600 default; 0 0 960 800 tall; 0 0 1200 600 wide
• Fonts: <style>font-family: system-ui, Helvetica, sans-serif</style> — no external @import
• <defs>: arrow markers, gradients, filters, clip paths
• Text: minimum 12px, prefer 13-14px labels
• All arrows: <marker> with markerEnd, sized markerWidth="10" markerHeight="7"
• Drop shadows: <feDropShadow> sparingly
• Curved paths: M x1,y1 C cx1,cy1 cx2,cy2 x2,y2 cubic bezier

Built-in Patterns

RAG Pipeline: Query → Embed → VectorSearch → Retrieve → LLM → Response Agentic RAG: Query → Embed → VectorSearch → Agent loop (Tool use) → LLM → Response Agentic Search: Query → Planner → [Search / Calculator / Code] → Synthesizer → Response Mem0 Memory: Input → Memory Manager → [Write: VectorDB + GraphDB] → [Read: Retrieve+Rank] → Context Multi-Agent: Orchestrator → [SubAgent A / B / C] → Aggregator → Output Tool Call Flow: LLM → Tool Selector → Tool Execution → Parser → LLM (loop)

Error Recovery

Output

• Default: ./[derived-name].svg and ./[derived-name].png
• Custom: user specifies --output /path/

Styles

Load references/styles.md for exact color tokens and patterns.