Create publication-quality figures, charts, and diagrams. Multi-backend: Graphviz, Mermaid, NetworkX/D3, matplotlib, plotly, seaborn. 50+ visualization types for any domain.
Scanned 2/12/2026
Install via CLI
openskills install majiayu000/claude-skill-registry---
name: create-figure
description: >
Create publication-quality figures, charts, and diagrams.
Multi-backend: Graphviz, Mermaid, NetworkX/D3, matplotlib, plotly, seaborn.
50+ visualization types for any domain.
allowed-tools: Bash, Read
triggers:
# General
- create figure
- create chart
- create diagram
- create plot
- generate figure
- make chart
- publication figure
- IEEE figure
# Architecture & Code
- architecture diagram
- dependency graph
- class diagram
- UML diagram
- module dependencies
- workflow diagram
- pipeline diagram
# Metrics & Data
- metrics visualization
- bar chart
- pie chart
- line chart
- heatmap
- correlation matrix
# Control Systems
- bode plot
- nyquist plot
- root locus
# ML/LLM
- confusion matrix
- ROC curve
- training curves
- scaling law
- attention heatmap
# Biology
- violin plot
- volcano plot
- survival curve
metadata:
short-description: "Create figures, charts, diagrams (50+ types)"
---
# create-figure
Generate publication-quality figures from code analysis data for academic papers.
## Quick Start for Agents
**Don't get overwhelmed by 50+ commands!** Use domain navigation:
```bash
# Step 1: Find your domain
create-figure domains
# Step 2: List commands for your domain
create-figure list --domain ml # ML/LLM projects
create-figure list --domain control # Aerospace/control systems
create-figure list --domain bio # Bioinformatics
# Step 3: Or get recommendations by data type
create-figure recommend --data-type classification
create-figure recommend --data-type time_series
create-figure recommend --show-types # See all data types
```
### Domain Quick Reference
| Domain | Use For | Key Commands |
|--------|---------|--------------|
| **core** | Any project | `metrics`, `workflow`, `architecture`, `deps` |
| **ml** | ML/LLM evaluation | `confusion-matrix`, `roc-curve`, `training-curves`, `scaling-law` |
| **control** | Aerospace, control systems | `bode`, `nyquist`, `rootlocus`, `state-space` |
| **field** | Nuclear, thermal, physics | `contour`, `vector-field`, `heatmap` |
| **project** | Scheduling, requirements | `gantt`, `pert`, `radar`, `sankey` |
| **math** | Pure mathematics | `3d-surface`, `complex-plane`, `phase-portrait` |
| **bio** | Bioinformatics, medical | `violin`, `volcano`, `survival-curve`, `manhattan` |
| **hierarchy** | Breakdowns, fault trees | `treemap`, `sunburst`, `force-graph` |
---
## Architecture
Multi-backend design for maximum compatibility:
| Backend | Use Case | Output Formats |
|---------|----------|----------------|
| **Graphviz** | Deterministic layouts, CI-friendly | PDF, PNG, SVG, DOT |
| **Mermaid** | Quick documentation, GitHub-compatible | PDF, PNG, SVG, MMD |
| **NetworkX** | Graph manipulation, D3 export | JSON, PDF, PNG |
| **matplotlib/seaborn** | Publication charts (IEEE settings) | PDF, PNG, SVG |
| **plotly** | Interactive Sankey, sunburst, treemap | PDF, PNG, HTML |
| **pydeps** | Python module dependencies | via Graphviz |
| **pyreverse** | UML class diagrams | via Graphviz |
## Common Commands
### `deps` - Dependency Graph
```bash
./run.sh deps --project /path/to/package --output deps.pdf
./run.sh deps -p ./src -o deps.svg --backend mermaid --depth 3
```
### `architecture` - Architecture Diagram
```bash
./run.sh architecture --project ./assess_output.json --output arch.pdf
```
### `metrics` - Metrics Chart
```bash
./run.sh metrics --input data.json --output metrics.pdf --type bar
./run.sh metrics -i data.json -o chart.pdf --type pie --title "Issue Distribution"
```
Chart types: `bar`, `hbar`, `pie`, `line`
### `workflow` - Workflow Diagram
```bash
./run.sh workflow --stages "Scope,Analysis,Search,Learn,Draft" --output workflow.pdf
```
### `confusion-matrix` - Confusion Matrix
```bash
./run.sh confusion-matrix --input results.json --output confusion.pdf --normalize
```
### `roc-curve` - ROC Curve
```bash
./run.sh roc-curve --input roc_data.json --output roc.pdf
```
### `bode` - Bode Plot
```bash
./run.sh bode --num 1,2 --den 1,3,2 --output bode.pdf
```
### `heatmap` - Heatmap
```bash
./run.sh heatmap --input matrix.json --output flux.pdf --cmap plasma
```
### `sankey` - Sankey Diagram
```bash
./run.sh sankey --input flows.json --output sankey.pdf
```
### `from-assess` - Generate All Figures
Generate all figures from /assess output in one command:
```bash
./run.sh from-assess --input assess_output.json --output-dir ./figures/
```
Generates:
- `architecture.pdf` - System architecture diagram
- `dependencies.pdf` - Module dependency graph
- `features.pdf` - Feature distribution chart
- `issues.pdf` - Issue severity pie chart
## Publication Quality Settings
matplotlib figures use IEEE publication settings:
- Font: 8pt Times New Roman (serif)
- DPI: 600 for saving, 300 for display
- Column widths: Single (3.5"), Double (7.16")
- TrueType fonts for Illustrator compatibility
## Dependencies
**Required:**
- Python 3.10+
- typer
- numpy
**Optional (enables features):**
| Package | Features Enabled |
|---------|------------------|
| matplotlib | All charts, plots, diagrams |
| seaborn | Heatmaps, publication styling |
| plotly | Sankey, sunburst, treemap, interactive |
| networkx | Force-directed graphs, PERT |
| scipy | Bode/Nyquist fallback, contours |
| control | Bode, Nyquist, root locus |
| graphviz | Dependency/architecture diagrams |
## Installation
```bash
# Core
pip install typer numpy matplotlib
# Full installation (all features)
pip install typer numpy matplotlib seaborn plotly networkx pandas squarify scipy control pydeps pylint
# System dependencies
apt install graphviz # Debian/Ubuntu
npm install -g @mermaid-js/mermaid-cli
```
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