chart-generation
Use this skill for generating data-driven charts and visualizations using Python.
Skill by michaelboeding
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/michaelboeding-chart-generation
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: presentations, design, data, marketing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/chart-generation
What's inside
- Skill name
chart-generation- Description
- Use this skill for generating data-driven charts and visualizations using Python. Triggers: "create chart", "generate graph", "plot data", "visualize data", "bar chart", "line chart", "pie chart", "comparison chart", "positioning matrix", "trend chart", "market size chart", "TAM SAM SOM", "growth chart", "data visualization" Outputs: PNG/SVG chart images with accurate data representation. Used by: competitive-intel-agent, market-researcher-agent, pitch-deck-agent, review-analyst-agent
- License
- MIT
- Instructions
- 273 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (7)
- SKILL.md
- bar_chart.py · scripts/
- comparison_table.py · scripts/
- line_chart.py · scripts/
- pie_chart.py · scripts/
- positioning_matrix.py · scripts/
- tam_sam_som.py · scripts/
SKILL.md (first lines)
# Chart Generation Skill
Generate accurate, data-driven charts and visualizations using Python (matplotlib/plotly).
**Use this for real data.** For concept art and illustrations, use `image-generation` instead.
## What It Produces
| Chart Type | Use Case | Script |
|------------|----------|--------|
| **Bar Chart** | Compare values across categories | `bar_chart.py` |
| **Line Chart** | Show trends over time | `line_chart.py` |
| **Pie Chart** | Show proportions/percentages | `pie_chart.py` |
| **Positioning Matrix** | 2x2 competitive positioning | `positioning_matrix.py` |
| **Comparison Table** | Feature comparison grid | `comparison_table.py` |
| **TAM/SAM/SOM** | Market size visualization | `tam_sam_som.py` |
## Prerequisites
```bash
pip install matplotlib numpy pillow
```
No API keys required - runs locally.
## When to Use This vs Image Generation
| Scenario | Use This | Use image-generation |
|----------|----------|---------------------|
| Real data from analysis | ✅ | ❌ |
| Accurate numbers/labels | ✅ | ❌ |
| Reproducible charts | ✅ | ❌ |
| Concept/mockup visuals | ❌ | ✅ |
| Artistic illustrations | ❌ | ✅ |
| Icons and graphics | ❌ | ✅ |
---
## Chart Types
### 1. Bar Chart
Compare values across categories.
```bash
python3 ${SKILL_PATH}/skills/chart-generation/scripts/bar_chart.py \
--labels '["Product A", "Product B", "Product C"]' \
--values '[85, 62, 45]' \
--title "Feature Comparison" \
--ylabel "Score" \
--output bar_chart.png
```
**Options:**
- `--horizontal` - Horizontal bars instead of vertical
- `--colors` - Custom colors: `'["#4CAF50", "#2196F3", "#FF9800"]'`
- `--show-values` - Display values on bars
---
### 2. Line Chart
Show trends over time or progression.
```bash
python3 ${SKILL_PATH}/skills/chart-generation/scripts/line_chart.py \
--x '["Jan", "Feb", "Mar", "Apr", "May", "Jun"]' \
--y '[100, 150, 180, 220, 310, 450]' \
--title "Monthly Revenue Growth" \
--xlabel "Month" \
--ylabel "Revenue ($K)" \
--output growth_chart.png
```
**Options:**
- `--multi` - Multiple lines: `--y '[[100,150,200], [80,120,180]]' --legend '["Product A", "Product B"]'`
- `--fill` - Fill area under line
- `--markers` - Show data point markers
---
### 3. Pie Chart
Show proportions and percentages.
```bash
python3 ${SKILL_PATH}/skills/chart-generation/scripts/pie_chart.py \
--labels '["Engineering", "Marketing", "Sales", "Operations"]' \
--values '[40, 25, 20, 15]' \
--title "Use of Funds" \
--output pie_chart.png
```
**Options:**
- `--donut` - Donut chart (hollow center)
- `--explode` - Explode a slice: `--explode 0` (first slice)
- `--show-percent` - Show percentages on slices
---
### 4. Positioning Matrix (2x2)
Competitive positioning on two axes.
```bash
python3 ${SKILL_PATH}/skills/chart-generation/scripts/positioning_matrix.py \
--companies '["Your Product", "Competitor A", "Competitor B", "Competitor C"]' \
--x-values '[70, 90, 50, 30]' \
--y-values '[80, 85, 60, 45]' \
--x-label "Price (Low → High)" \
--y-label "Features (Basic → Advanced)" \
--title "Competitive Positioning" \
--output positioning.png
```
**Options:**
- `--quadrant-labels` - Label quadrants: `'["Niche", "Leaders", "Laggards", "Challengers"]'`
- `--highlight` - Highlight your position: `--highlight 0`
- `--sizes` - Bubble sizes for market shareFrom michaelboeding/skills, MIT.
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Signals
- Stars
- 30
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- Sep 20, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/michaelboeding/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
chart-generation skill. Agent Mart. https://agentmart.dev/skills/michaelboeding-chart-generation (last updated 2026-10-24)