# Data Visualization

> Create effective data visualizations with matplotlib, seaborn, and plotly. Use when building charts, dashboards, or communicating data insights visually.

- **Type:** Skill
- **Install:** `agentstack add skill-ihatesea69-kiro-kit-data-visualization`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [ihatesea69](https://agentstack.voostack.com/s/ihatesea69)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [ihatesea69](https://github.com/ihatesea69)
- **Source:** https://github.com/ihatesea69/kiro-kit/tree/main/.kiro/skills/data-visualization
- **Website:** https://www.npmjs.com/package/kiro-kit

## Install

```sh
agentstack add skill-ihatesea69-kiro-kit-data-visualization
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Data Visualization

Activate this skill when creating charts, plots, or visual data presentations.

## When to Use

- Creating exploratory data analysis plots
- Building publication-quality figures
- Designing interactive dashboards
- Communicating model results visually
- Comparing distributions and relationships

## Libraries

- **matplotlib**: Foundation, full control
- **seaborn**: Statistical visualization, clean defaults
- **plotly**: Interactive charts, dashboards
- **altair**: Declarative, grammar of graphics

## Patterns

```python
import matplotlib.pyplot as plt
import seaborn as sns

fig, axes = plt.subplots(1, 2, figsize=(12, 5))
sns.histplot(data=df, x="value", hue="category", ax=axes[0])
sns.scatterplot(data=df, x="feature_1", y="target", ax=axes[1])
plt.tight_layout()
plt.savefig("analysis.png", dpi=150, bbox_inches="tight")
```

## Rules

- Always label axes and add titles
- Use colorblind-friendly palettes
- Choose chart type based on data relationship
- Keep visualizations simple and focused
- Save figures at appropriate resolution (150+ DPI)
- Include units in axis labels

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [ihatesea69](https://github.com/ihatesea69)
- **Source:** [ihatesea69/kiro-kit](https://github.com/ihatesea69/kiro-kit)
- **License:** MIT
- **Homepage:** https://www.npmjs.com/package/kiro-kit

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-ihatesea69-kiro-kit-data-visualization
- Seller: https://agentstack.voostack.com/s/ihatesea69
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.