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visualization

Visualization patterns and solutions: matplotlib, seaborn, financial signal and volatility charts, time-series decomposition and forecast plots, anomaly…

Skill by mabrosim

IndexedMIT
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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/mabrosim-visualization

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

Visualization patterns and solutions: matplotlib, seaborn, financial signal and volatility charts, time-series decomposition and forecast plots, anomaly flagging and anomaly plots, statistical charts, Spark-to-pandas plotting, and report output (saved figures, HTML KPI cards, profiling reports). Load when generating, reviewing, or refactoring visualization or charting code.

Use cases: documents, frontend, data, finance

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/visualization

What's inside

Skill name
visualization
Description
Visualization patterns and solutions: matplotlib, seaborn, financial signal and volatility charts, time-series decomposition and forecast plots, anomaly flagging and anomaly plots, statistical charts, Spark-to-pandas plotting, and report output (saved figures, HTML KPI cards, profiling reports). Load when generating, reviewing, or refactoring visualization or charting code.
License
MIT
Instructions
14 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Visualization

Patterns and solutions for data visualization with matplotlib and seaborn:
financial and statistical charts, time-series decomposition and forecast plots,
and report output on Databricks.

## Load Patterns and Solutions

Read the following files for named, ready-to-use implementations with when/replaces/gotchas:

- `../../catalogs/visualization-patterns.md`
- `../../catalogs/visualization-solutions.md`

From mabrosim/aet-content-pack, MIT.

More from mabrosim/aet-content-pack

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Last commit (this folder)
Oct 12, 2026 (16 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from mabrosim

Cite this page

visualization skill. Agent Mart. https://agentmart.dev/skills/mabrosim-visualization (last updated 2026-10-24)