Python Visuals

Python Visuals is a Frontend skill for Claude Code, published by data-goblin in power-bi-agentic-development.

872 stars129 forkson data-goblin/power-bi-agentic-developmentAdded 2026/08/22+1% in starsRepository updated 2026/08/08

agentic-developmentagentsaiai-agentsbusiness-intelligenceclaudeclaude-codecopilotdaxfabricgithub-copilotmicrosoft-fabricpbippluginpower-bireportingsemantic-modelskillstmdl

Install in seconds

Install Python Visuals

Copy Python Visuals into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/data-goblin/power-bi-agentic-development/tree/main/plugins/custom-visuals/skills/python-visuals ~/.claude/skills/python-visuals

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/data-goblin/power-bi-agentic-development.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: plugins/custom-visuals/skills/python-visuals/SKILL.md in data-goblin/power-bi-agentic-development
Installs to: ~/.claude/skills/python-visuals
Collection: One of 25 skills cataloged from this repository
Category: Frontend — 567 skills

What Python Visuals does

Python Visuals creates static Power BI visuals from Python scripts using matplotlib or seaborn. Use it when you need a Python visual, a matplotlib chart, or a seaborn chart in a PBIR report.

Python Visuals is cataloged under Frontend on DirSkills. Python Visuals comes from a repository tagged agentic-development, agents, ai, ai-agents and business-intelligence.

Documentation

README

Excerpt

Python Visuals in Power BI (PBIR)

Use pbir for every report mutation. Read PBIR metadata only for diagnosis. If pbir is unavailable or lacks an operation, stop and report the gap; never edit report JSON directly.

Python visuals execute matplotlib/seaborn scripts to render static PNG images on the Power BI canvas. Prefer seaborn over raw matplotlib for cleaner syntax and better defaults -- it handles most chart types with less code.

Visual Identity

visualType: pythonVisual
Data role: Values (columns and measures, multiple allowed)
Data variable: dataset (pandas DataFrame, auto-injected)
Row limit: 150,000 rows
Output: Static PNG at 72 DPI -- no interactivity

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Python Visuals

What else does data-goblin publish alongside Python Visuals?
Python Visuals is one of 25 skills that DirSkills catalogs from data-goblin/power-bi-agentic-development, the repository it ships in. Its siblings there include Audit Tenant Settings, Connect To Power Bi Desktop and DAX. Each one is a separate skill with its own page in this directory, installs the same way Python Visuals does, and is maintained by data-goblin in that same repository. The rest of the collection is listed on the data-goblin/power-bi-agentic-development page.
How does Python Visuals compare to other Frontend skills?
Python Visuals ranks #372 by stars among the 567 Frontend skills in this catalog. The most-starred ones next to it are Angular Developer, Android Clean Architecture and Accessibility. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Python Visuals against them. Open each page to compare what they document and how they install.