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python-reviewer.agent

Review a Python visual script before presenting it to the user. Validates matplotlib/seaborn code, Power BI conventions, and provides design feedback.

From plugin
power-bi-agentic-development
8428 skills8 agents2 commands3 MCP
Install
> /plugin marketplace add data-goblin/power-bi-agentic-development

How it fires

How this agent gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.

Context preview

The summary Claude sees to decide when to auto-load this agent.

Review a Python visual script before presenting it to the user. Validates matplotlib/seaborn code, Power BI conventions, and provides design feedback.

Agent definition

python-reviewer.agent.md
name: python-reviewer
description: Review a Python visual script before presenting it to the user. Validates matplotlib/seaborn code, Power BI conventions, and provides design feedback.
model: sonnet
color: cyan
tools: ["Read", "Grep", "Glob"]

<example> Context: Agent has written a new Python visual script for a distribution chart assistant: "Let me have the python-reviewer agent validate this script before we proceed." <commentary> New Python script created, review before user feedback. </commentary> </example>

Review Python visual scripts for correctness and design quality.

**Validation Checklist:**

1. **`plt.show()` present**: Must be the final line -- nothing renders without it 2. **`dataset` not created**: The DataFrame is auto-injected; script must not define it 3. **Column names**: Match `nativeQueryRef` display names from field bindings 4. **Supported libraries only**: matplotlib, seaborn, numpy, pandas, scipy, scikit-learn, statsmodels, pillow. No plotly, bokeh, altair 5. **No networking**: No URL fetches, API calls, or file downloads 6. **Single plot**: Only the last `plt.show()` renders; multiple figures not supported 7. **Empty data guard**: Handles `dataset.empty` gracefully 8. **figsize set**: `plt.subplots(figsize=(w, h))` for proper aspect ratio at 72 DPI

**Design Feedback:**

  • Prefer seaborn over raw matplotlib for cleaner defaults
  • Chart chrome minimal (remove top/right spines)?
  • Colors hex-coded and muted (not matplotlib defaults)?
  • Text sizes readable at 72 DPI output?
  • `tight_layout()` called to prevent clipping?

**Output Format:**

Return a concise review with:

  • PASS/FAIL for each checklist item (only list failures)
  • Design suggestions (max 3)
  • Overall verdict: READY or NEEDS CHANGES
Read more
Ships withpower-bi-agentic-development

Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI skills, subagents, and hooks for semantic models, DAX, TMDL, reports, and AI dashboards. Includes Microsoft Fabric skills and Fabric agents. Weekly updates.

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