Creates matplotlib figures, animations, and plotly interactive plots for fluidpy teaching notebooks.
npx skills add https://github.com/shammun/fluidpy --skill python-viz-shammun
Please help me install this Agent Skill. Skill: python-viz Source: https://github.com/shammun/fluidpy/tree/main/.claude/skills/python-viz Command: npx skills add https://github.com/shammun/fluidpy --skill python-viz-shammun
fluidpy.core.style (setup_notebook, use_style, savefig), fluidpy.core.anim (animate, show_animation), and fluidpy.core.interact (slider_figure, animate_figure, live). - Budgets and lessons: Size limits (page < 15 MB, animation < 6 MB, ≤ 120 frames, dpi 80) plus a dated lessons log of past review findings. - Use Case: When writing a notebook cell showing how wave phase speed changes with water depth, use slider_figure with precomputed slider positions so the interactive plot survives publication to the static site. ## Quick Start Ask the AI to add a plotly slider figure showing how wave phase speed varies with water depth using the fluidpy interact helpers.High-intent search queries and answers about installing and using this skill.
Use plotly slider_figure or animate_figure from fluidpy.core.interact, which precompute every slider position so no kernel is needed. ipywidgets only work with a live kernel, so pair any live widget with a static or slider figure for the published page.
Use a matplotlib animation with show_animation when something evolves continuously in time, like a diffusing profile or moving particles. Use a plotly slider_figure when the reader should explore how a curve changes with one parameter, since every slider position is precomputed.
ipywidgets require a live kernel, so they work in Jupyter and Colab sessions but freeze on the exported static page. The fluidpy convention replaces them with a run-in-Colab note, so never make a live widget the only way to see an idea.
Keep animations under 6 MB with at most 120 frames at dpi 80, the whole page under 15 MB, and the full notebook runtime under 5 minutes using the FAST flag. Plotly figures should stay within 40 slider steps, 4 traces, and 400 points.
The usual cause is autoscaling axes per frame instead of fixing axis limits upfront. Draw the first frame once, update only data in the update function, and keep fixed limits so the animation stays stable.
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