from medical-research-skills349
Interactive Python visualization skill for building hoverable, zoomable, and embeddable charts (Plotly Express + Graph Objects) for EDA, dashboards, and present
Provides a documentation-first skill for creating interactive Plotly visualizations in Python. Covers both Plotly Express (px) for concise charts and Graph Objects (go) for fine-grained control. Includes guidance for subplots, interactivity (hover, selection, range sliders), export (HTML and static images via Kaleido), and practical example scripts for end-to-end workflows.
Use this skill when you need shareable, interactive charts: exploratory data analysis with hover/selection, dashboards and web embedding, time-series monitoring with range sliders, or presentation-ready interactive figures where stakeholders can inspect details. Prefer it when reproducible, checklist-driven outputs are required.
Inferred compatibility: Python-capable agent runtimes and agents that can run bundled scripts (e.g., Codex/Code agents, Copilot-style runners).
Plotly skill provides interactive Python visualization guidance using Plotly Express and Graph Objects. No packaged scripts — instruction-only workflow with reference docs. SKILL.md is well-structured with clear sections on API choice, interactivity, export, and validation. The example code is clean and runnable. Security is clean with no concerning patterns.
Well-documented skill with proper frontmatter and references/ directory. Source_path in DB was 'scientific-skills/Others/plotly/SKILL.md' but actual GitHub path is 'scientific-skills/Other/plotly/SKILL.md' (Other vs Others). Skill is purely instructional with no executable scripts.
