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Low-level Python plotting for scientific figures: publication-quality line, scatter, bar, heatmap, contour, 3D; multi-panel layouts; fine control of every element. PNG/PDF/SVG export. Use seaborn for quick stats, plotly for interactive.
matplotlib-scientific-plotting is an agent skill entry in ChatHome Skills, sourced from GitHub Skill Search and scored 58/100. # matplotlib ## Overview Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. It provides both a MATL. As an agent skill, it packages a reusable instruction set that AI coding agents such as Codex and Claude Code can load to perform this task without hand-written glue code. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding matplotlib-scientific-plotting to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
codex skill install gabrielmoreira/agent-skills-mirrorReview the upstream source before running this command.
Scan coverage: Install metadata and the indexed document body.
Automated signals from install metadata and a bounded skill body — not a full code security audit and not a recursive source or dependency review.
# matplotlib ## Overview Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. It provides both a MATLAB-style pyplot inte