figure-review
FeaturedAudit a scientific figure for publication-readiness: colormaps, uncertainty, axis labels, caption completeness, and claim support. Panel-aware — judges one panel of a composite against what its shared caption and sibling panels supply, and raises a likely-deliberate choice as `by-design?` instead of a defect. Use this whenever the user shares or references a figure, plot, panel, or colorbar for a paper, report, or brief and wants it checked, reviewed, or made publication-ready — even if they just say "does this figure work?" or "review my plot." Emits a per-criterion report and archives it to .ai/reviews/; never silently rewrites plotting code.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- dgilford
- Repository
- dgilford/ai-science-toolkit
- Created
- 3 months ago
- Last Updated
- 3 weeks ago
- Language
- Shell
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
figure-critic
Critique astronomy figures for clarity, accessibility, correctness, and publication readiness.
figure-rhetoric
Evaluate whether figures and plots in a manuscript effectively communicate the claims they support. Audits chart-type fit, axis design, visual hierarchy, data density, caption interpretation, perceptual accuracy, and narrative arc across 8 dimensions. Triggers on: "do my figures work", "check my plots", "are my graphs clear", "figure audit", "do my figures support my claims", "visualization review", "figure rhetoric", "plot review", "chart critique", "visual argument check". Companion to manuscript-review §12 (legibility) and figure-table-quality (rendering).
figure-style
Publication-grade figure correctness and legibility rules for final-deliverable figures — not every plot. Quick look or iterating on the analysis (EDA scatters, sanity-check histograms)? Plot plainly without this skill. Producing a figure that ships — report, paper, export, or a file you keep — load this skill first and call `apply_figure_style()` — sets a role-mapped font-size ladder, outward ticks, frameless legends, and 300-dpi output. The skill is a checklist, not a house look: data fidelity (claim-titles tested against every row, excluded data never enters summaries), label economy (floor and ceiling), colour threading, chart-choice-by-data-shape, layout, and a render-then-verify QA loop (bbox collision + per-panel perceptual check). Ships helpers: focal_palette, bar_with_points, strip_with_median, end_of_line_labels, panel_letter, set_frame, panel_crops. For multi-panel figures load `figure-composer`; for whole-paper figure arc load `paper-narrative`.