Figure Style
Publication-grade figure correctness and legibility rules.
Install
npx skills add HughYau/AcademicForge --skill figure-style -g -a claude-code -y- Repository
- HughYau/AcademicForge2.6k
- Category
- Testing
- Updated
- 2mo ago
- License
- Apache-2.0
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
Publication-grade figure correctness and legibility rules. Load before drawing any plot 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`.
Publication-Grade Figure Rules
A checklist for correct, legible, internally-consistent scientific figures. This
skill does not impose a visual house style, frame, font, and palette are
parameters. Load it and call apply_figure_style() before any plot.
§0 Scope
§1, §3, §8, and §9 are correctness, they apply to every plot, in every
context, and have no aesthetic content. §4, §7 are guidance, defaults that
produce a clean result but that a deliberate alternative can override
(individual rules inside §4, §7 that state a factual/perceptual invariant, e.g.
§4.4 semantic-zero centring, §4.5 CVD, §6.9 leader anchoring, still bind). On
its own, this skill is the inner tier (make one plot good); figure-composer
and paper-narrative supply multi-panel and whole-paper context.
§1 Data fidelity & self-consistency
1.1 Excluded rows. A row marked excluded or flagged in the source data is either omitted entirely or drawn with a visually distinct open/hatched marker and named in the key. It never enters a summary statistic plotted alongside the included rows.
1.2 Comparable conditions only. Arms measured under non-comparable conditions (different N, epoch budget, initialisation, protocol) are not plotted as visual peers. Separate them with a facet break or a marker on the label, and state the difference once in the caption.
1.3 Self-consistency. Every key, threshold, and title inside the figure must be satisfied by every plotted row. Before saving, walk each categorical outcome label back to the rule that defines it; if a row's value contradicts its label or the title, the figure is wrong, not the data.
1.4 Claim-titles must be true. A sentence-title (§5.1) is tested against every category on the axis before rendering. If any contradicts it, qualify the title ("on 3 of 4 pairs") or downgrade it to a description.
