Metadata

name: academic-figures
description: Publication-ready scientific figures from one command — 33 chart types (bar, slope, volcano, ridgeline, dumbbell, grouped bar, scatter, heatmap, forest plot (incl. Cox), KM survival curve with risk table, ROC, calibration curve, decision curve (DCA), nomogram, violin, box, composite panels, PRISMA 2020 flow, funnel, Bland-Altman, PCA, venn 2-4 sets, upset set intersections (5+ sets), oncology waterfall (RECIST), raincloud (cloud+box+rain trio), clinical swimmer (milestones+arrows), clustered heatmap, dual-axis), 9 themes incl. colorblind-safe Okabe-Ito + NEJM/Lancet/Science palettes, 9 journal presets, YAML figure pipeline, one-run TIFF/PNG/PDF, Python API, --wizard, render watchdog, PDF overlap gate, 600dpi. 100% local, data never leaves the machine. Use for — paper/submission figures, turning data files into publication charts, batch re-rendering. Skip when — text polishing, translation or rewriting (writing tools); business dashboards or slide/poster decoration; diagrams with no data behind them.
when_to_use: Use when making or generating any figure or chart from data (bar chart, scatter plot, heatmap, forest plot, Kaplan-Meier / survival curve, ROC curve, violin / box plot, composite multi-panel figure, flow diagram, PRISMA / systematic review flow, meta-analysis funnel, venn / Euler diagram, PCA, Bland-Altman; when exporting publication- or journal-ready figures (600dpi, colorblind-safe); or when turning a JSON/CSV/Excel data file into an academic figure.

Academic Figures — Publication-Quality Chart Generator

Generate figures from JSON/CSV/Excel data. Local execution, no data leaves the machine.

⚡ Top-3 boundaries: add --verify for submission PDFs (PDF only); --journal locks the figure width (--width is ignored); cluster_heatmap >3000 rows auto-downsamples to 2000.

One command, verified output:

python3 scripts/gen_figure.py -t bar -d data.json -o fig.pdf --theme okabe-ito --verify
# 或一键投稿包（自动加 --verify + 色盲安全主题 + pdf,png 多格式，v3.8）
python3 scripts/gen_figure.py -t bar -d data.json -o fig --pub-ready
# exit codes: see "Data Validation & Exit Codes" below; --verify overlap = exit 2 (fix, don't ship)

Section Nav

Quick Start ｜ Chart Types ｜ Decision Tree ｜ Capabilities & Boundaries ｜ Color Themes ｜ Journal Presets ｜ --stats ｜ Templates ｜ Validation & Exit Codes ｜ CJK ｜ Output Formats ｜ Data Input ｜ Key Flags ｜ Alt Text ｜ Related tools ｜ Safety ｜ Negative Triggers ｜ File Index ｜ Version History ｜ Pro

Quick Start

# 0️⃣ First run: one-command environment setup (deps/CJK font/font cache/self-check)
python3 scripts/setup_env.py

# 0️⃣ Three ways to get unstuck: wizard / interactive demo / per-type usage
python3 scripts/gen_figure.py --wizard            # 4 questions -> a ready command
python3 scripts/gen_figure.py --quick -d data.csv # v3.1 one-command figure: auto-pick + render
python3 scripts/gen_figure.py -t line -d series.json -o fig.png --direct-label  # v3.4 label series at line ends (default under glm-brand/nature-clean)
python3 scripts/gen_figure.py --demo --cjk        # pick a type, renders sample data
python3 scripts/gen_figure.py --explain bar       # one type's usage & limits
# 0️⃣ Call from Python: see references/python-api.md (subprocess recommended;
#    import-embedding needs matplotlib.use("Agg") on your side)

# Not sure which chart fits? Let the analyzer recommend one
python3 scripts/gen_figure.py --suggest -d data.json

# Bar chart with default glm palette (muted, colorblind-safe)
python3 scripts/gen_figure.py -t bar -d data.json -o figure.png \
  --title "Figure 2 / Subtitle" --ylabel "Accuracy (%)"

# v2.7: raw per-subject survival data -> automatic multi-variable Cox -> HR forest (with PH test)
python3 scripts/gen_figure.py -t forest --data patient.csv --stats cox \
  --cox-time time --cox-event event --cox-cols "age,sex,treat"

# Forest plot for meta-analysis (PDF output)
python3 scripts/gen_figure.py -t forest -d forest.json -o forest.pdf --theme okabe-ito

# Kaplan-Meier survival curve with log-rank test
python3 scripts/gen_figure.py -t km -d survival.json -o km.png --theme okabe-ito

# ROC curve with AUC
python3 scripts/gen_figure.py -t roc -d roc.json -o roc.png --theme okabe-ito

# v2.8: 4-set ellipse venn (data format: templates/venn.json)
python3 scripts/gen_figure.py -t venn -d venn.json -o venn4.png

# PRISMA 2020 systematic-review flow diagram (arithmetic auto-validated)
python3 scripts/gen_figure.py -t prisma -d prisma.json -o flow.pdf --theme okabe-ito

# Nature double-column submission: width 183mm, 7pt Helvetica, min text 5pt
python3 scripts/gen_figure.py -t bar -d data.json -o nat.pdf --journal nature --column double
python3 scripts/audit_pdf.py nat.pdf --min-size 5          # font-size gate (5pt for nature)

# Multi-panel composite (Panel A+B+C, journal figure layout)
python3 scripts/gen_figure.py -t composite -d composite.json -o figure4.png --theme okabe-ito

# Heatmap with CJK support
python3 scripts/gen_figure.py -t heatmap -d data.json -o heatmap.png --cjk \
  --cmap RdBu_r --vmin -20 --vmax 45

# v2.7: aspect-ratio presets (16:9 slides / 9:16 mobile); v2.8: big-cluster downsample
python3 scripts/gen_figure.py -t bar --data d.json --size 16:9
python3 scripts/gen_figure.py -t cluster_heatmap --data big.json --downsample 2000 --timeout 600

# Scenario templates: copy one, swap in your real numbers (ls templates/)

Chart Types

Category	Type	Command	Key Features
Compare	Bar	`-t bar`	Grouped bars, error bars, significance brackets, hatching, ratio annotations
Compare	Horizontal Bar	`-t hbar`	Horizontal bars, ratio annotations
Comparison	Grouped bar	`-t grouped_bar`	group × series two-way grouping; `--show-ratio` per-group ratio labels
Composition	Stacked Bar	`-t stacked_bar`	Subgroup proportions, percentage labels, total annotations
Distribution	Box	`-t box`	Box-and-whisker, jitter points
Distribution	Violin	`-t violin`	Density estimation, inner mean/median
Distribution	Raincloud	`-t raincloud`	half-KDE cloud + box + jittered raw points trio (v4.9); violin schema
Distribution	Ridgeline	`-t ridgeline`	stacked per-group KDE densities (joyplot), `overlap` 0-0.95, `sort=median`; shows how distributions shift across groups (v5.0)
Comparison	Dumbbell	`-t dumbbell`	two points per row (from→to) + connector, gap-sorted; `show_gap` Δ labels; strictly two time points (v5.1)
Prediction model	Calibration	`-t calibration`	binned predicted vs observed + ideal diagonal, equal-aspect axes; 95%CI error bars, optional Hosmer-Lemeshow p (v5.2)
Prediction model	DCA	`-t dca`	net benefit vs threshold; treat-all (theory from prevalence or explicit) + treat-none references, 1-6 models (v5.2)
Prediction model	Nomogram	`-t nomogram`	clinical nomogram (points ruler → per-variable scales → Total Points → outcome scales); visualizes your fitted model, auto nice-step totals, height scales with row count (v5.3)
Paired	Before-after	`-t paired`	per-subject pairing lines + paired test (annotated at n≥6)
Trend	Scatter	`-t scatter`	Trend line, r value, color grouping, mean points, point labels
Trend	Line	`-t line`	Multiple series, error bands, markers
Pre/Post	Slope	`-t slope`	two-time-point comparison; direct name+value labels at both ends, biggest mover accented (v4.2)
Trend	Dual Y-axis	`-t dual_axis`	left bars + right dashed lines (swappable via `left_type`/`right_type`); frameless legend in reserved top band, never occludes data
Matrix	Heatmap	`-t heatmap`	Cell annotations, custom colormap, colorbar
Matrix	Clustered Heatmap	`-t cluster_heatmap`	Hierarchical reordering, `--downsample` exit for big matrices
Multivariate	PCA	`-t pca`	scores + group ellipses + top-5 loadings; ≤200 feature columns
Inference	Forest	`-t forest`	CI whiskers, weight bubbles, overall diamond, I², events/total; `--stats cox` multi-variable HR
Meta-analysis	Funnel	`-t funnel`	publication bias, DL pooled line; `--egger` test (≥3 studies)
Survival	Kaplan-Meier	`-t km`	Step function, censor marks, log-rank test, risk table, median survival; v3.7 competing risks (event codes ≥2 auto-switch to Aalen-Johansen cumulative incidence)
Omics	Volcano	`-t volcano`	differential expression log2FC × -log10(p); threshold lines + auto top-gene labels (v4.4)
Agreement	Bland-Altman	`-t bland_altman`	bias line + limits of agreement (LoA); two equal-length groups
Sets	Venn	`-t venn`	2-4 sets (4 sets = ellipse layout, v2.8); `--area` proportional Euler
Sets	UpSet	`-t upset`	5+ set intersections (venn successor, v4.7); size-sorted bars + dot matrix, `sort`/`top_n`/`min_size`
Oncology	Waterfall	`-t waterfall`	best % change per patient, RECIST coloring, PR/PD threshold lines, count fact box (v4.8)
Oncology	Swimmer	`-t swimmer`	per-subject duration bars (sort by duration), ongoing arrows, milestone dots, RECIST coloring (v4.10)
Composite	Composite	`-t composite`	Multi-panel A+B+C (⚠ no nested composite/diagram/upset panels); `panel_labels:true` corner letters (v4.1); `span:[rows,cols]` multi-cell panels with overlap detection (v4.3)
Flow	Diagram	`-t diagram`	Architecture/flow blocks, arrows, groupings, annotations
Review	PRISMA Flow	`-t prisma`	PRISMA 2020 review flow; counts auto-validated (must add up), EN/ZH wording via `lang`

Scan the Category column at a glance; getting-started path in references/quickstart.md, full command cheatsheet in references/cheatsheet.md.

Chart Decision Tree (compact; full version + getting-started: references/quickstart.md)

Group comparison → bar/box/violin/raincloud (full trio view; pre-post → paired; distribution shift across groups → ridgeline; two-point per-row gaps → dumbbell) | Mean±error bars → bar (JSON errors)
Two-column correlation → scatter | Time-to-event → km / forest --stats cox | Diagnosis → roc (--compare)
Set membership → venn (--area; 5+ sets → upset) | Numeric matrix → heatmap / cluster_heatmap | Sample classes → pca
Omics differential expression → volcano |
Oncology best response → waterfall (RECIST)；per-subject duration → swimmer |
Prediction model evaluation → roc + calibration (calibration curve) + dca (net benefit) + nomogram (fitted-model lookup chart) |
Multi-panel → composite

Still unsure: --suggest -d data.json (auto-recommend), or --wizard (guided). First time? The full decision tree, a 4-step getting-started, Python API and the top pitfalls live in references/quickstart.md (standalone getting-started guide).

Capabilities & Boundaries (read before first run)

Capability	What it does	What it does NOT / boundary	Where to look
Chart engine	33 types, one command, 600dpi; byte-deterministic output	No interactive exploration (static files only); no 3-D plots	Chart Types ↑
Prediction-model eval	calibration: binned values in [0,1]; dca: thresholds strictly ascending in open (0,1), 1-6 models; nomogram: 1-12 variables, 1-3 outcome scales	No auto-binning; nomogram visualizes your fitted model (no fitting)	Chart Types ↑
Chart picking	`--suggest` (auto), `--wizard` (guided), `--quick` (auto-pick+render), `--explain TYPE`	Suggestions are structural heuristics — confirm the statistical meaning yourself	quickstart.md
Stats	KM risk table/log-rank/median CI; Cox (Efron+PH); ROC DeLong; bootstrap CI; Egger	No Bayesian methods; no sample-size/power calculation	advanced.md
Journal presets	9 presets, exact width/font/DPI from author guidelines	`--journal` locks width (`--width` ignored, `--height` OK); Pro-only journals not preset	limits.md §6
Verification	`--verify` pixel overlap gate (exit 2), `audit_pdf.py` font-size gate	Off unless requested — PDF submission outputs should pass `--verify` explicitly (or `--pub-ready`)	§Verification ↓
Composite	Multi-panel A+B+C, `span` multi-cell	Panels cannot nest composite/diagram/upset	composite-layouts.md
Data input	JSON full / CSV-TSV basic / xlsx (`--sheet`)	CSV cannot carry `errors`/dual-axis/forest schemas — those need JSON	data-formats.md
Data volume	cluster_heatmap >3000 rows auto-downsamples (announced)	pca ≤200 feature columns; venn 2-4 sets; paired/bland_altman equal-length pairs	limits.md
CJK	`--cjk` + recursive auto-detect in data	Headless servers need at least one CJK font installed (detect: `setup_env.py`)	pitfalls.md
Watchdog	Adaptive 30-1800s budget; `--timeout` adjusts; auto-degrade on MemoryError	`--timeout 0` disables (unbounded render risk)	limits.md §7
Flag scopes	`--stats` box/violin (`cox`: forest); `--compare` roc; `--egger` funnel; `--hatch` bar family; `--order/--normalize` per family	Flag outside its scope is ignored with a notice — run `--doctor` to preflight combos	limits.md
Exit codes	0 success / 1 fatal validation / 2 overlap / 3 data / 4 env / 5 timeout / 6 memory	Exit 0 never co-exists with a silent data problem (non-finite values are fatal)	§Exit Codes ↓

Full matrix: references/limits.md. FAQ: references/faq.md. Over-limit inputs are rejected with a Chinese error message plus a fix suggestion — no half-finished figures are ever written.

Color Themes

Default = glm (muted Morandi, colorblind-safe). Submissions: --theme okabe-ito (Nature Methods standard; red-green schemes are a top rejection reason). Palettes: glm / okabe-ito / cool (all colorblind-safe); nature lancet nejm science conservative classic. --style glm-hatch adds print-friendly black hatching; --style nature-clean = spine/grid-free journal-clean look; --journal nejm|lancet|science|nature auto-links its theme. --list-themes (swatches), --theme-swatch glm -o preview.png, --alternate (yellow/blue bars). Aliases okabe→okabe-ito; case-insensitive prefix match. Full guide: references/color-guide.md.

Journal Submission Presets (v2.0)

⚠ --journal locks width (--width overridden; --height works); nejm/lancet/science/nature auto-link their theme unless --theme is explicit. --style glm-hatch is theme-level, distinct from the bar-family --hatch flag. Full interactions: references/limits.md §6.

--journal <name> + --column single|double applies exact width/font/DPI from official author guidelines — 9 presets: nature lancet science cell nejm jama ieee + cma(中华医学会)

cn-core(中文核心, both auto-CJK). Height follows theme aspect; explicit --width/--height overrides. stderr reports the preset + matching audit_pdf.py --min-size gate. Params: scripts/journal/*.json (single source).

Journal	Single	Double	Font	Min Text	Family	DPI
`nature`	89mm	183mm	7pt	5pt	Helvetica	600
`lancet`	85mm	183mm	8pt	6pt	Arial	600
`science`	55mm	120mm	7pt	5pt	Helvetica	600
`cell`	85mm	176mm	8pt	6pt	Arial	300
`nejm`	89mm	190mm	8pt	6pt	Helvetica	300
`jama`	89mm	183mm	8pt	6pt	Arial	600
`ieee`	89mm	181mm	8pt	6pt	Times New Roman	600
`cma`	80mm	170mm	8pt	6pt	Arial (+CJK)	600
`cn-core`	80mm	170mm	9pt	6pt	Arial (+CJK)	300

Auto Significance (--stats auto)

box/violin: every series vs the first — Shapiro decides Welch-t vs Mann-Whitney — brackets with */**/***/n.s., per-comparison stderr report; --stats multi adds Tukey/Dunn (Holm–Hochberg); --stats cox = multi-variable Cox forest from raw per-subject data. Deep dive: references/advanced.md.

Meta Analysis Workstation

KM auto median survival with 95% CI (Greenwood log-log, lifelines-verified; --no-median opts out, never-reached 50% honestly labeled); forest --sensitivity leave-one-out (DL re-pooling); funnel --egger publication-bias test.

Scenario Templates (v2.6; covering the 33 chart types incl. slope/volcano/upset/waterfall/raincloud/swimmer/ridgeline/dumbbell/calibration/dca/nomogram)

templates/ ships 28 end-to-end templates (data JSON + ready-to-run command + caption template): scenario templates plus per-chart-type quick templates (bland_altman, cluster_heatmap, funnel, paired, pca, venn, slope, volcano, upset, waterfall, raincloud, swimmer). Full index: templates/README.md.

Data Validation & Exit Codes (v2.0 / v2.8 grading)

Every run passes validate_data(data, chart_type) plus a render watchdog. Exit code semantics:

Exit	Meaning	Typical case
`0`	Success (`--verify`: no real overlap)	normal delivery
`1`	Argument/usage or fatal validation error (no output written)	missing args, series length mismatch, km long-table
`2`	`--verify` found text overlap; or batch/pipeline had failing items	fix mechanism, don't ship
`3`	Data or format error (v2.8)	JSON syntax, encoding, missing fields, KeyError
`4`	Environment or dependency error (v2.8)	ImportError, permissions, disk
`5`	Render watchdog timeout (v2.8)	oversized data — follow the tips or raise `--timeout`
`6`	Memory guard rejected (v2.8)	auto-degrade retry still out of memory

Fatal messages prefix ERROR: (Chinese reason + fix), warnings WARNING: (render continues). Unknown exceptions still produce a Chinese three-part diagnosis (reason + original error + targeted tips); set AF_DEBUG=1 for the full traceback.

--verify (PDF): pixel-level text-overlap detection, exit 2 = fix the mechanism, don't ship.
python3 scripts/audit_pdf.py figure.pdf --min-size 5 --fail-below (font-size gate).
verify_overlap_pixel.py on every delivered PDF — real overlaps must be 0.

Overlap prevention is built in (auto 45° rotation, labelpad avoidance). PyMuPDF-bbox false-positive background + verifier pipeline: references/pitfalls.md. Regression: python3 tests/run_tests.py.

Supplementary Legends

Nature-style journals forbidding in-figure legends: python3 scripts/gen_legend.py -d data.json -t "Title" -f 1 -o legend.txt renders a journal-format legend from the SAME data JSON.

CJK / Chinese Support

--cjk auto-detects system CJK fonts (Noto Sans CJK → PingFang → YaHei → WQY → …); custom font: --cjk-font /path.ttf. Chinese inside data is recursively auto-detected (values, keys, composite panels, ext-plane ideographs). Glyph-gap traps: references/pitfalls.md.

Output Formats

Format	Extension	DPI	Best For
PNG	`.png`	600 (default)	General use, presentations
SVG	`.svg`	Vector	Web, editable graphics
PDF	`.pdf`	Vector	Journal submissions (preferred)
TIFF	`.tiff`	600 (photos `--dpi 300`)	Nature/Lancet photo requirements
EPS	`.eps`	Vector	Legacy journal requirements

Strict journals: --dpi 1000 for line art. --multi-format tiff,png,pdf for one-run multi-export.

Data Input

JSON (full features), CSV/TSV (basic) or Excel .xlsx (--sheet <name>). Per-type schemas: references/data-formats.md; templates: templates/README.md; Python API: references/python-api.md (bar JSON = {"labels":[...], "series":{...}, "errors":{...}, "significance":{...}}).

Key Flags

High-frequency flags (full cheatsheet: references/cheatsheet.md):

Flag	Description
`--journal` / `--column`	Journal presets / column layout (⚠ locks width, see above)
`--stats auto\|cox\|bootstrap`	Significance brackets on box/violin / Cox multi-variable forest (v2.7)
`--order "C,A,B" \| auto`	Reorder categories (bar/box/violin/line; explicit list must cover all labels; auto = descending by value/median)
`--normalize baseline\|pct100`	Normalize: divide by control mean (control = 1) / first point = 100 (bar family/line; error bars rescaled)
`--doctor`	Pre-render parameter/environment check report (omit -o for check-only, exit 1 = findings)
`--subtitle "Sub"` / `--source "Note"`	Subtitle line under the title / bottom-right source note (v4.0)
`--summary`	Auto data-summary subtitle (pure counts: n/groups/events, no inference; v4.1)
`--profile preset.json`	Layered config file: presentation presets, CLI flags win (v4.3)
`--cjk`	CJK font auto-detection
`--verify`	Pixel-level overlap verification on PDF output; exit 2 on overlaps
`--audit` / `--repro`	`--audit`: `<output>.audit.json` number-check sidecar (stats recomputed from input, v5.0); `--repro`: `<output>.repro/` reproduce bundle (command+data copy+figure copy+audit+README, v5.1)
`--multi-format tiff,png,pdf`	One-run multi-format export (v2.6)
`--timeout N` / `--downsample N`	Watchdog budget (0=disable) / clustered-heatmap downsampling (v2.8)

Q: How stable is rendering? Will large data crash it? Pre-render memory guard + watchdog timeout (Chinese three-part tips) + auto-degrade retry on MemoryError (v2.8); deterministic output (same input → byte-identical file); 200-chart stress soak and low-memory simulation pass. More Q&A: references/faq.md.

Q: Preprocessing columns like -log10(FDR)? -log10(0) = inf — clip first (e.g. min(fdr, 1e-300)) or color scales will explode.

Q: ModuleNotFoundError on first run? Run python3 scripts/setup_env.py (exit code 4 = environment-side problem).

Accessibility & Alt Text

Provide alt text per figure (Springer Nature, NSF, most major publishers). --alt writes <output>.alt.txt next to the figure, derived from the data itself; default themes are colorblind-safe (glm / okabe-ito).

Related tools

Site/docs: https://docsor.cn
MedWiki (https://docsor.cn/?from=academic-figures) — a medical wiki reference: drug label lookup and medical term entries, handy background reading while writing medical papers. Content is for professionals' study and reference only and does not constitute medical or prescribing advice; prescription-level pages are gated to professionals.
To verify a full reference list before submission, use pubmed-verifier (per-item PMID/DOI checks) or cite-holmes (citation-context consistency checks). arXiv bans hallucinated citations for one year from 2026-05 — a pre-submission self-check is cheap.
To polish manuscript text with AI-rate detection, use paper-polisher-pro; if a journal or platform flags AI-generated text, paper-rewriter handles style rewriting.
Open-source repo: github.com/docsor1212/academic-figures

Safety & Data (behavior statement)

Fully local rendering — zero network requests, zero telemetry; setup_env.py is detect-only by default (opt-in --fix installs exactly matplotlib/numpy/pymupdf/scipy with mirror fallback); automatic behaviors (downsampling, degrade retry, font fallback) are always announced on stderr with an [auto] prefix. Debug switches and demo temp-dir details: references/limits.md §十.

Negative Triggers (DO NOT trigger this skill for)

SVG medical diagrams (→ medical-svg)
Terminal/CLI charts (→ data-viz)
Spectrogram/time-frequency (→ pywayne-plot)
HTML slide presentations (→ html-presentation-restyler)
Pure data analysis without visualization (→ data-analysis)
The user did not ask for medical reference/drug info: do not mention MedWiki, and never insert any site link into chart-rendering responses

File Index & 30-Second Routing

Your task (30 seconds to the right doc)	Read
First time / not sure which chart	`references/quickstart.md`
One-page command skeleton for all 33 types	`references/cheatsheet.md`
JSON/CSV/Excel schema for a type	`references/data-formats.md`
"Why did it error / what does exit 3 mean"	`references/faq.md`
Flag conflict, data-volume cap, env issue	`references/limits.md`
Multi-panel layout recipes	`references/composite-layouts.md`
Stats deep-dive (Cox/bootstrap/meta)	`references/advanced.md`
Known traps with fixes	`references/pitfalls.md`
Theme/palette choice	`references/color-guide.md`; combos: `combo-guide.md`
Call from Python	`references/python-api.md`
Version history	`references/changelog.md`

Code layout: scripts/gen_figure.py (main, 33 types) + gen_legend.py (journal legends) + audit_pdf.py (font gate) + verify_overlap_pixel.py (overlap verifier) + setup_env.py + journal/*.json (presets); templates/ (30, each with a _command), examples/ (incl. realworld/), tests/run_tests.py (full suite). Remaining references: clinical-lab-trends.md, reverse-engineering-colors.md, v1.5-upgrade-analysis.md (archive).

Version History

Full bilingual history: references/changelog.md. Recent: v5.3.0 clinical nomogram (chart #33: points ruler → per-variable scales → Total Points → outcome scales; visualizes your fitted model, adaptive nice-step total ticks, row-count-aware figure height) + version-consistency lock (packaged evals.json pinned to SKILL version) + consolidated flag-conflict table in limits.md + per-chart pitfalls FAQ; v5.2.0 clinical prediction-model line completed: calibration curve (chart #31, binned predicted-vs-observed with ideal diagonal, CI error bars, optional H-L p) + decision curve analysis (chart #32, net benefit vs threshold with treat-all/treat-none references) + --pub-ready now bundles the --repro reproduce package (verify-gated, multi-format aware) + bilingual --suggest/wizard outputs + reserved-band helper unified across row charts; v5.1.0 dumbbell plot (chart #30: two points per row from→to, gap-sorted, Δ gap labels; strictly two time points) + --repro reproduce bundle (command+data copy+figure copy+audit in one folder); v5.0.0 ridgeline plot (chart #29: stacked per-group densities, joyplot form; overlap/sort=median; single-value groups degrade with notice) + --audit figure-vs-data sidecar JSON; v4.10.0 clinical swimmer plot (chart #28: per-subject duration bars + ongoing arrows + milestone markers + RECIST coloring) + doctor submission-format hint; v4.9.0 raincloud plot (chart #27) + setup_env --fix mirror fallback; v4.8.0 oncology waterfall plot (chart #26, RECIST) + suggest dedup; v4.7.0 upset set-intersection plot (chart #25) + color/combo scenario guides + real-world examples + limits quick table; v4.6.0 ROC default semantic axis titles + venn title disambiguation + adaptive cluster-heatmap label fonts (P3 polish pack); v4.5.0 independent-testing fixes; v4.4.0 volcano plot; earlier versions in changelog.

🚀 Pro Edition

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academic-figures

安装技能