# Publication Figure Palettes

> Choose publication figure palettes, contextual Notion-derived style candidates, presets, and snippets with provenance and experimental gates.

- Skill: `yuukias/publication-figure-palettes` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yuukias/publication-figure-palettes`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yuukias/publication-figure-palettes/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Productivity
- Author: YuukiAS (https://skillmd.com/u/yuukias)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/yuukias/publication-figure-palettes

---

# Publication Figure Palettes

Use this skill when a user asks which palette to use for a paper figure,
conference-style plot, journal-inspired figure, heatmap, UMAP, schematic,
histogram, bar chart, or multi-panel scientific figure.

## Source Of Truth

- In the source repo, use `palette/scientific-figure-palettes.json`,
  `palette/notion-palette-candidates.json`,
  `palette/figure-example-registry.json`, and
  `palette/publication-figure-presets.json`.
- Inside the Codex App plugin, first read the same files under
  `../../shared/palette/`.
- Use `python scripts/palette.py` in the source repo or
  `../../shared/scripts/palette.py` inside the plugin for read-only lookup,
  recommendations, contextual discovery, snippets, presets, and examples.

## Routing Rules

- Default publication figures use `tier=core_publication` for actual plotting.
- Journal-inspired palettes are non-official style references. Do not describe
  them as publisher branding.
- Notion-derived candidates never enter canonical core. They may appear by
  default in contextual discovery when the user provides a venue, figure type,
  or domain context such as AAAI, CVPR, Nature, ICML, UMAP, histogram,
  schematic, benchmark, or Gaussian splatting. Do not require the user to know
  or name Notion.
- Contextual discovery is not application: keep safe canonical palettes,
  experimental candidates, and guidance-only examples in separate lanes.
- Unreviewed Notion transcriptions require `--allow-experimental` for snippets.
- Picker-derived, figure-sampled, or composite Notion candidates are
  inspiration-only and snippet-blocked until a future manual review changes
  their status.
- cols4all entries are GPL-3 external data; keep license/provenance visible.

## Commands

```bash
python scripts/palette.py list --tier core_publication
python scripts/palette.py recommend --figure-type heatmap --style-source core --explain
python scripts/palette.py discover --figure-type schematic --paper-venue AAAI --explain
python scripts/palette.py notion search --venue CVPR
python scripts/palette.py explain notion_aaai_1
python scripts/palette.py guidance notion_icml_clean_1 --target matplotlib
python scripts/palette.py preset get nature_biomedical_multi_panel_nonofficial
python scripts/palette.py example --figure-type histogram --style-source notion --page python_bar_distribution
python scripts/palette.py snippet notion_aaai_1 --target matplotlib --allow-experimental
```

Always report the lane, tier, review status, license or disclaimer, and the
canonical fallback when showing an experimental or guidance-only candidate.