菜单
Publication-quality plots: vector PDF output, PNG at dpi=300, label and tick font sizes readable at final column width. Use when generating or updating figures for papers, slides, or reports; or when plot text is too small or clipped.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Deep-read an academic paper and produce a durable, critical research note — not a loose summary. Use when given a paper title, DOI, arXiv ID, publisher/PDF/GitHub URL, or local PDF, or when asked to read closely, summarize, extract contributions, analyze experiments, critique, compare to related work, reproduce results, or maintain a paper-reading repository index. Works across fields (astro/physics, ML, bio, security, …); examples lean astro-ph but the workflow is general.
Remote, slice-level access to FLAMINGO HDF5 files on COSMA via the `hdfstream` Python module — no need to download whole snapshots. Covers install, server connection, navigation, dataset slicing, multi-slice batched reads, and integration with swiftsimio. Use when reading any FLAMINGO data product remotely.
FLAMINGO past-lightcone products: virtual observers, particle lightcones, HEALPix shell maps, integrated_maps, and halo lightcones. Use when building mock surveys, stacking Compton-y or lensing maps, or cross-correlating with observations.
Review code changes against requirements and quality standards before merge. Use when dispatching a review subagent, after major features, before merging, or when the user asks for a code review. Requires reading the actual diff.
Style and structure for research manuscript text: IMRaD, hourglass narrative, formal tone, topic sentences, reproducible Methods, captions that tell the story. Use when drafting or editing titles, abstracts, sections, captions, or reports.
Iterative VLM review of compiled LaTeX PDFs for layout clashes (text vs figures, tables, long equations). Use after the first compile or any float/equation edit; loop fix-recompile-recheck until no clashes remain.
| name | scientific-plotting |
| description | Publication-quality plots: vector PDF output, PNG at dpi=300, label and tick font sizes readable at final column width. Use when generating or updating figures for papers, slides, or reports; or when plot text is too small or clipped. |
Goal: figures that look correct in the compiled paper PDF, not on a large monitor. Do not teach or paste plotting code in chat; change the project's plot script and re-export.
Vector PDF saved under the manuscript figures directory, with a stable filename the paper already references. Prefer PDF for manuscript figures.
PNG exports: dpi=300 always — for slides, previews, VLM audit, or when
raster is required. Do not rely on matplotlib's default (~100 dpi); text and
lines will look soft or pixelated when zoomed or printed.
fig.savefig("figure.pdf") # vector — preferred for LaTeX
fig.savefig("figure.png", dpi=300) # raster — always 300
plt.savefig("figure.png", dpi=300, bbox_inches="tight")
Font sizes chosen for the width the figure will occupy in the PDF: axis labels, ticks, legend, colorbar, and panel letters should read as roughly 7--9 pt in the printed page. Defaults are usually too small after scaling.
Figure dimensions set in the plotting step for that width, not oversized on screen and shrunk only in the manuscript.
No clipped or overlapping text at the edges; legend must not hide the data.
Secondary styling: distinguish series with line/marker style and colour, not colour alone (colour-vision deficiency affects up to ~10% of readers; Paper II, Sect. 2.3). Other styling unless the project specifies it.
After export, run plot-check, then vlm-figure-audit at publication size. If labels fail, adjust the plot script and regenerate — do not patch readability only in LaTeX.
dpi=300).Domain-specific units, axis ranges, and science checks belong in the project, not here.