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/paper-figures

Extract figures from downloaded papers and include them in survey/review reports. Use when the report covers other groups' work and benefits from their architecture diagrams, experimental plots, or system schematics. Your brain prompt supplies the absolute path to the

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luxas
68710 skills14 agents
Install
$ npx -y skills add Muuuun/luxas --skill paper-figures --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/paper-figures

Context preview

The summary Claude sees to decide when to auto-load this skill.

Extract figures from downloaded papers and include them in survey/review reports. Use when the report covers other groups' work and benefits from their architecture diagrams, experimental plots, or system schematics. Your brain prompt supplies the absolute path to the

SKILL.md

paper-figures.SKILL.md
name: paper-figures
description: Extract figures from downloaded papers and include them in survey/review reports. Use when the report covers other groups' work and benefits from their architecture diagrams, experimental plots, or system schematics. Your brain prompt supplies the absolute path to the extract-figures script as {{EXTRACT_FIGURES}} — use that value wherever this skill writes `extract-figures`.

Paper Figures Skill

Figures are information. A survey/review report covering downloaded papers MUST include key figures — architecture diagrams, experimental results, comparisons. Do NOT write a text-only survey when figures are available.

3-step workflow

Step 1 — Extract figures from downloaded papers

Your brain prompt supplies the script's absolute path as `{{EXTRACT_FIGURES}}`. Invoke it once per paper:

{{EXTRACT_FIGURES}} data/papers/<paper-id>.pdf   # single PDF
{{EXTRACT_FIGURES}} data/papers/<arxiv-id>        # arXiv source directory

This creates `data/papers/<id>_figures/` with extracted images and a `manifest.json` listing each figure with caption and page number.

Step 2 — Review captions and classify every figure

Read every manifest:

cat data/papers/*_figures/manifest.json

Record your decisions in `notes/memory.md` under a `## Figure Review` section. Every figure must end up in one of three states:

  • **USE** — essential for understanding the topic; will be included in the report
  • **SKIP** — irrelevant, redundant, or low quality
  • **UNREVIEWED** — caption not yet read (only acceptable as a transient state)

Select figures that are:

  • Essential for understanding the topic (architecture diagrams, system schematics)
  • Key experimental results that support your narrative
  • Useful comparisons across methods, systems, or time periods
  • Visually informative (not just tables rendered as images)

Step 3 — Include `USE` figures in the report

For each figure marked `USE`, embed it directly in LaTeX:

\begin{figure}[t]
  \centering
  \includegraphics[width=\linewidth]{../data/papers/<id>_figures/<filename>}
  \caption{<Your caption describing the figure in the context of your survey>. Adapted from \cite{<key>}.}
  \label{fig:<label>}
\end{figure}

Rules

  • **Coverage**: survey/review reports include at least 3-5 `USE` figures from downloaded papers, in addition to any figures you generate yourself.
  • **Captions**: write your OWN caption in the context of the survey narrative — do not copy the original caption.
  • **Attribution**: always cite the source paper with `\cite{}`.
  • **No skipping the review step**: every extracted figure must be classified before writing the report.
  • **Complementary**: you may also generate your own figures (see `skills/matplotlib-figures/SKILL.md`) for data summaries, timelines, or cross-paper comparisons not found in existing figures.
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