paper-figure

스타8

포크1

업데이트2026년 4월 11일 06:36

Generate publication-quality matplotlib or seaborn figures for an academic LaTeX paper. 11 EECS chart types (bar, line, heatmap, ROC, ablation, scaling). Output to figures/*.pdf.

설치

Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.

출처

curryfromuestc

curryfromuestc/academic-paper

GitHub 저장소 열기 Creator 저장소 보기

다운로드

paper-figure

Generate a publication-quality figure for an academic LaTeX paper using matplotlib or seaborn, save it as PDF in figures/, and write the matching Python source in scripts/.

Project config loading (mandatory first step)

Same as paper-draft (see that file for the exact 5-step protocol). If no .paper-config.yml is found in the cwd ancestor chain, stop with the "No paper project found" error.

What this skill does

Parse $ARGUMENTS for <chart-type> and <description>.
Recognized chart types: bar, line, scatter, heatmap, roc, ablation, scaling, confusion-matrix, box, violin, pareto.
Delegate to the visualization agent. The agent:
- Generates a Python script using matplotlib/seaborn with publication defaults (300 DPI, colorblind-safe palette, proper rcParams)
- Saves the figure as figures/<slug>.pdf
- Saves the script as scripts/<slug>.py
- Returns the LaTeX include snippet for the user to paste
Run the script with python3 scripts/<slug>.py to actually produce the PDF. Verify the output file exists and is non-empty.

Handoff schemas

None. This skill is self-contained.

Next steps

/paper-draft <section> to reference the new figure in the section text
/paper-compile to verify the figure renders in the PDF

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name	paper-figure
description	Generate publication-quality matplotlib or seaborn figures for an academic LaTeX paper. 11 EECS chart types (bar, line, heatmap, ROC, ablation, scaling). Output to figures/*.pdf.
argument-hint	<chart-type> <description>
paths	["/main.tex","/figures/","*/scripts/.py","**/.paper-config.yml"]
allowed-tools	Read Write Edit Bash(python *) Skill

paper-figure

Generate a publication-quality figure for an academic LaTeX paper using matplotlib or seaborn, save it as PDF in figures/, and write the matching Python source in scripts/.

Project config loading (mandatory first step)

Same as paper-draft (see that file for the exact 5-step protocol). If no .paper-config.yml is found in the cwd ancestor chain, stop with the "No paper project found" error.

What this skill does

Parse $ARGUMENTS for <chart-type> and <description>.
Recognized chart types: bar, line, scatter, heatmap, roc, ablation, scaling, confusion-matrix, box, violin, pareto.
Delegate to the visualization agent. The agent:
- Generates a Python script using matplotlib/seaborn with publication defaults (300 DPI, colorblind-safe palette, proper rcParams)
- Saves the figure as figures/<slug>.pdf
- Saves the script as scripts/<slug>.py
- Returns the LaTeX include snippet for the user to paste
Run the script with python3 scripts/<slug>.py to actually produce the PDF. Verify the output file exists and is non-empty.

Handoff schemas

None. This skill is self-contained.

Next steps

/paper-draft <section> to reference the new figure in the section text
/paper-compile to verify the figure renders in the PDF