Skills

PaperFig

Design, implement, revise, and validate publication-quality scientific figures from...

Install

npx skills add WUBING2023/PaperSpine --skill paperFig -g -a claude-code -y
Repository
WUBING2023/PaperSpine6.2k
Category
Design
Updated
22d ago
License
MIT
Context cost
Mediumabout 2,350 tokens
Runs scripts
Yes, review before use

What it does

Design, implement, revise, and validate publication-quality scientific figures from references, existing plotting code, and real project data. Trace every figure to source code and inputs; deconstruct reference figures; plan the scientific story and multi-panel structure; build complex model architecture and statistical panels; enforce a consistent visual system; and render-verify PDF/SVG/PNG outputs. Use for 科研配图, 论文配图, 找图的源代码, 参考图复刻与改造, 模型框架图, 多面板主图, figure redesign, or standardizing a research-figure process.

paperFig

Create scientifically faithful, publication-quality figures through a repeatable process from evidence inventory to final render QA.

This skill governs the research-figure process only. It does not include anonymization, data perturbation, synthetic replacement, identifier removal, or privacy guarantees. If the user separately requests those operations, treat them as an additional workflow with an explicit data-release contract; do not silently mix them into ordinary scientific plotting.

Mandatory routing

Read the following references before acting:

  • references/research-figure-process.md for the phase-by-phase workflow.
  • references/reference-deconstruction.md before imitating or adapting a reference figure.
  • references/architecture-and-multipanel-design.md for model diagrams or compound figures.
  • references/scientific-visual-qa.md before final generation and delivery.

Use the PDF skill whenever a PDF is read, created, or reviewed. Use the spreadsheets skill when the main source is an XLSX workbook requiring inspection or transformation.

Trigger conditions

Use this skill when the user asks to:

  • create or improve scientific, academic, or paper figures;
  • locate the plotting code and data behind figures in a PDF or directory;
  • reproduce the visual logic of public reference figures with project data;
  • build a model architecture, Transformer diagram, mechanism schematic, or evidence-backed workflow panel;
  • redesign benchmark, ablation, transfer, interpretability, or mechanism figures;
  • assemble a consistent multi-figure suite or reference-vs-redraw atlas;
  • standardize an existing plotting project into a reusable process.

Do not use it for generic illustration, ordinary photo editing, UI design, or privacy/anonymization as the primary objective.

Core principles

Read the whole SKILL.md on GitHub

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