ci-mockup-figure
FeaturedCreate space-efficient figures for papers and proposals. HTML mockups for systems, dashboards, and timelines; TikZ or skia-canvas for abstract diagrams with arrow routing. Covers tool selection, design, capture, and LaTeX insertion. The primary goal is maximizing information per page — every figure must earn its space.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- yzhao062
- Repository
- yzhao062/anywhere-agents
- Created
- 4 months ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Similar Skills
Semantically similar based on skill content — not just same category
top-cs-figure
Create, revise, audit, render, and export publication-ready computer-science paper figures using a Python-first, corpus-calibrated workflow. Use for manuscript figures, multi-panel experimental charts, comparison plots, scaling curves, heatmaps, embeddings, network diagrams, method schematics, executable YAML/CSV figure render specs, figure-brief handoffs, caption/callout alignment, SVG/PDF/PNG/TIFF export bundles, and visual QA for WWW, ICLR, ICML, NeurIPS, CVPR, ACL, or generic top-CS submissions. Do not use for interactive dashboards, Plotly/Altair/web apps, Illustrator/Figma-first layout, AI-generated graphical abstracts, or result-table writing.
academic-figure-figma
Use when the user wants a paper figure (framework, pipeline, architecture, method overview) drawn, rebuilt, or refined as an editable vector in Figma via Claude Code — including reproducing a candidate/reference image (e.g. studio-pro C01-C04) at exact print size. Also use when the user needs to set up or fix the Claude Code-Figma connection: installing the Figma MCP plugin, OAuth/authentication (incl. remote sessions), seat or quota problems, "figma 连不上/怎么配置", or a first-run guided setup.
cvpr-figure
Create, revise and audit publication-grade pipeline, framework, teaser and module figures for CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI and ACL papers, and export them as Visio-editable .vsdx, PowerPoint-editable .pptx, plus SVG/PDF/PNG/EMF for LaTeX. Use for architecture diagrams, method overview figures, framework figures, pipeline diagrams, teaser/paradigm-comparison figures, attention and token diagrams, module zoom-ins, and 顶会论文配图、框架图、流程图、pipeline图、方法图、teaser图、 网络结构图、模型架构图、科研绘图、论文示意图、Visio可编辑图. Drives a declarative spec through a deterministic layout engine whose palette, typography and geometry were measured out of 349 figure PDFs from published CVPR/ICCV/ECCV/AAAI papers, then audits the result against a checklist of the things that make a diagram look machine-generated. Works from a paper section, an abstract, a method description, a PyTorch nn.Module source tree, or an mmengine/mmdet `model = dict(...)` config — 根据代码出图、根据论文内容出图. Do not use for data plots — bar charts, curves, heatmaps, scatter and