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zsyggg paper-craft-skills

Claude Code skills for academic papers: deep analysis, comics, summaries | 论文工艺:深度解读、漫画生成、速览总结

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paper-craft-skills

English | 中文

Turn academic papers into polished method figures, visual slide decks, and in-depth articles — zero config, one command.

Transformer architecture — generated from Attention Is All You Need

From arxiv link to publication-ready visuals, AIGC slide decks, and deep-dive articles.
Drop a paper, pick a style, get output that looks like a human expert made it.


How to install

Copy this into Codex or Claude Code:

Please install zsyggg/paper-craft-skills for me.
GitHub: https://github.com/zsyggg/paper-craft-skills

That's it. The agent handles clone, symlink, and registration. No API keys. No accounts. If you prefer a terminal:

npx skills add zsyggg/paper-craft-skills

Works with: Codex · Claude Code · Cursor · Windsurf


What's inside

🎨 paper-comic

Paper → Method Figures


Transformer architecture — generated from Attention Is All You Need


Reads your paper → proposes what to draw → you confirm → generates.

Style Vibe
paper-figure Publication-grade diagrams
sketchnote Bright, warm hand-drawn study notes

📄 paper-analyzer

Paper → Deep Articles


Paper → polished HTML article with formulas, code cross-reference, and choice of style


Reads the full paper → searches GitHub for code → writes in your chosen style.

Feature
🌐 Output HTML — share anywhere, read on mobile
📐 Formulas KaTeX rendering
📊 Diagrams Mermaid architecture charts
⚡ Setup Zero config — no API keys

🖼️ paper-deck

Paper → Visual Slide Deck


Paper/article → analysis → outline → visual prompts → PPTX/PDF


Reads your paper → plans the deck → generates slide images → exports PPTX/PDF.

Output
🎞️ Slides 16:9 visual pages
📦 Export .pptx + .pdf
🛠️ Edits Regenerate any page

paper-deck — Visual slide decks that don't look like templates

paper-deck turns a paper, article, or technical note into a designed slide deck. It first builds a deck brief and slide-by-slide outline, then writes reproducible visual prompts, generates polished 16:9 slide images, and merges them into .pptx and .pdf.

It is built for iteration: every page has its own prompt, so you can ask for precise changes like “make slide 5 more journal-like”, “replace slide 8 with a real benchmark chart”, or “keep the layout but switch the cover to liquid glass”.


Four compact style presets for the same paper topic

Style Best for
journal-minimal Nature/IEEE-inspired academic decks and thesis defenses
business-research Strategy memos, industry research, investor/client briefings
warm-notes Study-note explanations, teaching, approachable paper walkthroughs
liquid-glass Apple-inspired visual chapters, covers, and high-impact section pages

It also supports real source visuals. When a PDF contains strong figures, tables, plots, or screenshots, the skill plans which slides should use them, where they should be cropped, and how they should be framed. Real visuals can be mounted into clean academic panels, evidence blocks, or glass-style layouts instead of being hallucinated from scratch.

/paper-deck https://arxiv.org/abs/1706.03762
/paper-deck /path/to/paper.pdf --style journal-minimal --slides 12
/paper-deck notes.md --style liquid-glass

paper-comic — How it works

/paper-comic https://arxiv.org/abs/1706.03762

Reads the paper, then recommends:

  I suggest 6 figures:
  1. Cover: one-line contribution + visual anchor
  2. Transformer architecture overview
  3. Self-attention mechanism
  4. Multi-head attention detail
  5. Encoder / Decoder Block
  6. Key results

  Or generate only 1 overview figure, or expand to 8 detailed mechanism figures.
  Language? [Chinese / English]  Style? [sketchnote / paper-figure]  Scope and count?

Example outputs


paper-figure — clean, publication-grade


sketchnote — bright, warm, approachable

Full walkthrough: examples/paper-illustrated/attention-is-all-you-need


paper-analyzer — Deep articles that read like a human expert wrote them

Not a paper translator — a re-interpreter. It reads the full paper, searches GitHub for open-source implementations, cross-references code with the paper, and writes in your chosen style.

Three writing styles

Style Reads like Use it for
storytelling A viral blog post — hooks, analogies, golden takeaway WeChat, Twitter, blogs
academic A peer-reviewed deep dive — KaTeX formulas, comparison tables Lab meetings, lit reviews
concise A cheat sheet — Mermaid diagram + key data table Quick understanding

Features


Formula Explanation
Extracted paper formulas with symbol-by-symbol breakdown

Code Analysis
Aligns paper concepts with the GitHub source code
/paper-analyzer https://arxiv.org/abs/1706.03762     # arxiv link
/paper-analyzer /path/to/paper.pdf                     # local PDF
/paper-analyzer                                         # then paste text

License

MIT


Star History

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Created: Jan 23, 2026

Last push: May 29, 2026

Default branch: main

Languages

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  • Python 100.0%

Repository Radar analysis

Deterministic insights derived from public metadata and our observations — not personal testing or reviews.

Why this repository is interesting

  • Listed in our discovery index with public GitHub metadata for analysis.

Who should use it

  • Developers working primarily with Python
  • Teams exploring AI tooling, agents, or ML infrastructure

Potential use cases

  • Reference or evaluate Python open-source approaches in this domain
  • Prototype AI/agent workflows or study reference architectures

Strengths

  • README present in our index

Limitations / considerations

  • License not recorded in our index — confirm on GitHub before production use

What to watch

  • Radar Score is modest — dig into activity and docs before committing

Source: GitHub (public metadata) + Repository Radar analysis. We do not claim ownership of third-party repositories.

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