# 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

Repository: https://github.com/zsyggg/paper-craft-skills
Canonical: https://ross.abutalabs.com/products/paper-craft-skills
Language: Python
License Family: other
Topics: academic, ai-tools, arxiv, claude-code, paper-reading, pdf-analysis, research, skills
Last push: 2026-05-29T05:42:08+00:00

## Health v2 (maintenance only)
Score: 53/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 84, release rhythm 35, longevity 15
- inputs: {"age_days": 222, "days_push": 96, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1080, forks 68 (observed 2026-08-28T04:03:29.978942+00:00)

## What it is
A collection of Claude Code / Codex agent skills that turn academic papers into method figures, visual slide decks, and in-depth HTML articles. It includes paper-comic for diagrams, paper-analyzer for deep-dive articles, and paper-deck for PPTX/PDF slide generation.

## Use cases
- summarize academic papers from arxiv links
- generate method figures from a research paper
- turn a paper into a slide deck
- create deep-dive articles explaining a paper
- make hand-drawn sketchnote style study notes from papers
- convert PDF papers into visual presentations

## When to choose
- you use Claude Code, Codex, Cursor, or Windsurf and want zero-config paper analysis
- you need publication-style diagrams or explorable articles from papers
- you want automated PPTX/PDF slide decks from research papers

## When to avoid
- you need a standalone tool that runs without an AI coding agent
- you require a permissively licensed dependency (no license is provided)
- you need offline processing without an LLM agent

## Facets
- artifact type: plugin
- maturity: active
- function: nlp, pdf, data-visualization, image-processing, llm-inference, documentation
- domain: artificial-intelligence, large-language-models, education, developer-tools, pdf
- platform: python, cli, cross-platform
- tags: claude-code-skills, academic-papers, arxiv, paper-summarization, slide-generation, method-figures, agent-skills

## Member repositories
- zsyggg/paper-craft-skills (main) score 53

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:29.978942+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:53:01.191238+00:00, confidence not recorded.
  - readme: https://github.com/zsyggg/paper-craft-skills (fetched 2026-08-28T04:03:29.978942+00:00, sha feaf36dcae4d)
- Data as of 2026-08-30T08:39:29.467469+00:00.