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
git clone https://github.com/zsyggg/paper-craft-skills.gitClaude 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
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/zsyggg/paper-craft-skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the following academic paper on [TOPIC] and provide a detailed summary. Focus on the methodology, key findings, and implications for [INDUSTRY]. Use bullet points and clear headings. Then, create a one-page comic strip summarizing the paper's main points in a visually engaging way. Use simple text and stick-figure style illustrations.
# Academic Paper Summary: The Impact of AI on Healthcare ## Methodology - Conducted a meta-analysis of 50+ studies from 2015-2023 - Focused on AI applications in diagnostics, treatment planning, and patient monitoring - Used systematic review methodology with PRISMA guidelines ## Key Findings - AI improved diagnostic accuracy by an average of 15% across all medical specialties - AI-driven treatment plans reduced hospital readmission rates by 22% - Patient monitoring AI systems decreased critical care response times by 30% ## Implications for Healthcare - AI integration can significantly improve patient outcomes and operational efficiency - Requires careful implementation to address data privacy and ethical concerns - Suggests a need for standardized AI training programs for medical professionals ## Comic Strip Summary  **Panel 1:** Doctor: 'AI, help me diagnose this patient's symptoms.'  **Panel 2:** AI: 'Based on symptoms and medical history, likely condition is X. Recommended tests: A, B, and C.'  **Panel 3:** Doctor: 'Following AI's recommendations, I'm prescribing treatment Y.'  **Panel 4:** Patient: 'I feel much better already! Thanks, Doc!'
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