Paper Reading
Turn PDFs and preprints into decision-ready notes, literature comparisons, and reproduce-or-skip judgments before you build on a paper’s claims.
Overview
paper-reading is an agent skill most often used in Idea (also Validate, Build) that reads research papers and outputs decision-oriented notes, comparisons, and implementation takeaways.
Install
npx skills add https://github.com/yishuai778/paper-reading --skill SKILL.mdWhat is this skill?
- Produces decision-oriented notes: contributions, methods, datasets, benchmarks, and limitations
- Supports multi-paper comparison and lightweight literature overviews
- Answers whether a paper is worth reproducing for your stack and timeline
- Turns dense papers into implementation takeaways an agent can act on
- Triggers on English and Chinese phrasing (精读, 文献综述, 值不值得复现)
Adoption & trust: 26 GitHub stars.
What problem does it solve?
You have a stack of papers but no structured way to compare methods, spot weak benchmarks, or decide if reproduction is worth your sprint.
Who is it for?
Solo builders evaluating ML/AI papers, agent techniques, or academic baselines before choosing an architecture or dataset.
Skip if: Teams that already have a peer-reviewed internal spec and only need boilerplate code generation with no literature review.
When should I use this skill?
Whenever someone wants to read, summarize, analyze, compare, or review papers; build a literature overview; extract methods, datasets, benchmarks, or limitations; judge reproduce-worthiness; or asks to 读这篇论文 / 精读 / 文献综述
What do I get? / Deliverables
You get scannable notes with contributions, limits, and experiment details so you can scope a prototype or implementation plan with explicit tradeoffs.
- Structured paper notes with contributions and limitations
- Multi-paper comparison matrix when requested
- Reproduce-or-skip recommendation with rationale
Recommended Skills
Journey fit
Spans multiple journey phases - primary shelf plus alternate fits below.
Literature reading is the canonical start of the solo-builder journey when you are still choosing what to build or which technique to adopt. Research subphase is where paper summaries, benchmarks, and limitation extraction belong—not post-launch analytics.
Where it fits
Compare three RAG papers’ retrieval tricks before picking a baseline for your agent product.
Extract what incumbents cite as SOTA so your positioning doc matches published benchmarks.
Decide whether a diffusion fine-tuning paper is reproducible on a single GPU budget.
Turn the methods section into an implementation checklist with datasets and hyperparameters called out.
How it compares
Use instead of pasting PDFs into chat for one-off summaries when you need repeatable compare-and-decide structure across many papers.
Common Questions / FAQ
Who is paper-reading for?
Indie builders and small teams who rely on agent coding assistants and need rigorous, comparable paper notes without hiring a research engineer.
When should I use paper-reading?
In Idea while researching competitors and SOTA methods, in Validate when a landing or prototype depends on a paper’s claims, and in Build when you need method-aligned implementation checklists from the source literature.
Is paper-reading safe to install?
Review the Security Audits panel on this Prism page and only point the skill at papers you are allowed to process; it does not substitute for license checks on copyrighted full text.
SKILL.md
READMESKILL.md - Paper Reading
Read research papers and turn them into clear, decision-oriented notes, comparisons, and implementation takeaways. Use this skill whenever someone wants to read, summarize, analyze, compare, or review papers; build a literature overview; extract methods, datasets, benchmarks, or limitations; judge whether a paper is worth reproducing; or turn papers into actionable notes. Also trigger on requests like '读这篇论文', '帮我总结 paper', '精读这篇', '对比这几篇论文', '做文献综述', '提炼贡献/局限/实验设置', '这篇值不值得复现', or '把论文讲明白'. # paper-reading { "name": "paper-reading", "description": "Read research papers and turn them into clear, decision-oriented notes, comparisons, and implementation takeaways. Use this skill whenever someone wants to read, summarize, analyze, compare, or review papers; build a literature overview; extract methods, datasets, benchmarks, or limitations; judge whether a paper is worth reproducing; or turn papers into actionable notes. Also trigger on requests like '读这篇论文', '帮我总结 paper', '精读这篇', '对比这几篇论文', '做文献综述', '提炼贡献/局限/实验设置', '这篇值不值得复现', or '把论文讲明白'." }