paper-reading
Skill2 starsChanged 5 months agoLicence not identifiedView on GitHub
Read a real academic paper (arXiv PDF / local PDF / markdown) and produce a structured reading card a researcher would use. Use when the user gives a paper and wants to understand it, summarize it, critique it, or decide whether to read it fully. Outputs: one-sentence claim, contribution type, method summary, dataset/baselines/metrics with numbers QUOTED WITH PAGE ANCHORS, stated limitations, and a reviewer-style critique. Discipline: every number traced to a page in the full text (not the abstract); say "not stated in paper" rather than fabricate.
- Installs packages
20 other projects use a version of this.
Adopted by
Most recently taken up by
- crce-ux/paper-readingtheir own version, first seen Nov 8, 2026
- paratrooper-vincent/paper-readingtheir own version, first seen Nov 1, 2026
- xiaofengShi/paper-reading-skilltheir own version, first seen Oct 26, 2026
- jinxiy1104/Obsidian_Paper_Ingestion_Skilltheir own version, first seen Oct 20, 2026
- BH2-4/paper-craft-pipelinetheir own version, first seen Oct 20, 2026
- techdou/paper-readingtheir own version, first seen Oct 20, 2026
Other versions20 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 20
- voidful/academic-skills★ 126same name
- jxtse/scientific-research-skills★ 68same name
- Immortalqx/my_codex_skills★ 54same name
- Agentchengfeng/paper-reading-skills★ 28same name
- Kingslayer-bot/paper-reading-skill★ 28same name
- a1henu/paper-reading-skill★ 11same name
- xiaofengShi/paper-reading-skill★ 11same name
- Shen-An/learn-skill★ 5same name
- techdou/paper-reading★ 5same name
- JinukMoon/agent-skills★ 4same name
10 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository4 other files it gives its agents.
The file
We split this skill into the rules it gives an agent
6 rules. 0 are common, 3 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.