yuan1z0825 logo
Observability

Real file from a public repo · synced Sep 3, 2026

nature-paper-card

Build a source-grounded deep-reading Paper Card for one scientific paper, preprint, PDF, DOI, arXiv page, publisher article, or pasted paper text. Use when the user asks for a Paper Card, deep-reading literature card, single-paper deep analysis, module-by-module analysis, experiment-to-claim evidence chain, conclusion-boundary audit, critical analysis, knowledge connections, or candidate research ideas. Produce the fixed Sections 01-16 covering bibliographic position, research question, background route, pain point, core insight, method and module logic, essential formulas, experiment-to-claim evidence, conclusion boundaries, author-stated limitations, critical analysis, learned knowledge, knowledge connections, and testable research ideas. Do not use for full-paper bilingual translation, formal peer-review reports, batch literature monitoring, academic-English collection, comprehension quizzes, or public-article writing.

yuan1z0825/nature-skills4.8k installsApache-2.0

Works with

Claude CodeCursorCodex CLIGitHub CopilotGemini CLI

Install in three steps

  1. 1

    Download the ZIP

    One file per agent, plus INSTALL.md with the exact paths below.

  2. 2

    Claude Code: copy SKILL.md into your skills folder

    .claude/skills/nature-paper-card/SKILL.md    # this project
    ~/.claude/skills/nature-paper-card/SKILL.md   # every project
  3. 3

    Other agents: use the matching file

    skill.mdc goes in Cursor’s .cursor/rules/. AGENTS.md works as GitHub Copilot instructions, a legacy .cursorrules, or a Codex / Gemini CLI instructions file.

More Observability skills

All Observability skills

Check your AI visibility

One URL in, a 0–100 score and the exact fixes out.

RUN THE CHECK

Browse all the tools

15 tools across six categories
13 of them never send your data anywhere

Free · No signup · No trial clock

SEE THE DIRECTORY