Nature Skills repository banner with a research robot and its literature, writing, review and figure workflows.
Project screenshotsAbout this Skill
Build a structured paper-reading card covering methods, evidence chains, limitations and testable research ideas.
Why we picked it
A focused workflow within Nature Skills. The upstream index labels it Beta. Preserve the complete directory; review the generated result against your own sources.
What it helps with
- Build a structured paper-reading card covering methods, evidence chains, limitations and testable research ideas.
Purpose and upstream maturity
Build a structured paper-reading card covering methods, evidence chains, limitations and testable research ideas.
The repository index labels this workflow Beta. Read its instructions and references before choosing the tools and reviewing its outputs.
Install the complete workflow
Select the frontmatter name nature-paper-card. Preserve scripts, references and assets. Open a fresh agent session after installation.
| Command | What it helps with |
|---|---|
npx skills add Yuan1z0825/nature-skills --agent codex --skill nature-paper-card --yes --copy | Install for Codex in the current project. |
npx skills add Yuan1z0825/nature-skills --agent claude-code --skill nature-paper-card --yes --copy | Install for Claude Code in the current project. |
Nature Paper Card instructionsRepository installationAgent framework integrations
Before you use it
- An agent that can read complete local Skill directories and run the tools required by the selected workflow. Upstream documents Claude Code, Codex, OpenCode and Hermes integrations.
- Keep the whole Skill folder, including scripts, references and assets. Preserve the sibling nature-shared package whenever the workflow references it.
- Model access, Python/R packages, MCP services, browser logins and external API credentials are configured separately when required. Installing Skill files does not install these dependencies.
Supported agents
Sources & references
Original sources are linked below. Practical starting points are editorial suggestions from SkillHey.
