
Nature Polishing
Built for researchers who need to get academic manuscripts into Nature-level English. This handles everything from Chinese drafts to structurally messy abstracts, checking argument logic before sentence polish. It draws on curated Nature and Nature Communications patterns plus Academic Phrasebank for phrasing. The core discipline is honest: it won't invent data or let you hide weak reasoning under good prose. Knows the hourglass structure, section-specific jobs, and the difference between Results (what happened) and Discussion (what it means). Useful when you're stuck between "technically correct" and "publication ready," or when you need to rebuild a draft that answers questions in the wrong order. Version 5.0.2 from Yuan1z, rebuilt from course notes.
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- 7
- skills.sh installs
- 18.6K
- GitHub stars
- 52.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add yuan1z0825/nature-skills --skill nature-polishing --agent claude-codeInstalls into .claude/skills of the current project.
Files
Nature-Style Academic Polishing — Router
Routing protocol
For a new polishing task, follow the routing below. For follow-up edits, reuse established task choices and already loaded guidance; read additional fragments only when the requested scope changes.
1. Load the manifest and the core layer
Read manifest.yaml. It declares the axes (paper_type, section, language, journal), the allowed values, and the file paths each value maps to.
Also read every file listed under always_load. These hold the default stance, failure-mode diagnosis, ethics, and output format that apply to every polish job.
2. Detect the axis values for this request
For each axis in the manifest, decide the value using the manifest's detect: hint and the user's input:
Sponsors
Details
- Repository
- github.com/yuan1z0825/nature-skills
- Categories
- Frontend Development, Documentation, Code Review & Quality, Office & Documents
- First seen
- May 16, 2026