From nature-skills
Builds full-paper Chinese-English side-by-side Markdown readers from PDF, DOI, arXiv, HTML, or pasted text, preserving figures, tables, and source anchors. Activates on paper reading/translation requests (e.g., "read this paper", "论文翻译").
How this skill is triggered — by the user, by Claude, or both
Slash command
/nature-skills:nature-readerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill is split into two layers:
README.mdevals/evals.jsonmanifest.yamlreferences/figure-extraction.mdreferences/grounding-rules.mdreferences/output-spec.mdstatic/core/output-contract.mdstatic/core/principles.mdstatic/core/workflow.mdstatic/fragments/source/doi-arxiv.mdstatic/fragments/source/html.mdstatic/fragments/source/pasted-text.mdstatic/fragments/source/pdf-text.mdstatic/fragments/source/scanned-pdf.mdThis skill is split into two layers:
static/ that holds versioned, reusable content fragments (core principles, the reading workflow, the output contract, and per-source-format extraction guidance).manifest.yaml) that detects the request's source format and loads only the fragments needed for the current job.Do not try to apply the reading logic from memory or from this router. Always load fragments from disk as described below.
Follow these five steps every time the skill is invoked.
Read manifest.yaml. It declares the source_format axis, the allowed values, and the file paths each value maps to.
Also read every file listed under always_load. These hold the core principles, the reading workflow, and the output contract that apply to every reading job, plus the shared Terminology Ledger used to build the recurring-term table.
Decide the source_format value using the manifest's detect: hint and the user's input:
pdf-text — selectable-text PDF. Default.scanned-pdf — image-only or OCR-required PDF.html — publisher or preprint HTML page.doi-arxiv — a bare DOI or arXiv link that must be resolved first.pasted-text — pasted prose or notes with no retrievable original layout.State the detected value in one short line to the user before processing, so they can correct you cheaply. A source may map to more than one value (for example a DOI that resolves to a PDF); load the resolution fragment first, then the fragment for the resolved artifact.
Read the file mapped for the detected source_format. Do not read every fragment in static/. Load only what step 2 selected.
Apply the loaded fragments in this priority order:
core/principles.md) — bilingual reader by default, translate for meaning, never degrade to a summary, copyright caution.core/workflow.md) — the six-step source-map-first process.core/output-contract.md) — required files and the pre-response verification checklist.Build the Terminology Ledger as you translate (../_shared/core/terminology-ledger.md); it becomes the paper.md recurring-term table and the source_map.json glossary.
If constraints prevent full processing, still create a draft reader and label missing pages, figures, or low-confidence crops in translation_notes.md. Do not switch to summary mode.
The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest:
references/figure-extraction.md.paper.md / source_map.json → references/output-spec.md.references/grounding-rules.md.nature-writing and nature-polishing so shared content lives in _shared/.npx claudepluginhub yuan1z0825/nature-skills --plugin nature-skillsExtracts implementation-focused notes from scientific paper PDFs by converting pages to images and reading them. Handles <=50pp directly or chunks larger papers. Outputs structured notes to papers/ directory.
Processes research paper PDFs from local paths, URLs, or arXiv; extracts metadata, content, links; generates study materials in user's language for deep analysis.
Transforms academic PDFs into technical articles via MinerU Cloud API parsing of images, tables, formulas. Supports storytelling/academic/concise styles, optional formula explanations, GitHub code analysis. Outputs Markdown/HTML.