npx skills add ...
npx skills add yuan1z0825/nature-skills --skill nature-reader
Create source-grounded Chinese-English paper readers with aligned text, figures, tables, and equations. Use for 全文翻译、中英文对照、论文精读 or source-linked questions about a paper; respect a requested excerpt or question without generating a full reader.
npx skills add yuan1z0825/nature-skills --skill nature-reader
First distinguish creating a reader from answering a question or translating an excerpt.
For a source-linked question, read references/grounding-rules.md and inspect only the relevant
source material; reuse existing source-map IDs when available. Do not regenerate the reader or
require a full source map before answering. For an explicit excerpt request, apply extraction,
translation, and grounding rules to that excerpt. The full-artifact workflow below applies when
the user requests a reader or full-paper translation.
For a new task, load the core and matching resources below. Reuse already loaded guidance on follow-ups; load more only when the task needs it.
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 (../nature-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/equation-handling.md.references/grounding-rules.md.