Build full-paper Chinese-English side-by-side, figure/table-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv, publisher HTML, or pasted text. Use whenever the user asks to translate or read a paper, make 中英文对照/原文对照/全文翻译解读, extract figures or tables into the right positions, preserve figure/table placement near relevant prose, or keep exact source anchors for every block. This skill must not degrade into a summary-only output unless the user explicitly asks for a summary. Also trigger on general paper-reading and translation requests even without the word "Nature", such as reading/translating an academic paper, literature reading, understanding a paper, and Chinese phrasings like 读论文、精读论文、论文翻译、文献翻译、文献阅读、学术阅读、帮我读这篇文章、翻译这篇paper.
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tessl review fix ./skills/nature-reader/SKILL.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 (../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/grounding-rules.md.nature-writing and nature-polishing so shared content lives in nature-shared/.703c150
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