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npx skills add yuan1z0825/nature-skills --skill nature-reader -a claude-code -yFirst 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.--- name: nature-reader description: "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." metadata: version: "2.1.1" author: Community contribution, refactored into static/dynamic layers --- # Full-Paper Markdown Reader — Router ## Routing protocol 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. ### 1. Load the manifest and the core layer Read [manifest.yaml](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. ### 2. Detect the source format 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. ### 3. Load the matching fragment(s) Read the file mapped for the detected `source_format`. Do **not** read every fragment in `static/`. Load only what step 2 selected. ### 4. Build the reader using the loaded material Apply the loaded fragments in this priority order: 1. Core principles (`core/principles.md`) — bilingual reader by default, translate for meaning, never degrade to a summary, copyright caution. 2. Source-format fragment — how to extract text, figures, and tables for this input. 3. Reading workflow (`core/workflow.md`) — the six-step source-map-first process. 4. Output contract (`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. ### 5. Reach for references only when needed The files under `references/` are deep references, not defaults. Open them on demand per the `references.on_demand` table in the manifest: - detailed figure/table cropping and placement → `references/figure-extraction.md`. - exact field schema for `paper.md` / `source_map.json` → `references/output-spec.md`. - equations, mathematical expressions, chemical formulae, or image-only formulae → `references/equation-handling.md`. - answering follow-up questions with source citations → `references/grounding-rules.md`.