nature-reader
This skill transforms academic paper sources like PDFs, DOIs, arXiv links, publisher HTML pages, or pasted text into a comprehensive Markdown reader. It generates full Chinese-English side-by-side content, intelligently extracts and places figures/tables, preserves original layouts, and maintains precise source anchors, significantly boosting the efficiency of academic literature review and analysis. This Skill helps researchers, students, and professionals quickly digest complex papers, ensuring information accuracy and traceability, thereby accelerating knowledge acquisition and research progress.
npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-readerBefore / After Comparison
1 组Before using this skill, users had to manually read and translate academic papers, spending significant time extracting figures/tables and formatting them. This was inefficient and often led to loss of original context or formatting during copy-pasting, resulting in misunderstandings or incorrect data citations.
This skill automates the generation of high-quality Chinese-English side-by-side Markdown readers, automatically extracts and precisely places figures/tables, and preserves all source anchors. This significantly reduces paper processing time, ensures content accuracy and integrity, allowing users to focus more on content comprehension and research.
Full-Paper Markdown Reader — Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (core principles, the reading workflow, the output contract, and per-source-format extraction guidance). - A dynamic layer (this file plus
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.
Routing protocol
Follow these five steps every time the skill is invoked.
1. Load the manifest and the core layer
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.
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:
- Core principles (
core/principles.md) — bilingual reader by default, translate for meaning, never degrade to a summary, copyright caution. - Source-format fragment — how to extract text, figures, and tables for this input.
- Reading workflow (
core/workflow.md) — the six-step source-map-first process. - Output contract (
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.
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. - answering follow-up questions with source citations →
references/grounding-rules.md.
Why this split
- The static layer is versioned and reviewable. Adding a new source format is one new fragment plus one manifest line.
- The dynamic layer keeps each invocation cheap: only the fragment relevant to this input enters context.
- The router itself is short on purpose. Update fragments, not this file, when adding scope.
- This structure mirrors
nature-writingandnature-polishingso shared content lives in_shared/.
nature-reader
Markdown-first reading workflow for full papers.
What it does
nature-reader turns a PDF, DOI, arXiv link, publisher HTML page, or pasted manuscript into a complete Markdown reading artifact with:
- paragraph-level original text and Chinese translation in prose form
- extracted figures and tables placed near the discussion that first substantively references them
- original captions plus Chinese caption translations
- stable page and block anchors for traceability
- tight figure crops and a full-document source map
Primary outputs
paper.mdsource_map.jsontranslation_notes.mdassets/
reader.html can be generated as a secondary preview, but the skill is Markdown-first and does not default to an interactive Q&A panel.
Trigger phrases
Use this skill when the user asks for:
- full-paper translation
- 原文对照
- 中英文对照
- 图文对应
- 图表提取
- 翻译解读
- 全文 Markdown
- paper md
- source-grounded reading notes
Notes
Do not use this skill for summaries, keyword bullets, or citation-only search tasks.
When triggered, do not output only a Chinese summary. The default artifact is paper.md with visible Original / 中文 pairs and figure/table cards inserted at the relevant source locations.
User Reviews (0)
Write a Review
No reviews yet
Statistics
User Rating
Rate this Skill