nature-reader
Build full-paper Chinese-English side-by-side, figure/table-aware, source-grounded Markdown readers for journal or conference papers from PDF, DOI, arXiv…
Skill by ypan50918-ops
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ypan50918-ops-nature-reader
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: documents, frontend, research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/nature-reader
What's inside
- Skill name
nature-reader- Description
- 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.
- License
- Apache-2.0
- Instructions
- 64 lines in SKILL.md · view on GitHub
Files (17)
- README.md
- README_EN.md
- SKILL.md
- evals.json · evals/
- manifest.yaml
- article-anatomy.md · references/
- figure-extraction.md · references/
- grounding-rules.md · references/
- output-spec.md · references/
- output-contract.md · static/core/
- principles.md · static/core/
- workflow.md · static/core/
- doi-arxiv.md · static/fragments/source/
- html.md · static/fragments/source/
- pasted-text.md · static/fragments/source/
- pdf-text.md · static/fragments/source/
- scanned-pdf.md · static/fragments/source/
SKILL.md (first lines)
# 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](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`. - 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-writing` and `nature-polishing` so shared content lives in `nature-shared/`.
From ypan50918-ops/Yuan1z0825-nature-skills, Apache-2.0.
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Audit, revise, or draft manuscript statistical reporting for Nature / high-impact journal submissions.
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Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles…
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Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts.
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Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R…
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Convert scientific papers, theses, technical reports, source code, figures, inventor notes, or research manuscripts into evidence-grounded Chinese invention…
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Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article…
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Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer response letters, rebuttal letters, revision cover letters…
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nature-reviewer
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Simulate a Nature-style reviewer assessment from the referee perspective rather than an author rebuttal.
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Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Jul 15, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.479score
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Draft, audit, or revise Nature-style revision correspondence packages: point-by-point reviewer response letters, rebuttal letters, revision cover letters…
SkillCFreshness: CClaude Code +9 - 0.479score
nature-polishing
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Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article…
SkillCFreshness: CClaude Code +9 - 0.479score
nature-figure
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Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R…
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nature-data
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Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts.
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Cite this page
nature-reader skill. Agent Mart. https://agentmart.dev/skills/ypan50918-ops-nature-reader (last updated 2026-10-24)