Install
openclaw skills install nature-paper-hubFull-pipeline Nature-series journal writing assistant. Covers journal selection, literature review, manuscript drafting, figure generation, citation verification, pre-submission audit, cover letter, and reviewer response. Trigger when user wants to write, revise, or submit a Nature-series research paper, or needs help with any part of the academic writing process.
openclaw skills install nature-paper-hubFull-pipeline Nature-series journal writing assistant. Trigger when the user wants to:
Multi-language: interact in Chinese or English; all manuscript output is in English.
~/.openclaw/workspace/skills/nature-paper-hub/
Always run this stage first unless the user has already specified a journal.
Present this menu and ask the user to choose:
📋 请选择目标期刊 / Select target journal:
1. Nature (IF 63.7) — 顶级综合科学
2. Nature Materials (IF 37.2) — 材料科学
3. Nature Chemistry (IF 19.2) — 化学
4. Nature Energy (IF 60.9) — 能源
5. Nature Catalysis (IF 37.8) — 催化
6. Nature Sustainability (IF 25.1) — 可持续发展
7. Nature Communications (IF 15.7) — 全科学,开放获取,最灵活
8. Nature Methods (IF 32.1) — 方法学
9. Nature Computational Science (IF 12.0) — 计算科学
10. Nature Chemical Engineering (IF 13.0) — 化学工程
11. Nature Machine Intelligence (IF 23.9) — 机器学习/AI/机器人
12. Nature Synthesis (IF 20.0) — 合成化学与材料合成
13. 其他 / Other — 请告诉我期刊名
After selection, load the corresponding entry from templates/journal-specs.json and display:
Then ask: "您的论文类型是 Article 还是 Letter?"
Nature Synthesis (选12):
Nature Machine Intelligence (选11):
Nature Chemical Engineering (选10):
Ask the user:
Use the LitReview system at https://ybliterature.com/api/search?q=<query> to search for related papers. Also use web_search with queries like:
site:nature.com "<topic>" filetype:pdfarxiv.org "<topic>" Nature-styleSearch for 3–5 open-access papers from the target journal as structural templates:
Search query: site:nature.com/[journal-shortname] "<topic keyword>" open access
For each found paper, extract:
Present the user with: key gap in literature, positioning suggestion, and 3–5 recommended template papers.
Ask: "Has anyone published very similar work in the past 2 years?" Run a targeted web search. Report findings honestly — if there's overlap, suggest how to differentiate.
Based on the journal selected and paper type, generate a tailored outline.
Title: [concise, ≤15 words, no abbreviations]
Abstract: [150 words — context → problem → approach → key result → significance]
Introduction
¶1 Broad context and importance
¶2 Specific background — what is known
¶3 The gap or unsolved problem
¶4 Your approach and key findings (end: "Here we report...")
Results
Section 1: [Synthesis/Preparation/Model — first evidence]
Section 2: [Characterization/Validation — structural/spectroscopic proof]
Section 3: [Mechanism/Explanation — why it works]
Section 4: [Performance/Application — how good it is]
Section 5: [Generalizability/Comparison — how broad/better]
Discussion
¶1 Summary of key findings
¶2 Comparison with literature
¶3 Mechanistic interpretation
¶4 Limitations + future work
¶5 Broader impact (1 sentence)
Methods [~3000 words, after refs for most journals]
- Materials/Reagents
- Synthesis/Preparation
- Characterization techniques
- Computational details (if applicable)
- Statistical analysis
References [numbered, order of appearance]
Figure Legends [detailed, self-contained]
Extended Data [optional, up to 10 items]
Adjust the outline based on paper type and journal. For Nature Communications: Methods sits within the main text after Discussion.
Ask the user to review and modify the outline before proceeding.
Work through each section one at a time. Ask for the user's raw data/notes for each section, then draft in Nature style.
📊 After drafting abstract — always run word count check:
Current word count: [X] / [journal limit]
Status: [✅ within limit | ⚠️ X words over — suggest cuts below]
If over limit, suggest specific cuts: remove adjectives, merge sentences, cut background context.
After delivering each drafted section, immediately evaluate it from a Nature reviewer's perspective:
📋 Self-critique — [Section Name]:
✅ Strengths:
- [what works well]
⚠️ Weaknesses / likely reviewer concerns:
- [specific issue 1: e.g., "Claim in ¶2 lacks quantitative support"]
- [specific issue 2: e.g., "Mechanism not distinguished from alternative explanations"]
- [specific issue 3: e.g., "'Significantly' used without p-value"]
💡 Suggested improvements:
- [concrete fix for each weakness]
Do NOT skip this step. If the user wants to proceed anyway, acknowledge the risks.
Ask user: how many figures do you have data for? (Must be ≤ journal limit)
For each figure, guide:
Figure X: [What story does this figure tell?]
Panel (a): [Data type] — [Message]
Panel (b): [Data type] — [Message]
Panel (c): [Data type] — [Message]
Design rules:
- Each figure tells ONE clear story
- Panel a = overview/schematic; subsequent panels = evidence
- Resolution: 300 DPI min (600 DPI for line art)
- Font: Arial or Helvetica, ≥7pt in final printed size
- Color: accessible palette (avoid red-green for colorblind readers)
- Scale bars: always include for microscopy images
- Statistical indicators: *, **, *** for significance; exact p-values preferred
Suggest figure order: schematic → characterization → mechanism → performance → application
For each reference cited in the manuscript:
"[author] [year] [journal] [abbreviated title]""[paper title] retraction"1. LastName, A., LastName, B. & LastName, C. Title of paper. Journal Vol, pages (Year).
Flag any:
If user pastes a list of references in any format (Google Scholar export, DOI list, messy copy-paste):
web_fetch("https://api.crossref.org/works/<DOI>").bib BibTeX block for the entire listTrigger phrase: "帮我格式化引用" / "format my references" / "整理参考文献"
Run through this checklist before export:
After checklist is complete, automatically generate a cover letter:
[Date]
Dear [Editor-in-Chief / Editors of {Journal}],
We are pleased to submit our manuscript entitled "[Title]" for consideration
as a [Article/Letter] in [Journal].
[Paragraph 1 — The problem and why it matters: 2–3 sentences]
Despite significant progress in [field], [specific gap or challenge] remains
unsolved. Addressing this challenge is critical because [broader impact].
[Paragraph 2 — What you did and key results: 2–3 sentences]
Here, we report [approach/method] that [key result with quantitative data].
Notably, [most impressive finding, e.g., "our catalyst achieves X% efficiency,
surpassing the previous record of Y%"].
[Paragraph 3 — Why this fits the journal: 1–2 sentences]
We believe this work is particularly suited for [Journal] as it [addresses
broad scientific question / introduces paradigm shift / will interest readers
across [disciplines].
This manuscript has not been published elsewhere and is not under consideration
by any other journal. All authors have approved the submission.
We suggest the following reviewers: [Name, Affiliation, email] ...
Thank you for your consideration.
Sincerely,
[Corresponding Author]
[Affiliation, email]
Adjust tone based on journal prestige: Nature/Nature Materials → more assertive; Nature Communications → slightly more measured.
Ask user: "导出格式?Overleaf (LaTeX) 还是 Word (.docx)?"
templates/nature-latex.texmain.tex and references.bib (BibTeX format)~/Downloads/nature-paper-[journal]-[date]/)python3 ~/.openclaw/workspace/skills/nature-paper-hub/scripts/export_docx.py~/Downloads/nature-paper-[journal]-[date].docxWhen the user receives reviewer comments:
First, parse and classify every comment:
📊 Reviewer Comment Triage:
Reviewer 1:
Comment 1: [summary] → 🔴 Major | Needs new experiment
Comment 2: [summary] → 🟡 Major | Needs clarification/additional analysis
Comment 3: [summary] → 🟢 Minor | Text revision only
Comment 4: [summary] → ✅ Valid concern | ❌ Disagree — evidence-based
Reviewer 2:
...
📋 Revision Strategy:
New experiments needed: [list]
New analyses needed: [list]
Text-only revisions: [list]
Planned disagreements: [list with justification]
Estimated revision effort: [X weeks]
Present this triage to the user and confirm strategy before writing responses.
For each comment (after triage confirmed):
**Reviewer X, Comment Y:** [🔴/🟡/🟢]
[Quote the comment exactly]
**Response:**
We thank the reviewer for this [insightful/constructive] comment.
[Acknowledge validity of concern.]
[Explain what you did: new experiment / clarification / revision]
[If adding data]: "We have added [X] to the revised manuscript (Fig. X / Line X)."
[If disagreeing]: "We respectfully disagree because [evidence-based reason with citation]."
**Manuscript change:**
[Quote revised text with line numbers, or state "no change required"]
After all responses:
The repo includes data/papers-index.json: 534 curated papers (titles, journals, years, abstracts, DOIs)
covering Nature portfolio, JACS, Angew. Chem., Adv. Mater., npj Computational Materials, and more.
Load and search it locally:
import json
with open('~/.openclaw/workspace/skills/nature-paper-hub/data/papers-index.json') as f:
index = json.load(f)['papers']
# Simple keyword match:
results = [p for p in index if query.lower() in (p['title']+p['abstract']).lower()]
Use for: finding relevant papers to cite, checking what's published, writing style reference.
API: GET https://ybliterature.com/api/search?q=<query> (requires authentication — owner use only) Always query Tier 1 first; use Tier 2 only when owner is running the session.
Example call: web_fetch("https://ybliterature.com/api/search?q=electrocatalysis+oxygen+evolution")
Before drafting Introduction, Results, or Discussion:
web_fetch("https://ybliterature.com/api/search?q=<topic>")
web_search("site:nature.com <topic> <year>")
For any paper found in LitReview or cited by the user:
web_fetch("https://api.crossref.org/works/<DOI>")
This returns: full author list, exact title, volume/pages, citation count, funder info. Use citation count as a proxy for impact when recommending references.
The user can say any of these to jump to a specific stage: