ai4scientist/nano-scientist/paper-write

Claude Code and agent skill by ai4scientist/nano-scientist

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Draft LaTeX paper section by section from an outline. Use when user says \"写论文\", \"write paper\", \"draft LaTeX\", \"开始写\", or wants to generate LaTeX content from a paper plan.

Install

npx vskill@latest install ai4scientist/nano-scientist/paper-write

SKILL.md

Paper Write: Section-by-Section LaTeX Generation

Draft a LaTeX paper based on: $ARGUMENTS

Constants

  • REVIEWER_MODEL = `gpt-5.4` — Model used via Codex MCP for section review. Must be an OpenAI model.
  • TARGET_VENUE = `ICLR` — Default venue. Supported: ICLR, NeurIPS, ICML, CVPR (also ICCV/ECCV), ACL (also EMNLP/NAACL), AAAI, ACM (ACM MM, SIGIR, KDD, CHI, etc.), IEEE_JOURNAL (IEEE Transactions / Letters, e.g., T-PAMI, JSAC, TWC, TCOM, TSP, TIP), IEEE_CONF (IEEE conferences, e.g., ICC, GLOBECOM, INFOCOM, ICASSP). Determines style file and formatting.
  • ANONYMOUS = true — If true, use anonymous author block. Set false for camera-ready. Note: most IEEE venues do NOT use anonymous submission — set false for IEEE.
  • MAX_PAGES = 9 — Main body page limit. For ML conferences: counts from first page to end of Conclusion section, references and appendix NOT counted. For IEEE venues: references ARE counted toward the page limit. Typical limits: IEEE journal = no strict limit (but 12-14 pages typical for Transactions, 4-5 for Letters), IEEE conference = 5-8 pages including references.
  • DBLP_BIBTEX = true — Fetch real BibTeX from DBLP/CrossRef instead of LLM-generated entries. Eliminates hallucinated citations. Zero install required. Set false to use legacy behavior (LLM search + [VERIFY] markers).

Inputs

  1. PAPER_PLAN.md — outline with claims-evidence matrix, section plan, figure plan (from /paper-plan)
  2. NARRATIVE_REPORT.md — the research narrative (primary source of content)
  3. Generated figures — PDF/PNG files in figures/ (from /paper-figure)
  4. LaTeX includes — figures/latex_includes.tex (from /paper-figure)
  5. Bibliography — existing .bib file, or will create one

If no PAPER_PLAN.md exists, ask the user to run /paper-plan first or provide a brief outline.

Orchestra-Guided Writing Overlay

Keep the existing insleep workflow, file layout, and defaults. Use the shared references below only when they improve writing quality:

  • Read ../shared-references/writing-principles.md before drafting the Abstract, Introduction, Related Work, or when prose feels generic.
  • Read ../shared-references/venue-checklists.md during the final write-up and submission-readiness pass.
  • Read ../shared-references/citation-discipline.md only when the built-in DBLP/CrossRef workflow is insufficient.

These references are support material, not extra workflow phases.

Optional: Style reference (— style-ref: <source>, opt-in)

Lets the user steer structural style (section ordering, theorem density, sentence cadence, figure density, bibliography style) toward a reference paper. Default OFF — when the user does not pass `— style-ref`, do nothing differently from before.

Only when — style-ref: <source> appears in $ARGUMENTS, run the helper FIRST, before drafting:

bash
if [ ! -f tools/extract_paper_style.py ]; then
echo "error: tools/extract_paper_style.py not found — re-run 'bash tools/install_aris.sh' to refresh the '.aris/tools' symlink (added in #174), or copy the helper manually from the ARIS repo" >&2
exit 1
fi
CACHE=$(python3 tools/extract_paper_style.py --source "<source>")
case $? in
0) ;; # use $CACHE/style_profile.md as structural guidance
2) echo "warning: style-ref skipped (missing optional dep)" >&2 ;;
3) echo "error: --style-ref source failed; aborting draft" >&2 ; exit 1 ;;
*) echo "error: helper failed unexpectedly; aborting draft" >&2 ; exit 1 ;;
esac

Sources accepted: local TeX dir / file, local PDF, arXiv id (2501.12345 or arxiv:2501.12345), http(s) URL. Overleaf URLs and project IDs are rejected — clone via /overleaf-sync setup <id> first and pass the local clone path.

Strict rules (full contract in tools/extract_paper_style.py docstring):

  • Use style_profile.md as structural guidance only. Match section count, section ordering tendency, theorem-environment density, caption-length distribution, sentence cadence, math display ratio, citation style.
  • Never copy prose, claims, examples, or terminology from anything reachable through the cache. The profile is intentionally aggregate; if you need substance, use the user's own outline.
  • Never pass `— style-ref` (or the cache contents) to reviewer / auditor sub-agents. Cross-model review independence (../shared-references/reviewer-independence.md) requires reviewers see only the artifact and the user's prompt, not the author's stylistic context.

Templates

Venue-Specific Setup

The skill includes conference templates in templates/. Select based on TARGET_VENUE:

ICLR:

latex
\documentclass{article}
\usepackage{iclr2026_conference,times}
% \iclrfinalcopy % Uncomment for camera-ready

NeurIPS:

latex
\documentclass{article}
\usepackage[preprint]{neurips_2025}
% \usepackage[final]{neurips_2025} % Camera-ready

ICML:

latex
\documentclass[accepted]{icml2025}
% Use [accepted] for camera-ready

IEEE Journal (Transactions, Letters):

latex
\documentclass[journal]{IEEEtran}
\usepackage{cite} % IEEE uses \cite{}, NOT natbib
% Author block uses \author{Name~\IEEEmembership{Member,~IEEE}}

IEEE Conference (ICC, GLOBECOM, INFOCOM, ICASSP, etc.):

latex
\documentclass[conference]{IEEEtran}
\usepackage{cite} % IEEE uses \cite{}, NOT natbib
% Author block uses \IEEEauthorblockN / \IEEEauthorblockA
Project Structure

Generate this file structure:

paper/
├── main.tex # master file (includes sections)
├── iclr2026_conference.sty # or neurips_2025.sty / icml2025.sty / IEEEtran.cls + IEEEtran.bst
├── math_commands.tex # shared math macros
├── references.bib # bibliography (filtered — only cited entries)
├── sections/
│ ├── 0_abstract.tex
│ ├── 1_introduction.tex
│ ├── 2_related_work.tex
│ ├── 3_method.tex # or preliminaries, setup, etc.
│ ├── 4_experiments.tex
│ ├── 5_conclusion.tex
│ └── A_appendix.tex # proof details, extra experiments
└── figures/ # symlink or copy from project figures/

Section files are FLEXIBLE: If the paper plan has 6-8 sections, create corresponding files (e.g., 4_theory.tex, 5_experiments.tex, 6_analysis.tex, 7_conclusion.tex).

Workflow

Step 0: Backup and Clean

If paper/ already exists, back up to paper-backup-{timestamp}/ before overwriting. Never silently destroy existing work.

CRITICAL: Clean stale files. When changing section structure (e.g., 5 sections → 7 sections), delete section files that are no longer referenced by main.tex. Stale files (e.g., old 5_conclusion.tex left behind when conclusion moved to 7_conclusion.tex) cause confusion and waste space.

Step 1: Initialize Project
  1. Create paper/ directory
  2. Copy venue template from templates/ — the template already includes:
  • All standard packages (amsmath, hyperref, cleveref, booktabs, etc.)
  • Theorem environments with \crefname{assumption} fix
  • Anonymous author block
  1. Generate math_commands.tex with paper-specific notation
  2. Create section files matching PAPER_PLAN structure

Author block (anonymous mode):

latex
\author{Anonymous Authors}
Step 2: Generate math_commands.tex

Create shared math macros based on the paper's notation:

latex
% math_commands.tex — shared notation
\newcommand{\R}{\mathbb{R}}
\newcommand{\E}{\mathbb{E}}
\DeclareMathOperator*{\argmin}{arg\,min}
\DeclareMathOperator*{\argmax}{arg\,max}
% Add paper-specific notation here
Step 3: Write Each Section

Process sections in order. For each section:

  1. Read the plan — what claims, evidence, citations belong here
  2. Read NARRATIVE_REPORT.md — extract relevant content, findings, and quantitative results
  3. Draft content — write complete LaTeX (not placeholders)
  4. Insert figures/tables — use snippets from figures/latex_includes.tex
  5. Add citations — for ML conferences (ICLR/NeurIPS/ICML/CVPR/ACL/AAAI): use \citep{} / \citet{} (natbib). For IEEE venues: use \cite{} (numeric style via cite package). Never mix natbib and cite commands.

Before drafting the front matter, re-read the one-sentence contribution from PAPER_PLAN.md. The Abstract and Introduction should make that takeaway obvious before the reader reaches the full method.

Section-Specific Guidelines

§0 Abstract:

  • Use the 5-part flow from ../shared-references/writing-principles.md: what, why hard, how, evidence, strongest result
  • Must be self-contained (understandable without reading the paper)
  • Start with the paper's specific contribution, not generic field-level background
  • Include one concrete quantitative result
  • 150-250 words (check venue limit)
  • No citations, no undefined acronyms
  • No \begin{abstract} — that's in main.tex

§1 Introduction:

  • Open with a compelling hook (1-2 sentences, problem motivation)
  • State the gap clearly ("However, ...")
  • Give a brief approach overview before the reader gets lost in details
  • List 2-4 specific, falsifiable contributions as a numbered or bulleted list
  • Preview the strongest result early instead of saving it for the experiments section
  • End with a brief roadmap ("The rest of this paper is organized as...")
  • Include the main result figure if space allows
  • Target: 1-1.5 pages
  • Methods should begin by page 2-3 at the latest

§2 Related Work:

  • MINIMUM 1 full page (3-4 substantive paragraphs). Short related work sections are a common reviewer complaint.
  • Organize by category using \paragraph{Category Name.}
  • Organize methodologically, by assumption class, or by research question; do not write paper-by-paper mini-summaries
  • Each category: 1 paragraph summarizing the line of work + 1-2 sentences positioning this paper
  • Do NOT just list papers — synthesize and compare
  • End each paragraph with how this paper relates/differs

§3 Method / Preliminaries / Setup:

  • Define notation early (reference math_commands.tex)
  • Use \begin{definition}, \begin{theorem} environments for formal statements
  • For theory papers: include proof sketches of key results in main body, full proofs in appendix
  • For theory papers: include a comparison table of prior bounds vs. this paper
  • Include algorithm pseudocode if applicable (algorithm2e or algorithmic)
  • Target: 1.5-2 pages

§4 Experiments:

  • Start with experimental setup (datasets, baselines, metrics, implementation details)
  • Main results table/figure first
  • Then ablations and analysis
  • Every claim from the introduction must have supporting evidence here
  • For each major experiment, make explicit what claim it supports and what the reader should notice
  • Target: 2.5-3 pages

§5 Conclusion:

  • Summarize contributions (NOT copy-paste from intro — rephrase)
  • Limitations (be honest — reviewers appreciate this)
  • Future work (1-2 concrete directions)
  • Ethics statement and reproducibility statement (if venue requires)
  • Target: 0.5 pages

Appendix:

  • Proof details (full proofs of main-body theorems)
  • Additional experiments, ablations
  • Implementation details, hyperparameter tables
  • Additional visualizations
Step 3.5: Theory Paper Consistency Pass (theory papers only)

Run this pass after drafting all sections and before building the bibliography.

Trigger heuristic: treat the paper as theory-heavy if PAPER_PLAN.md labels it as theory/analysis, or if the drafted sections contain 5 or more formal result environments (\begin{theorem}, \begin{lemma}, \begin{proposition}, \begin{corollary}).

Proof source search: search the workspace for any standalone full-proof source file whose name or contents indicate a canonical proof version (proof, appendix, full, complete, supplement, supplementary). If such a file exists, prompt the user exactly:

This is the start of the file. Read the full SKILL.md on GitHub.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
126
Repository forks
19
7-day trend score
24

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 20 Aug 2026, 2 months ago.

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