stat-writing
End-to-end statistical writing assistant for LaTeX - draft title/abstract/keywords, expand outlines into sections, audit manuscripts, write reviewer reports…
Skill by stat-writing-one-skill
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.
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About
Use cases: documents, security, writing, 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/stat-writing
What's inside
- Skill name
stat-writing- Description
- End-to-end statistical writing assistant for LaTeX - draft title/abstract/keywords, expand outlines into sections, audit manuscripts, write reviewer reports and response letters, and scaffold book manuscripts.
- License
- CC0-1.0
- Compatibility
- Codex (CLI + IDE). Optional scripts require Python 3.
- Metadata
- author: stat-writing-one-skill · version: 3.0
- Instructions
- 171 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- files: referenced but missing: assets/response-letter-template.tex, assets/reviewer-report-template.md, assets/reviewer-report-template.tex, assets/section-skeleton.tex, assets/manuscript-template.tex
Files (21)
- SKILL.md
- 10-title.md · references/
- 11-abstract.md · references/
- 12-keywords.md · references/
- 20-introduction.md · references/
- 21-data.md · references/
- 22-methods.md · references/
- 23-simulation.md · references/
- 24-application.md · references/
- 25-discussion.md · references/
- 30-other-sections.md · references/
- 31-general-style.md · references/
- 32-english.md · references/
- 40-bibtex-natbib.md · references/
- 41-cross-referencing.md · references/
- 50-review-report.md · references/
- 51-response-to-reviewers.md · references/
- 60-outline-to-section.md · references/
- 70-project-proposal.md · references/
- 71-book-manuscript.md · references/
- 80-tooling.md · references/
SKILL.md (first lines)
<!--
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║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║
║ CoPaper.AI 收集整理 | https://copaper.ai ║
╚══════════════════════════════════════════════════════════════╝
来源仓库: https://github.com/fuhaoda/stats-paper-writing-agent-skills
项目名称: stats-paper-writing-agent-skills
开源协议: MIT License
收录日期: 2026-04-02
声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者
提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。
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# Statistical Writing (One Skill)
This is a single "workbench" skill for statistical manuscripts written in LaTeX.
Guidance is split into focused references under `references/`. Deterministic checks live in `scripts/`. Ready-to-use templates live in `assets/`.
## Positioning: Hybrid + JDS profile
Default behavior is journal-agnostic. For Journal of Data Science (JDS), apply the JDS profile:
- Maintain strong literature positioning and explicit novelty.
- Require clean cross-referencing and cleaned BibTeX.
- Prefer vector graphics for figures in the manuscript.
- Enable line numbers for review drafts.
- Include reproducibility artifacts (code/data/supplement) when possible.
## When to use this skill
Use this skill when the user wants to:
1. Generate compliant front matter (title, abstract, keywords).
2. Expand outlines into complete sections in LaTeX.
3. Audit a manuscript for structure, style, references, and reproducibility quality.
4. Draft reviewer reports.
5. Draft point-by-point response letters.
6. Scaffold a book manuscript from a chapter plan.
## Inputs to ask for (minimal)
Prefer file paths over pasted text.
- Manuscript tasks: root TeX file (for example `main.tex`).
- Reference checks: BibTeX file(s) (for example `refs.bib`).
- Response letters: full reviewer/editor comments + revised text if available.
- Reviewer report: manuscript or extended abstract being reviewed.
- Book manuscript: chapter list, audience, tone, and desired notation style.
If details are missing, proceed with placeholders like ` odo{...}` and ask only critical questions.
## Output conventions
Unless the user requests otherwise:
- Return LaTeX-ready output.
- For audits: rank issues as HIGH/MED/LOW with concrete fixes.
- For rewrites: include revised text and short change log.
- Never invent results or citations. Use ` odo{add citation}` or ` odo{verify result}`.
## Task routing map
Open only the reference files needed for the task.
- Title: `references/10-title.md`
- Abstract: `references/11-abstract.md`
- Keywords: `references/12-keywords.md`
- Outline to section drafting: `references/60-outline-to-section.md`
- Introduction: `references/20-introduction.md`
- Data: `references/21-data.md`
- Methods: `references/22-methods.md`
- Simulation (ADEMP): `references/23-simulation.md`
- Application/Results: `references/24-application.md`
- Discussion: `references/25-discussion.md`
- Other sections: `references/30-other-sections.md`
- General style/storyline: `references/31-general-style.md`
- English pitfalls: `references/32-english.md`
- BibTeX/natbib: `references/40-bibtex-natbib.md`
- Labels/cross-references: `references/41-cross-referencing.md`
- Reviewer report: `references/50-review-report.md`
- Response to reviewers: `references/51-response-to-reviewers.md`
- Research proposal/project cycle: `references/70-project-proposal.md`
- Book manuscript workflow: `references/71-book-manuscript.md`
- Tooling/reproducibility: `references/80-tooling.md`
## Built-in assets
- Response letter (LaTeX): `assets/response-letter-template.tex`
- Reviewer report (Markdown): `assets/reviewer-report-template.md`
- Reviewer report (LaTeX): `assets/reviewer-report-template.tex`
- Generic section skeleton: `assets/section-skeleton.tex`
- Manuscript starter (LaTeX): `assets/manuscript-template.tex`
- Book manuscript starter (LaTeX): `assets/book-manuscript-template.tex`
## Optional scripts (deterministic checks)
- Manuscript checks: `python scripts/check_tex.py path/to/main.tex`
- Citation/BibTeX checks: `python scripts/check_bib.py --tex path/to/main.tex --bib path/to/refs.bib`
- Combined run: `python scripts/audit_paper.py --tex path/to/main.tex --bib path/to/refs.bib`
These checks are heuristic and do not compile LaTeX.
## Workflows
### Workflow A - Finished paper to abstract + keywords
1. Read introduction/methods/results/discussion.
2. Use `references/11-abstract.md` and `references/12-keywords.md`.
3. Draft abstract (default 6-8 sentences, acceptable 4-10, no citations, no math notation).
4. Draft 6-10 keywords, alphabetized, avoid repeating title terms.
5. Return:
- `egin{abstract}...nd{abstract}`
- `\keywords{...}` (or venue-specific command)
- short compliance checklist.
### Workflow B - Manuscript auditFrom brycewang-stanford/Auto-Empirical-Research-Skills, CC0-1.0.
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- Last commit (this folder)
- Jul 15, 2026 (3 months ago)
- Last release
- Jul 2, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 3.0
- License
- CC0-1.0
- Website
- copaper.ai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Cite this page
stat-writing skill. Agent Mart. https://agentmart.dev/skills/brycewang-stanford-stat-writing (last updated 2026-10-24)