Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP.

MITAuto-check passedResearch & Science

Install ML Paper Writing

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ml-paper-writing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills ml-paper-writing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/07-Orchestra-Research-AI-Research-SKILLs/ml-paper-writing .claude/skills/ml-paper-writing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ml-paper-writing
GitHub stars
4.6k
Used in
3 other repos
Token cost
~847 tokens
SKILL.md length
294 words
Files
7 (incl. references)
Skills in repo
383
Repo updated
First seen
Licence
MIT

At a glance

Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP.

  • Works in 5 steps: Understand the project by exploring the… → Deliver a complete first draft when… → Search literature using web search and… → …
  • Drafting papers from research repos
  • SKILL.md covers Core Philosophy: Collaborative… and ⚠️ CRITICAL: Never Hallucinate…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

ML Paper Writing is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/checklists.md`, `references/citation-workflow.md` and `references/reviewer-guidelines.md`).

It sits in Research & Science, covering Citation management, Scientific writing and LaTeX. It works with LaTeX. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI… The licence is MIT.

When your agent uses it

  • Drafting papers from research repos
  • Structuring arguments
  • Verifying citations
  • Preparing camera-ready submissions

Example prompts

  • “/ml-paper-writing”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Understand the project by exploring the repo, results, and existing documentation
  2. Deliver a complete first draft when confident about the contribution
  3. Search literature using web search and APIs to find relevant citations
  4. Refine through feedback cycles when the scientist provides input
  5. Ask for clarification only when genuinely uncertain about key decisions

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are latex).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • copaper.ai
    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

ML Paper Writing loads about 847 tokens when it runs, and up to ~22k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 294 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~847
With references · SKILL.md plus every file in references/, read only if the agent opens them
~22k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Auto-Empirical-Research-Skills at commit 9fa87d8, republished under its MIT licence (© brycewang-stanford). 294 words, ~847 tokens.

Download SKILL.mdSave it as .claude/skills/ml-paper-writing/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
ml-paper-writing
description
Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. Includes LaTeX templates, reviewer guidelines, and citation verification workflows.
version
1.1.0
author
Orchestra Research
license
MIT
tags
Academic Writing, NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP, LaTeX, Paper Writing, Citations, Research, Systems
dependencies
semanticscholar, arxiv, habanero, requests
<!--
  ╔══════════════════════════════════════════════════════════════╗
  ║  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/Orchestra-Research/AI-Research-SKILLs
  项目名称: AI-Research-SKILLs
  开源协议: Apache License 2.0
  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。
-->

ML Paper Writing for Top AI & Systems Conferences

Expert-level guidance for writing publication-ready papers targeting NeurIPS, ICML, ICLR, ACL, AAAI, COLM (ML/AI venues) and OSDI, NSDI, ASPLOS, SOSP (Systems venues). This skill combines writing philosophy from top researchers (Nanda, Farquhar, Karpathy, Lipton, Steinhardt) with practical tools: LaTeX templates, citation verification APIs, and conference checklists.

Core Philosophy: Collaborative Writing

Paper writing is collaborative, but Claude should be proactive in delivering drafts.

The typical workflow starts with a research repository containing code, results, and experimental artifacts. Claude's role is to:

  1. Understand the project by exploring the repo, results, and existing documentation
  2. Deliver a complete first draft when confident about the contribution
  3. Search literature using web search and APIs to find relevant citations
  4. Refine through feedback cycles when the scientist provides input
  5. Ask for clarification only when genuinely uncertain about key decisions

Key Principle: Be proactive. If the repo and results are clear, deliver a full draft. Don't block waiting for feedback on every section—scientists are busy. Produce something concrete they can react to, then iterate based on their response.


⚠️ CRITICAL: Never Hallucinate Citations

This is the most important rule in academic writing with AI assistance.

The Problem

AI-generated citations have a ~40% error rate. Hallucinated references—papers that don't exist, wrong authors, incorrect years, fabricated DOIs—are a serious form of academic misconduct that can result in desk rejection or retraction.

The Rule

NEVER generate BibTeX entries from memory. ALWAYS fetch programmatically.

Action✅ Correct❌ Wrong
Adding a citationSearch API → verify → fetch BibTeXWrite BibTeX from memory
Uncertain about a paperMark as [CITATION NEEDED]Guess the reference
Can't find exact paperNote: "placeholder - verify"Invent similar-sounding paper
When You Can't Verify a Citation

If you cannot programmatically verify a citation, you MUST:

latex
% EXPLICIT PLACEHOLDER - requires human verification

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in skills/07-Orchestra-Research-AI-Research-SKILLs/ml-paper-writing of brycewang-stanford/Auto-Empirical-Research-Skills.

  • SKILL.md
  • references/checklists.md
  • references/citation-workflow.md
  • references/reviewer-guidelines.md
  • references/sources.md
  • references/systems-conferences.md
  • references/writing-guide.md

Open the folder on GitHubat commit 9fa87d8

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in brycewang-stanford/Auto-Empirical-Research-Skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

ML Paper Writing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

ML Paper Writing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
ML Paper Writing this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.6k3 repos~847Automated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Paper SkillcLin-c/paper-skill119—~2.6kAutomated safety check: PassMIT
Research SurveyEvoScientist/EvoSkills4783 repos~2.5kAutomated safety check: PassApache-2.0
Academic Paper Helpercnfjlhj/ai-collab-playbook454—~1.8kAutomated safety check: PassNone
Scholar Writingcatlog22/maestro-flow564—~3.3kAutomated safety check: NotesNone

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Works with

Questions about ML Paper Writing

What does ML Paper Writing do?

Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP. ML Paper Writing is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Write publication-ready ML/AI/Systems papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM, OSDI, NSDI, ASPLOS, SOSP.

When should I use ML Paper Writing?

ML Paper Writing fits situations like: drafting papers from research repos; structuring arguments; verifying citations; preparing camera-ready submissions.

How do I install ML Paper Writing in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ml-paper-writing -a claude-code`. Or copy the skill folder (skills/07-Orchestra-Research-AI-Research-SKILLs/ml-paper-writing in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/ml-paper-writing in your project. Claude Code loads it when a task matches its description.

How do I install ML Paper Writing in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ml-paper-writing -a codex`. Or copy the skill folder (skills/07-Orchestra-Research-AI-Research-SKILLs/ml-paper-writing in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/ml-paper-writing in your project. Codex loads it when a task matches its description.

Can I use ML Paper Writing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill ml-paper-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ml-paper-writing, .gemini/skills/ml-paper-writing, .github/skills/ml-paper-writing and .opencode/skills/ml-paper-writing in your project.

What does ML Paper Writing need to run?

SKILL.md names no scripts, command-line tools or credentials: ML Paper Writing is instructions for the agent only.

Does ML Paper Writing access the network?

SKILL.md names 2 domains. As links in the text: copaper.ai and github.com. This is read from the text; nothing was executed.

Is ML Paper Writing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does ML Paper Writing use?

ML Paper Writing is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does ML Paper Writing use?

About 847 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 21k tokens, read only when the agent opens those files.

What are the alternatives to ML Paper Writing?

Skills that share tags, products or a category with ML Paper Writing: Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars), Paper Skill (cLin-c/paper-skill, 119 stars), Research Survey (EvoScientist/EvoSkills, 478 stars) and Academic Paper Helper (cnfjlhj/ai-collab-playbook, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains ML Paper Writing?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,556 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

Source: brycewang-stanford/Auto-Empirical-Research-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.