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Best-Paper Writing

Drafts or rewrites a paper's title, Abstract, Introduction, Method, Experiments and figures in the style of CVPR/ICCV/NeurIPS award papers, grounded in 55 annotated award papers.

Content & WritingIntermediate★ 281⑂ 17AI score 9/10Last updated: Oct 29, 2026

What it does

  • Turns a project description or a draft abstract into a title, Abstract and Introduction that read like a recent CVPR/ICCV/NeurIPS award paper.
  • Forces an explicit prep stage first: claim, tension type, insight, handle, closest work and headline numbers; then a paragraph skeleton, a claim index, and drafting against retrieved award-paper exemplars.
  • On request, extends into Method and Experiments sections and a full figure plan (Figure 1, method overview, result figures), drawing mechanism schematics in TikZ and leaving results figures as planned placeholders.
  • Ships checkers (check_draft.py, style_metrics.py, check_figures.py) that flag dashes, hedges, boosters, sentence-length outliers and AI-draft habits against corpus percentiles.
  • Hard rule: never fabricate numbers, datasets, baselines, citations or figure content; gaps become [TODO].

Who it's for

  • ML/CV researchers and PhD students submitting to CVPR, ICCV, NeurIPS or ICLR
  • Non-native English authors who want the rhetorical structure of strong papers, not just grammar fixes
  • Anyone with an existing abstract who wants a sentence-by-sentence change table with reasons

Examples

  1. From scratch: fill in assets/intake_form.html, export JSON, and get a brief plus Abstract + Introduction and a report.md with the claim map and TODO list.
  2. Abstract rewrite: paste your abstract; it is reverse-engineered into intake fields with a present/vague/missing table, then revised with an original → revised → reason change table.
  3. LaTeX project: hand it the CVPR author kit and it writes straight into main.tex, draws Figure 1 and the method overview in TikZ, and returns the check_figures summary.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/gulucaptain/Best-Paper-Writing-Skill/HEAD/skills/bestpaper-writing/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the skills/bestpaper-writing folder from the GitHub repo gulucaptain/Best-Paper-Writing-Skill into my ~/.claude/skills/bestpaper-writing/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/gulucaptain/Best-Paper-Writing-Skill.git /tmp/bpws && mkdir -p ~/.claude/skills && cp -r /tmp/bpws/skills/bestpaper-writing ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal (Terminal on macOS/Linux, WSL or Git Bash on Windows).
  2. Confirm Python 3 is available with python3 --version; the skill's helper and checker scripts require it.
  3. Clone the repository: git clone https://github.com/gulucaptain/Best-Paper-Writing-Skill.git
  4. Copy the skill into place: mkdir -p ~/.claude/skills && cp -r Best-Paper-Writing-Skill/skills/bestpaper-writing ~/.claude/skills/
  5. Verify with ls ~/.claude/skills/bestpaper-writing that references/, scripts/ and assets/ came along.
  6. Restart Claude Code and ask something like "rewrite my abstract in the style of a CVPR award paper" to trigger the skill.
  7. (Optional) If you have no material prepared, open assets/intake_form.html in a browser, fill it in, export the JSON, and hand that file to Claude (note: the form is in Chinese).
View source on GitHub ↗License: NOASSERTION