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Research Paper Writing

Development community

Description

A skill for helping write research papers with Claude Code

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

Research Paper Writing Skill for Claude

A Claude skill for drafting and reviewing ML/empirical research papers in LaTeX. Encodes a structural framework for writing papers that are coherent, well-organized, and clearly communicate their contributions.

Installation

Claude Code auto-loads skills from `~/.claude/skills//` (user-level) or `/.claude/skills//` (project-level). Install by cloning this repo into one of those locations.

Quick install (user-level, recommended)

git clone https://github.com/fengsxy/research-paper-writing.git ~/.claude/skills/research-paper-writing

Or use the helper script (handles existing installs):

curl -fsSL https://raw.githubusercontent.com/fengsxy/research-paper-writing/master/install.sh | bash

Project-level install

Clone into a specific project's `.claude/skills/` so the skill is only active for that project:

git clone https://github.com/fengsxy/research-paper-writing.git .claude/skills/research-paper-writing

Updating

git -C ~/.claude/skills/research-paper-writing pull

Verifying

Open a new Claude Code session and ask "list my skills" — you should see `research-paper-writing` in the available skills list. The skill auto-activates when you ask Claude to draft, review, or critique an ML/research paper.

Packaged `.skill` file (alternative)

If your client supports importing packaged skills, download `research-paper-writing.skill` from the [latest release](../../releases) and import it through your client's skill installer.

What This Skill Does

This skill operates in three modes:

  • Drafting: Write paper sections (abstract, introduction, related work, background, method, experiments, results, analysis, conclusion) with structured templates, pre-writing questions, and LaTeX output.
  • Reviewing: Evaluate a draft against a comprehensive checklist covering AI writing patterns, cross-section coherence, claim-evidence