Summary

This repository offers a specialized skill package for enhancing ML/CV/NLP research paper writing. Adapted from Prof. Peng Sida's open notes, it provides structured methodologies for AI coding assistants (Codex, Claude Code, Gemini). The package streamlines drafting, rewriting, and self-review, improving clarity, logic, and claim-evidence alignment for academic papers.

How It Works

It packages established research paper writing techniques into reusable "skills" for AI coding assistants. Derived from Prof. Peng Sida's extensive notes, these skills are organized for direct application. Users integrate them into their AI assistant's environment to invoke specific writing improvements—like refining introductions or verifying claim-evidence consistency—via natural language prompts, democratizing advanced academic writing strategies.

Quick Start & Requirements

• Installation: Copy research-paper-writing directory into the AI assistant's skills directory: Codex ($CODEX_HOME/skills/), Claude Code ($HOME/.claude/skills/ or .claude/skills/), Gemini ($HOME/.gemini/skills/).
• Prerequisites: Requires a functional installation of Codex, Claude Code, or Gemini. No other specific hardware, OS, or software dependencies are detailed.
• Usage: Initiate tasks via prompts like "Use $research-paper-writing to improve my paper's Introduction" (Codex) or "Please use the research-paper-writing skill" (Claude Code).
• References:
  • Prof. Peng Sida's notes: https://pengsida.notion.site/c1a22465a0fa4b15a12985223916048e
  • Prof. Peng's original repository: https://github.com/pengsida/learning_research

Highlighted Details

• Specialized for ML/CV/NLP research paper writing.
• Leverages and structures Prof. Peng Sida's academic writing methodologies.
• Integrates with AI coding assistants (Codex, Claude Code, Gemini).
• Supports drafting/refinement of key paper sections (Abstract, Intro, Method, Experiments, Conclusion).
• Features include improving flow, logic, and claim-evidence alignment checks.

Maintenance & Community

Presented as an adaptation of Prof. Peng Sida's work. No active maintenance details, contributor lists, community channels, or roadmap are provided in the README.

Licensing & Compatibility

The README does not specify a software license. This omission requires clarification regarding usage rights, especially for commercial applications.

Limitations & Caveats

No specific limitations, bugs, or alpha status are detailed. Primary dependency is the user's AI assistant setup. The lack of explicit licensing information is a significant adoption caveat.