What it does This repo packages Prof. Peng Sida’s open study notes on ML/CV/NLP paper writing into a reusable “skill” format. Drop it into your AI assistant’s skills directory and invoke it to draft, rewrite, or review sections of a research paper.

The interesting bit The value isn’t the packaging — it’s the source material. Peng’s notes are widely respected in the Chinese ML community for their practical focus on paragraph flow, claim-evidence alignment, and reviewer-mindset self-critique. This repo makes them callable with a single prompt instead of manual consultation.

Key highlights

• Covers Abstract through Conclusion with section-specific guides and templates
• Checks that your claims actually match your evidence (a common fatal flaw)
• Supports Codex, Claude Code, and Gemini via their respective skills directories
• Includes pre-submission self-review prompts written from a reviewer’s perspective
• MIT licensed; attribution to Prof. Peng is explicit and prominent

Caveats

• Currently only one skill package; the repo is mostly curation and file structure
• Requires your AI assistant to already be installed and configured
• Effectiveness depends heavily on the underlying model’s ability to follow structured instructions

Verdict Grad students in ML/CV/NLP who already use AI coding assistants and struggle with paper structure should try this. If you don’t use Codex, Claude Code, or Gemini, or if you prefer writing without AI assistance, there’s nothing here for you.