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Clay-HHK
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ml-paper-writing

Draft ML/AI conference papers from research repositories with verified citations.

2|Updated Apr 12, 2026
Search Tags:#research#citations#latex#literature-review#academic-writing#conference-submission#paper-templates
One-click install
npx skills add https://github.com/Clay-HHK/claude-config --skill ml-paper-writing-clay-hhk
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ml-paper-writing
Source: https://github.com/Clay-HHK/claude-config/tree/main/skills/ml-paper-writing
Command: npx skills add https://github.com/Clay-HHK/claude-config --skill ml-paper-writing-clay-hhk

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semanticscholar, arxiv, habanero, requests, and includes references (resource) components.

What problem does it solve?

Helps researchers and engineers transform research repositories, results, and notes into complete, submission-ready ML/AI conference papers while ensuring citation accuracy, correct formatting, and venue compliance.

Core Features & Use Cases

  • Repository-to-Draft: Explore a codebase and experimental outputs, infer contributions, and produce a full first draft (abstract, introduction, methods, experiments, related work, limitations).
  • Citation Verification & Management: Search literature via APIs (Semantic Scholar, arXiv, CrossRef/OpenAlex), verify papers in multiple sources, and fetch BibTeX programmatically to avoid hallucinated citations.
  • LaTeX Templates & Submission Prep: Provide and adapt LaTeX templates for NeurIPS/ICML/ICLR/ACL/AAAI/COLM, compile-check, and follow venue checklists (reproducibility, ethics, limitations).
  • Iterative Feedback Workflow: Deliver proactive drafts with flagged uncertainties, perform literature reviews, run ablations and evaluation summaries, and refine drafts through human feedback cycles.

Quick Start

Draft a complete NeurIPS-style manuscript from the repository at path/to/repo, programmatically verify all citations, and return a LaTeX-ready draft with verified bibliography.

Frequently Asked Questions about ml-paper-writing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I draft a publication-ready ML/AI paper from a research repository?▼

To draft a publication-ready ML/AI paper from a research repository, the system explores your codebase and experimental outputs to infer contributions, generating a full first draft including abstract, introduction, methods, and experiments.

Can I automatically verify citations and fetch BibTeX for academic writing?▼

Yes, you can automatically verify citations and fetch BibTeX for academic writing by programmatically searching literature via Semantic Scholar, arXiv, and CrossRef APIs to ensure accuracy and avoid hallucinated references.

Does this tool support LaTeX templates for NeurIPS, ICML, and ICLR conference submissions?▼

Yes, this tool supports LaTeX templates for NeurIPS, ICML, ICLR, ACL, AAAI, and COLM conference submissions, adapting the templates and performing compile-checks to ensure strict venue compliance.

What is the best way to conduct a literature review for an ML/AI conference paper?▼

The best way to conduct a literature review for an ML/AI conference paper is using programmatic API searches across Semantic Scholar and arXiv to retrieve, verify, and synthesize relevant academic sources into your related work section.

How do I avoid hallucinated citations when generating a research paper draft?▼

To avoid hallucinated citations when generating a research paper draft, the system verifies papers across multiple sources like Semantic Scholar, arXiv, and OpenAlex, fetching verified BibTeX entries programmatically.

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