Found 15 repositories(showing 15)
Master-cai
Skill package for ML/CV/NLP paper writing, curated and adapted from Prof. Peng Sida's open notes for Codex, Claude Code, and Gemini.
kgraph57
Claude Code skill for full-pipeline academic paper writing (IMRAD format, literature management, quality checklists)
curryfromuestc
Claude Code skill for AI-assisted academic paper writing with LaTeX
rpatrik96
Research Agora: Claude Code skills, benchmarks & tools for ML researchers — paper writing, citation verification, experiment tracking, LaTeX automation
MetaQiu
A multi-agent collaborative paper writing workflow, implemented as a Claude Code skill. It orchestrates Claude Code, OpenAI Codex CLI, and Google Gemini CLI to independently draft, cross-review, argue, and reach consensus on academic papers.
alexj11324
Claude Code agent skills — CLIProxyAPI/Quotio, debugging, research, paper writing
stchakwdev
Claude Code skill for research methodology and academic paper writing
jeff8384
Structured research-paper writing, proofreading, claim-evidence auditing, and reviewer-simulation skill for Claude Code
Shnani
A systematic academic paper writing methodology skill for Claude Code
SolomonMg
Claude Code skills for academic writing, statistical review, and paper review
shyngys-aitkazinov
Virtual AI research team for Claude Code. 21 skills for experiment loops, paper writing, code review, and more.
yblllll
My Academic Skills — Pure Claude Code skill definitions for academic research: deep research, paper writing, peer review, literature analysis, and more
rongarede
8 Claude Code skills for academic research, paper writing & literature management — deep-research · semantic-scholar · sci-hub-download · nb-query
arsity
Claude Code skill for academic research lifecycle: literature discovery (Semantic Scholar, HF), verified BibTeX generation (DBLP > CrossRef > DOI), citation network analysis, quality evaluation (CCF/IF), paper discussion, and writing assistance.
JayCheng113
InfiEpisteme 📜 — Talk to Claude Code, get a research paper. 19 Markdown skills orchestrate the full pipeline: literature survey → ideation → experiments → writing → cross-model review. No framework, no lock-in — pure .md skills runnable by any LLM agent.
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