Anyone reading a research paper can get a clear, structured review. This skill breaks down the paper’s strengths and weaknesses. It follows standards used by top scientific conferences like NeurIPS and Nature.
The review covers the paper’s main ideas, methods, and results. It checks if the experiments are solid and if the claims are backed up. You also get a list of what works well and what could be improved.
Researchers, students, and peer reviewers will find this useful. It saves time and helps you deeply understand any academic study. Just share a link or upload a PDF to get started.
Global
mkdir -p ~/.claude/skills/academic-paper-reviewProject
mkdir -p .claude/skills/academic-paper-reviewSource Repository
Lark Baselarksuite/cli
Simplify your Lark Base data with tables, fields, records, and views
Lark Wikilarksuite/cli
Manage your Lark Wiki spaces, members, and documents with simple commands
Paper Context Resolverlllllllama/ai-paper-reproduction-skill
Resolve deep learning paper reproduction gaps with precise primary source evidence
Repo Intake And Planlllllllama/ai-paper-reproduction-skill
Scan a repo, extract commands, and get a minimal reproduction plan
Minimal Run And Auditlllllllama/ai-paper-reproduction-skill
Run commands and capture normalized evidence for reproducible deep learning research
Firecrawl Searchfirecrawl/cli
Search the web and extract full page content as markdown for deeper research
Ai Research Reproductionlllllllama/rigorpilot-skills
Faithful reproduction of deep learning research with auditable steps and minimal changes
Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports