phd-skills MCP Server
fcakyon/phd-skills
[](https://agentrank-ai.com/tool/fcakyon--phd-skills/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
fcakyon/phd-skills is a Shell tool licensed under MIT. PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more. Topics: academic, claude-code, phd, research, agents, ai, claude, hooks, mcp, plugin, skills, conference, journal, paper-reproduction, paper-review, claude-code-plugin, claude-skills, fable, opus, research-skills.
Ranked #7394 out of 24846 indexed tools.
Ecosystem
Score Breakdown
418 stars → growing community
Last commit 1mo ago → recently updated
0/1 issues closed → many open issues
2 contributors → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
# phd-skills Catch AI mistakes before they cost weeks of compute. Reproduce papers from arxiv. Debug runs evidence-first. Compare experiments at the right epoch. Launch with discipline. Built by [Fatih Cagatay Akyon](https://scholar.google.com/citations?user=RHGyDE0AAAAJ) (2000+ citations, 5 patents) after 300+ Claude Code sessions, tens of critical AI mistakes caught the hard way, and thousands of hours of PhD research. Every guardrail in this plugin traces to a real mistake. --- ## Why This Plugin Exists Claude Code is powerful, but it makes research-specific mistakes that cost weeks of compute: - It typed "done?" as "dont?" and launched an unwanted upload of thousands of files - It analyzed my full dataset when I asked for a specific 4k/2k/2k split - It claimed a test covered a bug it had never actually verified - It never once looked at a figure it generated, just trusted the numbers - It restarted a 50-hour training job without diffing the config against the reference run, lRead full README on GitHub →
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