An AI skill that provides design intelligence for building professional UI/UX across multiple platforms.
Phd Skills
PhD Research Skills for Claude Code: paper reproduction, experiment design, paper review, result comparison and more.
Install
$
claude plugin install phd-skills@phd-skillsInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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 (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.
Paper search and acquisition use Paper Search CLI, installed with uv and Python 3.10+. See paper search setup. Other skills do not require it.
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, lost three days
- It claimed an experiment was diverging based on a non-converged proxy metric, killed it before downstream eval would have shown the truth
- It ran
rm -rfon a path it had hallucinated from memory, lost local checkpoints
Other plugins give you more commands. This plugin gives you guardrails.
Install
claude plugin marketplace add fcakyon/phd-skills
claude plugin install phd-skills@phd-skills
The plugin works correctly the moment it is installed. Optional: run /phd-skills:setup for a 30-second tour of what was auto-detected and to opt into extras (notifications, allowlist, LaTeX).
Usage
Open Claude Code in your project directory, then:
/phd-skills:reproduce arxiv 2508.12345reproduce a paper from arxiv URL through replication runs"why is my loss diverging?"thedebugskill auto-triggers, runs evidence-first probes"compare run alpha to baseline"thecompareskill auto-triggers, aligns at the same epoch"launch the new training run"thelaunchskill auto-triggers, runs the pre-flight checklist/loop 30m check experiment logs, notify me if metrics beat the baseline or if loss starts to diverge
Notifications (task completion, background agents) forward to ntfy / Slack / email after /phd-skills:setup.
What You Get
Commands
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