review-julia
Run the Julia code review protocol on Julia scripts. Checks code quality, type stability, parallel computing patterns, and scientific computing standards. Produces a report without editing files.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-julia --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
## Review Julia Code Run a comprehensive Julia code review on the specified script(s). **Do NOT edit any source files** -- produce a report only. ### Steps 1. **Identify target**: Use `$ARGUMENTS` to find the Julia file(s). If `all`, scan all `.jl` files in the project. 2. **Read standards** from `.claude/rules/julia-code-conventions.md`. 3. **Check these categories**: - **Module Structure:** Prop
What does the review-julia skill do?
Run the Julia code review protocol on Julia scripts. Checks code quality, type stability, parallel computing patterns, and scientific computing standards. Produces a report without editing files.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill review-julia --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.