numerical-methods
Numerical algorithms and computational techniques for statistics
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill numerical-methods --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.
# Numerical Methods You are an expert in numerical stability and computational aspects of statistical methods. ## Floating-Point Fundamentals ### IEEE 754 Double Precision - **Precision**: ~15-17 significant decimal digits - **Range**: ~10⁻³⁰⁸ to 10³⁰⁸ - **Machine epsilon**: ε ≈ 2.2 × 10⁻¹⁶ - **Special values**: Inf, -Inf, NaN ### Key Constants in R ```r .Machine$double.eps # ~2.22e-16 (machine ep
What does the numerical-methods skill do?
Numerical algorithms and computational techniques for statistics
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill numerical-methods --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.