soda-experiments
Use when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-experiments --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.
# SODA Experiments SODA's stated scope covers the design and analysis of efficient algorithms and data structures, "including theoretical analysis and experimental validation" (SIAM SODA conference pages, checked 2026-07-08) — but the reviewing center of gravity is the theorem. Experiments at SODA are admissible evidence, never the verdict. Meanwhile the same registration desk in Philadelphia host
What does the soda-experiments skill do?
Use when deciding whether and how experiments belong in a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA's scope includes experimental validation but theorems carry the decision, so this skill designs supporting numerics honestly and routes implementation-led work to co-located ALENEX or to SEA.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-experiments --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/Awesome-Journal-Skills, a repository with 909 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.