stoc-experiments
Use when judging whether computation belongs in a STOC (ACM Symposium on Theory of Computing) paper at all — STOC accepts on theorems, with no empirical-evaluation expectation — and when it does, scoping it as certified proof computation, constructive search, or clearly labeled illustration rather than benchmarking.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill stoc-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.
# STOC Experiments The ground truth about this venue: STOC papers are accepted on the strength of theorems, and the STOC 2026 Call for Papers asks for original research on the theory of computation with no empirical-evaluation requirement of any kind (checked 2026-07-08). Most STOC papers contain zero computation. The question this skill answers is not "how do I run experiments for STOC" but "does
What does the stoc-experiments skill do?
Use when judging whether computation belongs in a STOC (ACM Symposium on Theory of Computing) paper at all — STOC accepts on theorems, with no empirical-evaluation expectation — and when it does, scoping it as certified proof computation, constructive search, or clearly labeled illustration rather than benchmarking.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill stoc-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.