soda-reproducibility
Use when hardening the verifiability of a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper, where reproducibility means checkable mathematics — complete proofs in the submitted full version, stable statement-proof correspondence, explicit constants and model assumptions, and certificates for any machine-checked step.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-reproducibility --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 Reproducibility At SODA, "reproducibility" is not seeds and GPUs — it is whether a competent reader can re-derive every claim from the submitted document. Because SODA takes full versions with no page limit (2027 CFP, checked 2026-07-08), there is no "details omitted" escape hatch: the community's expectation is that the PDF on HotCRP contains a complete, checkable argument. This skill is t
What does the soda-reproducibility skill do?
Use when hardening the verifiability of a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper, where reproducibility means checkable mathematics — complete proofs in the submitted full version, stable statement-proof correspondence, explicit constants and model assumptions, and certificates for any machine-checked step.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-reproducibility --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.