Use when strengthening reproducibility evidence for an ACL paper reviewed through ACL Rolling Review, covering the Responsible NLP checklist end to end, hyperparameter and compute reporting, prompt and decoding disclosure for LLM experiments, data contamination auditing, variance across runs, and checklist-to-paper consistency.
$npx -y skills add brycewang-stanford/awesome-journal-skills --skill acl-reproducibilityInstalls into the current project.
Run `npx skills use "https://github.com/brycewang-stanford/awesome-journal-skills" --skill "brycewang-stanford/awesome-journal-skills/acl-reproducibility"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/brycewang-stanford/awesome-journal-skills" that are relevant to the current task. Run `npx skills add "https://github.com/brycewang-stanford/awesome-journal-skills"` and select the relevant skills, then follow their instructions.