vldb-experiments
From the author
Use when designing or auditing the evaluation of a VLDB paper, covering workload and dataset realism at scale, competitor tuning fairness, scalability curves versus single points, tail-latency and throughput reporting, ablations that isolate the mechanism, and the loss-case disclosure PVLDB reviewers look for first.
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vldb-experiments -a claude-code
Installs to .claude/skills/vldb-experiments/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 88
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- vldb-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a PVLDB submission before a monthly deadline, covering the mandatory abstract on the 25th, the CMT window, the 1st-of-month 5:00 PM Pacific cutoff, category and page-budget choice, single-blind cover-page requirements, the per-month and per-year author caps, and desk-reject hazards specific to VLDB.Planning★ 1.3K
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