edbt-related-work
Use when positioning an EDBT submission against the data-management literature across SIGMOD, VLDB/PVLDB, ICDE, EDBT, the co-located ICDT, and the database journals (VLDBJ, TODS, TKDE), writing delta-first contrast rather than a citation catalog, and handling the 12-month EDBT resubmission ban, preprints, and prior-version overlap.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill edbt-related-work --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.
# EDBT Related Work Use this to audit novelty and eligibility. EDBT reviewers are close to the data-management literature and expect to see where your paper sits relative to the nearest prior work — stated as a **delta**, not a list. Reopen the current call for the resubmission-ban wording, the blind policy, and dual-submission rules before advising authors. ## Positioning checks - **Separate the
What does the edbt-related-work skill do?
Use when positioning an EDBT submission against the data-management literature across SIGMOD, VLDB/PVLDB, ICDE, EDBT, the co-located ICDT, and the database journals (VLDBJ, TODS, TKDE), writing delta-first contrast rather than a citation catalog, and handling the 12-month EDBT resubmission ban, preprints, and prior-version overlap.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill edbt-related-work --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.