Agent skill · Code Review & Quality

edbt-review-process

Use when reasoning about how an EDBT research submission is evaluated, covering Microsoft CMT reviewing, the author-feedback phase, the accept / revise / reject decision, the in-cycle revise-and-resubmit second read by the original reviewers, the cycle-to-conference roll, and how EDBT's rolling model differs from SIGMOD/VLDB/ICDE and the co-located ICDT.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill edbt-review-process --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 6 KB
Bundled scripts: none
Path: EDBT-Skills/skills/edbt-review-process/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# EDBT Review Process Model the pipeline before interpreting any single review. EDBT's process is a **multiple-cycle rolling model** with a real **in-cycle revise-and-resubmit**: within one cycle, a paper is reviewed, gets an author-feedback exchange, receives **accept / revise / reject**, and — if *revise* — is revised and re-read by the same reviewers before a final accept/reject. The most consequential mental shift for authors arriving from a one-shot conference is that a *revise* is a genuine second chance inside the same cycle, not a soft rejection. ## Process model - Reviewing runs in **Microsoft CMT** (Conference Management Toolkit). Confirm the blind policy for the cycle — single- vs double-blind is decided per edition (**待核实**; EDBT has historically used author-identified single-blind reviewing). - Each paper is read by multiple program-committee members who weigh the significance of the data-management contribution, technical soundness, the fairness and honesty of the evaluation (real workloads, tuned baselines, realistic scale), reproducibility, and clarity. - The cycle includes an **author-feedback phase** on the initial reviews, then a first notification of **accept /

What's inside
Steps it walks through
  1. Process model
  2. Reading a decision against the categories
  3. How EDBT differs from its siblings
  4. Who reads you
  5. Where author leverage actually exists
  6. Reading a review packet
  7. Misreadings to avoid
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the edbt-review-process skill do?

Use when reasoning about how an EDBT research submission is evaluated, covering Microsoft CMT reviewing, the author-feedback phase, the accept / revise / reject decision, the in-cycle revise-and-resubmit second read by the original reviewers, the cycle-to-conference roll, and how EDBT's rolling model differs from SIGMOD/VLDB/ICDE and the co-located ICDT.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill edbt-review-process --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.

Keep going