Agent skill · Code Review & Quality

podc-review-process

Use when reasoning about how an ACM PODC submission is evaluated — covering lightweight double-blind review, a program committee that reads proofs, the accept/reject decision with no journal-style revision round, the Brief Announcements track's lighter bar, and how PODC's process differs from DISC, SPAA, and the sequential-theory venues STOC/FOCS/SODA.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-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: PODC-Skills/skills/podc-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

# PODC Review Process Model the pipeline before interpreting any single review. PODC's process is **proofs-first and single-shot**: a specialized program committee reads your model and your proof, and the decision is **accept or reject** — there is **no Major Revision, no journal-style R&R**. The most consequential mental shift for authors arriving from a software-engineering or ML venue is that there is no second read to fix a gap in; everything that would go into a revision must be in the initial submission. ## Process model - Submission and review run on **HotCRP** with **lightweight double-blind** anonymity: identities are hidden from reviewers (no author names/affiliations/emails in the submission), a change from PODC's historically single-blind practice. - Each paper is read by program-committee members (often with external subreviewers for specific subareas) who weigh: the **significance** of the result, the **correctness of the proof**, the **precision and honesty of the model/assumptions**, **novelty** against known bounds, and clarity. - The committee reads the abstract and the **first 10 pages** as guaranteed; deeper proofs are read at its discretion — so the merits case

What's inside
Steps it walks through
  1. Process model
  2. What a PODC reviewer actually checks
  3. How PODC differs from its siblings
  4. Where author leverage actually exists
  5. Reading a decision
  6. Misreadings to avoid
  7. Output format
More from Awesome-Journal-Skills
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About this skill
What does the podc-review-process skill do?

Use when reasoning about how an ACM PODC submission is evaluated — covering lightweight double-blind review, a program committee that reads proofs, the accept/reject decision with no journal-style revision round, the Brief Announcements track's lighter bar, and how PODC's process differs from DISC, SPAA, and the sequential-theory venues STOC/FOCS/SODA.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill podc-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