Agent skill · Code Review & Quality

icalp-review-process

Use when reasoning about how an ICALP (EATCS) submission is evaluated, covering lightweight double-blind review, the separate Track A and Track B program committees, the asymmetric author interaction (Track B rebuttal vs Track A correctness-only contact), correctness-driven acceptance, the single accept/reject decision, and how ICALP's process differs from STOC/FOCS/SODA.

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

# ICALP Review Process Model the pipeline before interpreting any single review. ICALP's process is **conference-style and correctness-centered**: a paper is accepted or rejected in one round (no journal-style major revision), and the reviewers' overriding job is to judge whether the **theorems are significant and the proofs are correct**. The most consequential thing to internalize is that the two tracks run **different processes** — Track B gives you a rebuttal, Track A generally does not. ## Process model - Submission and review run on **HotCRP**, on **separate servers per track**, under **lightweight double-blind**: identities are hidden for an unbiased first read, self-references are third person, but the regime is deliberately not adversarial about de-anonymization. - Each paper is refereed by the track's **program committee** (often with sub-reviewers who are subject experts), who weigh the **significance** of the result, the **correctness and depth** of the proofs, the **improvement over prior bounds**, and clarity. - **Track A** (Algorithms, Complexity and Games): chairs for ICALP 2026 are **Sayan Bhattacharya** and **Danupon Nanongkai** (reported). Authors are contacted *

What's inside
Steps it walks through
  1. Process model
  2. Reading a decision against the criteria
  3. How ICALP differs from its US 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 icalp-review-process skill do?

Use when reasoning about how an ICALP (EATCS) submission is evaluated, covering lightweight double-blind review, the separate Track A and Track B program committees, the asymmetric author interaction (Track B rebuttal vs Track A correctness-only contact), correctness-driven acceptance, the single accept/reject decision, and how ICALP's process differs from STOC/FOCS/SODA.

How do I install it?

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