Agent skill · Data & Analytics

socc-review-process

Use when reasoning about how an ACM SoCC submission is evaluated, covering dual-anonymous review, the two-round-per-year model with the no-cross-round-resubmission rule, the author-response (rebuttal) period, the joint SIGMOD+SIGOPS reviewer pool that reads for both systems and data quality, and how SoCC's process differs from OSDI/NSDI/EuroSys.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill socc-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: SoCC-Skills/skills/socc-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

# SoCC Review Process Model the pipeline before interpreting any single review. SoCC — the ACM Symposium on Cloud Computing — evaluates papers through a **dual-anonymous, two-round** process with a **rebuttal**, and its reviewer pool is drawn from **both SIGMOD and SIGOPS**. The most consequential mental shift for authors arriving from a pure systems or pure data venue is that your paper is judged on **both** axes at once: a systems reviewer probes the mechanism and the deployment, a data/measurement reviewer probes the workloads, traces, and statistical honesty — and a champion needs answers for both. ## Process model - Submission and review run on **HotCRP** with **dual anonymity**: reviewers do not see authors and authors do not see reviewers. - SoCC runs **two rounds per year**, each a self-contained accept/reject cycle with its own abstract, submission, **author-response window**, and notification. A paper **rejected in Round 1 cannot be resubmitted to Round 2** the same year. - Each paper is read by multiple PC members spanning the systems-and-data pool, who weigh the significance of the cloud contribution, soundness of the design, quality of the measurement (throughput, late

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

Use when reasoning about how an ACM SoCC submission is evaluated, covering dual-anonymous review, the two-round-per-year model with the no-cross-round-resubmission rule, the author-response (rebuttal) period, the joint SIGMOD+SIGOPS reviewer pool that reads for both systems and data quality, and how SoCC's process differs from OSDI/NSDI/EuroSys.

How do I install it?

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