Agent skill · Code Review & Quality

sigmetrics-submission

Use when auditing an ACM SIGMETRICS submission for HotCRP readiness, covering the choice among the three rolling deadlines (summer/fall/winter), the separate abstract-registration step, the 20-page single-column acmsmall budget plus unlimited references, double-anonymous review (and the Operational Systems Track exception), track selection, POMACS publication, and desk-reject triage before the AoE cutoff.

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

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

Facts
Files in the skill folder: 1
SKILL.md size: 7 KB
Bundled scripts: none
Path: SIGMETRICS-Skills/skills/sigmetrics-submission/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

# SIGMETRICS Submission Run this audit before uploading to the per-deadline SIGMETRICS HotCRP site. SIGMETRICS research papers are published as **journal articles in POMACS** (Proceedings of the ACM on Measurement and Analysis of Computing Systems), submitted on a **three-deadlines-per-year rolling model**, so the submission is judged like a journal manuscript that also earns a conference slot. Every number below was read from the SIGMETRICS 2026/2027 calls on 2026-07-09 via search renderings (see `resources/official-source-map.md`); treat them as a one-cycle snapshot and reopen the live call first. ## Choose the deadline first SIGMETRICS has **three deadlines a year** — summer, fall, winter — each on its own HotCRP site. This is the biggest departure from a single-annual-deadline conference: - Every deadline feeds the same POMACS journal; there is no "main" deadline. - Papers accepted from the **summer and fall** deadlines appear in POMACS **before** the conference; a winter acceptance publishes in the following issue. Pick the deadline whose notification and publication timing fits your goals (graduation, a job-market cycle, the conference you want to present at). - 2026-cycle da

What's inside
Steps it walks through
  1. Choose the deadline first
  2. The two-step deadline
  3. Track selection
  4. Format and page budget
  5. Double-anonymous sweep
  6. Desk-risk triage
  7. Final-week order of operations
  8. Reverify each cycle
  9. Output format
Commands it runs
Mechanical pass on the submission PDF and any anonymized artifact archive
pdfinfo paper.pdf | grep -Ei 'author|creator|producer'
pdftotext paper.pdf - | grep -nEi 'github\.com/[a-z0-9-]+|our (system|prior) work|acknowledg|grant|university of' | head
unzip -l artifact.zip | grep -Ei '\.git/|\.DS_Store|/home/|/Users/' | head
More from Awesome-Journal-Skills
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About this skill
What does the sigmetrics-submission skill do?

Use when auditing an ACM SIGMETRICS submission for HotCRP readiness, covering the choice among the three rolling deadlines (summer/fall/winter), the separate abstract-registration step, the 20-page single-column acmsmall budget plus unlimited references, double-anonymous review (and the Operational Systems Track exception), track selection, POMACS publication, and desk-reject triage before the AoE cutoff.

How do I install it?

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