Agent skill

sigmetrics-supplementary

Use when deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that decision-critical claims (theorem statements, assumptions, headline validation) stay inside the reviewed pages, full proofs in appendices, double-anonymous supplementary material, and how to split a proof-plus-measurement paper.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-supplementary --agent claude-code

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

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: SIGMETRICS-Skills/skills/sigmetrics-supplementary/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 984 · +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 Supplementary Use this when assembling SIGMETRICS supplementary material. The governing rule is simple and strict: **the paper must be judgeable from the reviewed pages alone.** Appendices and the artifact support the paper; they do not hold the argument. Reviewers read the artifact at their discretion, so anything the decision depends on — the theorem statements, their assumptions, and the headline validation — lives in the body. ## What goes where | Content | Body (within the 20-page budget) | Appendix / artifact | |---|---|---| | Theorem/bound statements and their assumptions | Yes | — | | Full proofs | The statement + key idea | Full derivations (appendix) | | The model and why its assumptions are plausible | Yes | Extended sensitivity analysis | | The headline analysis-vs-measurement validation | Yes | Full simulation sweeps, extra distributions | | Baselines and the main comparison | Yes | Full parameter grids, per-workload tables | | Simulator, trace-processing scripts, seeds | — | Yes (anonymized) | | Trace/dataset itself | Summary + provenance | The processed dataset (or documented access) | If a reviewer would need to open the artifact (or dig into an appendi

What's inside
Steps it walks through
  1. What goes where
  2. The page-budget discipline
  3. Double-anonymous supplementary rules
  4. Appendix architecture
  5. Vignette: splitting a proof-plus-measurement paper
  6. Output format
More from Awesome-Journal-Skills
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About this skill
What does the sigmetrics-supplementary skill do?

Use when deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that decision-critical claims (theorem statements, assumptions, headline validation) stay inside the reviewed pages, full proofs in appendices, double-anonymous supplementary material, and how to split a proof-plus-measurement paper.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-supplementary --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 984 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