Agent skill · Data & Analytics

percom-supplementary

Use when deciding what belongs in an IEEE PerCom paper body versus its dataset/artifact and any appendix, covering the tight IEEEtran 9+1 page budget, the rule that decision-critical evidence stays inside the reviewed pages, double-blind supplementary material, and how to split a human-subjects sensing paper between body and dataset.

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

# PerCom Supplementary Use this when assembling PerCom supplementary material. The governing rule is simple and strict: **the paper must be judgeable from the reviewed pages alone.** The dataset and any appendix support the paper; they do not hold the argument. Reviewers read supplementary material at their discretion, so anything the decision depends on lives in the 9 pages — and PerCom's budget is **tight**, which makes the split unforgiving. ## What goes where | Content | Body (within 9-page budget) | Dataset / appendix | |---|---|---| | The pervasive-computing claim and headline result | Yes | — | | Core technique or study design | Yes | Full hyperparameter grids, extra config | | The **cross-subject (LOSO)** headline evaluation | Yes | Full per-subject / per-session tables | | Metrics behind a claim (F1, event-level) | The result + metric named | The computation notebook | | Subject and sensor description | Summary + selection criterion | The complete datasheet | | Raw signals, logs, labels, scripts | — | Yes | | Reproduction instructions | A pointer | The README and run scripts | If a reviewer would need to open the dataset to know whether to accept, the paper is mis-partitio

What's inside
Steps it walks through
  1. What goes where
  2. The 9-page-budget discipline
  3. Double-blind supplementary rules
  4. Appendix architecture (when the template allows in-paper appendices)
  5. Vignette: splitting a mixed-modality sensing paper
  6. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the percom-supplementary skill do?

Use when deciding what belongs in an IEEE PerCom paper body versus its dataset/artifact and any appendix, covering the tight IEEEtran 9+1 page budget, the rule that decision-critical evidence stays inside the reviewed pages, double-blind supplementary material, and how to split a human-subjects sensing paper between body and dataset.

How do I install it?

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