Agent skill

percom-author-response

Use when drafting an IEEE PerCom rebuttal after being invited following the initial reviews, covering the bounded single-round reply that answers explicit reviewer questions, corrects misreadings, points to evidence already in the paper without promising new experiments, and preserves double-blindness.

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

# PerCom Author Response Use this after PerCom reviews are released **and you have been invited to submit a rebuttal**. PerCom's rebuttal is a **single, bounded turn**: it answers the reviewers' explicit questions, resolves misunderstandings, and clarifies — and the call states that **new experiments are not expected**. There is no journal-style revision that follows, so the rebuttal must win with the paper you already submitted. It remains **double-blind**: reveal no author, institution, testbed, or dataset-owner identity. ## First: did you clear the early-rejection gate? Papers with no positive review are **early-rejected** before the rebuttal opens — there is no rebuttal to write for those. If you were invited, at least one reviewer sees a path to publication: your job is to give that advocate the answers they need for the TPC discussion, and to neutralize the specific doubts of the others. ## Triage - Answer what affects the decision: significance of the contribution, soundness of the method, **cross-subject / deployment evaluation**, appropriate metrics (F1 vs. pooled accuracy), and clarity. - Use evidence **that already exists in the submitted paper or dataset** — a table, a

What's inside
Steps it walks through
  1. First: did you clear the early-rejection gate?
  2. Triage
  3. Structure the bounded reply
  4. Reviewer pushback patterns
  5. Anonymity in the rebuttal (easy to slip)
  6. Calibration
  7. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the percom-author-response skill do?

Use when drafting an IEEE PerCom rebuttal after being invited following the initial reviews, covering the bounded single-round reply that answers explicit reviewer questions, corrects misreadings, points to evidence already in the paper without promising new experiments, and preserves double-blindness.

How do I install it?

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