Agent skill

acmmm-author-response

Use when drafting the ACM MM (ACM Multimedia) rebuttal — turning multiple anonymous reviews into one focused, anonymous response that fixes factual errors first, adds small confirmatory cross-modal results, concedes calibratedly, and stays inside policy (anonymous, no new external links), written for the area chair who decides.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-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: 4 KB
Bundled scripts: none
Path: ACM-MM-Skills/skills/acmmm-author-response/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

# ACM MM Author Response Use this to write the ACM Multimedia rebuttal. It is **optional and anonymous**, it must not add new external links, and its real audience is the **area chair** who will weigh it against the reviews in discussion. ## Triage before writing Sort every review point into one of three buckets: | Bucket | Example | Response | |---|---|---| | Factual error | "No ablation of the fusion" (there is one, in §4.3) | Point to it precisely; this is your strongest move | | Fixable gap | "Missing a late-fusion baseline" | Add the small result if you can run it in time | | Judgment call | "The delta is incremental" | Reframe the significance briefly, or concede narrowly | Lead with the factual corrections — they are the points an AC can verify and act on fastest. ## Structure for the AC Write for a reader who is skimming several rebuttals. Make it navigable: ```text [R1, R2 shared concern: fusion not shown to matter] -> Table A (new): leave-one-modality-out; audio-text term = +X of the +Y total gain. [R1 factual: "no user study"] -> §5 reports a user study, N raters, agreement kappa; see supplement S3. [R3 judgment: "incremental over late fusion"] -> Our gain over the late-

What's inside
Steps it walks through
  1. Triage before writing
  2. Structure for the AC
  3. Small confirmatory results
  4. Calibrated concessions
  5. Policy guardrails
  6. Length and format discipline
  7. Rebuttal skeleton by review type
  8. Tone
  9. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the acmmm-author-response skill do?

Use when drafting the ACM MM (ACM Multimedia) rebuttal — turning multiple anonymous reviews into one focused, anonymous response that fixes factual errors first, adds small confirmatory cross-modal results, concedes calibratedly, and stays inside policy (anonymous, no new external links), written for the area chair who decides.

How do I install it?

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