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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 fo…

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-author-response

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Supported Platforms

Universal

Our assessment of acmmm-author-response

acmmm-author-response scores 89/100 on our quality scale, 1390th of 4,610 Development & Engineering skills we index (top 31%).

Its SKILL.md is 4.1 KB long, well organised into 10 sections with 4 code examples: a solid amount of guidance for an agent.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
20/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so acmmm-author-response is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

acmmm-author-response compared with similar skills

All 4 of these similar skills score higher than acmmm-author-response; compare them before choosing.

SkillScoreStarsUpdatedFormat
acmmm-author-response (this skill)by brycewang-stanford891.2k18d agoSKILL.md
ai-job-searchby MadsLorentzen10044.8ktodayCLAUDE.md
claude-howtoby luongnv8910041.7k3d agoCLAUDE.md
algorithmic-artby anthropics100177.9k10d agoSKILL.md
pptxby anthropics100177.9k10d agoSKILL.md

Frequently asked questions

How do I install acmmm-author-response?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-author-response. The install tabs above show the steps for each supported agent.
Which AI agents does acmmm-author-response work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is acmmm-author-response safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is acmmm-author-response still maintained?
The repository was last updated 18 days ago, so acmmm-author-response is actively maintained.

name: acmmm-author-response description: 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.

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:

[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-fusion baseline is in Table 1; the mechanism (Table A) is the novelty.
[R2 request: clarify synchronization assumption]
  -> Conceded; we will state it explicitly in §3 (one sentence).

Group shared concerns once; do not repeat the same answer per reviewer.

Small confirmatory results

  • Add only results you can actually produce before the deadline — a leave-one-modality-out ablation, one requested baseline, or a small user-study extension.
  • Describe new numbers in text/tables inside the rebuttal; you cannot add a link to an external file, and you cannot add pages to the paper.
  • Do not promise experiments you cannot show; an AC discounts unbacked promises.

Calibrated concessions

Conceding a fair minor point raises credibility on the points you contest. State clearly what you will change (a sentence, a clarified assumption, a moved figure) and why the core claim survives it.

Policy guardrails

Anonymous: no author names, institutions, or identifying links.
No new external links: results go in the rebuttal text/tables, not a URL.
No scope change: you cannot rewrite the contribution or add pages.
No reviewer-targeting: never argue a reviewer is unqualified or try to identify them.

Length and format discipline

  • Keep the rebuttal tight and scannable; an AC reading many responses rewards structure over volume, and a wall of text buries your best point.
  • Put new evidence in a small in-line table, not prose — a reviewer can check a table in seconds.
  • Respect any length limit the cycle sets, and do not try to smuggle in a link to sidestep it.

Rebuttal skeleton by review type

Strong-reject-on-a-misreading:  correct the fact FIRST, with an exact section/figure pointer.
Borderline-wants-a-baseline:    add the baseline in a mini-table; state it is now in the paper plan.
"Fusion is incremental":        show the mechanism ablation (the term that carries the gain).
"Subjective claim unproven":    report the user study's N, agreement, and result inline.
Fair-minor-point:               concede in one sentence and say exactly what changes.

Tone

Precise and non-defensive. Address the reviewer's underlying concern, not their wording; a rebuttal that reads as annoyed helps the negative reviewer more than you.

Output format

[Factual corrections] <ordered, with exact pointers>
[New results] <ablation/baseline/study added in-rebuttal>
[Concessions] <narrow, with the fix>
[Contested] <judgment points, reframed>
[Policy check] anonymous / no new links / no scope change — pass or fix

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryDevelopment
Updated18d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions