Agent skill · Data & Analytics

acmmm-camera-ready

Use when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poster presentation in Rio.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready --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-camera-ready/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 Camera-Ready Use this after acceptance to turn the reviewed PDF into the ACM Digital Library version of record. Camera-ready is a distinct piece of work with its own deadline (reported August 6 for 2026) and its own failure modes — several of them ACM-specific. ## De-anonymization pass The reviewed paper was anonymous (main track); the camera-ready is not. Reverse the blinding carefully: - Add author names, affiliations, and acknowledgements/funding. - Restore "our previous work" phrasing and the real repository/dataset URLs. - Replace the anonymous data/code mirror with the **permanent, public** archive (DOI). - Re-check that no *anonymous-only* placeholder text survives. ## ACM publishing requirements | Item | What to do | |---|---| | ACM rights form | Complete the eRights process; paste the returned rights block and DOI into the paper | | CCS concepts | Add ACM Computing Classification System concepts and author keywords | | sigconf compliance | Final PDF in the current ACM `sigconf` template; pass ACM's PDF/format check | | Reference/overflow | References may occupy the extra pages; the body stays within the accepted length | | Metadata | Title, authors, affiliations,

What's inside
Steps it walks through
  1. De-anonymization pass
  2. ACM publishing requirements
  3. Artifact and badge release
  4. Registration and attendance
  5. Presentation prep by tier
  6. The ACM eRights step, in order
  7. Media for the ACM Digital Library
  8. Final camera-ready checklist
  9. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the acmmm-camera-ready skill do?

Use when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poster presentation in Rio.

How do I install it?

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