Agent skill · Data & Analytics

imc-camera-ready

Use when preparing an accepted ACM IMC paper for the proceedings, covering systematic de-anonymization, finalizing the Ethics and artifact-availability statements, permanentizing dataset and code links to DOI-issuing archives, satisfying the availability shepherd, Community Contribution Award eligibility, and ACM production checks.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill imc-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: 5 KB
Bundled scripts: none
Path: IMC-Skills/skills/imc-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

# IMC Camera-Ready Use this after an IMC Accept (or a successful One-Shot-Revision). The camera-ready is not just a de-anonymized PDF: it is where the **availability declaration becomes a real public release**, the **Ethics statement is finalized**, and the paper enters the ACM Digital Library proceedings. The shepherd is watching for the artifact you promised, and the **Community Contribution Award** is judged on what is public **by the camera-ready deadline**. ## De-anonymization sweep (the reverse of submission) Now the paper carries identity — completely and correctly: - Restore author names, affiliations, and ORCIDs in the `acmart` metadata. - Restore acknowledgements: funders, grant numbers, and the operators/providers who granted vantage-point or data access. - Convert third-person references to your own prior work back to first person where appropriate. - Replace every anonymized dataset/tool link with the **permanent public** URL. - Restore vantage-point and testbed attributions that were anonymized for review. ## Permanentize the dataset and code The shepherd checks availability; a link that rots is a failure: ```text [Archive] deposit the dataset/tool in a DOI-issuing ar

What's inside
Steps it walks through
  1. De-anonymization sweep (the reverse of submission)
  2. Permanentize the dataset and code
  3. Finalize the Ethics statement
  4. Satisfy the shepherd
  5. Community Contribution Award readiness (if applicable)
  6. ACM production checks
  7. Common camera-ready failures
  8. Calibration
  9. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the imc-camera-ready skill do?

Use when preparing an accepted ACM IMC paper for the proceedings, covering systematic de-anonymization, finalizing the Ethics and artifact-availability statements, permanentizing dataset and code links to DOI-issuing archives, satisfying the availability shepherd, Community Contribution Award eligibility, and ACM production checks.

How do I install it?

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