Agent skill · Workflow & Productivity

facct-camera-ready

Use when preparing an accepted ACM FAccT paper for camera-ready — de-anonymizing and adding the withheld Positionality/Acknowledgements statements, switching to the acmart sigconf proceedings format, ACM metadata (DOI, ORCID, CCS concepts, rights), the two-round camera-ready calendar for Accept vs Revise papers, ACM Open Access, finalizing datasheets/model cards, and integrating required changes without scope creep.

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

# FAccT Camera Ready Use this after acceptance. FAccT papers are **archival ACM proceedings** (unless you chose non-archival), so the camera-ready is an ACM production step. Reopen the current camera-ready instructions, the decision email, and the rights/Open-Access pages before advising — and note the **two-round calendar**: Round-1 accepts and Revise-and-resubmit accepts have **different** camera-ready deadlines (FAccT 2026: **24 April** and **11 May** respectively). ## Camera-ready audit - **De-anonymize completely** and **add the withheld endmatter:** restore the author block, affiliations, and now add the **Positionality**, **Acknowledgements**, **Author Contributions**, and **Competing Interests** statements that mutual anonymity required you to hold back. The Positionality statement in particular exists only from this point on. - **Switch to the proceedings format:** move from the anonymous `review` build to the acmart **`sigconf`** camera-ready, within the current page budget (Revised/accepted papers may use 15 content pages; confirm). - **Keep the required Generative AI Usage Statement** accurate for the final manuscript. - **Complete ACM metadata:** title/abstract, author

What's inside
Steps it walks through
  1. Camera-ready audit
  2. De-anonymization + endmatter sweep
  3. ACM production checks
  4. Worked example: integrating a Revise-round fix
  5. Hedged logistics
  6. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the facct-camera-ready skill do?

Use when preparing an accepted ACM FAccT paper for camera-ready — de-anonymizing and adding the withheld Positionality/Acknowledgements statements, switching to the acmart sigconf proceedings format, ACM metadata (DOI, ORCID, CCS concepts, rights), the two-round camera-ready calendar for Accept vs Revise papers, ACM Open Access, finalizing datasheets/model cards, and integrating required changes without scope creep.

How do I install it?

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