Agent skill · Media & Video

uist-camera-ready

Use when converting a conditional UIST acceptance into a published paper — delivering the rebuttal-promised changes by the July deadline, working the ACM TAPS pipeline with alt text for every figure and table, de-anonymizing correctly, finalizing the video figure, and preparing the Detroit talk and demo.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill uist-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: 6 KB
Bundled scripts: none
Path: UIST-Skills/skills/uist-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

# UIST Camera-Ready A UIST acceptance is conditional: the June 27 notification (2026 cycle, verified 2026-07-08) accepts the paper *as amended by your rebuttal*, and the July 24 camera-ready is where those amendments come due. This phase has three workstreams — the contractual edits, the ACM production pipeline with its accessibility requirements, and conference logistics — and they share four wee

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About this skill
What does the uist-camera-ready skill do?

Use when converting a conditional UIST acceptance into a published paper — delivering the rebuttal-promised changes by the July deadline, working the ACM TAPS pipeline with alt text for every figure and table, de-anonymizing correctly, finalizing the video figure, and preparing the Detroit talk and demo.

How do I install it?

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