chi-submission
Use when auditing an ACM CHI Papers submission for PCS readiness, covering the September full-paper deadline, the anonymized single-column template, word-count norms instead of page limits, subcommittee designation, supplementary and video upload, anonymization of external links, and CHI's desk-reject triage before upload.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill chi-submission --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# CHI Submission Run this audit before uploading to PCS (Precision Conference Solutions) — CHI does not use OpenReview or CMT. Every date and cap below was read from the CHI 2027 Papers pages on 2026-07-08 through search-engine renderings (direct fetches of `chi2027.acm.org` were blocked in the verification environment); reopen the live pages before acting on any number. ## What the CHI 2027 cycle
What does the chi-submission skill do?
Use when auditing an ACM CHI Papers submission for PCS readiness, covering the September full-paper deadline, the anonymized single-column template, word-count norms instead of page limits, subcommittee designation, supplementary and video upload, anonymization of external links, and CHI's desk-reject triage before upload.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill chi-submission --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.