Agent skill · Data & Analytics

chi-supplementary

Use when assembling supplementary materials for an ACM CHI submission — the video figure with mandatory closed captions, appendices, study instruments, code and data archives — all due with the paper on the single September deadline, anonymized end to end, plus the camera-ready video preview.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill chi-supplementary --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: CHI-Skills/skills/chi-supplementary/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

# CHI Supplementary Materials CHI collects the paper, the video figure, and every supplementary file **together on the one submission deadline** (September 10, 2026 for CHI 2027, per chi2027.acm.org, read 2026-07-08). There is no later supplement slot, so supplement production is deadline-week work that must be scheduled like writing. Everything uploaded is part of the anonymous review record; everything accepted ships to the ACM Digital Library beside the paper, permanently. ## What goes where | Material | Phase | Governing rule | |---|---|---| | Video figure (≤ ~5 min, illustrates the work) | With submission | Anonymized; closed captions required | | Appendices (instruments, extra tables, prompts) | With submission | Reviewed at reviewer discretion; paper must stand alone | | Code / data archive | With submission | De-identified, anonymous, no `.git` history | | Consent/IRB templates | With submission | Templated versions only — these files name institutions by design | | Video preview (~30 s pitch) | Camera-ready (publication-ready deadline) | Accepted papers only; captioned; goes to DL and program | | Final supplements | Publication-ready deadline | De-anonymized, captioned, ar

What's inside
Steps it walks through
  1. What goes where
  2. The video figure
  3. Anonymization has more surface area here than in the paper
  4. Structure the archive for a tired reviewer
  5. The video preview (after acceptance)
  6. Cycle-volatile items
  7. Output format
Commands it runs
Video figure QA before PCS upload
ffprobe -v error -show_entries format=duration,size -of default=nw=1 videofigure.mp4
ffmpeg -i videofigure.mp4 -i videofigure.srt -c copy -c:s mov_text captioned.mp4
ffprobe -v error -select_streams s -show_entries stream=codec_name captioned.mp4  # captions present?
Archive hygiene for the code/data supplement
zip -r supplement.zip supplement/ -x '*.git*' '*.DS_Store' '*node_modules*'
unzip -l supplement.zip | grep -Ei 'consent|irb|\.env|id_rsa|\.key' && echo "PURGE THESE"
More from Awesome-Journal-Skills
All skills →
About this skill
What does the chi-supplementary skill do?

Use when assembling supplementary materials for an ACM CHI submission — the video figure with mandatory closed captions, appendices, study instruments, code and data archives — all due with the paper on the single September deadline, anonymized end to end, plus the camera-ready video preview.

How do I install it?

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