icalp-camera-ready
Use when preparing an accepted ICALP (EATCS) paper for the LIPIcs open-access camera-ready — converting to the lipics-v2021 document class, de-anonymizing (restoring authors, affiliations, ORCIDs, acknowledgements, and funding), completing LIPIcs metadata (ACM CCS, keywords, DOI cross-references), reconciling the body with the public full version, and passing Dagstuhl production checks.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-camera-ready --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.
# ICALP Camera-Ready Use this after acceptance. The ICALP camera-ready is a **LIPIcs** (Leibniz International Proceedings in Informatics, Schloss Dagstuhl) production, so it has requirements a generic "final version" pass misses: the **`lipics-v2021` document class is mandatory**, the paper must be **de-anonymized**, and LIPIcs metadata (author ORCIDs, ACM CCS classification, keywords, funding) must be complete for the open-access record. Confirm the exact deadline and the current LIPIcs author instructions before starting (camera-ready date **待核实** per cycle). ## Convert to LIPIcs - Compile in the **`lipics-v2021`** class from the official LIPIcs bundle. If you drafted in a different class, port early — the LIPIcs style constrains title/author blocks, theorem environments, and the bibliography, and last-minute conversion breaks cross-references. - Respect the LIPIcs page policy for the proceedings version (the style targets a compact page count; the **full version stays on arXiv/ECCC** and is cited, not inlined). - Do not modify the class's margins, fonts, or spacing — Dagstuhl production will bounce a tampered style. ## De-anonymize systematically The submission was lightweight d
- Convert to LIPIcs
- De-anonymize systematically
- Complete LIPIcs metadata
- Reconcile body and full version
- Production and logistics
- Common camera-ready misses
- Output format
What does the icalp-camera-ready skill do?
Use when preparing an accepted ICALP (EATCS) paper for the LIPIcs open-access camera-ready — converting to the lipics-v2021 document class, de-anonymizing (restoring authors, affiliations, ORCIDs, acknowledgements, and funding), completing LIPIcs metadata (ACM CCS, keywords, DOI cross-references), reconciling the body with the public full version, and passing Dagstuhl production checks.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-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 984 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.