A skill your agent uses 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…

MITAuto-check passedResearch & Science

Install Icalp Camera Ready

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-camera-ready -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icalp-camera-ready --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ICALP-Skills/skills/icalp-camera-ready .claude/skills/icalp-camera-ready && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
icalp-camera-ready
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
470 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Preparing an accepted ICALP (EATCS) paper for the LIPIcs open-access camera-ready — converting to the lipics-v2021 document class
  • SKILL.md covers Convert to LIPIcs, De-anonymize systematically, Complete LIPIcs metadata and Reconcile body and full version, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • De-anonymizing (restoring authors

What it does

Icalp Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science. It works with arXiv. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Preparing an accepted ICALP (EATCS) paper for the LIPIcs open-access camera-ready — converting to the lipics-v2021 document class
  • De-anonymizing (restoring authors
  • Acknowledgements
  • Completing LIPIcs metadata (ACM CCS

Example prompts

  • “/icalp-camera-ready”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Icalp Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 470 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 470 words, ~1,181 tokens.

Download SKILL.mdSave it as .claude/skills/icalp-camera-ready/SKILL.md (or your agent's skills folder).
name
icalp-camera-ready
description
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.

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 double-blind; the camera-ready is not. Restore everything you removed:

text
[ ] Author names, affiliations, and ORCIDs in the LIPIcs author block
[ ] Acknowledgements (advisors, discussions, anonymous-referee thanks)
[ ] Funding / grant numbers (required by many funders; LIPIcs has a funding field)
[ ] First-person self-citation restored where natural ("in our earlier work [12]")
[ ] The public full-version link (arXiv/ECCC/HAL) now openly referenced

Sweep for leftover anonymization: "[anonymized]" placeholders, blanked acknowledgements, and "the full version" phrasing that should now name the arXiv handle.

Complete LIPIcs metadata

LIPIcs records are richly indexed; fill every field:

  • ACM 2012 CCS concepts (the classification LIPIcs requires) and keywords.
  • ORCID for each author.
  • Category / related version fields linking the LIPIcs paper to the arXiv/ECCC full version (LIPIcs supports an explicit "related version" for this).
  • Funding statements per author.
  • Correct track designation (A or B) if the proceedings distinguish them.
Show full SKILL.md (218 more words)Show less

Reconcile body and full version

  • Ensure the theorem statements and numbering in the LIPIcs body match the public full version so citations to "Theorem 3" resolve the same way in both.
  • If reviews prompted a fix, apply it in both the LIPIcs version and the arXiv full version, and refresh arXiv around publication.
  • The proceedings version may again defer full proofs to the full version — but every claim in the LIPIcs paper must still be either proved or precisely referenced (icalp-supplementary).

Production and logistics

  • Run the LIPIcs/Dagstuhl checklist (metadata completeness, class compliance, PDF/A-friendly fonts, no overfull hboxes in the final).
  • Confirm the copyright/consent step (LIPIcs is open access under a Creative Commons license — authors retain copyright; verify the current license wording).
  • Arrange for at least one author to register and present — presentation is expected for the paper to appear.
  • Meet the camera-ready deadline; LIPIcs volumes are produced on a fixed schedule and late files risk exclusion.

Common camera-ready misses

  • Leaving the paper in a non-LIPIcs class and scrambling at the deadline.
  • Forgetting ORCIDs / CCS / funding metadata (holds up production).
  • A dangling "[anonymized]" or blanked acknowledgement.
  • Body and arXiv full version drifting out of sync on theorem numbering.
  • Assuming the full proofs must now be inlined — the full version still carries them; the LIPIcs paper references it.

Output format

text
[Class] lipics-v2021 compiles clean? yes/no
[De-anonymized] authors/affil/ORCID/acks/funding restored? leftover [anonymized]? 
[Metadata] ACM CCS + keywords + ORCIDs + related-version (full version) complete? yes/no
[Body/full-version] theorem numbering consistent; both updated for review fixes? yes/no
[Production] LIPIcs checklist + license + presenter arranged? yes/no
[Fix queue] <ordered, with the camera-ready deadline>

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in ICALP-Skills/skills/icalp-camera-ready of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Icalp Camera Ready next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Icalp Camera Ready compared with similar skills
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Icalp Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
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Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Openalex Databaseneflibata-feng/MyArxiv-Agent12612 repos~3kAutomated safety check: PassCustom licence
Citation Verification GuideGalaxy-Dawn/claude-scholar5.7k2 repos~1.9kAutomated safety check: PassMIT
Citation ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT

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Works with

Questions about Icalp Camera Ready

What does Icalp Camera Ready do?

A skill your agent uses 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…. Icalp Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Icalp Camera Ready?

Icalp Camera Ready fits situations like: preparing an accepted ICALP (EATCS) paper for the LIPIcs open-access camera-ready — converting to the lipics-v2021 document class; de-anonymizing (restoring authors; acknowledgements; completing LIPIcs metadata (ACM CCS.

How do I install Icalp Camera Ready in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-camera-ready -a claude-code`. Or copy the skill folder (ICALP-Skills/skills/icalp-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icalp-camera-ready in your project. Claude Code loads it when a task matches its description.

How do I install Icalp Camera Ready in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-camera-ready -a codex`. Or copy the skill folder (ICALP-Skills/skills/icalp-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icalp-camera-ready in your project. Codex loads it when a task matches its description.

Can I use Icalp Camera Ready in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-camera-ready -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/icalp-camera-ready, .gemini/skills/icalp-camera-ready, .github/skills/icalp-camera-ready and .opencode/skills/icalp-camera-ready in your project.

What does Icalp Camera Ready need to run?

SKILL.md names no scripts, command-line tools or credentials: Icalp Camera Ready is instructions for the agent only.

Does Icalp Camera Ready access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Icalp Camera Ready safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Icalp Camera Ready use?

Icalp Camera Ready is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Icalp Camera Ready use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Icalp Camera Ready?

Skills that share tags, products or a category with Icalp Camera Ready: Read arXiv Paper (karpathy/nanochat, 59k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars) and Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Icalp Camera Ready?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.