A skill your agent uses when preparing an accepted ACM PODS paper for its PACMMOD-track camera-ready, covering de-anonymization, the final acmsmall format and PACMMOD journal metadata (DOI, ORCID…

MITAuto-check passedResearch & Science

Install Pods Camera Ready

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills pods-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/PODS-Skills/skills/pods-camera-ready .claude/skills/pods-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
pods-camera-ready
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
458 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 ACM PODS paper for its PACMMOD-track camera-ready, covering de-anonymization, the final acmsmall format and PACMMOD journal metadata (DOI, ORCID…

  • Preparing an accepted ACM PODS paper for its PACMMOD-track camera-ready
  • SKILL.md covers Camera-ready audit, De-anonymization sweep, PACMMOD production checks and Worked example: integrating a…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering de-anonymization

What it does

Pods Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACM PODS paper for its PACMMOD-track camera-ready, covering de-anonymization, the final acmsmall format and PACMMOD journal metadata (DOI, ORCID, CCS concepts), integrating shepherd-required revision items without overclaiming, posting and DOI-linking the arXiv full version, and confirming registration and presentation.

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, covering Academic paper search. 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 ACM PODS paper for its PACMMOD-track camera-ready
  • Covering de-anonymization
  • The final acmsmall format and PACMMOD journal metadata (DOI
  • Integrating shepherd-required revision items without overclaiming

Example prompts

  • “/pods-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

Pods Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 458 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~93
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). 458 words, ~1,211 tokens.

Download SKILL.mdSave it as .claude/skills/pods-camera-ready/SKILL.md (or your agent's skills folder).
name
pods-camera-ready
description
Use when preparing an accepted ACM PODS paper for its PACMMOD-track camera-ready, covering de-anonymization, the final acmsmall format and PACMMOD journal metadata (DOI, ORCID, CCS concepts), integrating shepherd-required revision items without overclaiming, posting and DOI-linking the arXiv full version, and confirming registration and presentation.

PODS Camera Ready

Use this after acceptance. PODS research papers are published in the PACMMOD PODS track (Proceedings of the ACM on Management of Data), so the camera-ready is a journal-style production step, not just a formatting pass. Reopen the current PACMMOD/PODS author instructions, the decision/shepherd email, and the registration page before advising.

Camera-ready audit

  • De-anonymize completely: restore the author block, affiliations, ORCIDs, acknowledgements, funding, and any real system name that lightweight double-anonymity forced you to hide — in the body and the appendix.
  • Apply the final format: the acmart class in the PACMMOD/acmsmall production variant the instructions name (drop the review,anonymous options), within the stated page allowance.
  • Complete PACMMOD journal metadata: title/abstract, author order, ORCIDs, ACM CCS concepts and keywords, and the DOI-bearing citation once assigned. Journal-style metadata errors are harder to fix after publication than conference ones.
  • Integrate the shepherd's required revision items faithfully — every item from a minor/major revision made and reflected — without strengthening a theorem beyond what the proofs establish.
  • Post the full version on arXiv and DOI-link it: the community norm is a complete full version; ensure its theorem statements match the PACMMOD version exactly.
  • Confirm registration and presentation obligations; at least one author presents at the PODS symposium.

De-anonymization sweep

Anonymized at submissionRestore at camera-readyWatch for
Author block, affiliations, ORCIDFull, correctly orderedWrong author order breaks the DOI citation
Acknowledgements, fundingRestoredGrant numbers required by funders
Self-citations (third person)Natural first-person where it aids clarityOver-correcting and double-citing your own work
A prototype/system nameReal name throughout body, appendix, figuresA leftover anonymized placeholder in a proof or caption
arXiv full-version linkPublic arXiv URL + DOI cross-linkAn anonymized/withheld link surviving in a footnote
Show full SKILL.md (175 more words)Show less

PACMMOD production checks

text
[Template]   acmart in the PACMMOD/acmsmall production variant; review+anonymous options removed
[Metadata]   title, abstract, authors+ORCID, CCS concepts, keywords entered and matching the PDF
[References] complete and consistent; DOIs where available (references are unlimited, not page-counted)
[Proofs]     the shepherd-required proof fixes integrated; appendix consistent with the body
[Rights]     ACM e-rights/copyright form completed; correct rights statement on the first page
[arXiv]      full version posted, de-anonymized, theorem statements matching, DOI cross-linked

Worked example: integrating a shepherd-required fix

The shepherd required completing the complexity accounting in a theorem and labeling a lower bound as conditional on OMv. Camera-ready move: expand the accounting in the body with the deferred steps in the appendix, add the "conditional on OMv" qualifier at the theorem's point of statement, restore the real system name used in the running example, and post the arXiv full version whose Theorem 4 reads identically — without widening the claim the reviewers accepted.

arXiv full-version handoff

The PACMMOD paper is the extended abstract of record; the arXiv full version is the community's complete reference. Keep them consistent: the same theorem numbers and statements, the same assumptions, and a DOI cross-link in both directions. This is the PODS analogue of releasing an artifact — a readable, permanent full proof, not a badge.

Hedged logistics

  • Page allowances, metadata fields, rights-form mechanics, the exact acmart production variant, and camera-ready dates change each cycle; confirm against the decision email and current PACMMOD/PODS instructions rather than a prior year.

Output format

text
[Camera-ready status] ready / needs fixes / blocked
[De-anonymization] author block / acks / system name / links restored in body + appendix? yes/no
[PACMMOD metadata] ORCID / CCS / keywords / rights form complete? yes/no
[Shepherd-item map] <required revision item -> final edit, no overclaim>
[arXiv full version] posted, de-anonymized, statements matching, DOI cross-linked? yes/no
[Remaining owner] <person -> task>

© 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 PODS-Skills/skills/pods-camera-ready of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Pods 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.

Pods Camera Ready compared with similar skills
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Pods 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 ManagementK-Dense-AI/claude-scientific-writer2.4k2 repos~3.9kAutomated safety check: NotesMIT
Citation Managementneflibata-feng/MyArxiv-Agent12619 repos~8.1kAutomated safety check: NotesMIT

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Works with

Questions about Pods Camera Ready

What does Pods Camera Ready do?

A skill your agent uses when preparing an accepted ACM PODS paper for its PACMMOD-track camera-ready, covering de-anonymization, the final acmsmall format and PACMMOD journal metadata (DOI, ORCID…. Pods Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACM PODS paper for its PACMMOD-track camera-ready, covering de-anonymization, the final acmsmall format and PACMMOD journal metadata (DOI, ORCID, CCS concepts), integrating shepherd-required revision items without overclaiming, posting and DOI-linking the arXiv full version, and confirming registration and presentation.

When should I use Pods Camera Ready?

Pods Camera Ready fits situations like: preparing an accepted ACM PODS paper for its PACMMOD-track camera-ready; covering de-anonymization; the final acmsmall format and PACMMOD journal metadata (DOI; integrating shepherd-required revision items without overclaiming.

How do I install Pods Camera Ready in Claude Code?

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

How do I install Pods Camera Ready in Codex?

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

Can I use Pods 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 pods-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/pods-camera-ready, .gemini/skills/pods-camera-ready, .github/skills/pods-camera-ready and .opencode/skills/pods-camera-ready in your project.

What does Pods Camera Ready need to run?

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

Does Pods 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 Pods 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 Pods Camera Ready use?

Pods 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 Pods Camera Ready use?

About 1.2k tokens (SKILL.md is roughly 4.8k 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 Pods Camera Ready?

Skills that share tags, products or a category with Pods 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 Management (K-Dense-AI/claude-scientific-writer, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pods Camera Ready?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.