A skill your agent uses when preparing a PPoPP camera-ready, covering systematic de-anonymization, ACM rights/eRights and CCS concepts metadata, restoring the named hardware and acknowledgements…

MITAuto-check passed

Install Ppopp Camera Ready

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ppopp-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/PPoPP-Skills/skills/ppopp-camera-ready .claude/skills/ppopp-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
ppopp-camera-ready
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
398 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when preparing a PPoPP camera-ready, covering systematic de-anonymization, ACM rights/eRights and CCS concepts metadata, restoring the named hardware and acknowledgements…

  • Preparing a PPoPP camera-ready
  • SKILL.md covers De-anonymize systematically, ACM rights and metadata, Artifact and badges and Production checks for the…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering systematic de-anonymization

What it does

Ppopp Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing a PPoPP camera-ready, covering systematic de-anonymization, ACM rights/eRights and CCS concepts metadata, restoring the named hardware and acknowledgements, permanentizing the artifact DOI and any earned badges, and passing ACM production checks for the two-column acmart sigplan proceedings.

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.

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 a PPoPP camera-ready
  • Covering systematic de-anonymization
  • ACM rights/eRights and CCS concepts metadata
  • Restoring the named hardware and acknowledgements

Example prompts

  • “/ppopp-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

Ppopp Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 398 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
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). 398 words, ~1,209 tokens.

Download SKILL.mdSave it as .claude/skills/ppopp-camera-ready/SKILL.md (or your agent's skills folder).
name
ppopp-camera-ready
description
Use when preparing a PPoPP camera-ready, covering systematic de-anonymization, ACM rights/eRights and CCS concepts metadata, restoring the named hardware and acknowledgements, permanentizing the artifact DOI and any earned badges, and passing ACM production checks for the two-column acmart sigplan proceedings.

PPoPP Camera-Ready

Prepare the final version after acceptance (PPoPP 2026: final paper due 9 January 2026). The camera-ready converts an anonymized submission into an archival ACM proceedings paper in the two-column acmart sigplan format. It is separate from the artifact-evaluation deadline; do not let one slip because you were focused on the other. Work through de-anonymization, ACM metadata, and production checks methodically — a rushed camera-ready is where identity leaks and rights errors happen.

De-anonymize systematically

The submission hid identity in several places; restore them all, deliberately:

text
[Authors]        real names, affiliations, ORCIDs, contact author
[Machines]       restore the named cluster/supercomputer/GPU facility you abstracted for review
[Acknowledgements] funding, grant numbers, facility allocations, collaborators
[Self-citation]  switch "prior work [12]" back to "our prior work [12]" where accurate
[System names]   restore the real name of your runtime/library/tool
[Artifact links] replace the anonymized artifact link with the public DOI archive

Do a reverse pass of the double-blind sweep you ran at submission: every place you removed identity now gets it back, and nowhere is left half-anonymized.

ACM rights and metadata

  • Complete the ACM eRights process; paste the returned rights block, DOI, and conference citation into the acmart preamble exactly as issued.
  • Set \documentclass[sigplan,...]{acmart} per the current author kit; do not switch document class or column format at camera-ready.
  • Fill CCS Concepts and keywords — required ACM metadata that also feeds indexing; choose concepts under computing methodologies / parallel computing that match your contribution.
  • Confirm the paper title, author order, and abstract match what was accepted; late changes need chair approval.

Artifact and badges

  • If the artifact earned badges (Functional/Reusable and/or Results Reproduced), add the ACM badge images the AE chairs specify and cite the archived artifact.
  • Add the Artifacts Available badge if you deposited the artifact and received the publisher-granted green badge from your DOI link.
  • Replace every anonymized/placeholder link with the permanent DOI (Zenodo/figshare/Software Heritage); a personal GitHub URL is not archival and may rot before the proceedings do.
  • Verify the paper's Data/Artifact Availability statement points at the final DOI, not a review-time placeholder.
Show full SKILL.md (119 more words)Show less

Production checks for the two-column proceedings

text
[Class]        acmart sigplan, current kit revision; no manual margin/font overrides
[Fonts]        all embedded; check with pdffonts
[Figures]      vector where possible; speedup curves legible at print size; no column overflow
[Color]        readable in grayscale (many proceedings print/copy in B&W); don't encode data by hue alone
[References]   full author lists (no "et al."); DOIs present; ACM reference format
[Metadata]     rights block, DOI, CCS concepts, keywords, ORCIDs all filled
[Page count]   within the camera-ready limit (the extra page some venues grant is cycle-specific — confirm)

Common camera-ready failures

  • Half de-anonymized — real authors but a still-abstracted "an anonymous cluster," or a self-citation left in third person.
  • Placeholder artifact link shipped to the archive — the anonymized URL never swapped for the DOI.
  • Wrong acmart mode — switching away from sigplan two-column, or overriding the template.
  • Rights block mismatch — DOI or conference string not the one ACM eRights issued.
  • Grayscale-illegible plots — speedup lines distinguished only by color.

Calibration

  • Confirm the exact camera-ready page limit and whether an extra page is granted this cycle.
  • Confirm the current ACM author-kit acmart revision and the badge-image requirements with the AE chairs.
  • Keep the AE deadline and the camera-ready deadline on separate calendar entries.

Output format

text
[De-anon] authors/machines/acks/self-cites/system-names/artifact-link all restored? yes/no
[ACM metadata] rights block + DOI + CCS + keywords + ORCIDs filled? yes/no
[Artifact] DOI permanent, badges added as earned (incl. Available)? yes/no
[Production] acmart sigplan, fonts embedded, grayscale-legible, refs full, within page limit? yes/no
[Blockers] <ordered list before 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 PPoPP-Skills/skills/ppopp-camera-ready of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ppopp 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.

Ppopp Camera Ready compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ppopp Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Audit Preparationsickn33/agentic-awesome-skills47k1 repos~5.3kAutomated safety check: PassMIT
Release PreparationCherryHQ/cherry-studio52k—~4.3kAutomated safety check: PassAGPL-3.0
Prepare Paperclip PRpaperclipai/paperclip99k—~954Automated safety check: PassMIT
Prepare MCP Integrationpaperclipai/paperclip99k—~3.1kAutomated safety check: PassMIT
Frost Sequence Camera Orbitheygen-com/hyperframes59k1 repos~9.6kAutomated safety check: PassApache-2.0

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Questions about Ppopp Camera Ready

What does Ppopp Camera Ready do?

A skill your agent uses when preparing a PPoPP camera-ready, covering systematic de-anonymization, ACM rights/eRights and CCS concepts metadata, restoring the named hardware and acknowledgements…. Ppopp Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing a PPoPP camera-ready, covering systematic de-anonymization, ACM rights/eRights and CCS concepts metadata, restoring the named hardware and acknowledgements, permanentizing the artifact DOI and any earned badges, and passing ACM production checks for the two-column acmart sigplan proceedings.

When should I use Ppopp Camera Ready?

Ppopp Camera Ready fits situations like: preparing a PPoPP camera-ready; covering systematic de-anonymization; ACM rights/eRights and CCS concepts metadata; restoring the named hardware and acknowledgements.

How do I install Ppopp Camera Ready in Claude Code?

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

How do I install Ppopp Camera Ready in Codex?

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

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

What does Ppopp Camera Ready need to run?

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

Does Ppopp 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 Ppopp 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 Ppopp Camera Ready use?

Ppopp 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 Ppopp 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 Ppopp Camera Ready?

Skills that share tags, products or a category with Ppopp Camera Ready: Audit Preparation (sickn33/agentic-awesome-skills, 47k stars), Release Preparation (CherryHQ/cherry-studio, 52k stars), Prepare Paperclip PR (paperclipai/paperclip, 99k stars) and Prepare MCP Integration (paperclipai/paperclip, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ppopp 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.