A skill your agent uses when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the…

MITAuto-check passed

Install Atc Camera Ready

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

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

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

At a glance

A skill your agent uses when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the…

  • Preparing the ATC (ACM SIGOPS Annual Technical Conference
  • SKILL.md covers Satisfy the shepherd first, Systematic de-anonymization, Format and production and ACM Open Access metadata and…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically

What it does

Atc Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the shepherd's required revisions, permanentizing artifact links, completing ACM Open Access metadata and the transition APC, and passing production checks for the November Hong Kong 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 the ATC (ACM SIGOPS Annual Technical Conference
  • Formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically
  • Folding in the shepherds required revisions
  • Permanentizing artifact links

Example prompts

  • “/atc-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

Atc Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 403 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
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). 403 words, ~1,152 tokens.

Download SKILL.mdSave it as .claude/skills/atc-camera-ready/SKILL.md (or your agent's skills folder).
name
atc-camera-ready
description
Use when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the shepherd's required revisions, permanentizing artifact links, completing ACM Open Access metadata and the transition APC, and passing production checks for the November Hong Kong proceedings.

ATC Camera-Ready

Use this after a conditional accept. Final acceptance is gated by the shepherd, so the camera-ready is not just formatting — it must fold in every required revision and pass the shepherd's sign-off, then satisfy ACM Open Access production. ATC 2026 publishes in the ACM Digital Library (a change from the old USENIX proceedings model), so the metadata and cost steps are new relative to pre-2026 USENIX ATC.

Satisfy the shepherd first

  • Treat the shepherd's required-revisions list as binding for acceptance. Fold each change into the camera-ready and keep the description-of-changes (see atc-author-response) in sync with what actually landed.
  • Do not use the de-anonymization pass to quietly re-expand scope; the shepherd is checking that the paper the PC accepted is the paper being published.
  • Get explicit shepherd sign-off before treating the paper as final.

Systematic de-anonymization

The submission was double-blind; the camera-ready is not. Reverse every anonymization deliberately:

text
[Authors]     add the author list, affiliations, and ORCIDs
[Self-cites]  restore first-person references where accurate ("our earlier system X [12]")
[System name] restore the real system/product name if you used a neutral placeholder
[Artifact]    swap anonymized/blind-mirror links for the public, DOI-issuing archive
[Acks]        add acknowledgments and funding/grant lines held out for blind review
[Metadata]    set real PDF author/title metadata (it was scrubbed for submission)

Cross-check: search the final PDF for leftover placeholders ("Anonymous," "System-X-anon," blind URLs) — a stray one is the classic camera-ready miss.

Format and production

  • Keep the two-column format (178 × 229 mm text block, 10pt) and the page budget; the camera-ready may allow the same or a slightly extended limit — confirm the exact camera-ready page allowance on the call (待核实).
  • Which template file the SIGOPS edition mandates (the USENIX template vs. ACM acmart/equivalent) is 待核实 — verify before recompiling, since ACM production checks depend on it.
  • Embed all fonts, check figure resolution and color-blind legibility, and confirm the PDF passes the venue's automated production/format checker.
Show full SKILL.md (152 more words)Show less

ACM Open Access metadata and cost

ATC 2026 papers publish under ACM Open Access:

  • Complete the ACM rights/e-rights form, author and affiliation metadata, ACM CCS concepts, keywords, and the abstract as it will index in the ACM DL.
  • Budget for the transition APC — subsidized for 2026 (reported around US$250 for ACM/SIG members and US$350 for non-members); confirm the current figure, member split, and any waiver on the ACM/SIGOPS terms.
  • Ensure the artifact links are permanent (DOI-issuing archive), since the published paper cites them and the AEC badges attach to this version (see atc-artifact-evaluation).

Presentation and legacy-media note

USENIX ATC historically posted free proceedings, slides, and talk videos; under ACM Open Access the proceedings are openly available via the ACM DL, and the conference is in Hong Kong, 15-18 November 2026. Confirm the current slides/video policy and the presenter requirement (at least one author presents) on the venue page.

Pre-submission checklist

text
[Shepherd]    all required revisions folded in and signed off? yes/no
[De-anon]     authors, affiliations, self-cites, system name, acks, artifact links restored?
[Leftovers]   no "Anonymous"/blind-URL/placeholder strings in the final PDF?
[Format]      two-column template, page allowance, embedded fonts, production checker passed?
[ACM OA]      rights form, metadata, CCS/keywords complete? APC handled?
[Artifact]    permanent DOI link cited; badges attached to this version?

Output format

text
[Camera-ready status] ready / blocked on shepherd / blocked on production
[Shepherd] required revisions folded + signed off? yes/no
[De-anonymization] complete and leftover-free? gaps: <where>
[ACM Open Access] rights form, metadata, APC done? artifact DOI permanent?
[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 ATC-Skills/skills/atc-camera-ready of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Atc 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.

Atc Camera Ready compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Atc 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
Usenix Annual Technical Conferencefranklee16/academic-research-skills2231 repos~1.9kAutomated safety check: PassNone

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Questions about Atc Camera Ready

What does Atc Camera Ready do?

A skill your agent uses when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the…. Atc Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically, folding in the shepherd's required revisions, permanentizing artifact links, completing ACM Open Access metadata and the transition APC, and passing production checks for the November Hong Kong proceedings.

When should I use Atc Camera Ready?

Atc Camera Ready fits situations like: preparing the ATC (ACM SIGOPS Annual Technical Conference; formerly USENIX ATC) camera-ready after a conditional accept — de-anonymizing systematically; folding in the shepherds required revisions; permanentizing artifact links.

How do I install Atc Camera Ready in Claude Code?

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

How do I install Atc Camera Ready in Codex?

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

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

What does Atc Camera Ready need to run?

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

Does Atc 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 Atc 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 Atc Camera Ready use?

Atc 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 Atc Camera Ready use?

About 1.2k tokens (SKILL.md is roughly 4.6k 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 Atc Camera Ready?

Skills that share tags, products or a category with Atc 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 Atc 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.