A skill your agent uses when preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance or a successful revision, covering systematic de-anonymization, the extra…

MITAuto-check passed

Install Ase Camera Ready

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills ase-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/ASE-Skills/skills/ase-camera-ready .claude/skills/ase-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
ase-camera-ready
GitHub stars
1.2k
Token cost
~1.2k tokens
SKILL.md length
387 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 ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance or a successful revision, covering systematic de-anonymization, the extra…

  • Preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance
  • SKILL.md covers Systematic de-anonymization, Spend the extra content page, Finalize the Data Availability… and Template and metadata…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • A successful revision

What it does

Ase Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance or a successful revision, covering systematic de-anonymization, the extra content page, the mandatory Data Availability finalization, the correct IEEE/ACM template and metadata, permanentized artifact links, and dual IEEE-Xplore/ACM-DL 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.

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 ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance
  • A successful revision
  • Covering systematic de-anonymization
  • The extra content page

Example prompts

  • “/ase-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

Ase Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 387 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). 387 words, ~1,175 tokens.

Download SKILL.mdSave it as .claude/skills/ase-camera-ready/SKILL.md (or your agent's skills folder).
name
ase-camera-ready
description
Use when preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance or a successful revision, covering systematic de-anonymization, the extra content page, the mandatory Data Availability finalization, the correct IEEE/ACM template and metadata, permanentized artifact links, and dual IEEE-Xplore/ACM-DL production checks.

ASE Camera-Ready

Deliver the final version after an Accept or a met Revision. ASE camera-ready has three jobs that trip authors up: de-anonymize systematically, spend the extra content page well, and pass dual production checks — because the paper is indexed in both IEEE Xplore and the ACM Digital Library, the metadata and template must satisfy the sponsoring publisher's pipeline. Every requirement below is a one-cycle snapshot; reopen the current camera-ready instructions first.

Systematic de-anonymization

Reverse every anonymization introduced for double-anonymous review — and only those:

text
[Authors]      real names, affiliations, ORCID, and corresponding-author info restored.
[Tool]         real tool name restored consistently throughout (it was anonymized at submission).
[Repository]   Data Availability link points to the real, permanent archive (not the anon service).
[Self-cites]   third-person self-citations relaxed to normal form where appropriate.
[Acks]         funding, grants, and collaborators added (absent from the anonymized submission).
[Metadata]     PDF author/producer fields set correctly; no residual "Anonymous".

Do a final pdfinfo / pdftotext pass to confirm no leftover "Anonymous" and no new leak (a funding line that should not be there, a wrong affiliation).

Spend the extra content page

Accepted ASE papers are typically allowed one additional content page for revisions. Use it to incorporate review feedback — the new baseline, the requested ablation, the clarified construct, the strengthened threats — not to pad. If you received a Revision, the extra page is where the criteria you met become visible in the final paper.

Finalize the Data Availability Statement

  • The statement moves from an anonymized link to the permanent, DOI-archived location.
  • Confirm the archive is public and the DOI resolves; deposit in Zenodo / figshare / Software Heritage before submitting camera-ready if you have not already.
  • Keep it after the Conclusions and within the (now +1) page budget.
Show full SKILL.md (167 more words)Show less

Template and metadata (IEEE/ACM dual)

  • Use the mandated camera-ready template — for ASE 2026 the ACM acmart (switch out the review/anonymous options for the final class options the instructions specify). Because ASE is dual IEEE/ACM sponsored, the required template and the rights/metadata step can differ per edition; confirm which publisher's pipeline this edition uses and follow that kit.
  • Complete the rights/copyright step (the e-rights form) and paste the correct rights block into the paper.
  • Fill indexing metadata (title, authors, abstract, CCS concepts / keywords) accurately — this feeds both IEEE Xplore and the ACM DL records; mismatches cause production delays.
  • Embed all fonts; check figures render and that the PDF passes the publisher's automated checker (e.g., an IEEE PDF eXpress-style or ACM validation step, per the edition's instructions).

If your paper earned an artifact badge

  • Ensure the badge is reflected per the instructions so it appears on the front page in both proceedings surfaces (see ase-artifact-evaluation).
  • The badged artifact's DOI should match the Data Availability Statement.

Camera-ready checklist

text
[De-anon]     authors/affiliations/tool/repo/acks restored; no leftover "Anonymous"; no new leak
[Extra page]  review feedback incorporated (not padding); met revision criteria visible
[Data Avail]  permanent DOI archive, resolves, after Conclusions, within budget
[Template]    correct edition template/class options; rights block pasted
[Metadata]    title/authors/abstract/keywords/CCS accurate for IEEE Xplore + ACM DL
[Production]  fonts embedded; figures render; passes the publisher's PDF checker
[Badge]       artifact badge reflected if earned; DOI matches Data Availability

Output format

text
[Camera-ready status] ready / blocked
[De-anonymization] complete? residual "Anonymous" or new leak?
[Extra page] feedback incorporated / revision criteria visible?
[Data Availability] permanent DOI resolves, within budget?
[Template + rights] correct template, rights block, accurate metadata for both proceedings?
[Fix queue] <ordered, 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 ASE-Skills/skills/ase-camera-ready of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Ase 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.

Ase Camera Ready compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ase Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.2kAutomated safety check: PassMIT
Autom AutomationComposioHQ/awesome-claude-skills77k3 repos~723Automated safety check: PassNone
Doppler Marketing Automation AutomationComposioHQ/awesome-claude-skills77k3 repos~809Automated safety check: PassNone
Suggest Automationsn8n-io/n8n207k—~2kAutomated safety check: PassCustom licence
Aero Workflow AutomationComposioHQ/awesome-claude-skills77k3 repos~753Automated safety check: PassNone
Anchor Browser AutomationComposioHQ/awesome-claude-skills77k3 repos~757Automated safety check: PassNone

Similar skills

  • Autom Automation

    ComposioHQ/awesome-claude-skills

    Automate Autom tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.

    77k GitHub starsUsed in 3 repos~723 tokens
    Productivity & AutomationAuto-check passed
  • Doppler Marketing Automation Automation

    ComposioHQ/awesome-claude-skills

    Automate Doppler Marketing Automation tasks via Rube MCP (Composio).

    77k GitHub starsUsed in 3 repos~809 tokens
    Productivity & AutomationAuto-check passed
  • Official

    Offer the three most common automations for a user as a single-choice card, from your own knowledge of their team and their apps, then build the one they choose once they confirm, or offer more.

    207k GitHub stars~2k tokensUpdated today
    Productivity & AutomationAuto-check passed
  • Aero Workflow Automation

    ComposioHQ/awesome-claude-skills

    Automate Aero Workflow tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.

    77k GitHub starsUsed in 3 repos~753 tokens
    Productivity & AutomationAuto-check passed
  • Anchor Browser Automation

    ComposioHQ/awesome-claude-skills

    Automate Anchor Browser tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.

    77k GitHub starsUsed in 3 repos~757 tokens
    Productivity & AutomationAuto-check passed
  • Automate This

    github/awesome-copilot

    Official

    Analyze a screen recording of a manual process and produce targeted, working automation scripts.

    40k GitHub starsUsed in 1 repo~3.1k tokens
    Media & CreativeAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 12 days ago
    Auto-check passed

Questions about Ase Camera Ready

What does Ase Camera Ready do?

A skill your agent uses when preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance or a successful revision, covering systematic de-anonymization, the extra…. Ase Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance or a successful revision, covering systematic de-anonymization, the extra content page, the mandatory Data Availability finalization, the correct IEEE/ACM template and metadata, permanentized artifact links, and dual IEEE-Xplore/ACM-DL production checks.

When should I use Ase Camera Ready?

Ase Camera Ready fits situations like: preparing the ASE (IEEE/ACM Automated Software Engineering) camera-ready after acceptance; A successful revision; covering systematic de-anonymization; the extra content page.

How do I install Ase Camera Ready in Claude Code?

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

How do I install Ase Camera Ready in Codex?

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

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

What does Ase Camera Ready need to run?

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

Does Ase 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 Ase 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 Ase Camera Ready use?

Ase 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 Ase 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 Ase Camera Ready?

Skills that share tags, products or a category with Ase Camera Ready: Autom Automation (ComposioHQ/awesome-claude-skills, 77k stars), Doppler Marketing Automation Automation (ComposioHQ/awesome-claude-skills, 77k stars), Suggest Automations (n8n-io/n8n, 207k stars) and Aero Workflow Automation (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ase 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.