A skill your agent uses when preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring…

MITAuto-check passed

Install Dac Camera Ready

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills dac-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/DAC-Skills/skills/dac-camera-ready .claude/skills/dac-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
dac-camera-ready
GitHub stars
1.2k
Token cost
~1.1k tokens
SKILL.md length
440 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 final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring…

  • Preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance
  • SKILL.md covers De-anonymize systematically, ACM copyright and rights stamp, The page budget still binds and ACM DL metadata and archival…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Covering de-anonymization

What it does

Dac Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring author/affiliation/acknowledgement/funding blocks, the ACM copyright form and rights stamp, the April proceedings deadline, ACM Digital Library metadata and archival-flow checks, and the still-fixed 6+1 page budget.

Its SKILL.md is about 1.1k 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 final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance
  • Covering de-anonymization
  • Restoring author/affiliation/acknowledgement/funding blocks
  • The ACM copyright form and rights stamp

Example prompts

  • “/dac-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

Dac Camera Ready loads about 1.1k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 440 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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). 440 words, ~1,111 tokens.

Download SKILL.mdSave it as .claude/skills/dac-camera-ready/SKILL.md (or your agent's skills folder).
name
dac-camera-ready
description
Use when preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring author/affiliation/acknowledgement/funding blocks, the ACM copyright form and rights stamp, the April proceedings deadline, ACM Digital Library metadata and archival-flow checks, and the still-fixed 6+1 page budget.

DAC Camera-Ready

Use this after an accept decision to produce the archival version. The DAC camera-ready is an ACM Digital Library deliverable: ACM is the 2026 copyright holder, and the final manuscript plus copyright form are due at the April proceedings deadline (DAC 2026: ~14 April 2026, after the ~9 March notification). The camera-ready is a controlled edit of the accepted paper, not a rewrite — scope, claims, and QoR numbers are fixed by what was reviewed.

De-anonymize systematically

The review version was double-blind; the camera-ready restores identity. Do it as a checklist so nothing is missed and nothing new leaks in:

  • Author block — full author list, affiliations, and contact, in the order and form you want cited for years.
  • Self-citations — convert third-person references to your own prior work back to first person where natural ("in our earlier work [7]"), now that identity is public.
  • Acknowledgements and funding — restore the acknowledgements and grant numbers you stripped for review; funders often require exact wording.
  • Tool/repository names — restore the real tool name and any public artifact/OpenROAD-flow link you anonymized.
  • Complete the ACM copyright/e-rights form when it arrives; it returns the rights text and DOI stamp that must appear on the first page.
  • Insert the rights block exactly as ACM specifies using the current ACM template; a missing or wrong rights stamp is a common production bounce.
  • Confirm the conference/proceedings string and volume ACM assigns for the 63rd DAC so the citation and DOI resolve correctly on ACM DL.
Show full SKILL.md (190 more words)Show less

The page budget still binds

  • The final version keeps the 6-page body + 1 references-only page budget; de-anonymization adds the author block and acknowledgements, which can push the body over — reclaim space editorially, do not shrink fonts or alter the template.
  • The seventh page remains references only; acknowledgements belong in the body, not on the reference page.
  • Re-check every figure is legible at final column width after any reflow.

ACM DL metadata and archival flow

  • Title and author metadata must match the PDF exactly — mismatches break indexing and citation.
  • Supply ACM CCS concepts and keywords if the template/portal requests them; they drive discoverability in the ACM DL.
  • Verify references resolve (DOIs where available) — the archival version is what the field will cite.
  • If your paper is a Best-Paper candidate or in a special session, confirm any additional presentation or final-version requirements the track adds.

Production checklist

text
[De-anon]     authors/affiliations/acks/funding restored; tool + artifact links de-anonymized
[Rights]      ACM copyright form submitted; rights text + DOI stamp on page 1
[Template]    current ACM double-column; 6+1 budget still met after reflow
[Figures]     legible at final size; grayscale/color-blind safe
[Metadata]    title/authors match PDF; CCS + keywords supplied; references resolve
[Fonts]       all fonts embedded; PDF passes the portal's readability check
[Deadline]    final manuscript + copyright by the April proceedings cutoff

Reverify each cycle

  • The exact proceedings/copyright deadline and which ACM template revision is required.
  • Whether DAC 2026 also deposits to IEEE Xplore (待核实) in addition to ACM DL, which can add a second rights/metadata step.
  • Any AI-authorship/disclosure statement required on the final version.

Output format

text
[Camera-ready status] ready / blocked
[De-anonymization]    authors/acks/funding/tool links restored? yes/no
[Rights]              ACM copyright form + first-page stamp done? yes/no
[Budget]              6-page body + references-only page still met? yes/no
[Metadata]            ACM DL title/authors/CCS/keywords/DOIs correct? yes/no
[Fix queue]           <ordered items before the April proceedings 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 DAC-Skills/skills/dac-camera-ready of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Dac 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.

Dac Camera Ready compared with similar skills
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Dac Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.1kAutomated safety check: PassMIT
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Acm Ieee International Conference On Human Robot Interactionfranklee16/academic-research-skills2231 repos~2kAutomated safety check: PassNone
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

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Questions about Dac Camera Ready

What does Dac Camera Ready do?

A skill your agent uses when preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring…. Dac Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance, covering de-anonymization, restoring author/affiliation/acknowledgement/funding blocks, the ACM copyright form and rights stamp, the April proceedings deadline, ACM Digital Library metadata and archival-flow checks, and the still-fixed 6+1 page budget.

When should I use Dac Camera Ready?

Dac Camera Ready fits situations like: preparing the final ACM/IEEE Design Automation Conference (DAC) Research-Manuscript camera-ready after acceptance; covering de-anonymization; restoring author/affiliation/acknowledgement/funding blocks; the ACM copyright form and rights stamp.

How do I install Dac Camera Ready in Claude Code?

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

How do I install Dac Camera Ready in Codex?

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

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

What does Dac Camera Ready need to run?

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

Does Dac 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 Dac 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 Dac Camera Ready use?

Dac 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 Dac Camera Ready use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 Dac Camera Ready?

Skills that share tags, products or a category with Dac Camera Ready: Acm Ieee Joint Conference On Digital Libraries (franklee16/academic-research-skills, 223 stars), Acm Ieee International Conference On Human Robot Interaction (franklee16/academic-research-skills, 223 stars), Audit Preparation (sickn33/agentic-awesome-skills, 47k stars) and Release Preparation (CherryHQ/cherry-studio, 52k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dac 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.