Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
A skill your agent uses when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf…
Install Acmmm Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-camera-ready --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-camera-ready .claude/skills/acmmm-camera-ready && rm -rf skills-srcUse ~/.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/
Install the "acmmm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-camera-ready into .claude/skills/acmmm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-camera-ready", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-camera-readyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-camera-ready --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-camera-ready .agents/skills/acmmm-camera-ready && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "acmmm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-camera-ready into .agents/skills/acmmm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-camera-ready", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-camera-ready --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-camera-ready .cursor/skills/acmmm-camera-ready && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "acmmm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-camera-ready into .cursor/skills/acmmm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-camera-ready", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path ACM-MM-Skills/skills/acmmm-camera-ready--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-camera-ready --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-camera-ready .gemini/skills/acmmm-camera-ready && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "acmmm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-camera-ready into .gemini/skills/acmmm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-camera-ready", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-camera-readyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-camera-ready .github/skills/acmmm-camera-ready && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "acmmm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-camera-ready into .github/skills/acmmm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-camera-ready", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills acmmm-camera-ready --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ACM-MM-Skills/skills/acmmm-camera-ready .opencode/skills/acmmm-camera-ready && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "acmmm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ACM-MM-Skills/skills/acmmm-camera-ready into .opencode/skills/acmmm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "acmmm-camera-ready", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
acmmm-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 446 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 ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf…
- Preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely
- SKILL.md covers De-anonymization pass, ACM publishing requirements, Artifact and badge release and Registration and attendance, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Completing the ACM rights form and CCS concepts
What it does
Acmmm Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poster presentation in Rio.
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.
It sits in Research & Science, covering Reproducible research. 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 ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely
- Completing the ACM rights form and CCS concepts
- Meeting ACM sigconf requirements
- Releasing code/data/media artifacts and any earned reproducibility badge
Example prompts
- “/acmmm-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
Acmmm Camera Ready loads about 1.1k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 446 words of instructions outside code blocks.
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). 446 words, ~1,142 tokens.
Download SKILL.mdSave it as
.claude/skills/acmmm-camera-ready/SKILL.md (or your agent's skills folder).- name
- acmmm-camera-ready
- description
- Use when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poster presentation in Rio.
ACM MM Camera-Ready
Use this after acceptance to turn the reviewed PDF into the ACM Digital Library version of record. Camera-ready is a distinct piece of work with its own deadline (reported August 6 for 2026) and its own failure modes — several of them ACM-specific.
De-anonymization pass
The reviewed paper was anonymous (main track); the camera-ready is not. Reverse the blinding carefully:
- Add author names, affiliations, and acknowledgements/funding.
- Restore "our previous work" phrasing and the real repository/dataset URLs.
- Replace the anonymous data/code mirror with the permanent, public archive (DOI).
- Re-check that no anonymous-only placeholder text survives.
ACM publishing requirements
| Item | What to do |
|---|---|
| ACM rights form | Complete the eRights process; paste the returned rights block and DOI into the paper |
| CCS concepts | Add ACM Computing Classification System concepts and author keywords |
| sigconf compliance | Final PDF in the current ACM sigconf template; pass ACM's PDF/format check |
| Reference/overflow | References may occupy the extra pages; the body stays within the accepted length |
| Metadata | Title, authors, affiliations, and abstract match the ACM submission exactly |
The exact ACM rights/OA options (including ACM Open) are settled here; confirm the current process (待核实 each cycle).
Artifact and badge release
code: public repo + archived DOI, LICENSE, README with run instructions
data: dataset card, license, access path (mirror or agreement)
media: final demo video/audio, now de-anonymized, playable in open players
badge: if the Reproducibility track awarded a badge, include the badge and artifact linkCamera-ready is when the public release replaces the anonymous review artifact — do not leave the community pointing at a dead anonymous link.
Registration and attendance
- At least one author must register by the deadline and present; confirm the current registration category and any presenter requirement.
- Check visa/travel needs for Rio de Janeiro early — international travel is the common logistical failure.
Show full SKILL.md (194 more words)Show less
Presentation prep by tier
- Oral: a talk that leads with the cross-modal contribution and plays the media — the audience should see/hear the seam your paper exploits.
- Poster: a single readable visual with the teaser, the mechanism, and one decisive media example; bring a device to play a short clip.
- Prepare captioned media that works offline; conference A/V and network are unreliable.
The ACM eRights step, in order
1. Receive the ACM eRights email after acceptance; complete the rights/permissions form.
2. ACM returns the rights block + DOI + the correct conference string.
3. Paste that block verbatim into the sigconf template (do not hand-edit it).
4. Add CCS concepts and keywords; run ACM's PDF format/preflight check.
5. Upload the final PDF and source where required, matching the registered metadata.Skipping or mistyping the rights block is a frequent camera-ready bounce; treat the returned text as fixed data, not prose to reword.
Media for the ACM Digital Library
- Supplementary video/audio can accompany the DL record; provide the de-anonymized final versions in the accepted formats, captioned and playable in open players.
- Ensure the public artifact link in the paper resolves to the permanent archive, not the old anonymous review mirror.
- If a badge was awarded, include the ACM badge and the artifact DOI so the DL entry carries it.
Final camera-ready checklist
- De-anonymized fully; rights block and DOI in place; CCS concepts added.
- sigconf format check passed; metadata matches ACM record.
- Public artifact archived and linked; any badge included.
- Registration done; presentation media prepared and offline-safe.
Output format
[De-anonymization] complete / residual anonymous text: <list>
[ACM publishing] rights + CCS + sigconf done / gaps: <list>
[Artifact release] public + archived / gaps
[Registration] done / pending
[Presentation] oral/poster plan ready / to do
[Blocking items] <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 ACM-MM-Skills/skills/acmmm-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Acmmm 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Acmmm Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Figure Styleaipoch/open-science | 5.5k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 | |
| Add Bactopia Toolbactopia/bactopia | 522 | — | ~4.1k | Automated safety check: Pass | MIT |
Similar skills
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Figure Style
aipoch/open-science
Publication-grade correctness and legibility rules for final-deliverable scientific figures, not exploratory plots.
Add Bactopia Tool
bactopia/bactopia
Scaffold a complete Bactopia Tool across all three tiers -- module, subworkflow, and workflow entry point under workflows/bactopia-tools/.
Modeling Code and Result Contracts
yushui2022/MathModel-Skill
Generates result-evidence contracts, tables and runnable q1 to q3 modeling code scaffolds for a math modeling paper from a model route, a data plan and cleaned data.
More from brycewang-stanford/Awesome-Journal-Skills
All 2,387 skills in this repoAaag 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…
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…
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…
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…
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…
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…
Related
Categories
Questions about Acmmm Camera Ready
What does Acmmm Camera Ready do?
A skill your agent uses when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf…. Acmmm Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely, completing the ACM rights form and CCS concepts, meeting ACM sigconf requirements, releasing code/data/media artifacts and any earned reproducibility badge, registering, and planning the oral/poster presentation in Rio.
When should I use Acmmm Camera Ready?
Acmmm Camera Ready fits situations like: preparing the ACM MM (ACM Multimedia) camera-ready version of record — de-anonymizing safely; completing the ACM rights form and CCS concepts; meeting ACM sigconf requirements; releasing code/data/media artifacts and any earned reproducibility badge.
How do I install Acmmm Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready -a claude-code`. Or copy the skill folder (ACM-MM-Skills/skills/acmmm-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/acmmm-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Acmmm Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill acmmm-camera-ready -a codex`. Or copy the skill folder (ACM-MM-Skills/skills/acmmm-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/acmmm-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Acmmm 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 acmmm-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/acmmm-camera-ready, .gemini/skills/acmmm-camera-ready, .github/skills/acmmm-camera-ready and .opencode/skills/acmmm-camera-ready in your project.
What does Acmmm Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Acmmm Camera Ready is instructions for the agent only.
Does Acmmm 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 Acmmm 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 Acmmm Camera Ready use?
Acmmm 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 Acmmm Camera Ready use?
About 1.1k 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 Acmmm Camera Ready?
Skills that share tags, products or a category with Acmmm Camera Ready: Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars), Compute Environment Setup (aipoch/open-science, 5.5k stars) and Figure Style (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Acmmm 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.