AI Review Skill
NeuroDong/Ai-Review
Generates structured AI paper reviews (SoT style) for LaTeX, PDF, and Word manuscripts.
A skill your agent uses when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template…
Install Corl Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-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/CoRL-Skills/skills/corl-camera-ready .claude/skills/corl-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 "corl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-camera-ready into .claude/skills/corl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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/CoRL-Skills/skills/corl-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 corl-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-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/CoRL-Skills/skills/corl-camera-ready .agents/skills/corl-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 "corl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-camera-ready into .agents/skills/corl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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 corl-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-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/CoRL-Skills/skills/corl-camera-ready .cursor/skills/corl-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 "corl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-camera-ready into .cursor/skills/corl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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 CoRL-Skills/skills/corl-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 corl-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills corl-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/CoRL-Skills/skills/corl-camera-ready .gemini/skills/corl-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 "corl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-camera-ready into .gemini/skills/corl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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 corl-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 corl-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/CoRL-Skills/skills/corl-camera-ready .github/skills/corl-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 "corl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-camera-ready into .github/skills/corl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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 corl-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 corl-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/CoRL-Skills/skills/corl-camera-ready .opencode/skills/corl-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 "corl-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/CoRL-Skills/skills/corl-camera-ready into .opencode/skills/corl-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "corl-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
corl-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 657 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template…
- Works in 4 steps: Reread reviews, rebuttal, and any AC… → Land each commitment in the body and… → Typical allocations that pay off: the… → …
- Converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback
- SKILL.md covers What changes at camera-ready…, Spend the ninth page on the…, De-anonymization sweep and The external artifact surface…, plus 3 more sections
- Calls pdftotext
What it does
Corl Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template, appendix merged into one PDF, de-anonymization, external hosting for videos because PMLR accepts none, and the October deadline into the PMLR volume.
Its SKILL.md is about 1.5k 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 Documents & Office, covering LaTeX and PDF. 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
- Converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback
- The final-mode corl LaTeX template
- Appendix merged into one PDF
- De-anonymization
Example prompts
- “/corl-camera-ready”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Reread reviews, rebuttal, and any AC comment; list every commitment you made
- Land each commitment in the body and note where — future readers will be
- Typical allocations that pay off: the rebuttal's new results table graduated
- Resist scope creep: camera-ready is not a second submission. New claims that
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
Shell commands in SKILL.md call:
pdftotext
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
corl.org
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
Corl Camera Ready loads about 1.5k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 657 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). 657 words, ~1,543 tokens.
Download SKILL.mdSave it as
.claude/skills/corl-camera-ready/SKILL.md (or your agent's skills folder).- name
- corl-camera-ready
- description
- Use when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template, appendix merged into one PDF, de-anonymization, external hosting for videos because PMLR accepts none, and the October deadline into the PMLR volume.
CoRL Camera-Ready
Acceptance converts the paper from a review object into a permanent PMLR record — alongside, at CoRL, the public release of its reviews and rebuttal. The camera-ready pass is therefore three jobs: absorb what the review process demanded, de-anonymize cleanly, and stand up the external artifact surface that the proceedings pipeline cannot host. The 2026 rules below were read from corl.org author instructions on 2026-07-08; the deadline was October 12, 2026, 23:59 AoE.
What changes at camera-ready (2026 cycle)
| Dimension | Submission | Camera-ready |
|---|---|---|
| Main-text pages | 8 (Limitations included) | 9 — the added page exists to accommodate review feedback |
| Template mode | anonymous review mode | \usepackage[final]{corl_2026} |
| Identity | double-anonymous | authors, affiliations, acknowledgments restored |
| Appendix | same PDF, optional | included at the end of the camera-ready PDF, not a separate file |
| Video | supplementary upload (≤ 250 MB) | not accepted by PMLR — host externally, link from the main text / project page |
| Audience | reviewers + AC | permanent open-access record, reviews attached |
Spend the ninth page on the reviewers' record
The extra page is explicitly tied to review feedback, and your reviews will be published next to the paper — so the highest-value use is closing the loop visibly:
- Reread reviews, rebuttal, and any AC comment; list every commitment you made ("we will add the 5-seed table," "we will scope the claim to tasks A–B").
- Land each commitment in the body and note where — future readers will be able to diff your promises against the PDF.
- Typical allocations that pay off: the rebuttal's new results table graduated into §5; an expanded Limitations section; the evaluation-protocol detail reviewers had to ask for.
- Resist scope creep: camera-ready is not a second submission. New claims that were never reviewed do not belong in the archival version.
De-anonymization sweep
- Restore the author block, affiliations, funding acknowledgments, and any personnel thanks (acknowledgments remain outside the page count).
- Reverse the review-time distancing: "the authors of [12]" becomes "our prior work [12]" where that is the honest phrasing.
- Swap anonymized artifact mirrors for the permanent public URLs — and only
after those URLs exist and are populated (
corl-artifact-evaluation). - Scrub leftover review scaffolding: line numbers, draft watermarks, margin
notes,
\anonymize{}macros, and the anonymous-repo README inside your ZIPs.
Show full SKILL.md (296 more words)Show less
The external artifact surface (the PMLR no-video rule)
Because PMLR will not carry video — the field's core evidence medium — every accepted CoRL paper effectively ships a project page. Build it to archival standards before the PDF freezes:
- De-anonymized overview video (now free of the 250 MB review cap) plus the uncut per-task evaluation clips that back your tables.
- Code, checkpoints, and dataset links with the tier declarations from
corl-artifact-evaluation; DOI-stamped archives for anything citable. - Print durable URLs in the paper — a lab-server link that dies in three years takes your evidence with it; prefer organization-level or archival hosting.
# Final-PDF gate, run on the actual upload candidate
grep -c 'usepackage\[final\]{corl_2026}' main.tex # exactly 1
pdftotext final.pdf - | head -40 # author block present & correct
pdftotext final.pdf - | grep -nEi 'anonym|under review|paper #' # expect no hits
pdfinfo final.pdf | grep -i pages # 9pp body + refs + appendix merged
pdftotext final.pdf - | grep -oE 'https?://[^ ]+' | sort -u # every URL: live, permanent, deliberatePMLR metadata discipline
- The proceedings entry (title, author order, affiliations) is generated from what you submit to the camera-ready pipeline; a typo here propagates to citation indexes for good. Reconcile against every coauthor's preferred name form in writing before upload.
- Expect the PMLR publication year to postdate the conference for some volumes
(see
corl-related-workon the year-offset trap) — your own paper may be cited with either year; you cannot control it, but your project page can display the canonical BibTeX. - The CoRL 2026 volume number was not yet assigned at verification time (待核实); recent anchors are v270 (2024) and v305 (2025).
Registration, presentation, and the November venue
- CoRL 2026 runs November 9–12 at the JW Marriott in Austin, Texas (workshop day November 9). Registration and presentation obligations for accepted papers — who must register, in-person requirements, poster/talk formats — were not verified in this pack (待核实): read the acceptance email and the year-site's attendance pages as controlling.
- Plan the presentation assets against the public record: your poster and talk will be delivered to an audience that can read your reviews.
Exit checklist
[ ] All rebuttal commitments landed and locatable in the PDF
[ ] 9-page body; Limitations expanded, not amputated
[ ] [final] template mode; identity restored; scaffolding scrubbed
[ ] Appendix merged at end of the single PDF
[ ] Project page live: video, code, data, canonical BibTeX
[ ] Every printed URL durable and populated
[ ] Coauthor sign-off on names/affiliations/order, in writing
[ ] Uploaded before Oct 12 23:59 AoE (2026); confirmation archived
[ ] Registration/attendance obligations confirmed from the acceptance
email [待核实 in this pack]Camera-ready mechanics are re-issued with each cycle's acceptance emails and at https://www.corl.org/contributions/instruction-for-authors — that text, not this snapshot, controls.
© 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 CoRL-Skills/skills/corl-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Corl 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 |
|---|---|---|---|---|---|---|
| Corl Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| AI Review SkillNeuroDong/Ai-Review | 626 | — | ~2.5k | Automated safety check: Pass | MIT | |
| MineruNebutra/MinerU-Skill | 122 | — | ~504 | Automated safety check: Pass | MIT | |
| Lecture To Mdysyecust/lecture-to-notes | 273 | — | ~3.9k | Automated safety check: Pass | Custom licence | |
| Paper CompileAI4Scientist/nano-scientist | 128 | 5 repos | ~2.5k | Automated safety check: Notes | None | |
| Pdf2texCalix-L/awesome-latex-skills | 181 | — | ~1.4k | Automated safety check: Pass | MIT |
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Categories
Questions about Corl Camera Ready
What does Corl Camera Ready do?
A skill your agent uses when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template…. Corl Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback, the final-mode corl LaTeX template, appendix merged into one PDF, de-anonymization, external hosting for videos because PMLR accepts none, and the October deadline into the PMLR volume.
When should I use Corl Camera Ready?
Corl Camera Ready fits situations like: converting an accepted CoRL paper into its final form — the 9-page camera-ready main text with the extra page for review feedback; the final-mode corl LaTeX template; appendix merged into one PDF; de-anonymization.
How do I install Corl Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-camera-ready -a claude-code`. Or copy the skill folder (CoRL-Skills/skills/corl-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/corl-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Corl Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill corl-camera-ready -a codex`. Or copy the skill folder (CoRL-Skills/skills/corl-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/corl-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Corl 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 corl-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/corl-camera-ready, .gemini/skills/corl-camera-ready, .github/skills/corl-camera-ready and .opencode/skills/corl-camera-ready in your project.
What does Corl Camera Ready need to run?
Going by SKILL.md and its folder, Corl Camera Ready needs the command-line tools its instructions call (pdftotext).
Does Corl Camera Ready access the network?
SKILL.md names 1 domain. As links in the text: corl.org. This is read from the text; nothing was executed.
Is Corl 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 Corl Camera Ready use?
Corl 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 Corl Camera Ready use?
About 1.5k tokens (SKILL.md is roughly 6.2k 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 Corl Camera Ready?
Skills that share tags, products or a category with Corl Camera Ready: AI Review Skill (NeuroDong/Ai-Review, 626 stars), Mineru (Nebutra/MinerU-Skill, 122 stars), Lecture To Md (ysyecust/lecture-to-notes, 273 stars) and Paper Compile (AI4Scientist/nano-scientist, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Corl 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.