Paper Deck
zsyggg/paper-craft-skills
将论文、技术文章或知识内容制作成高真实感的 AIGC 幻灯片。先做叙事结构和逐页视觉导演，再调用生图模型生成每一页 16:9 slide image，最后合成为 PPTX/PDF。适合论文汇报、组会、公开课、技术分享、商业化研究展示；当用户提到“论文PPT”“AI生成PPT”“不像AI的PPT”“高质感幻灯片”“逐页生图PPT”时使用。
A skill your agent uses when preparing an accepted ICLR paper for camera-ready submission, OpenReview metadata, poster instructions, slide deck, project page, video, and publication logistics.
Install Iclr Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iclr-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iclr-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/ICLR-Skills/skills/iclr-camera-ready .claude/skills/iclr-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 "iclr-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICLR-Skills/skills/iclr-camera-ready into .claude/skills/iclr-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iclr-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/ICLR-Skills/skills/iclr-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 iclr-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iclr-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/ICLR-Skills/skills/iclr-camera-ready .agents/skills/iclr-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 "iclr-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICLR-Skills/skills/iclr-camera-ready into .agents/skills/iclr-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iclr-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 iclr-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iclr-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/ICLR-Skills/skills/iclr-camera-ready .cursor/skills/iclr-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 "iclr-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICLR-Skills/skills/iclr-camera-ready into .cursor/skills/iclr-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iclr-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 ICLR-Skills/skills/iclr-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 iclr-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iclr-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/ICLR-Skills/skills/iclr-camera-ready .gemini/skills/iclr-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 "iclr-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICLR-Skills/skills/iclr-camera-ready into .gemini/skills/iclr-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iclr-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 iclr-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 iclr-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/ICLR-Skills/skills/iclr-camera-ready .github/skills/iclr-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 "iclr-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICLR-Skills/skills/iclr-camera-ready into .github/skills/iclr-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iclr-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 iclr-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 iclr-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/ICLR-Skills/skills/iclr-camera-ready .opencode/skills/iclr-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 "iclr-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICLR-Skills/skills/iclr-camera-ready into .opencode/skills/iclr-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iclr-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
iclr-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1k tokens
- SKILL.md length
- 448 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing an accepted ICLR paper for camera-ready submission, OpenReview metadata, poster instructions, slide deck, project page, video, and publication logistics.
- Preparing an accepted ICLR paper for camera-ready submission
- SKILL.md covers Camera-ready checklist, Publication polish, Promise-tracking from the… and Worked vignette, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- OpenReview metadata
What it does
Iclr Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ICLR paper for camera-ready submission, OpenReview metadata, poster instructions, slide deck, project page, video, and publication logistics. Use when de-anonymizing the final PDF, folding in promised discussion-period fixes, confirming the camera-ready page allowance for the current cycle, or assembling poster and presentation assets for ICLR's poster-heavy program.
Its SKILL.md is about 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 Documents & Office, covering Slides and decks 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
- Preparing an accepted ICLR paper for camera-ready submission
- OpenReview metadata
- Poster instructions
- Publication logistics
Example prompts
- “/iclr-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
Iclr Camera Ready loads about 1k tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 448 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). 448 words, ~1,001 tokens.
Download SKILL.mdSave it as
.claude/skills/iclr-camera-ready/SKILL.md (or your agent's skills folder).- name
- iclr-camera-ready
- description
- Use when preparing an accepted ICLR paper for camera-ready submission, OpenReview metadata, poster instructions, slide deck, project page, video, and publication logistics. Use when de-anonymizing the final PDF, folding in promised discussion-period fixes, confirming the camera-ready page allowance for the current cycle, or assembling poster and presentation assets for ICLR's poster-heavy program.
ICLR Camera Ready
Use this after an ICLR acceptance. Reopen the accepted-paper emails, current Author Guide, OpenReview camera-ready form, poster instructions, and registration instructions; accepted-paper logistics are volatile and can differ from submission rules.
Camera-ready checklist
- Apply the accepted-paper template and current camera-ready page limit. ICLR 2027 raises the main-text allowance from 9 to 10 pages for the discussion phase and camera-ready, so the extra page is there to answer reviewers, not to restore what was cut at submission.
- Remove anonymity where required, add acknowledgments, and verify author names/order against OpenReview and the conference website source of truth.
- Preserve scientific claims from the reviewed paper. Do not turn a borderline acceptance into a substantially different paper.
- Resolve promised clarifications from author discussion, especially limitations, failed settings, baseline descriptions, and reproducibility notes.
- Complete OpenReview metadata, abstract, TL;DR, subject areas, conflicts, PDF, and supplementary uploads exactly as requested by the current form.
- Prepare poster metadata, poster upload, slide deck, optional project page, and video recording according to current poster instructions.
Publication polish
- Make code/data links stable and public only when they no longer compromise anonymity.
- Check accessibility: readable figures, alt text where requested, colorblind-safe plots, captions, and poster legibility.
- Archive the reviewed submission, author discussion, final PDF, supplement, code release, and poster assets for later citation or journal extension work.
Promise-tracking from the public thread
Because the review thread stays online next to the published paper, any reader can check whether you delivered what you committed to during discussion. Build the camera-ready from that thread.
| Discussion-period promise | Camera-ready action | Reader check |
|---|---|---|
| "Add the compute-matched control" | Insert and reference the table | Compare thread to final PDF |
| "Clarify the failed setting" | Add a limitations paragraph naming it | Search the PDF for the setting |
| "Code will be released" | Swap anonymous link for a public repo | Click the link |
| "Fix baseline X description" | Correct it and cite the source | Read the paragraph |
Show full SKILL.md (132 more words)Show less
Worked vignette
A diffusion-model paper is accepted as a poster. During discussion the authors promised to release sampling code and to soften an overclaim about out-of-distribution generalization. For camera-ready they de-anonymize, swap the anonymous repo for a public one with a frozen release tag, scope the OOD claim to the tested shift types, and add a TL;DR. They keep the scientific claims identical to the reviewed version so the meta-review still matches, and reuse the strongest ablation figure on the poster with colorblind-safe colors.
Reviewer-pushback patterns to close out
- "Accepted claim is broader than the evidence." Narrow the wording to the reviewed scope; do not let acceptance license a stronger headline than the reviewers saw.
- "Figures are unreadable on the poster." Re-export at poster scale and enlarge labels before upload.
Output format
[Camera-ready state] Ready / Needs fixes / Blocked
[OpenReview items] <PDF, metadata, supplement, conflicts, author order>
[ICLR.cc items] <poster, slides, video, project page>
[Scientific-change risk] low / medium / high
[Final fixes] <ordered list before upload>© 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 ICLR-Skills/skills/iclr-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Iclr 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 |
|---|---|---|---|---|---|---|
| Iclr Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1k | Automated safety check: Pass | MIT | |
| Paper Deckzsyggg/paper-craft-skills | 1.3k | — | ~1.4k | Automated safety check: Pass | None | |
| Paper2slidesQuZhan51496/paper2anything | 469 | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | |
| Li CarouselJakeschincariol/linkedin-agent-skill | 1.6k | — | ~715 | Automated safety check: Pass | MIT | |
| Ky Markdown RebuilderKyrieCheungYep/ky-markdown-rebuilder | 117 | — | ~5.7k | Automated safety check: Pass | None | |
| PDF ReadingWide-Moat/open-computer-use | 126 | 1 repos | ~2.7k | Automated safety check: Pass | Proprietary |
Similar skills
Paper2slides
QuZhan51496/paper2anything
Turn an academic paper PDF into a presentation deck (.pptx) end-to-end.
Li Carousel
Jakeschincariol/linkedin-agent-skill
Build a LinkedIn document post (carousel) - slide-by-slide copy, the cover that earns the swipe, and the PDF to upload.
Ky Markdown Rebuilder
KyrieCheungYep/ky-markdown-rebuilder
Rebuild visual documents into reliable Markdown by combining text extraction with page or screenshot alignment.
PDF Reading
Wide-Moat/open-computer-use
A skill your agent uses when you need to read, inspect, or extract content from PDF files — especially when file content is NOT in your context and you need to read it from disk.
Sci HTML
ShZhao27208/Aut_Sci_Write
Generate academic presentation-style HTML slide decks and browser reports from PDFs, structured text, Markdown, paper summaries, outlines, or research notes.
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 Iclr Camera Ready
What does Iclr Camera Ready do?
A skill your agent uses when preparing an accepted ICLR paper for camera-ready submission, OpenReview metadata, poster instructions, slide deck, project page, video, and publication logistics. Iclr Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ICLR paper for camera-ready submission, OpenReview metadata, poster instructions, slide deck, project page, video, and publication logistics.
When should I use Iclr Camera Ready?
Iclr Camera Ready fits situations like: preparing an accepted ICLR paper for camera-ready submission; openReview metadata; poster instructions; publication logistics.
How do I install Iclr Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iclr-camera-ready -a claude-code`. Or copy the skill folder (ICLR-Skills/skills/iclr-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/iclr-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Iclr Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iclr-camera-ready -a codex`. Or copy the skill folder (ICLR-Skills/skills/iclr-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/iclr-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Iclr 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 iclr-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/iclr-camera-ready, .gemini/skills/iclr-camera-ready, .github/skills/iclr-camera-ready and .opencode/skills/iclr-camera-ready in your project.
What does Iclr Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Iclr Camera Ready is instructions for the agent only.
Does Iclr 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 Iclr 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 Iclr Camera Ready use?
Iclr 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 Iclr Camera Ready use?
About 1k tokens (SKILL.md is roughly 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 Iclr Camera Ready?
Skills that share tags, products or a category with Iclr Camera Ready: Paper Deck (zsyggg/paper-craft-skills, 1.3k stars), Paper2slides (QuZhan51496/paper2anything, 469 stars), Li Carousel (Jakeschincariol/linkedin-agent-skill, 1.6k stars) and Ky Markdown Rebuilder (KyrieCheungYep/ky-markdown-rebuilder, 117 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Iclr 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.