Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
A skill your agent uses when preparing a WACV camera-ready after acceptance, covering de-anonymization, IEEE Xplore plus CVF open-access dual publication, IEEE copyright and PDF checks, the dataset…
Install Wacv Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wacv-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wacv-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/WACV-Skills/skills/wacv-camera-ready .claude/skills/wacv-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 "wacv-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WACV-Skills/skills/wacv-camera-ready into .claude/skills/wacv-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wacv-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/WACV-Skills/skills/wacv-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 wacv-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wacv-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/WACV-Skills/skills/wacv-camera-ready .agents/skills/wacv-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 "wacv-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WACV-Skills/skills/wacv-camera-ready into .agents/skills/wacv-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wacv-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 wacv-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wacv-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/WACV-Skills/skills/wacv-camera-ready .cursor/skills/wacv-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 "wacv-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WACV-Skills/skills/wacv-camera-ready into .cursor/skills/wacv-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wacv-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 WACV-Skills/skills/wacv-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 wacv-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wacv-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/WACV-Skills/skills/wacv-camera-ready .gemini/skills/wacv-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 "wacv-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WACV-Skills/skills/wacv-camera-ready into .gemini/skills/wacv-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wacv-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 wacv-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 wacv-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/WACV-Skills/skills/wacv-camera-ready .github/skills/wacv-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 "wacv-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WACV-Skills/skills/wacv-camera-ready into .github/skills/wacv-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wacv-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 wacv-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 wacv-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/WACV-Skills/skills/wacv-camera-ready .opencode/skills/wacv-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 "wacv-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WACV-Skills/skills/wacv-camera-ready into .opencode/skills/wacv-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wacv-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
wacv-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~976 tokens
- SKILL.md length
- 393 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when preparing a WACV camera-ready after acceptance, covering de-anonymization, IEEE Xplore plus CVF open-access dual publication, IEEE copyright and PDF checks, the dataset…
- Preparing a WACV camera-ready after acceptance
- SKILL.md covers From reviewed PDF to version…, De-anonymize carefully, Dual publication: CVF open… and Honor the release obligation, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering de-anonymization
What it does
Wacv Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing a WACV camera-ready after acceptance, covering de-anonymization, IEEE Xplore plus CVF open-access dual publication, IEEE copyright and PDF checks, the dataset and code release obligation, per-paper registration, and preparing the winter-conference talk or poster once a paper clears Round 1 or Round 2.
Its SKILL.md is about 980 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 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 a WACV camera-ready after acceptance
- Covering de-anonymization
- IEEE Xplore plus CVF open-access dual publication
- IEEE copyright and PDF checks
Example prompts
- “/wacv-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
Wacv Camera Ready loads about 976 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 393 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). 393 words, ~976 tokens.
Download SKILL.mdSave it as
.claude/skills/wacv-camera-ready/SKILL.md (or your agent's skills folder).- name
- wacv-camera-ready
- description
- Use when preparing a WACV camera-ready after acceptance, covering de-anonymization, IEEE Xplore plus CVF open-access dual publication, IEEE copyright and PDF checks, the dataset and code release obligation, per-paper registration, and preparing the winter-conference talk or poster once a paper clears Round 1 or Round 2.
WACV Camera-Ready
Use this once a paper is accepted — at Round 1 outright or after the Round 2 decision — to turn the reviewed submission into the version of record. WACV publishes dually (CVF open access and IEEE Xplore), so camera-ready has both a CVF and an IEEE side. Facts are the WACV 2026/2027 cycles as read on 2026-07-09; confirm the exact camera-ready deadline, page allowance, and forms on the current Author Guidelines (some items are 待核实).
From reviewed PDF to version of record
| Step | What changes | Watch for |
|---|---|---|
| De-anonymize | Add author names, affiliations, acknowledgements, funding | Do not also re-break a claim reviewers accepted |
| Incorporate final edits | Fold in required revision changes, fix typos | Stay within the page allowance (待核实 if extra page granted) |
| Add real links | Project page, code repo, dataset now permitted | These were banned at review — add them only now |
| IEEE + CVF forms | IEEE copyright, PDF validation, metadata | Author list and title must match OpenReview exactly |
| Registration | At least one author registers per paper | Miss it and the paper can be pulled |
De-anonymize carefully
The camera-ready is the first time author identity, acknowledgements, funding, and real repository links are allowed. Add them — but do not use the de-anonymization pass to quietly strengthen a claim the reviewers accepted in weaker form; the accepted content is what was reviewed. Restore only identity and the links that review forbade.
Dual publication: CVF open access + IEEE Xplore
Where a WACV paper lands after camera-ready:
CVF open access (openaccess.thecvf.com) → the accepted version, free, with a watermark
IEEE Xplore → the version of record (indexed, citable)
Both come from the same camera-ready package; there is no article-processing charge, and the
conference is funded by registration. Cite the IEEE/CVF WACV proceedings, not an arXiv id.Show full SKILL.md (158 more words)Show less
Honor the release obligation
If a dataset or code was claimed as a contribution, the camera-ready is when it must be
genuinely available: public repository, stated license, and (for datasets) any consent or
collection basis documented. Turn the anonymous review artifact into the public release (see
wacv-artifact-evaluation), and make sure the paper's links point to it.
Prepare the winter presentation
WACV is a winter conference (January 2027 window; exact dates/location 待核实). Once accepted, prepare the assigned format — poster or talk — and plan for the venue and travel. Because applications work is judged visually, a poster or talk that shows the system working under its real constraint lands better than one that only reports a table.
Reverify each cycle
- The camera-ready deadline and whether an extra page over the 8-page body is granted.
- The exact IEEE copyright / PDF validation steps and CVF metadata fields.
- Per-paper registration and in-person vs virtual presentation obligations (待核实).
- The dataset/code public-availability deadline.
Output format
[De-anonymized] names/affil/acks/funding added; claims unchanged: yes/no
[Links] real repo/project/dataset links added (were banned at review): yes/no
[Forms] IEEE copyright + PDF validation + CVF metadata complete: yes/no
[Release] dataset/code public with license by the obligation: yes/no
[Registration] at least one author registered per paper: yes/no
[Presentation] winter talk/poster prepared for the real-constraint story: yes/no© 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 WACV-Skills/skills/wacv-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Wacv 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 |
|---|---|---|---|---|---|---|
| Wacv Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~976 | Automated safety check: Pass | MIT | |
| MarkitdownImCa0/just-laws | 782 | 14 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Gzh Designisjiamu/gzh-design-skill | 3.9k | 1 repos | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| GenOffice Document CLIgenspark-ai/genoffice | 9k | — | ~19k | Automated safety check: Pass | Apache-2.0 | |
| Harness Book Best Practicewquguru/harness-books | 3.2k | — | ~4.1k | Automated safety check: Pass | None | |
| Bookforge Korean Ebook PDF Makergongnyang/bookforge | 315 | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
Similar skills
Gzh Design
isjiamu/gzh-design-skill
微信公众号文章排版引擎，将 Markdown 转换为可直接粘贴到公众号编辑器的 HTML。主题风格从 references/theme-index.md 注册的自定义主题库中选取，自动章节编号、关键词下划线标记、引言卡片、目录导航、代码块、图片/GIF、作者签名。支持 Markdown / Word(.docx) / PDF / 纯文本输入（非 Markdown…
GenOffice Document CLI
genspark-ai/genoffice
Creates, converts, reads and edits real pptx, xlsx, docx and PDF files locally through the genoffice command line.
Harness Book Best Practice
wquguru/harness-books
Best practices for working on the Harness books repo. An agent skill from wquguru/harness-books.
Bookforge Korean Ebook PDF Maker
gongnyang/bookforge
Produces book-style Korean ebook PDFs from a topic or finished manuscript, with six design styles, real book parts and quality-check gates before output.
- Official
Instrument Data To Allotrope
aws-samples/amazon-bedrock-agents-healthcare-lifesciences
Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV.
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 Wacv Camera Ready
What does Wacv Camera Ready do?
A skill your agent uses when preparing a WACV camera-ready after acceptance, covering de-anonymization, IEEE Xplore plus CVF open-access dual publication, IEEE copyright and PDF checks, the dataset…. Wacv Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing a WACV camera-ready after acceptance, covering de-anonymization, IEEE Xplore plus CVF open-access dual publication, IEEE copyright and PDF checks, the dataset and code release obligation, per-paper registration, and preparing the winter-conference talk or poster once a paper clears Round 1 or Round 2.
When should I use Wacv Camera Ready?
Wacv Camera Ready fits situations like: preparing a WACV camera-ready after acceptance; covering de-anonymization; IEEE Xplore plus CVF open-access dual publication; IEEE copyright and PDF checks.
How do I install Wacv Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wacv-camera-ready -a claude-code`. Or copy the skill folder (WACV-Skills/skills/wacv-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/wacv-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Wacv Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wacv-camera-ready -a codex`. Or copy the skill folder (WACV-Skills/skills/wacv-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/wacv-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Wacv 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 wacv-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/wacv-camera-ready, .gemini/skills/wacv-camera-ready, .github/skills/wacv-camera-ready and .opencode/skills/wacv-camera-ready in your project.
What does Wacv Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Wacv Camera Ready is instructions for the agent only.
Does Wacv 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 Wacv 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 Wacv Camera Ready use?
Wacv 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 Wacv Camera Ready use?
About 976 tokens (SKILL.md is roughly 3.9k 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 Wacv Camera Ready?
Skills that share tags, products or a category with Wacv Camera Ready: Markitdown (ImCa0/just-laws, 782 stars), Gzh Design (isjiamu/gzh-design-skill, 3.9k stars), GenOffice Document CLI (genspark-ai/genoffice, 9k stars) and Harness Book Best Practice (wquguru/harness-books, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Wacv 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.