Compdf PDF To HTML
ComPDFKit/compdf-skills
Convert PDF files into reusable HTML with ComPDF. An agent skill from ComPDFKit/compdf-skills.
A skill your agent uses when producing the final PVLDB version of an accepted VLDB paper, covering the volume-specific template, PDF/A compliance and font embedding, figure legibility floors, the…
Install Vldb Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vldb-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vldb-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/VLDB-Skills/skills/vldb-camera-ready .claude/skills/vldb-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 "vldb-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-camera-ready into .claude/skills/vldb-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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/VLDB-Skills/skills/vldb-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 vldb-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vldb-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/VLDB-Skills/skills/vldb-camera-ready .agents/skills/vldb-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 "vldb-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-camera-ready into .agents/skills/vldb-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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 vldb-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vldb-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/VLDB-Skills/skills/vldb-camera-ready .cursor/skills/vldb-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 "vldb-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-camera-ready into .cursor/skills/vldb-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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 VLDB-Skills/skills/vldb-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 vldb-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vldb-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/VLDB-Skills/skills/vldb-camera-ready .gemini/skills/vldb-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 "vldb-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-camera-ready into .gemini/skills/vldb-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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 vldb-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 vldb-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/VLDB-Skills/skills/vldb-camera-ready .github/skills/vldb-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 "vldb-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-camera-ready into .github/skills/vldb-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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 vldb-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 vldb-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/VLDB-Skills/skills/vldb-camera-ready .opencode/skills/vldb-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 "vldb-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-camera-ready into .opencode/skills/vldb-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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
vldb-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~982 tokens
- SKILL.md length
- 381 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when producing the final PVLDB version of an accepted VLDB paper, covering the volume-specific template, PDF/A compliance and font embedding, figure legibility floors, the…
- Producing the final PVLDB version of an accepted VLDB paper
- SKILL.md covers Production gates, Availability paragraph, Final-pass checklist and Conference leg, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering the volume-specific template
What it does
Vldb Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when producing the final PVLDB version of an accepted VLDB paper, covering the volume-specific template, PDF/A compliance and font embedding, figure legibility floors, the availability paragraph and artifact URL, proceedings file naming and copyright steps, and planning presentation at the matching VLDB conference.
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 Embeddings 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
- Producing the final PVLDB version of an accepted VLDB paper
- Covering the volume-specific template
- PDF/A compliance and font embedding
- Figure legibility floors
Example prompts
- “/vldb-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
Vldb Camera Ready loads about 982 tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 381 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). 381 words, ~982 tokens.
Download SKILL.mdSave it as
.claude/skills/vldb-camera-ready/SKILL.md (or your agent's skills folder).- name
- vldb-camera-ready
- description
- Use when producing the final PVLDB version of an accepted VLDB paper, covering the volume-specific template, PDF/A compliance and font embedding, figure legibility floors, the availability paragraph and artifact URL, proceedings file naming and copyright steps, and planning presentation at the matching VLDB conference.
VLDB Camera Ready
Use this after a PVLDB acceptance. Publication is journal-style and fast: the paper enters a monthly PVLDB issue on vldb.org, usually well before the conference where it is presented. That speed cuts both ways — production errors go public quickly, and there is no long camera-ready season to catch them.
Production gates
- Template: fetch the current template from the volume's formatting page
(
vldb.org/pvldb/volumes/<N>/formatting). Templates carry volume-specific headers and tags; a stale copy produces wrong running heads that only the proceedings chairs will catch, late. - PDF/A: PVLDB has required PDF/A-compliant files (PDF/A-2 or newer in the Vol 16 instructions) with every font embedded, including fonts inside figures exported from plotting tools — the usual offender. Validate with a real PDF/A checker, not by eyeballing.
- Figure floor: nothing in a figure below LaTeX
scriptsize(Vol 16 rule). Regenerate rather than rescale. - Naming and forms: Vol 16 wanted
p[ID]-[lastname].pdfplus a signed copyright form; the exact Vol 20 mechanics are 待核实 — follow the acceptance email over anything here.
Availability paragraph
Supplying an artifact URL adds a highlighted availability statement to the published paper and qualifies it for the ACM availability badge. Decide the permanent home now:
| Artifact home | Badge-worthiness | Risk |
|---|---|---|
| Archival deposit (DOI-backed) | Strong | Least; version-frozen |
| Institutional or lab server | Weak | Link rot within years |
| Git repo, tagged release | Good | Force-push and deletion hazards |
| Git repo, default branch | Poor | Contents drift from the paper |
Tag the exact commit the paper's numbers came from; the Reproducibility Committee may rerun it long after your cluster allocation expired.
Show full SKILL.md (128 more words)Show less
Final-pass checklist
[ ] Current volume template, unmodified, correct running heads
[ ] Page budget still holds after final author block and acknowledgements
[ ] PDF/A validation passes; all fonts embedded (check figures separately)
[ ] No figure text below scriptsize at print size
[ ] Artifact URL live, tagged, and matching the measured version
[ ] Availability statement present; badge criteria reviewed
[ ] File naming + copyright form per the acceptance email
[ ] Camera-ready numbers identical to accepted-version numbers, or every
change listed for the editorsConference leg
Acceptance into the volume earns presentation at the matching conference: Vol 19 papers accepted by June 15, 2026 present at VLDB 2026 in Boston (Aug 31 - Sep 4, 2026); Vol 20 feeds VLDB 2027 in Athens (Aug 23-27, 2027); late acceptances roll to the next conference. Registration and the exact presentation obligation are cycle-specific — 待核实 against the conference site, and budget travel early since the conference lands months after publication.
What goes wrong here
- Silent renumbering: results edited "for polish" after acceptance without telling the editors — a trust violation at a venue that reruns artifacts.
- The artifact URL pointing at a moving branch, so the badge certifies code the paper never used.
- PDF/A failures discovered by the proceedings team on issue-assembly week.
Output format
[Production status] ready / blocked (item)
[PDF/A + fonts] pass / failures listed
[Artifact] <URL, tag, badge intent>
[Issue/volume] <expected placement>
[Conference plan] <who presents, registration state>
[Diffs vs. accepted version] none / listed and disclosed© 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 VLDB-Skills/skills/vldb-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Vldb 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 |
|---|---|---|---|---|---|---|
| Vldb Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~982 | Automated safety check: Pass | MIT | |
| Compdf PDF To HTMLComPDFKit/compdf-skills | 109 | — | ~778 | Automated safety check: Pass | None | |
| Pdfkitdpearson2699/swift-ios-skills | 1.2k | — | ~3.5k | Automated safety check: Pass | Custom licence | |
| Knowledge Ingestevolution-foundation/evo-nexus | 545 | — | ~922 | Automated safety check: Pass | Custom licence | |
| I3brycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~1.8k | Automated safety check: Pass | Custom licence | |
| Text Analysis BasicDrchronx/ai-agent-research-starter-kit | 137 | — | ~737 | Automated safety check: Pass | Custom licence |
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Categories
Questions about Vldb Camera Ready
What does Vldb Camera Ready do?
A skill your agent uses when producing the final PVLDB version of an accepted VLDB paper, covering the volume-specific template, PDF/A compliance and font embedding, figure legibility floors, the…. Vldb Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when producing the final PVLDB version of an accepted VLDB paper, covering the volume-specific template, PDF/A compliance and font embedding, figure legibility floors, the availability paragraph and artifact URL, proceedings file naming and copyright steps, and planning presentation at the matching VLDB conference.
When should I use Vldb Camera Ready?
Vldb Camera Ready fits situations like: producing the final PVLDB version of an accepted VLDB paper; covering the volume-specific template; PDF/A compliance and font embedding; figure legibility floors.
How do I install Vldb Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vldb-camera-ready -a claude-code`. Or copy the skill folder (VLDB-Skills/skills/vldb-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/vldb-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Vldb Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vldb-camera-ready -a codex`. Or copy the skill folder (VLDB-Skills/skills/vldb-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/vldb-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Vldb 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 vldb-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/vldb-camera-ready, .gemini/skills/vldb-camera-ready, .github/skills/vldb-camera-ready and .opencode/skills/vldb-camera-ready in your project.
What does Vldb Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Vldb Camera Ready is instructions for the agent only.
Does Vldb 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 Vldb 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 Vldb Camera Ready use?
Vldb 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 Vldb Camera Ready use?
About 982 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 Vldb Camera Ready?
Skills that share tags, products or a category with Vldb Camera Ready: Compdf PDF To HTML (ComPDFKit/compdf-skills, 109 stars), Pdfkit (dpearson2699/swift-ios-skills, 1.2k stars), Knowledge Ingest (evolution-foundation/evo-nexus, 545 stars) and I3 (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Vldb 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.