Convert
remotion-dev/remotion
Start the local @remotion/convert app and open it in the Codex browser.
A skill your agent uses when converting an accepted EuroSys paper into its ACM proceedings version — flipping acmart out of review/anonymous mode, restoring authors and acknowledgments, completing…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eurosys-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eurosys-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/EuroSys-Skills/skills/eurosys-camera-ready .claude/skills/eurosys-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 "eurosys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-camera-ready into .claude/skills/eurosys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-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/EuroSys-Skills/skills/eurosys-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 eurosys-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eurosys-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/EuroSys-Skills/skills/eurosys-camera-ready .agents/skills/eurosys-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 "eurosys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-camera-ready into .agents/skills/eurosys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-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 eurosys-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eurosys-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/EuroSys-Skills/skills/eurosys-camera-ready .cursor/skills/eurosys-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 "eurosys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-camera-ready into .cursor/skills/eurosys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-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 EuroSys-Skills/skills/eurosys-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 eurosys-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills eurosys-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/EuroSys-Skills/skills/eurosys-camera-ready .gemini/skills/eurosys-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 "eurosys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-camera-ready into .gemini/skills/eurosys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-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 eurosys-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 eurosys-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/EuroSys-Skills/skills/eurosys-camera-ready .github/skills/eurosys-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 "eurosys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-camera-ready into .github/skills/eurosys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-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 eurosys-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 eurosys-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/EuroSys-Skills/skills/eurosys-camera-ready .opencode/skills/eurosys-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 "eurosys-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/EuroSys-Skills/skills/eurosys-camera-ready into .opencode/skills/eurosys-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "eurosys-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.
eurosys-camera-readyA skill your agent uses when converting an accepted EuroSys paper into its ACM proceedings version — flipping acmart out of review/anonymous mode, restoring authors and acknowledgments, completing…
Eurosys Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted EuroSys paper into its ACM proceedings version — flipping acmart out of review/anonymous mode, restoring authors and acknowledgments, completing ACM rights and metadata steps, attaching sysartifacts badges, and meeting the single camera-ready date that serves both the spring and fall cohorts.
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Eurosys Camera Ready loads about 1.3k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 617 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.
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.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 617 words, ~1,346 tokens.
.claude/skills/eurosys-camera-ready/SKILL.md (or your agent's skills folder).Use this after a EuroSys acceptance (direct or via a satisfied revision). EuroSys
proceedings are published by ACM and land in the ACM Digital Library
(dl.acm.org/conference/eurosys, confirmed 2026-07-08). For the 2027 edition, a
single camera-ready date around March 5, 2027 was reported for both decision
cohorts — that date comes from a third-party calendar, so treat it as 待核实 and
take the controlling date from the acceptance email and the conference site.
| Dimension | Submission state | Proceedings state |
|---|---|---|
| Template mode | sigplan,review,anonymous | sigplan final mode per author kit |
| Page 1 identity | Paper ID | Full author block with affiliations |
| Acknowledgments | Forbidden | Restored: funders, grants, shepherd thanks |
| Self-citations | Third person | Natural voice where clearer |
| Artifact links | Anonymized mirrors | Public DOI-backed archive |
| Rights | None | ACM eRights form, CCS concepts, keywords |
Because the template flip changes line breaks and float placement, never assume the accepted PDF's pagination survives: rebuild, then re-inspect every figure, table, and listing against the final page allowance in the author kit (the camera-ready page budget can differ from the 12-page review budget — 待核实 per edition).
# Sanity pass on the final build before upload
pdffonts camera.pdf | awk 'NR>2 && $(NF-2)=="no" {print "UNEMBEDDED:", $1}'
pdfinfo camera.pdf | grep -E 'Pages|Page size'eurosys-author-response; publication chairs and shepherds
(if the edition assigns them — 待核实) may ask for exactly that document.Camera-ready is when artifact evaluation results become visible: badges awarded
through the sysartifacts process appear on the published paper. Sequence the
work so the archival DOI (Zenodo or equivalent) exists before the camera-ready
deadline, and cite that DOI — not a mutable GitHub URL — in the availability
section. Details in eurosys-artifact-evaluation.
The published record has more surfaces than the PDF; they must agree:
EuroSys 2027 takes place in Rabat, Morocco, in April 2027. Registration requirements and any in-person presentation obligation for accepted papers are edition policy — 待核实 on the attendee pages before booking or skipping travel. Both spring-cohort and fall-cohort papers present at the same April conference.
[Camera-ready state] compliant / rebuild needed / blocked on forms
[Template flip] done / pending; pagination re-checked yes/no
[ACM workflow] eRights / DOI block / CCS+keywords / ORCID status
[Review-change ledger] <required change -> where applied>
[Artifact coupling] DOI minted? badge status? availability text final?
[待核实] <camera-ready date, page allowance, shepherding, attendance rule>© 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
Just SKILL.md in EuroSys-Skills/skills/eurosys-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Eurosys 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 |
|---|---|---|---|---|---|---|
| Eurosys Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Convertremotion-dev/remotion | 63k | — | ~247 | Automated safety check: Pass | Custom licence | |
| QA Acceptancepaperclipai/paperclip | 99k | — | ~964 | Automated safety check: Pass | MIT | |
| Acceptance Orchestratorsickn33/agentic-awesome-skills | 47k | 2 repos | ~943 | Automated safety check: Pass | MIT | |
| Acceptance Evidence for Deliverieslobehub/lobehub | 83k | — | ~9.7k | Automated safety check: Pass | Apache-2.0 | |
| Word to Markdown Convertergithub/awesome-copilot | 40k | — | ~1.6k | Automated safety check: Pass | MIT |
remotion-dev/remotion
Start the local @remotion/convert app and open it in the Codex browser.
paperclipai/paperclip
Produce QA acceptance criteria and a manual validation plan for a feature change — golden path, edge cases, error states, performance limits, and explicit pass/fail evidence.
sickn33/agentic-awesome-skills
A skill your agent uses when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and acceptance verification with minimal human re-intervention.
lobehub/lobehub
Verifies a delivery end to end by driving the real product on a CLI, web, desktop or iOS Simulator surface, capturing evidence and publishing a round with the lh CLI.
github/awesome-copilot
Converts Word .docx files to Markdown with a bundled script before analysis, extracting embedded images and handling whole folders alongside the PDF and Excel converters.
kangarooking/cangjie-skill
Helps someone stuck ruminating over an unchangeable situation decide whether to change it, accept it, or leave it, drawn from a chapter of Navalism-style writing.
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…
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…
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…
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…
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…
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…
A skill your agent uses when converting an accepted EuroSys paper into its ACM proceedings version — flipping acmart out of review/anonymous mode, restoring authors and acknowledgments, completing…. Eurosys Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted EuroSys paper into its ACM proceedings version — flipping acmart out of review/anonymous mode, restoring authors and acknowledgments, completing ACM rights and metadata steps, attaching sysartifacts badges, and meeting the single camera-ready date that serves both the spring and fall cohorts.
Eurosys Camera Ready fits situations like: converting an accepted EuroSys paper into its ACM proceedings version — flipping acmart out of review/anonymous mode; restoring authors and acknowledgments; completing ACM rights and metadata steps; attaching sysartifacts badges.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eurosys-camera-ready -a claude-code`. Or copy the skill folder (EuroSys-Skills/skills/eurosys-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/eurosys-camera-ready in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill eurosys-camera-ready -a codex`. Or copy the skill folder (EuroSys-Skills/skills/eurosys-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/eurosys-camera-ready in your project. Codex loads it when a task matches its description.
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 eurosys-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/eurosys-camera-ready, .gemini/skills/eurosys-camera-ready, .github/skills/eurosys-camera-ready and .opencode/skills/eurosys-camera-ready in your project.
SKILL.md names no scripts, command-line tools or credentials: Eurosys Camera Ready is instructions for the agent only.
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.
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.
Eurosys 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.
About 1.3k tokens (SKILL.md is roughly 5.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Eurosys Camera Ready: Convert (remotion-dev/remotion, 63k stars), QA Acceptance (paperclipai/paperclip, 99k stars), Acceptance Orchestrator (sickn33/agentic-awesome-skills, 47k stars) and Acceptance Evidence for Deliveries (lobehub/lobehub, 83k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.