A skill your agent uses when preparing an accepted ACM SIGCOMM paper for the TAPS proceedings — clearing shepherd sign-off in HotCRP, uploading the final PDF plus source under acmart, de-anonymizing…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigcomm-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigcomm-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/SIGCOMM-Skills/skills/sigcomm-camera-ready .claude/skills/sigcomm-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 "sigcomm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGCOMM-Skills/skills/sigcomm-camera-ready into .claude/skills/sigcomm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigcomm-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/SIGCOMM-Skills/skills/sigcomm-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 sigcomm-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigcomm-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/SIGCOMM-Skills/skills/sigcomm-camera-ready .agents/skills/sigcomm-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 "sigcomm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGCOMM-Skills/skills/sigcomm-camera-ready into .agents/skills/sigcomm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigcomm-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 sigcomm-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigcomm-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/SIGCOMM-Skills/skills/sigcomm-camera-ready .cursor/skills/sigcomm-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 "sigcomm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGCOMM-Skills/skills/sigcomm-camera-ready into .cursor/skills/sigcomm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigcomm-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 SIGCOMM-Skills/skills/sigcomm-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 sigcomm-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigcomm-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/SIGCOMM-Skills/skills/sigcomm-camera-ready .gemini/skills/sigcomm-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 "sigcomm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGCOMM-Skills/skills/sigcomm-camera-ready into .gemini/skills/sigcomm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigcomm-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 sigcomm-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 sigcomm-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/SIGCOMM-Skills/skills/sigcomm-camera-ready .github/skills/sigcomm-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 "sigcomm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGCOMM-Skills/skills/sigcomm-camera-ready into .github/skills/sigcomm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigcomm-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 sigcomm-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 sigcomm-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/SIGCOMM-Skills/skills/sigcomm-camera-ready .opencode/skills/sigcomm-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 "sigcomm-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGCOMM-Skills/skills/sigcomm-camera-ready into .opencode/skills/sigcomm-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigcomm-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.
sigcomm-camera-readyA skill your agent uses when preparing an accepted ACM SIGCOMM paper for the TAPS proceedings — clearing shepherd sign-off in HotCRP, uploading the final PDF plus source under acmart, de-anonymizing…
Sigcomm Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACM SIGCOMM paper for the TAPS proceedings — clearing shepherd sign-off in HotCRP, uploading the final PDF plus source under acmart, de-anonymizing author and deployment identity, keeping the 12-page body under ACM two-column reflow, appendix-necessity approval, and releasing the public artifact by the badge deadline.
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. 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.
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.
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.
Sigcomm Camera Ready loads about 1k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 410 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). 410 words, ~1,010 tokens.
.claude/skills/sigcomm-camera-ready/SKILL.md (or your agent's skills folder).Use this after acceptance. Reopen the current camera-ready instructions, the ACM TAPS requirements, and your shepherd's HotCRP thread before finalizing; the 2026 cycle set the camera-ready deadline at July 3, 2026, 23:59 UTC, with the final version approved by the shepherd via a HotCRP comment.
At SIGCOMM the shepherd gates the final version. Before you polish anything:
| Anonymized in submission | Restored for camera-ready |
|---|---|
| Author names, affiliations, ORCIDs | Full author block in ACM metadata and PDF |
| Acknowledgments and funding | Restored, spelled out |
| Deployment / system / company names | Real names where the paper's honesty needs them |
| Anonymized artifact links | Public, licensed, citable archive with a DOI |
| Third-person self-citation | Natural first-person where it improves clarity |
Test every restored link from a logged-out browser, and confirm the artifact archive is the one the paper actually points to.
Switching acmart from the review to the final mode changes spacing, and adding the author
block, acknowledgments, and funding lines consumes room the anonymous draft did not use.
Recheck every page break, figure placement, and wide table after the flip; multi-panel
measurement plots and full-width topology figures are the usual overflow culprits. Keep
section, theorem-if-any, and equation numbering stable so the review record stays traceable
to the final text.
SIGCOMM finals go through the ACM Publishing System, which regenerates the PDF from your source, so local-only PDF tweaks will not survive:
# TAPS-facing checklist
[ ] Upload BOTH the final PDF and the complete LaTeX/Word source to HotCRP
[ ] acmart.cls (or ACM Word template), unmodified class options
[ ] Correct ACM rights/CCS concepts and keywords entered
[ ] All fonts embedded; figures at publication resolution
[ ] References complete with DOIs; artifact/DOI links live
[ ] Shepherd HotCRP comment recording final-version approvalFix problems in the source, recompile, and re-check the TAPS-produced PDF rather than editing the PDF by hand.
Artifact evaluation and badge assignment run on a separate schedule from the paper deadline.
Once anonymity no longer applies, publish the code, traces, topologies, and configuration to
a permanent archive with a DOI, and submit to the artifact-evaluation committee for the
badges you can honestly support (see sigcomm-artifact-evaluation). A public artifact by the
badge deadline is also what makes a paper eligible for the reproducibility recognition the
venue prizes.
[Camera-ready status] Ready / Needs fixes / Blocked
[Shepherd] concerns mapped, appendix necessity, HotCRP approval — status
[Final package] TAPS PDF + source / acmart / rights / fonts / references
[De-anonymization] authors / funding / deployment names / artifact links
[Artifact] public archive + DOI + AEC submission — status
[Remaining owner] <person -> task>© 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 SIGCOMM-Skills/skills/sigcomm-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Sigcomm 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 |
|---|---|---|---|---|---|---|
| Sigcomm Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1k | Automated safety check: Pass | MIT | |
| Local Vscuse ValidationOfficeDev/microsoft-365-agents-toolkit | 781 | — | ~10k | Automated safety check: Warn | Custom licence | |
| Pre Commit Auditflonat/flonat-research | 146 | — | ~2.8k | Automated safety check: Notes | MIT | |
| Deploymaxwell2732/paper-replicate-agent-demo | 137 | 1 repos | ~371 | Automated safety check: Notes | None | |
| Recipe Post Mortem Setupgoogleworkspace/cli | 31k | — | ~256 | Automated safety check: Pass | Apache-2.0 | |
| Performing Cloud Storage Forensic Acquisitionmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 |
OfficeDev/microsoft-365-agents-toolkit
A skill your agent uses when: setting up shared local vscuse prerequisites, credentials, runner, local or pinned published Docker images, local VSIX, env variables, and common rules for Microsoft…
flonat/flonat-research
Deliver a fast pre-commit safety scan: file size, anonymity (author / affiliation strings in tex/bib), hardcoded secrets, and invisible-Unicode carriers.
maxwell2732/paper-replicate-agent-demo
Render Quarto slides and sync to docs/ for GitHub Pages deployment.
googleworkspace/cli
Create a Google Docs post-mortem, schedule a Google Calendar review, and notify via Chat.
mukul975/Anthropic-Cybersecurity-Skills
Perform forensic acquisition of cloud storage services including Google Drive, OneDrive, Dropbox, and Box by pulling API-based remote data such as revision history and audit logs, and collecting…
kylesnowschwartz/SimpleClaude
This skill SHOULD be used for structured extraction or batch queries against JSON (use jq), YAML (use yq), or Markdown (use mq), and for advanced text search with ripgrep flags or pipe composition…
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…
Categories
A skill your agent uses when preparing an accepted ACM SIGCOMM paper for the TAPS proceedings — clearing shepherd sign-off in HotCRP, uploading the final PDF plus source under acmart, de-anonymizing…. Sigcomm Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACM SIGCOMM paper for the TAPS proceedings — clearing shepherd sign-off in HotCRP, uploading the final PDF plus source under acmart, de-anonymizing author and deployment identity, keeping the 12-page body under ACM two-column reflow, appendix-necessity approval, and releasing the public artifact by the badge deadline.
Sigcomm Camera Ready fits situations like: preparing an accepted ACM SIGCOMM paper for the TAPS proceedings — clearing shepherd sign-off in HotCRP; uploading the final PDF plus source under acmart; de-anonymizing author and deployment identity; keeping the 12-page body under ACM two-column reflow.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigcomm-camera-ready -a claude-code`. Or copy the skill folder (SIGCOMM-Skills/skills/sigcomm-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/sigcomm-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 sigcomm-camera-ready -a codex`. Or copy the skill folder (SIGCOMM-Skills/skills/sigcomm-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/sigcomm-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 sigcomm-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/sigcomm-camera-ready, .gemini/skills/sigcomm-camera-ready, .github/skills/sigcomm-camera-ready and .opencode/skills/sigcomm-camera-ready in your project.
SKILL.md names no scripts, command-line tools or credentials: Sigcomm 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.
Sigcomm 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 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.
Skills that share tags, products or a category with Sigcomm Camera Ready: Local Vscuse Validation (OfficeDev/microsoft-365-agents-toolkit, 781 stars), Pre Commit Audit (flonat/flonat-research, 146 stars), Deploy (maxwell2732/paper-replicate-agent-demo, 137 stars) and Recipe Post Mortem Setup (googleworkspace/cli, 31k 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 1,228 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.
