Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Agent skill
Sigmetrics Camera Ready
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when preparing an accepted ACM SIGMETRICS paper for its POMACS camera-ready, covering de-anonymization, the acmsmall template and POMACS journal metadata (DOI, ORCID, CCS…
Install Sigmetrics Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-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/SIGMETRICS-Skills/skills/sigmetrics-camera-ready .claude/skills/sigmetrics-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 "sigmetrics-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-camera-ready into .claude/skills/sigmetrics-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-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/SIGMETRICS-Skills/skills/sigmetrics-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 sigmetrics-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-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/SIGMETRICS-Skills/skills/sigmetrics-camera-ready .agents/skills/sigmetrics-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 "sigmetrics-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-camera-ready into .agents/skills/sigmetrics-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-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 sigmetrics-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-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/SIGMETRICS-Skills/skills/sigmetrics-camera-ready .cursor/skills/sigmetrics-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 "sigmetrics-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-camera-ready into .cursor/skills/sigmetrics-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-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 SIGMETRICS-Skills/skills/sigmetrics-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 sigmetrics-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmetrics-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/SIGMETRICS-Skills/skills/sigmetrics-camera-ready .gemini/skills/sigmetrics-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 "sigmetrics-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-camera-ready into .gemini/skills/sigmetrics-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-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 sigmetrics-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 sigmetrics-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/SIGMETRICS-Skills/skills/sigmetrics-camera-ready .github/skills/sigmetrics-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 "sigmetrics-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-camera-ready into .github/skills/sigmetrics-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-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 sigmetrics-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 sigmetrics-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/SIGMETRICS-Skills/skills/sigmetrics-camera-ready .opencode/skills/sigmetrics-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 "sigmetrics-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMETRICS-Skills/skills/sigmetrics-camera-ready into .opencode/skills/sigmetrics-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmetrics-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
sigmetrics-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 450 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 ACM SIGMETRICS paper for its POMACS camera-ready, covering de-anonymization, the acmsmall template and POMACS journal metadata (DOI, ORCID, CCS…
- Preparing an accepted ACM SIGMETRICS paper for its POMACS camera-ready
- SKILL.md covers Camera-ready audit, De-anonymization sweep, POMACS production checks and Worked example: incorporating…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering de-anonymization
What it does
Sigmetrics Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACM SIGMETRICS paper for its POMACS camera-ready, covering de-anonymization, the acmsmall template and POMACS journal metadata (DOI, ORCID, CCS concepts), incorporating the shepherd's required changes without scope creep, permanentizing artifact links, and the ACM artifact-badge handoff.
Its SKILL.md is about 1.2k 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 Research & Science. 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 ACM SIGMETRICS paper for its POMACS camera-ready
- Covering de-anonymization
- The acmsmall template and POMACS journal metadata (DOI
- Incorporating the shepherds required changes without scope creep
Example prompts
- “/sigmetrics-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
Sigmetrics Camera Ready loads about 1.2k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 450 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). 450 words, ~1,233 tokens.
Download SKILL.mdSave it as
.claude/skills/sigmetrics-camera-ready/SKILL.md (or your agent's skills folder).- name
- sigmetrics-camera-ready
- description
- Use when preparing an accepted ACM SIGMETRICS paper for its POMACS camera-ready, covering de-anonymization, the acmsmall template and POMACS journal metadata (DOI, ORCID, CCS concepts), incorporating the shepherd's required changes without scope creep, permanentizing artifact links, and the ACM artifact-badge handoff.
SIGMETRICS Camera Ready
Use this after acceptance. SIGMETRICS research papers are published as POMACS journal articles, so the camera-ready is a journal production step, and it runs through shepherding: an accepted paper is shepherded to ensure the reviewers' required changes land in the final version. Reopen the current POMACS author instructions, the shepherd's list, and any artifact-track page before advising.
Camera-ready audit
- De-anonymize completely: restore the author block, affiliations, acknowledgements, funding, and the real system and trace names that double-anonymity forced you to hide (the Operational Systems Track may already have named them).
- Apply the final format: the ACM acmsmall single-column template, within the page allowance the acceptance/shepherd instructions state.
- Complete POMACS journal metadata: title/abstract, author order, ORCIDs, ACM CCS concepts and keywords, and the DOI-bearing citation once assigned. Journal metadata errors are harder to fix after publication than conference ones.
- Incorporate the shepherd's required changes faithfully — the shepherd verifies that specific reviewer requests are in the final version — without strengthening claims beyond what was evaluated.
- Permanentize reproducibility: replace every anonymized artifact link with a public, licensed, DOI-issuing archive, and make sure the seeded simulator, proofs, and processed data are the reviewed versions.
- Confirm registration and presentation obligations; at least one author presents at SIGMETRICS.
De-anonymization sweep
| Anonymized at submission | Restore at camera-ready | Watch for |
|---|---|---|
| Author block, affiliations, ORCID | Full, correctly ordered | Wrong author order breaks the DOI citation |
| System / tool name | Real name throughout text, figures, artifact | A leftover placeholder in a caption or a plot legend |
| Trace / dataset provenance | Real source named, with access terms | A provenance string still pointing at an anonymizing host |
| Acknowledgements, funding | Restored | Grant numbers required by funders |
| Self-citations (third person) | Natural first-person where it aids clarity | Over-correcting and double-citing |
Show full SKILL.md (164 more words)Show less
POMACS production checks
[Template] acmsmall single-column, current revision; no manual margin/font edits
[Metadata] title, abstract, authors+ORCID, CCS concepts, keywords all entered and matching PDF
[References] complete, consistent; DOIs where available (references are unlimited pages)
[Figures] vector where possible; readable in print; analysis-vs-simulation overlays legible
[Proofs] final proof appendix matches the shepherded theorem statements and assumptions
[Rights] ACM e-rights/copyright form completed; correct rights statement on the first page
[Links] every artifact/data link resolves from a logged-out browserWorked example: incorporating a shepherd's required change
The shepherd required moving an assumption-validity check from a footnote into the model section and adding the goodness-of-fit figure. Camera-ready move: place the assumption check in the model section with the QQ-plot, restore the real trace name and its access terms, confirm the theorem statement and proof appendix still match, and point the artifact link at the now-public DOI archive — without expanding the bound the reviewers accepted.
Artifact-badge handoff
Where an artifact track runs, badges are typically pursued around acceptance and are separate from the shepherded camera-ready. Make the paper's reproducibility statement consistent with the badges you are pursuing (Available at minimum; Functional/Reusable/Reproduced if the track grants them), and add any badge acknowledgement only per the current instructions.
Hedged logistics
- Page allowances, metadata fields, rights-form mechanics, shepherding timelines, and exact camera-ready dates change each cycle; confirm against the acceptance email, the shepherd's instructions, and current POMACS guidelines rather than a prior year.
Output format
[Camera-ready status] ready / needs fixes / blocked
[De-anonymization] author block / system name / trace provenance / acks / links restored? yes/no
[POMACS metadata] ORCID / CCS / keywords / rights form complete? yes/no
[Shepherd-change map] <required change -> final edit, no scope creep>
[Reproducibility] anonymized links replaced by DOI archive? proofs/simulator final? yes/no
[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
Files
Just SKILL.md in SIGMETRICS-Skills/skills/sigmetrics-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Sigmetrics 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 |
|---|---|---|---|---|---|---|
| Sigmetrics Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
Similar skills
GitHub Deep Research
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Nature Paper Card
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
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Related
Categories
Questions about Sigmetrics Camera Ready
What does Sigmetrics Camera Ready do?
A skill your agent uses when preparing an accepted ACM SIGMETRICS paper for its POMACS camera-ready, covering de-anonymization, the acmsmall template and POMACS journal metadata (DOI, ORCID, CCS…. Sigmetrics Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when preparing an accepted ACM SIGMETRICS paper for its POMACS camera-ready, covering de-anonymization, the acmsmall template and POMACS journal metadata (DOI, ORCID, CCS concepts), incorporating the shepherd's required changes without scope creep, permanentizing artifact links, and the ACM artifact-badge handoff.
When should I use Sigmetrics Camera Ready?
Sigmetrics Camera Ready fits situations like: preparing an accepted ACM SIGMETRICS paper for its POMACS camera-ready; covering de-anonymization; the acmsmall template and POMACS journal metadata (DOI; incorporating the shepherds required changes without scope creep.
How do I install Sigmetrics Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-camera-ready -a claude-code`. Or copy the skill folder (SIGMETRICS-Skills/skills/sigmetrics-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/sigmetrics-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Sigmetrics Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-camera-ready -a codex`. Or copy the skill folder (SIGMETRICS-Skills/skills/sigmetrics-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/sigmetrics-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Sigmetrics 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 sigmetrics-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/sigmetrics-camera-ready, .gemini/skills/sigmetrics-camera-ready, .github/skills/sigmetrics-camera-ready and .opencode/skills/sigmetrics-camera-ready in your project.
What does Sigmetrics Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Sigmetrics Camera Ready is instructions for the agent only.
Does Sigmetrics 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 Sigmetrics 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 Sigmetrics Camera Ready use?
Sigmetrics 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 Sigmetrics Camera Ready use?
About 1.2k tokens (SKILL.md is roughly 4.9k 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 Sigmetrics Camera Ready?
Skills that share tags, products or a category with Sigmetrics Camera Ready: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sigmetrics Camera Ready?
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.