Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
A skill your agent uses when converting an accepted SIGMOD research paper into its PACMMOD journal version, covering the port from the ACM submission template to PACMMOD format, de-anonymization…
Install Sigmod Camera Ready
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-camera-ready -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmod-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/SIGMOD-Skills/skills/sigmod-camera-ready .claude/skills/sigmod-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 "sigmod-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-camera-ready into .claude/skills/sigmod-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-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/SIGMOD-Skills/skills/sigmod-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 sigmod-camera-ready -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmod-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/SIGMOD-Skills/skills/sigmod-camera-ready .agents/skills/sigmod-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 "sigmod-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-camera-ready into .agents/skills/sigmod-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-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 sigmod-camera-ready -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmod-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/SIGMOD-Skills/skills/sigmod-camera-ready .cursor/skills/sigmod-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 "sigmod-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-camera-ready into .cursor/skills/sigmod-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-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 SIGMOD-Skills/skills/sigmod-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 sigmod-camera-ready -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmod-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/SIGMOD-Skills/skills/sigmod-camera-ready .gemini/skills/sigmod-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 "sigmod-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-camera-ready into .gemini/skills/sigmod-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-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 sigmod-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 sigmod-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/SIGMOD-Skills/skills/sigmod-camera-ready .github/skills/sigmod-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 "sigmod-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-camera-ready into .github/skills/sigmod-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-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 sigmod-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 sigmod-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/SIGMOD-Skills/skills/sigmod-camera-ready .opencode/skills/sigmod-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 "sigmod-camera-ready" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-camera-ready into .opencode/skills/sigmod-camera-ready/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-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
sigmod-camera-ready- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 623 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when converting an accepted SIGMOD research paper into its PACMMOD journal version, covering the port from the ACM submission template to PACMMOD format, de-anonymization…
- Converting an accepted SIGMOD research paper into its PACMMOD journal version
- SKILL.md covers The template flip, De-anonymization inventory, Issue placement and timing and Post-acceptance checklist, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering the port from the ACM submission template to PACMMOD format
What it does
Sigmod Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted SIGMOD research paper into its PACMMOD journal version, covering the port from the ACM submission template to PACMMOD format, de-anonymization, per-round issue placement, ACM DL metadata, conference presentation logistics, and the post-acceptance artifact and ARI handoff.
Its SKILL.md is about 1.4k 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
- Converting an accepted SIGMOD research paper into its PACMMOD journal version
- Covering the port from the ACM submission template to PACMMOD format
- De-anonymization
- Per-round issue placement
Example prompts
- “/sigmod-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
Sigmod Camera Ready loads about 1.4k tokens when it runs. Until then it costs about 81 tokens; SKILL.md has 623 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). 623 words, ~1,419 tokens.
Download SKILL.mdSave it as
.claude/skills/sigmod-camera-ready/SKILL.md (or your agent's skills folder).- name
- sigmod-camera-ready
- description
- Use when converting an accepted SIGMOD research paper into its PACMMOD journal version, covering the port from the ACM submission template to PACMMOD format, de-anonymization, per-round issue placement, ACM DL metadata, conference presentation logistics, and the post-acceptance artifact and ARI handoff.
SIGMOD Camera Ready
Acceptance at SIGMOD produces a journal article, not a conference paper: the final version appears in an issue of PACMMOD (Proceedings of the ACM on Management of Data), with one issue corresponding to each submission round, and the authors are invited to present at the SIGMOD conference itself. Camera-ready work therefore splits into a publication stream (ACM) and a presentation stream (the conference), on different clocks. Reopen the acceptance email and the current PACMMOD instructions before executing.
The template flip
You submitted and revised in the standard ACM template; PACMMOD format enters only now. The port is not cosmetic:
- Line widths, float placement, and page breaks all move; every figure, wide table, and multi-part plot needs re-inspection after conversion.
- Keep section numbering and claim wording aligned with the accepted version — the revision letter promised specific text at specific places, and shepherds or chairs may compare.
- Rebuild the bibliography against ACM reference style; DOIs for database papers are almost always available and expected.
- Complete ACM's rights/e-form workflow and supply ORCIDs and final affiliations exactly as they should render in the ACM Digital Library.
De-anonymization inventory
| Item restored | Detail to get right |
|---|---|
| Author block | Order agreed by all authors; affiliations current, not thesis-era |
| Funding | Grant numbers reinstated after months of enforced absence |
| Acknowledgements | Colleagues and shepherd thanked; forbidden during review, expected now |
| Artifact links | Anonymous mirrors swapped for the canonical public repository |
| Self-citations | Third-person circumlocutions rewritten as honest first person |
| Prior-version notes | Relationship to any workshop or tech-report version stated |
The reverse sweep matters as much as the forward one during review: search the final PDF for leftover "anonymous," placeholder ORCIDs, and dead anonymized URLs before upload.
Issue placement and timing
Because each round feeds its own PACMMOD issue, your publication date is set by the round you cleared, not by the conference week. A Round 1 acceptance can be citable in the ACM DL long before the conference convenes (SIGMOD 2027: June 13–19, 2027, Huntington Beach, California). Plan announcements, preprint updates, and artifact releases against the issue date, and registration, travel, and talk preparation against the conference date.
Post-acceptance checklist
[ ] PACMMOD-format PDF compiles clean; all floats re-inspected post-port
[ ] Accepted-version wording preserved where the revision letter promised it
[ ] Author block, funding, acknowledgements restored and proofread
[ ] ACM rights form, ORCIDs, and DL metadata submitted
[ ] Public artifact repository live, licensed, README-tested from outside
[ ] ARI participation decided; artifact frozen at the paper's claims
[ ] Conference registration and presenting-author travel confirmed
[ ] Talk and poster drafted against the published, not submitted, numbersShow full SKILL.md (271 more words)Show less
Artifact and ARI handoff
Camera-ready is the natural moment to convert the anonymized review-time package into the public artifact:
- Publish the repository under its real organization with a license, a pinned environment, and the exact scripts behind every figure.
- If joining the Availability & Reproducibility Initiative, freeze a tagged
release that matches the published numbers — evaluators reproduce the
paper, not the current main branch (see
sigmod-artifact-evaluation). - Embed the artifact URL in the final PDF so the DL version is self-locating; ARI badges, if earned, attach to that same DL record.
Concrete timeline: a Round 1 acceptance
Trace the SIGMOD 2027 Round 1 path to see the two clocks diverge:
- Jan 17, 2026 — paper submitted.
- Apr 19 or Jun 12, 2026 — acceptance (direct, or after revision).
- Following weeks — PACMMOD port, rights forms, metadata; the Round 1 issue publishes on the journal's schedule.
- Summer/fall 2026 — paper citable in the ACM DL; artifact public; ARI participation window per the current edition.
- Jun 13-19, 2027 — the talk, up to a year after the science was public.
Teams routinely under-use the gap: it is enough time to earn an ARI badge, gather adoption or feedback, and walk into the conference presenting a paper with a track record rather than a debut.
Failure modes at this stage
- Porting to PACMMOD format on deadline night and shipping a clipped figure nobody re-checked.
- Quietly "improving" a result during the port and breaking agreement with the version reviewers accepted.
- Announcing the paper with a repository that still 404s or carries the anonymized placeholder name.
- Treating the conference date as the publication date and missing the earlier issue-level metadata deadlines.
Output format
[Port status] not started / converted / verified post-conversion
[Fidelity check] accepted-version wording preserved yes/no, diffs listed
[Identity restore] author block / funding / acknowledgements / links
[ACM pipeline] rights form, ORCID, metadata state
[Artifact handoff] public repo state, ARI decision, tagged release
[Presentation track] registration, presenter, talk-material state© 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 SIGMOD-Skills/skills/sigmod-camera-ready of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Sigmod 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 |
|---|---|---|---|---|---|---|
| Sigmod Camera Ready this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | 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 | |
| Peer Reviewspacering-net/codeg | 3.9k | 17 repos | ~5.9k | 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.
Peer Review
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
Last30days
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
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 Sigmod Camera Ready
What does Sigmod Camera Ready do?
A skill your agent uses when converting an accepted SIGMOD research paper into its PACMMOD journal version, covering the port from the ACM submission template to PACMMOD format, de-anonymization…. Sigmod Camera Ready is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when converting an accepted SIGMOD research paper into its PACMMOD journal version, covering the port from the ACM submission template to PACMMOD format, de-anonymization, per-round issue placement, ACM DL metadata, conference presentation logistics, and the post-acceptance artifact and ARI handoff.
When should I use Sigmod Camera Ready?
Sigmod Camera Ready fits situations like: converting an accepted SIGMOD research paper into its PACMMOD journal version; covering the port from the ACM submission template to PACMMOD format; de-anonymization; per-round issue placement.
How do I install Sigmod Camera Ready in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-camera-ready -a claude-code`. Or copy the skill folder (SIGMOD-Skills/skills/sigmod-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/sigmod-camera-ready in your project. Claude Code loads it when a task matches its description.
How do I install Sigmod Camera Ready in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-camera-ready -a codex`. Or copy the skill folder (SIGMOD-Skills/skills/sigmod-camera-ready in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/sigmod-camera-ready in your project. Codex loads it when a task matches its description.
Can I use Sigmod 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 sigmod-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/sigmod-camera-ready, .gemini/skills/sigmod-camera-ready, .github/skills/sigmod-camera-ready and .opencode/skills/sigmod-camera-ready in your project.
What does Sigmod Camera Ready need to run?
SKILL.md names no scripts, command-line tools or credentials: Sigmod Camera Ready is instructions for the agent only.
Does Sigmod 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 Sigmod 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 Sigmod Camera Ready use?
Sigmod 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 Sigmod Camera Ready use?
About 1.4k tokens (SKILL.md is roughly 5.7k 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 Sigmod Camera Ready?
Skills that share tags, products or a category with Sigmod 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 Sigmod 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.