Judge
NeoLabHQ/context-engineering-kit
Launch a meta-judge then a judge sub-agent to evaluate results produced in the current conversation
A skill your agent uses when judging whether a project belongs at SIGMOD's research track, comparing it against PVLDB's rolling model, ICDE, PODS, KDD, CIDR, and TODS, weighing the industrial track…
MITAuto-check passed
Install Sigmod Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmod-topic-selection --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-topic-selection .claude/skills/sigmod-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-topic-selection into .claude/skills/sigmod-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-topic-selection", 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-topic-selectionType 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-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmod-topic-selection --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-topic-selection .agents/skills/sigmod-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-topic-selection into .agents/skills/sigmod-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-topic-selection", 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-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmod-topic-selection --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-topic-selection .cursor/skills/sigmod-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-topic-selection into .cursor/skills/sigmod-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-topic-selection", 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-topic-selection--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-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills sigmod-topic-selection --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-topic-selection .gemini/skills/sigmod-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-topic-selection into .gemini/skills/sigmod-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-topic-selection", 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-topic-selectionInstalls 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-topic-selection -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-topic-selection .github/skills/sigmod-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-topic-selection into .github/skills/sigmod-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-topic-selection", 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-topic-selection -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-topic-selection --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-topic-selection .opencode/skills/sigmod-topic-selection && 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-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SIGMOD-Skills/skills/sigmod-topic-selection into .opencode/skills/sigmod-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sigmod-topic-selection", 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-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.5k tokens
- SKILL.md length
- 680 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when judging whether a project belongs at SIGMOD's research track, comparing it against PVLDB's rolling model, ICDE, PODS, KDD, CIDR, and TODS, weighing the industrial track…
- Judging whether a project belongs at SIGMODs research track
- SKILL.md covers The core fit question, Neighbor-venue decision table, SIGMOD vs. PVLDB: same field,… and Research vs. industrial track, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Comparing it against PVLDBs rolling model
What it does
Sigmod Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when judging whether a project belongs at SIGMOD's research track, comparing it against PVLDB's rolling model, ICDE, PODS, KDD, CIDR, and TODS, weighing the industrial track for deployment papers, and testing whether the contribution is genuinely a data-management result rather than an application that touches data.
Its SKILL.md is about 1.5k 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.
When your agent uses it
- Judging whether a project belongs at SIGMODs research track
- Comparing it against PVLDBs rolling model
- Weighing the industrial track for deployment papers
- Testing whether the contribution is genuinely a data-management result rather than an application that touches data
Example prompts
- “s research track, comparing it against PVLDB”
- “/sigmod-topic-selection”
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 Topic Selection loads about 1.5k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 680 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). 680 words, ~1,455 tokens.
Download SKILL.mdSave it as
.claude/skills/sigmod-topic-selection/SKILL.md (or your agent's skills folder).- name
- sigmod-topic-selection
- description
- Use when judging whether a project belongs at SIGMOD's research track, comparing it against PVLDB's rolling model, ICDE, PODS, KDD, CIDR, and TODS, weighing the industrial track for deployment papers, and testing whether the contribution is genuinely a data-management result rather than an application that touches data.
SIGMOD Topic Selection
SIGMOD's research track wants contributions to data management — storage, query processing, transactions, data integration, systems for and with ML, data engineering at scale — where the advance would matter to someone building or theorizing a data system. The commonest misroute is the application paper that uses databases heavily but advances only its application. Run the fit test before any writing investment.
The core fit question
State the contribution in one sentence and inspect the direct object. "We make query optimization better under X" is SIGMOD-shaped. "We make fraud detection better using a database" is not, unless the fraud workload forced a reusable data-management technique — in which case that technique is the paper.
Neighbor-venue decision table
| Signal in the project | Better home | Why |
|---|---|---|
| Data-management advance, evaluation ready now | SIGMOD round or PVLDB | Pick by calendar and model, below |
| Formal semantics, complexity, lower bounds | PODS | Co-located theory sibling with its own PC |
| Mining/ML method where data infra is incidental | KDD or an ML venue | SIGMOD PCs route these out fast |
| Provocative architecture vision, thin evaluation | CIDR | Evidence bar differs by design |
| Deployed-system experience, lessons, scale war stories | SIGMOD industrial track | Needs ≥1 non-academic author; separate CFP |
| Mature line needing definitive long-form treatment | TODS | Journal pace; also invites best SIGMOD papers |
| Broad data-engineering result, DB framing weak | ICDE | Same community, different flagship |
SIGMOD vs. PVLDB: same field, different machinery
The two flagships overlap almost completely in scope; the choice is mechanical, and worth making deliberately:
- Cadence: SIGMOD batches quarterly rounds into PACMMOD issues; PVLDB accepts monthly on a rolling basis into the year's volume.
- Failure cost: a SIGMOD rejection locks the track for 12 months; PVLDB's monthly gate makes retry geometry different — check its current resubmission rules rather than assuming symmetry.
- Revision shape: both use journal-style revisions now; the calendars and letter mechanics differ by cycle.
- Practical rule: with a result ready in week X, compute time-to-first- verdict at each venue's next gate and weigh it against where the work's nearest neighbors have been landing recently.
Research vs. industrial track
If the contribution's strength is that it runs in production — scale, operational lessons, design retrospectives of a shipped engine — the industrial track evaluates it on those terms, while the research track would demand novelty the deployment story may not carry. Requirements differ (non-academic co-author, separate deadline calendar, own PC), and the SIGMOD 2027 industrial CFP was not yet posted as of 2026-07-08 — verify before planning around it.
Show full SKILL.md (274 more words)Show less
Fit-sharpening moves
- Name the data-management primitive touched: an index, an optimizer rule, a consistency protocol, a storage layout, a data-cleaning operator. No primitive, no research-track paper.
- Check the current CFP's topics list; scope wording shifts by cycle, and ML-for-systems / systems-for-ML emphasis has been growing.
- Probe generality: does the technique survive outside your prototype? A PC of engine builders will ask "would this help Postgres/RocksDB/ Spark," concretely.
- Read the last two PACMMOD issues in your area; if nothing there shares your problem statement, either you found a gap or you found a fit problem — decide which with evidence.
Reading the venue's current appetite
Beyond the CFP's topic list, three observable signals calibrate fit:
- Scan the most recent PACMMOD issue's table of contents: the distribution of storage vs. query vs. ML-adjacent vs. data-integration papers is the revealed preference of the current PC structure.
- Award choices telegraph values — the Test-of-Time lineage (see
resources/exemplars/library.md) consistently honors work that changed what systems do, not what benchmarks report. - Keynote and tutorial themes at the last edition mark where the community believes its frontier is; a paper swimming with that current gets read more generously than the CFP text alone predicts.
Quick probe: title your paper, then find five PACMMOD/PVLDB papers from
the last two years that would cite it. Cannot name five -> the fit
problem is upstream of the writing.One project, routed three ways
A fictional team builds learned cardinality estimation into a production cloud optimizer. Three legitimate papers hide inside: the estimation technique with guarantees and controlled evaluation (SIGMOD research or PVLDB); the deployment retrospective with fleet-scale lessons (SIGMOD industrial); the formal analysis of when learned estimators can beat histograms (PODS). Shipping all three as one manuscript serves none of the three PCs — and PACMMOD's overlap rule means the split must be genuine, with disjoint results.
Output format
[Fit verdict] research track / industrial track / neighbor venue
[Primitive] the data-management object the paper advances
[One-sentence claim] with the direct object underlined
[Venue race] time-to-verdict SIGMOD round vs. PVLDB gate
[Split risk] salami-slicing vs. legitimate multi-paper plan
[Next step] write / re-scope / re-route, with rationale© 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-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Sigmod Topic Selection 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 Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| JudgeNeoLabHQ/context-engineering-kit | 1.7k | — | ~2k | Automated safety check: Pass | GPL-3.0 | |
| Do And JudgeNeoLabHQ/context-engineering-kit | 1.7k | — | ~14k | Automated safety check: Pass | GPL-3.0 | |
| TopicsZimoLiao/scholaraio | 576 | — | ~294 | Automated safety check: Pass | MIT | |
| Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Bestblogs Topicginobefun/BestBlogs | 4k | — | ~670 | Automated safety check: Pass | None |
Similar skills
Do And Judge
NeoLabHQ/context-engineering-kit
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
Topics
ZimoLiao/scholaraio
A skill your agent uses when the user asks about research themes, topic distribution, BERTopic clustering, topic overview, topic papers, topic merges, or HTML topic visualizations.
Topic Modeling
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Bestblogs Topic
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Zsxq Topic
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知识星球主题管理：搜索主题、查看主题详情、发布帖子、编辑主题、发表评论、回复某条评论（楼中楼）、回答提问、删除主题；通过 api call 查看主题评论列表、设置精华、设置标签、查看自己提的问题与已回答记录。当用户需要查找内容、发帖、编辑主题、评论、回复评论、回答问题、删除主题、查看主题评论、查看自己的提问记录、或管理主题精华和标签时使用。
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Questions about Sigmod Topic Selection
What does Sigmod Topic Selection do?
A skill your agent uses when judging whether a project belongs at SIGMOD's research track, comparing it against PVLDB's rolling model, ICDE, PODS, KDD, CIDR, and TODS, weighing the industrial track…. Sigmod Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when judging whether a project belongs at SIGMOD's research track, comparing it against PVLDB's rolling model, ICDE, PODS, KDD, CIDR, and TODS, weighing the industrial track for deployment papers, and testing whether the contribution is genuinely a data-management result rather than an application that touches data.
When should I use Sigmod Topic Selection?
Sigmod Topic Selection fits situations like: judging whether a project belongs at SIGMODs research track; comparing it against PVLDBs rolling model; weighing the industrial track for deployment papers; testing whether the contribution is genuinely a data-management result rather than an application that touches data.
How do I install Sigmod Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-topic-selection -a claude-code`. Or copy the skill folder (SIGMOD-Skills/skills/sigmod-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/sigmod-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Sigmod Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-topic-selection -a codex`. Or copy the skill folder (SIGMOD-Skills/skills/sigmod-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/sigmod-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Sigmod Topic Selection 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-topic-selection -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-topic-selection, .gemini/skills/sigmod-topic-selection, .github/skills/sigmod-topic-selection and .opencode/skills/sigmod-topic-selection in your project.
What does Sigmod Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Sigmod Topic Selection is instructions for the agent only.
Does Sigmod Topic Selection 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 Topic Selection 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 Topic Selection use?
Sigmod Topic Selection 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 Topic Selection use?
About 1.5k tokens (SKILL.md is roughly 5.8k 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 Topic Selection?
Skills that share tags, products or a category with Sigmod Topic Selection: Judge (NeoLabHQ/context-engineering-kit, 1.7k stars), Do And Judge (NeoLabHQ/context-engineering-kit, 1.7k stars), Topics (ZimoLiao/scholaraio, 576 stars) and Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Sigmod Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.