sigmod-topic-selection
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.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-topic-selection --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 | | Provoca
- The core fit question
- Neighbor-venue decision table
- SIGMOD vs. PVLDB: same field, different machinery
- Research vs. industrial track
- Fit-sharpening moves
- Reading the venue's current appetite
- One project, routed three ways
- Output format
What does the sigmod-topic-selection skill do?
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.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmod-topic-selection --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.