sigmetrics-topic-selection
Use when deciding whether a computer-systems performance project belongs at ACM SIGMETRICS or should be routed to IMC, SIGCOMM/NSDI/OSDI, INFOCOM, a learning venue (NeurIPS/ICML), or a performance journal (Performance Evaluation/TON/QUESTA), and when picking the right SIGMETRICS track (Theory / Measurement & Applied Modeling / Learning / Operational Systems).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-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.
# SIGMETRICS Topic Selection Decide the venue and track before drafting. SIGMETRICS — the ACM flagship for **performance measurement, modeling, and evaluation of computer systems** — rewards a **rigorous performance-evaluation contribution**: a stochastic/queueing model with a **proven bound**, a **principled measurement study**, or a **learning-for-systems** algorithm with guarantees. A technically strong paper whose real lesson is a *built system* (route to NSDI/OSDI), a *pure network measurement* (route to IMC), or a *learning-theory result with no systems payoff* (route to NeurIPS/COLT) is respected and then rejected as out of scope. ## The routing question that matters most The decisive question is rarely "is this about systems performance?" but **"is the contribution an analyzed/measured performance result, or is it something else with performance numbers attached?"** SIGMETRICS wants the *why* — a model, a proof, a validated methodology — not only a faster system or a bigger dataset. ## Sibling-venue routing table | Signal in your project | Better home | Why | |---|---|---| | A model/policy with a **proven performance bound**, or a principled measurement/modeling study | **A
- The routing question that matters most
- Sibling-venue routing table
- Contribution shapes SIGMETRICS rewards
- The rigor and validation tests
- Picking the track (do this at abstract registration)
- Cheap reconnaissance before committing
- Decision procedure
What does the sigmetrics-topic-selection skill do?
Use when deciding whether a computer-systems performance project belongs at ACM SIGMETRICS or should be routed to IMC, SIGCOMM/NSDI/OSDI, INFOCOM, a learning venue (NeurIPS/ICML), or a performance journal (Performance Evaluation/TON/QUESTA), and when picking the right SIGMETRICS track (Theory / Measurement & Applied Modeling / Learning / Operational Systems).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill sigmetrics-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 984 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.