asplos-topic-selection
Use when deciding whether a project belongs at ASPLOS or at a single-community venue — applying the cross-layer deletion test, matching against ASPLOS's architecture/PL/OS intersection identity, routing to ISCA/MICRO/HPCA, PLDI/POPL, SOSP/OSDI/EuroSys, SC, or MLSys instead, and choosing between the April and September deadlines.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asplos-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.
# ASPLOS Topic Selection ASPLOS's self-description is unusually operational: it seeks work that improves the core disciplines — operating systems, programming languages, computer architecture — **and their intersection**, and its 2027 rapid-review round explicitly prioritizes submissions at that intersection (CFP, checked 2026-07-08). Venue fit is therefore not a prestige question here; it is a sc
What does the asplos-topic-selection skill do?
Use when deciding whether a project belongs at ASPLOS or at a single-community venue — applying the cross-layer deletion test, matching against ASPLOS's architecture/PL/OS intersection identity, routing to ISCA/MICRO/HPCA, PLDI/POPL, SOSP/OSDI/EuroSys, SC, or MLSys instead, and choosing between the April and September deadlines.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill asplos-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.