pubar-topic-selection
Use when deciding whether a public-administration project fits Public Administration Review (PAR) and which article type to target. PAR is the practice-bridging ASPA flagship, so the test is dual — a scholarly advance AND a credible "so-what" for public managers. Helps frame the question; it does not collect data.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-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.
# Topic Selection & Fit (pubar-topic-selection) PAR is the **flagship of the American Society for Public Administration** and is explicitly designed to **bridge research and practice**. The bar is not "new to my subfield" alone — it is **"advances PA scholarship *and* speaks to practitioners."** Use this skill to pressure-test fit before you invest. ## When to trigger - Choosing among possible pro
What does the pubar-topic-selection skill do?
Use when deciding whether a public-administration project fits Public Administration Review (PAR) and which article type to target. PAR is the practice-bridging ASPA flagship, so the test is dual — a scholarly advance AND a credible "so-what" for public managers. Helps frame the question; it does not collect data.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill pubar-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.