prl-results-framing
Use when a Physical Review Letters result is correct but its central claim and broad significance are not yet sharp. Structures the one-claim narrative; does not run analysis or design figures.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill prl-results-framing --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.
# PRL Results Framing (prl-results-framing) ## When to trigger - You have the data/derivation but the "so what" is fuzzy - The draft reads like a chronological lab report, not a single argument - You have several findings and have not chosen the headline one - The opening paragraph buries the result under background - `prl-scope-fit` returned PRL but flagged the breadth framing as weak ## The one-claim discipline A Letter makes **one** central claim. Everything else is support. Decide the headline result first; demote the rest to corroboration or to Supplemental Material. - **Primary claim** — the single sentence the title and abstract both encode. - **Supporting claims** — at most two, and only if they reinforce the primary one. - **Everything else** — context, controls, extended sweeps → Supplemental Material (see `prl-supplementary`). If you have two equally important claims, you likely have two papers, or one belongs in a specialized PR journal. ## The opening (first paragraph carries the gate) PRL openings are short and front-load significance. A reliable four-move pattern: 1. **The general physics context** — one or two sentences a non-specialist physicist understands. 2. **T
- When to trigger
- The one-claim discipline
- The opening (first paragraph carries the gate)
- Framing decision branches
- Abstract craft
- Checklist
- Anti-patterns
- Output format
What does the prl-results-framing skill do?
Use when a Physical Review Letters result is correct but its central claim and broad significance are not yet sharp. Structures the one-claim narrative; does not run analysis or design figures.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill prl-results-framing --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.