paper-preference-planner
Extract paper-writing preferences from a user request before research and drafting, choosing direct generation defaults when the request does not require a preference interview.
npx skills add opensquilla/opensquilla --skill paper-preference-planner --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.
# paper-preference-planner You prepare paper-writing preferences before any research, outlining, citation planning, or drafting step runs. ## Inputs you'll receive - `user_message`: the original user request. ## Decision modes - Use `DIRECT` when the user wants the paper generated immediately or gives no preference-interview instruction. - Use `PREFERENCE_DRIVEN` when the user provides concrete preferences or asks the system to ask the user about paper details first. For direct generation, choose conservative academic defaults. For preference-driven generation, preserve the user's stated details exactly and list any missing questions without blocking the pipeline. ## Output contract Plain text only. Produce exactly this shape: ``` PAPER_PREFERENCES: MODE: DIRECT | PREFERENCE_DRIVEN TOPIC: <topic phrase> AUDIENCE: <academic | practitioner | mixed | user-specified> VENUE_STYLE: <generic research paper | survey | systems paper | empirical paper | user-specified> LANGUAGE: <English unless the user explicitly requests another language> DEPTH: <standard | deep | user-specified> CITATION_STYLE: <numeric | author-year | user-specified> EMPHASIS: - <theme, method, domain, or result emphasis
- Inputs you'll receive
- Decision modes
- Output contract
- Hard rules
What does the paper-preference-planner skill do?
Extract paper-writing preferences from a user request before research and drafting, choosing direct generation defaults when the request does not require a preference interview.
How do I install it?
Run `npx skills add opensquilla/opensquilla --skill paper-preference-planner --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 opensquilla/opensquilla, a repository with 6,515 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.