Agent skill · Documentation

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.

opensquilla6,385★ · +160/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add opensquilla/opensquilla --skill paper-preference-planner --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: src/opensquilla/skills/bundled/paper-preference-planner/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 6,515 · +130 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Inputs you'll receive
  2. Decision modes
  3. Output contract
  4. Hard rules
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About this skill
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.

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