Agent Skillsopensquilla/opensquilla › paper-preference-planner

paper-preference-planner

GitHub

从用户请求中提取论文写作偏好,决定直接生成或引导式采访。输出标准化偏好简报,包括主题、受众、风格等,支持保守默认值与缺失问题列表,确保后续研究起草流程顺畅。

src/opensquilla/skills/bundled/paper-preference-planner/SKILL.md opensquilla/opensquilla

Trigger Scenarios

用户请求生成学术论文 用户要求先讨论细节再写作 未指定具体偏好需采用默认设置

Install

npx skills add opensquilla/opensquilla --skill paper-preference-planner -g -y
More Options

Non-standard path

npx skills add https://github.com/opensquilla/opensquilla/tree/main/src/opensquilla/skills/bundled/paper-preference-planner -g -y

Use without installing

npx skills use opensquilla/opensquilla@paper-preference-planner

指定 Agent (Claude Code)

npx skills add opensquilla/opensquilla --skill paper-preference-planner -a claude-code -g -y

安装 repo 全部 skill

npx skills add opensquilla/opensquilla --all -g -y

预览 repo 内 skill

npx skills add opensquilla/opensquilla --list

SKILL.md

Frontmatter
{
    "name": "paper-preference-planner",
    "provenance": {
        "origin": "opensquilla-original",
        "license": "Apache-2.0"
    },
    "description": "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."
}

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>
MUST_INCLUDE:
- <requirements the paper must include>
AVOID:
- <things to avoid>
QUESTIONS_FOR_USER:
- <question that would refine the paper if the user asked for an interview; otherwise "none">
DEFAULTS_USED:
- <default chosen because the user did not specify it>

Hard rules

  • do not invent preferences that conflict with the user request.
  • do not invent preferences just to make the request look detailed; record defaults under DEFAULTS_USED.
  • If the user asks to discuss details first, include concise questions under QUESTIONS_FOR_USER, then provide safe defaults so direct generation can still continue in this DAG.
  • Keep the output as a preference brief only; do not draft the paper.
  • Reply with the preference brief only; no preamble, no Markdown fences.

Version History

  • 7f72a32 Current 2026-07-05 18:39

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