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paper-polish-workflow纸张抛光工作流程

Agent Skill

paper-polish-workflow 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

941

周安装

40

GitHub Stars

280

下载量

330
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:paper-polish-workflow(纸张抛光工作流程)
来源仓库:https://github.com/lylll9436/paper-polish-workflow-skill
仓库路径:skills/paper-polish-workflow
安装命令:
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill paper-polish-workflow
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/lylll9436/paper-polish-workflow-skill --skill paper-polish-workflow

简介

paper-polish-workflow 用于处理 GitHub 仓库、Issue 和 Pull Request 等协作信息。

  • 适合在项目开发中跟踪代码变更、维护状态或协调团队事项。
  • 通过 GitHub 安装,使用 npx skills add 命令集成到宿主环境。
  • 注意该工具可能涉及仓库读取权限,需确保操作符合最小权限原则。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Purpose

This Skill provides a systematic, top-down workflow for polishing academic papers. It works from structure to logic to expression, with user confirmation at each decision point. Expression options are drawn from reference-driven academic patterns rather than ad hoc rewrites, ensuring professional and consistent output suitable for journal submission.

Trigger

Activates when the user asks to:

  • Polish, revise, or improve an academic paper section by section
  • 润色、精修、逐步改进学术论文

Example invocations:

  • "Polish my paper section by section" / "润色论文"
  • "Help me revise my introduction step by step" / "精修论文"
  • "Guide me through polishing this draft" / "帮我逐步润色这篇论文"

Modes

ModeDefaultBehavior
interactiveYesFull 4-step flow with user confirmation at each decision point
guidedMulti-pass with confirmation at key checkpoints only
directSingle-pass polish using defaults; skip AskUserQuestion
batchSame operation applied across multiple sections sequentially

Default mode: interactive

Mode inference: "quickly" or "just fix" switches to direct. "step by step" or "逐步" confirms interactive (already default).

References

Required (always loaded)

FilePurpose
references/expression-patterns.mdAcademic expression patterns overview and module index

Leaf Hints (loaded when needed)

FileWhen to Load
references/expression-patterns/introduction-and-gap.mdPolishing introduction or background content
references/expression-patterns/methods-and-data.mdPolishing methods, data, or study area content
references/expression-patterns/results-and-discussion.mdPolishing results or discussion content
references/expression-patterns/conclusions-and-claims.mdPolishing conclusion content
references/expression-patterns/geography-domain.mdContent involves spatial, urban, or planning topics
references/anti-ai-patterns.mdPolishing expression (Step 3) -- screen for AI-sounding phrases
references/journals/ceus.mdTarget journal is CEUS

Loading Rules

  • Load expression patterns overview at start; select the appropriate leaf based on section type.
  • Load anti-AI patterns when polishing expression (Step 3).
  • Load journal template when target journal is specified.
  • Load geography-domain.md when spatial, urban, or planning content is detected.
  • If a reference file is missing, warn the user and proceed with reduced capability.

Ask Strategy

Before starting, ask about:

  1. Target journal (if not already known)
  2. Which section to work on
  3. Preferred mode (if ambiguous from trigger)

Rules:

  • Never ask more than 3 questions before producing initial output.
  • In direct mode, skip pre-questions if the user provided enough context.
  • In batch mode, skip per-item questions; apply settings from the first item.
  • Use Structured Interaction when available; fall back to plain-text questions otherwise.
  • See skill-conventions.md > AskUserQuestion Enforcement for full rules.

Workflow

Step 1: Collect Context

  • Determine input type (file path or pasted text).
  • Load required references (expression-patterns overview).
  • Identify target journal; load journal template if specified.
  • Read input content using the Read tool; extract key numbers, claims, and data points.
  • Locate example/reference papers if the user provides them (use Read tool for PDFs).
  • In interactive or guided mode: confirm scope with the user before proceeding.

Step 2: Structure & Logic Confirmation

  • Analyze section macro structure (e.g., Abstract = Background + Gap + Method + Results + Contribution).
  • Present a structure table for user confirmation.
  • Break content into sentences; assign a logic function to each.
  • Present the logic chain for user confirmation.
  • Checkpoint: user confirms structure and logic before expression work begins.
  • In direct mode: run structure and logic analysis internally, proceed to Step 3 automatically.

Step 3: Expression Polish & Consistency

  • Load the section-appropriate expression pattern leaf and anti-AI patterns.
  • For each sentence with expression issues, present 2-3 options via AskUserQuestion (interactive mode) or apply the best option automatically (direct mode).
AskUserQuestion({
  question: "Which expression do you prefer for [sentence function]?",
  options: [
    { label: "[Expression A]", description: "[full sentence with expression A]" },
    { label: "[Expression B]", description: "[full sentence with expression B]" },
    { label: "[Expression C]", description: "[full sentence with expression C]" }
  ]
})
  • Reference paper consultation: when the user questions professionalism, use the Read tool to load example papers and extract expression patterns.
  • Journal style check: apply journal-specific requirements from the loaded template.
  • Repetition and coherence pass: check for repeated expressions and missing transitions; suggest fixes.
  • Cross-section consistency: verify numbers, terminology, and claims across sections.

Step 4: Output

  • Generate highlights if the journal requires them (for CEUS, see references/journals/ceus.md).
  • Suggest a read-aloud final check to catch awkward phrasing.
  • Compile all confirmed content into the final version.
  • Present the final version with word count for user confirmation.
  • Write to *_polished.md after confirmation (or automatically in batch mode).
  • Report word count and any journal constraint notes.

Output Contract

OutputFormatCondition
polished_textMarkdown file (*_polished.md) or conversation outputAlways produced
change_summaryMarkdown in sessionAlways produced
Word countIntegerAlways reported
Journal compliance notesBullet listWhen a target journal is specified

Edge Cases

SituationHandling
Unprofessional word flaggedPresent 2-3 alternatives via AskUserQuestion; accept if user insists
Section too long for single passSplit into paragraph-level sub-passes; maintain cross-paragraph coherence
No journal specifiedDefault to general academic style; note in output
Mixed language inputDetect dominant language; ask user to confirm target language
Reference paper provided as PDFUse Read tool to load PDF; extract style patterns for expression matching
Abrupt sentence transitionProvide transition options via AskUserQuestion
Repetition detected between sectionsIdentify repeated content; suggest which occurrence to rephrase
Logic structure needs modificationReturn to Step 2 to re-confirm structure before continuing

Fallbacks

ScenarioFallback
Structured Interaction unavailableAsk 1-3 plain-text questions covering highest-impact gaps; do not block workflow
Reference file missingLog the missing file, proceed with reduced capability, warn the user
Target journal not specifiedAsk once; if declined, use general academic style
PDF reference paper unreadableAsk user to paste relevant excerpts instead

*Skill: paper-polish-workflow* *Conventions: references/skill-conventions.md*

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.85%
按下载量换算115

Claude

32.24%
按下载量换算106

Cursor

20.93%
按下载量换算69

Gemini CLI

9.58%
按下载量换算32

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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