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q-scholar

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Q-Scholar: Academic Manuscript Writing Suite

Q-Scholar：学术手稿写作套件

Q-Scholar is an overarching academic writing skill that orchestrates specialized sub-skills to support the complete manuscript preparation workflow. It produces journal-ready prose following APA 7th edition standards.
Q-Scholar是一个综合性学术写作技能，它整合了多个专项子技能，为完整的手稿准备工作流提供支持。它遵循APA第7版标准，生成可直接投稿期刊的文稿。

Sub-Skills

子技能

q-intro

q-intro

Introduction drafting and refinement with argumentative architecture guidance. Supports two modes: interview-based drafting from scratch, and diagnostic refinement of existing drafts. Produces flowing prose that establishes context through a single narrative arc, identifies literature gaps as natural consequences of the trajectory, motivates theoretical frameworks as resolutions to identified needs, and frames research questions with clear scope progression.
Use for: Writing or refining introduction sections that move from phenomenon to theory to empirical contribution, with discipline-first literature grounding, cross-paragraph bridge architecture, and enumerated contributions.
引言撰写与优化，提供论证架构指导。支持两种模式：基于访谈的从零开始撰写，以及对现有文稿的诊断式优化。生成流畅的文本，通过单一叙事弧建立研究背景，将文献空白作为该叙事轨迹的自然延伸，将理论框架定位为已识别需求的解决方案，并以清晰的范围递进方式提出研究问题。
适用场景：撰写或优化引言部分，实现从现象到理论再到实证贡献的过渡，以学科优先的文献为基础，构建跨段落衔接架构，并明确列举研究贡献。

q-descriptive-analysis

q-descriptive-analysis

Comprehensive exploratory analysis of tabular datasets. Generates grouped statistics, frequency distributions, entity extraction, temporal dynamics, and publication-ready summary reports.
Use for: Initial data exploration, descriptive statistics generation, understanding dataset structure before formal analysis.
针对表格数据集的全面探索性分析。生成分组统计数据、频率分布、实体提取、时间动态分析，以及可直接用于发表的总结报告。
适用场景：初始数据探索、描述性统计生成、正式分析前了解数据集结构。

q-methods

q-methods

Methods section drafting in clear, narrative style. Produces flowing paragraphs organized by workflow stages with appropriate appendix cross-references for technical details. Maintains strict separation between methods and results: describes procedures and summarizes data collected, but reserves analysis findings for the results section.
Use for: Writing data collection, preprocessing, analysis procedures, validation descriptions, and corpus summaries (sample size, date range, category distributions).
以清晰的叙事风格撰写方法部分。生成按工作流阶段组织的流畅段落，并为技术细节添加适当的附录交叉引用。严格区分方法与结果：描述研究流程并总结收集的数据，但将分析发现留到结果部分呈现。
适用场景：撰写数据收集、预处理、分析流程、验证说明，以及语料库摘要（样本量、时间范围、类别分布）。

q-results

q-results

Results section drafting following APA 7th edition guidelines. Produces narrative prose organized by research questions with properly formatted tables.
Use for: Presenting findings, formatting statistical results, creating APA-compliant tables.
遵循APA第7版指南撰写结果部分。生成按研究问题组织的叙事文本，并搭配格式规范的表格。
适用场景：呈现研究发现、格式化统计结果、创建符合APA规范的表格。

Workflow Integration

工作流整合

Phase 1: Data Exploration

阶段1：数据探索

Invoke q-descriptive-analysis to:
  • Generate comprehensive descriptive statistics
  • Identify patterns and distributions
  • Create CSV tables and markdown summaries
  • Understand grouping variables and key metrics
调用q-descriptive-analysis以：
  • 生成全面的描述性统计数据
  • 识别数据模式与分布
  • 创建CSV表格和Markdown摘要
  • 理解分组变量与关键指标

Phase 2: Introduction Drafting

阶段2：引言撰写

Invoke q-intro to:
  • Draft from scratch via interview workflow, or refine existing drafts via diagnostic workflow
  • Ground literature in target discipline's core concerns with narrative-arc progression
  • Motivate theoretical frameworks as resolutions to identified gaps
  • Frame research questions with scope progression (descriptive, relational, conditional)
  • State contributions with parallel structure and provide article roadmap
调用q-intro以：
  • 通过访谈工作流从零开始撰写，或通过诊断工作流优化现有文稿
  • 以目标学科的核心关注点为基础，构建叙事弧递进的文献背景
  • 将理论框架定位为已识别空白的解决方案
  • 以范围递进（描述性、关联性、条件性）的方式提出研究问题
  • 以平行结构陈述研究贡献，并提供文章路线图

Phase 3: Methods Documentation

阶段3：方法文档撰写

Invoke q-methods to:
  • Document data collection procedures and corpus summaries
  • Describe analytical approaches conceptually
  • Reference technical details to appendices
  • Include validation procedures
  • Keep methods separate from results (procedures, not findings)
调用q-methods以：
  • 记录数据收集流程与语料库摘要
  • 从概念层面描述分析方法
  • 为技术细节添加附录引用
  • 包含验证流程
  • 严格区分方法与结果（仅描述流程，不呈现发现）

Phase 4: Results Presentation

阶段4：结果呈现

Invoke q-results to:
  • Organize findings by research questions
  • Write narrative prose integrating statistics
  • Format tables per APA 7th edition
  • Prepare appendices for detailed content
调用q-results以：
  • 按研究问题组织研究发现
  • 撰写整合统计数据的叙事文本
  • 按APA第7版格式格式化表格
  • 准备包含详细内容的附录

Core Writing Principles

核心写作原则

Across all sub-skills, Q-Scholar maintains consistent standards:
  1. Narrative prose over bullet points
  2. No em-dashes; use hyphens for compound modifiers only
  3. No unnecessary bold or italic emphasis
  4. APA 7th statistical notation (italicized symbols)
  5. Numbers: spell out below 10 unless measurements/statistics
  6. Tables: APA format with number, title, notes
  7. Appendices for technical details and comprehensive codebooks
  8. Placeholders for missing information (coauthor contributions, pending metrics)
所有子技能均遵循一致的Q-Scholar标准：
  1. 使用叙事文本而非项目符号
  2. 不使用长破折号；仅在复合修饰语中使用短破折号
  3. 不使用不必要的粗体或斜体强调
  4. 采用APA第7版统计符号规范（符号斜体）
  5. 数字规则：10以下的数字拼写完整，除非是测量值/统计数据
  6. 表格：采用APA格式，包含编号、标题和注释
  7. 技术细节与完整代码手册放入附录
  8. 为缺失信息添加占位符（如合著者贡献、待确定指标）

Usage Patterns

使用模式

Full Manuscript Support

全手稿支持

User: Help me write the introduction, methods, and results for my topic modeling study
Assistant: [Invokes q-intro, q-methods, then q-results in sequence]
用户：帮我写主题建模研究的引言、方法和结果部分
助手：[依次调用q-intro、q-methods和q-results]

Targeted Section Drafting

针对性章节撰写

User: Draft an introduction for my paper on esports legitimacy
Assistant: [Invokes q-intro with interview workflow]
用户：帮我起草一篇关于电竞合法性的论文引言
助手：[调用q-intro并使用访谈工作流]

Data Exploration First

先进行数据探索

User: I have a new dataset and need to understand it before writing
Assistant: [Invokes q-descriptive-analysis for exploration, then proceeds to writing sections]
用户：我有一个新数据集，需要先了解它再开始写作
助手：[调用q-descriptive-analysis进行探索，然后进入写作环节]

Quality Standards

质量标准

All output should meet these criteria:
  • Ready for submission to peer-reviewed journals
  • Consistent formatting throughout
  • Complete information (or explicit placeholders)
  • Appropriate use of appendices
  • Logical organization and flow
  • Objective reporting without premature interpretation
所有输出需满足以下标准：
  • 可直接提交至同行评审期刊
  • 格式全程一致
  • 信息完整（或有明确占位符）
  • 合理使用附录
  • 逻辑清晰、结构连贯
  • 客观报告，避免过早解读

Directory Structure

目录结构

q-scholar/
├── SKILL.md                              # This file (orchestration)
├── references/                           # Shared style guides
│   ├── apa_style_guide.md                # Numbers, statistics, notation
│   └── table_formatting.md               # APA 7th table examples
├── q-descriptive-analysis/
│   └── SKILL.md                          # Data exploration skill
├── q-intro/
│   ├── SKILL.md                          # Introduction drafting skill
│   └── references/
│       ├── introduction_template.md
│       └── interview_questions.md
├── q-methods/
│   ├── SKILL.md                          # Methods drafting skill
│   └── references/
│       ├── methods_template.md
│       └── appendix_template.md
└── q-results/
    ├── SKILL.md                          # Results drafting skill
    └── references/
        └── results_template.md
q-scholar/
├── SKILL.md                              # 本文件（整合说明）
├── references/                           # 共享风格指南
│   ├── apa_style_guide.md                # 数字、统计、符号规范
│   └── table_formatting.md               # APA第7版表格示例
├── q-descriptive-analysis/
│   └── SKILL.md                          # 数据探索技能文档
├── q-intro/
│   ├── SKILL.md                          # 引言撰写技能文档
│   └── references/
│       ├── introduction_template.md
│       └── interview_questions.md
├── q-methods/
│   ├── SKILL.md                          # 方法撰写技能文档
│   └── references/
│       ├── methods_template.md
│       └── appendix_template.md
└── q-results/
    ├── SKILL.md                          # 结果撰写技能文档
    └── references/
        └── results_template.md

Cross-References

交叉引用

Shared references (apply to all sub-skills):
  • references/apa_style_guide.md: numbers, statistics, notation
  • references/table_formatting.md: APA 7th table examples
Sub-skill specific references:
  • q-descriptive-analysis/SKILL.md: workflow templates, code patterns
  • q-intro/references/: introduction_template.md, interview_questions.md
  • q-methods/references/: methods_template.md, appendix_template.md
  • q-results/references/: results_template.md
共享参考文档（适用于所有子技能）：
  • references/apa_style_guide.md：数字、统计、符号规范
  • references/table_formatting.md：APA第7版表格示例
子技能专属参考文档：
  • q-descriptive-analysis/SKILL.md：工作流模板、代码模式
  • q-intro/references/：introduction_template.md、interview_questions.md
  • q-methods/references/：methods_template.md、appendix_template.md
  • q-results/references/：results_template.md