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Research Skills Discovery

研究技能发现

Auto-Activation

自动激活

This skill is automatically activated when your task involves:
  • Research synthesis, literature reviews, meta-analysis
  • Quantitative research, statistical analysis, surveys, experiments
  • Qualitative research, interviews, ethnography, case studies
  • Study design, hypothesis testing, sampling strategies
  • Data collection, survey design, interview protocols
  • Data analysis, coding, statistical tests, visualization
  • Research writing, academic papers, citations, reporting
当你的任务涉及以下内容时，本技能会自动激活：
  • 研究综合、文献综述、Meta-analysis
  • 定量研究、统计分析、调查、实验
  • 定性研究、访谈、民族志、案例研究
  • 研究设计、假设检验、抽样策略
  • 数据收集、调查设计、访谈方案
  • 数据分析、编码、统计检验、可视化
  • 研究写作、学术论文、引用、报告

Available Research Skills

可用研究技能

Core Methodology Skills

核心方法技能

1. research-synthesis - Synthesizing information and conducting meta-analysis
  • Narrative synthesis approaches
  • Meta-analysis with Python implementation
  • Thematic synthesis of qualitative findings
  • Evidence mapping and gap analysis
  • GRADE framework for quality assessment
  • Use when: Integrating findings across studies
2. quantitative-methods - Quantitative research and statistical analysis
  • Experimental design with power analysis
  • Survey methods and analysis
  • Hypothesis testing framework
  • Regression analysis with diagnostics
  • Effect sizes and reporting
  • Use when: Testing hypotheses with numerical data
3. qualitative-methods - Qualitative research approaches
  • In-depth interview protocols
  • Thematic analysis (6 phases)
  • Grounded theory coding
  • Case study research design
  • Quality criteria and rigor
  • Use when: Exploring experiences and meanings
4. research-design - Planning and designing research studies
  • Research question formulation (FINER criteria)
  • Validity threat analysis
  • Sampling strategies with Python tools
  • Experimental control frameworks
  • Design quality assessment
  • Use when: Planning a new study from scratch
1. research-synthesis - 信息综合与Meta-analysis执行
  • 叙述性综合方法
  • 基于Python的Meta-analysis实现
  • 定性研究结果的主题综合
  • 证据图谱与差距分析
  • 用于质量评估的GRADE框架
  • 适用场景：整合多项研究的结果
2. quantitative-methods - 定量研究与统计分析
  • 含功效分析的实验设计
  • 调查方法与分析
  • 假设检验框架
  • 含诊断的回归分析
  • 效应量与报告规范
  • 适用场景：使用数值数据检验假设
3. qualitative-methods - 定性研究方法
  • 深度访谈方案
  • 主题分析（6个阶段）
  • 扎根理论编码
  • 案例研究设计
  • 质量标准与严谨性要求
  • 适用场景：探索体验与意义
4. research-design - 研究计划与设计
  • 研究问题制定（FINER准则）
  • 效度威胁分析
  • 基于Python工具的抽样策略
  • 实验控制框架
  • 设计质量评估
  • 适用场景：从零开始规划新研究

Implementation Skills

实施技能

5. data-collection - Methods for gathering research data
  • Survey instrument design and validation
  • Interview protocol development
  • Observation methods and field notes
  • Data quality control frameworks
  • Response rate optimization
  • Use when: Implementing data collection
6. data-analysis - Analyzing quantitative and qualitative data
  • Comprehensive descriptive statistics
  • Inferential testing with full reporting
  • Systematic qualitative coding
  • Thematic development process
  • Publication-ready visualizations
  • Use when: Making sense of collected data
7. research-writing - Writing research papers and reports
  • IMRAD structure with guidelines
  • APA statistical reporting
  • Citation management
  • Argument construction
  • Peer review response strategies
  • Use when: Communicating research findings
5. data-collection - 研究数据收集方法
  • 调查工具的设计与验证
  • 访谈方案开发
  • 观察方法与实地笔记
  • 数据质量控制框架
  • 响应率优化
  • 适用场景：执行数据收集工作
6. data-analysis - 定量与定性数据分析
  • 全面描述性统计
  • 含完整报告的推断性检验
  • 系统性定性编码
  • 主题形成过程
  • 符合发表要求的可视化
  • 适用场景：解读收集到的数据
7. research-writing - 研究论文与报告写作
  • IMRAD结构与指南
  • APA统计报告规范
  • 引用管理
  • 论点构建
  • 同行评审回复策略
  • 适用场景：传达研究结果

Loading Skills

技能加载

Load Individual Skills

加载单个技能

From skills directory

从技能目录加载

Read <cc-polymath-root>/skills/research/research-synthesis.md Read <cc-polymath-root>/skills/research/quantitative-methods.md Read <cc-polymath-root>/skills/research/qualitative-methods.md Read <cc-polymath-root>/skills/research/research-design.md Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/data-analysis.md Read <cc-polymath-root>/skills/research/research-writing.md
Read <cc-polymath-root>/skills/research/research-synthesis.md Read <cc-polymath-root>/skills/research/quantitative-methods.md Read <cc-polymath-root>/skills/research/qualitative-methods.md Read <cc-polymath-root>/skills/research/research-design.md Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/data-analysis.md Read <cc-polymath-root>/skills/research/research-writing.md

Common Workflow Combinations

常见工作流组合

Quantitative Research Study:
定量研究项目:

Planning phase

规划阶段

Read <cc-polymath-root>/skills/research/research-design.md
Read <cc-polymath-root>/skills/research/research-design.md

Data collection

数据收集阶段

Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/quantitative-methods.md
Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/quantitative-methods.md

Analysis and reporting

分析与报告阶段

Read <cc-polymath-root>/skills/research/data-analysis.md Read <cc-polymath-root>/skills/research/research-writing.md
Qualitative Research Study:
Read <cc-polymath-root>/skills/research/data-analysis.md Read <cc-polymath-root>/skills/research/research-writing.md
定性研究项目:

Planning phase

规划阶段

Read <cc-polymath-root>/skills/research/research-design.md
Read <cc-polymath-root>/skills/research/research-design.md

Data collection

数据收集阶段

Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/qualitative-methods.md
Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/qualitative-methods.md

Analysis and reporting

分析与报告阶段

Read <cc-polymath-root>/skills/research/data-analysis.md Read <cc-polymath-root>/skills/research/research-writing.md
Literature Review / Meta-Analysis:
Read <cc-polymath-root>/skills/research/data-analysis.md Read <cc-polymath-root>/skills/research/research-writing.md
文献综述 / Meta-analysis:

Synthesis phase

综合阶段

Read <cc-polymath-root>/skills/research/research-synthesis.md
Read <cc-polymath-root>/skills/research/research-synthesis.md

If including quantitative synthesis

若包含定量综合

Read <cc-polymath-root>/skills/research/quantitative-methods.md
Read <cc-polymath-root>/skills/research/quantitative-methods.md

Writing phase

写作阶段

Read <cc-polymath-root>/skills/research/research-writing.md
Mixed Methods Study:
Read <cc-polymath-root>/skills/research/research-writing.md
混合方法研究:

All methods

所有方法

Read <cc-polymath-root>/skills/research/research-design.md Read <cc-polymath-root>/skills/research/quantitative-methods.md Read <cc-polymath-root>/skills/research/qualitative-methods.md Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/data-analysis.md Read <cc-polymath-root>/skills/research/research-writing.md
Read <cc-polymath-root>/skills/research/research-design.md Read <cc-polymath-root>/skills/research/quantitative-methods.md Read <cc-polymath-root>/skills/research/qualitative-methods.md Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/data-analysis.md Read <cc-polymath-root>/skills/research/research-writing.md

Progressive Loading

渐进式加载

Load skills progressively based on research phase:
Phase 1: Planning (Load 1-2 skills)
  • research-design (always)
  • quantitative-methods OR qualitative-methods (based on approach)
Phase 2: Collection (Add 1-2 skills)
  • data-collection (always)
  • Keep loaded: specific method skill
Phase 3: Analysis (Add 1 skill)
  • data-analysis (always)
  • Keep loaded: method and collection skills for reference
Phase 4: Writing (Add 1 skill, can unload others)
  • research-writing (always)
  • research-synthesis (if synthesizing literature)
  • Keep one method skill for reporting details
Phase 5: Synthesis (If conducting review)
  • research-synthesis (load early)
  • quantitative-methods (if meta-analysis)
  • qualitative-methods (if thematic synthesis)
根据研究阶段逐步加载技能：
阶段1：规划（加载1-2个技能）
  • research-design（必选）
  • quantitative-methods 或 qualitative-methods（根据研究方法选择）
阶段2：收集（添加1-2个技能）
  • data-collection（必选）
  • 保留已加载的：特定方法技能
阶段3：分析（添加1个技能）
  • data-analysis（必选）
  • 保留已加载的：方法与收集技能以供参考
阶段4：写作（添加1个技能，可卸载其他技能）
  • research-writing（必选）
  • research-synthesis（若进行文献综合）
  • 保留一个方法技能用于报告细节
阶段5：综合（若进行综述）
  • research-synthesis（提前加载）
  • quantitative-methods（若为Meta-analysis）
  • qualitative-methods（若为主题综合）

Decision Tree

决策树

Research Task
    ↓
Conducting new study?
    YES → Load research-design
        ↓
        Quantitative approach?
            YES → Load quantitative-methods + data-collection
        Qualitative approach?
            YES → Load qualitative-methods + data-collection
        Mixed methods?
            YES → Load both methods + data-collection
        ↓
        Ready to analyze?
            YES → Load data-analysis
        ↓
        Ready to write?
            YES → Load research-writing

    NO → Synthesizing existing research?
        YES → Load research-synthesis
            ↓
            Quantitative synthesis (meta-analysis)?
                YES → Also load quantitative-methods
            Qualitative synthesis?
                YES → Also load qualitative-methods
            ↓
            Ready to write?
                YES → Load research-writing
Research Task
    ↓
Conducting new study?
    YES → Load research-design
        ↓
        Quantitative approach?
            YES → Load quantitative-methods + data-collection
        Qualitative approach?
            YES → Load qualitative-methods + data-collection
        Mixed methods?
            YES → Load both methods + data-collection
        ↓
        Ready to analyze?
            YES → Load data-analysis
        ↓
        Ready to write?
            YES → Load research-writing

    NO → Synthesizing existing research?
        YES → Load research-synthesis
            ↓
            Quantitative synthesis (meta-analysis)?
                YES → Also load quantitative-methods
            Qualitative synthesis?
                YES → Also load qualitative-methods
            ↓
            Ready to write?
                YES → Load research-writing

Context-Aware Loading

上下文感知加载

Based on keywords in your task, these skills auto-load:
Keywords → Skills Mapping:
  • "literature review", "meta-analysis", "systematic review" → research-synthesis
  • "survey", "experiment", "hypothesis", "statistical" → quantitative-methods
  • "interview", "ethnography", "case study", "lived experience" → qualitative-methods
  • "study design", "sampling", "validity", "research plan" → research-design
  • "questionnaire", "data collection", "measurement" → data-collection
  • "analyze data", "coding", "statistical test", "thematic" → data-analysis
  • "write paper", "manuscript", "citation", "peer review" → research-writing
根据任务中的关键词，这些技能会自动加载：
关键词 → 技能映射:
  • "literature review", "meta-analysis", "systematic review" → research-synthesis
  • "survey", "experiment", "hypothesis", "statistical" → quantitative-methods
  • "interview", "ethnography", "case study", "lived experience" → qualitative-methods
  • "study design", "sampling", "validity", "research plan" → research-design
  • "questionnaire", "data collection", "measurement" → data-collection
  • "analyze data", "coding", "statistical test", "thematic" → data-analysis
  • "write paper", "manuscript", "citation", "peer review" → research-writing

Related Skill Categories

相关技能类别

  • statistics: Advanced statistical techniques
  • data-science: Machine learning and big data approaches
  • visualization: Advanced data visualization
  • academic-writing: General academic writing skills
  • scientific-computing: Python/R for research computing
  • statistics: 高级统计技术
  • data-science: 机器学习与大数据方法
  • visualization: 高级数据可视化
  • academic-writing: 通用学术写作技能
  • scientific-computing: 用于研究计算的Python/R工具

Quick Start Examples

快速入门示例

"I need to design a survey study"

"我需要设计一项调查研究"

Read <cc-polymath-root>/skills/research/research-design.md Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/quantitative-methods.md
Read <cc-polymath-root>/skills/research/research-design.md Read <cc-polymath-root>/skills/research/data-collection.md Read <cc-polymath-root>/skills/research/quantitative-methods.md

"I need to analyze interview transcripts"

"我需要分析访谈转录文本"

Read <cc-polymath-root>/skills/research/qualitative-methods.md Read <cc-polymath-root>/skills/research/data-analysis.md
Read <cc-polymath-root>/skills/research/qualitative-methods.md Read <cc-polymath-root>/skills/research/data-analysis.md

"I need to conduct a meta-analysis"

"我需要进行Meta-analysis"

Read <cc-polymath-root>/skills/research/research-synthesis.md Read <cc-polymath-root>/skills/research/quantitative-methods.md
Read <cc-polymath-root>/skills/research/research-synthesis.md Read <cc-polymath-root>/skills/research/quantitative-methods.md

"I need to write up my results"

"我需要撰写研究结果"

Read <cc-polymath-root>/skills/research/research-writing.md Read <cc-polymath-root>/skills/research/data-analysis.md
Read <cc-polymath-root>/skills/research/research-writing.md Read <cc-polymath-root>/skills/research/data-analysis.md

Best Practices

最佳实践

  1. Start with design: Load research-design first when planning new studies
  2. Method-specific loading: Load only the method skill you need (quant OR qual)
  3. Progressive addition: Add skills as you progress through research phases
  4. Unload when done: Unload skills from completed phases to manage context
  5. Keep writing loaded: research-writing useful throughout for documentation
  1. 从设计开始: 规划新研究时，首先加载research-design
  2. 按方法加载: 仅加载你需要的方法技能（定量或定性）
  3. 逐步添加: 随着研究阶段推进逐步添加技能
  4. 完成后卸载: 卸载已完成阶段的技能以管理上下文
  5. 保留写作技能: research-writing在整个过程中对文档记录都有用

Skill Maintenance

技能维护

All research skills follow these standards:
  • Practical code examples (Python primary, R when appropriate)
  • Real-world templates and protocols
  • Best practices and anti-patterns
  • Cross-references to related skills
  • 250-400 lines optimized for context efficiency
所有研究技能遵循以下标准:
  • 实用代码示例（以Python为主，必要时使用R）
  • 真实场景模板与方案
  • 最佳实践与反模式
  • 相关技能的交叉引用
  • 250-400行内容，针对上下文效率优化

Integration with Other Skills

与其他技能的集成

Research skills integrate well with:
  • python-data-science: For advanced analysis
  • python-visualization: For publication graphics
  • academic-latex: For paper formatting
  • git-workflow: For research project management
  • reproducibility: For reproducible research practices
研究技能可与以下技能良好集成:
  • python-data-science: 用于高级分析
  • python-visualization: 用于发表级图表
  • academic-latex: 用于论文格式排版
  • git-workflow: 用于研究项目管理
  • reproducibility: 用于可复现研究实践