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| name | digital-marx-expert |
| description | 数字马克思专家分析技能，整合历史唯物主义分析、阶级结构分析、资本运动规律分析和意识形态批判功能，提供全面的马克思主义分析框架 |
| version | 1.0.0 |
| author | socienceAI.com |
| license | MIT |
| tags | ["marxist-analysis","historical-materialism","class-analysis","capital-movement","ideology-critique","digital-marx"] |
| compatibility | Python 3.8+, pandas, numpy, scikit-learn, matplotlib, seaborn |
| metadata | {"domain":"sociology","methodology":"marxist-analysis","complexity":"advanced","integration_type":"theoretical_quantitative","last_updated":"2025-12-27"} |
| allowed-tools | ["python","bash","read_file","write_file"] |
数字马克思专家分析技能整合了历史唯物主义分析、阶级结构分析、资本运动规律分析和意识形态批判功能，为社会科学研究提供全面的马克思主义分析框架。该技能帮助研究者运用马克思主义理论分析社会发展规律、阶级关系和经济基础与上层建筑的关系。
当用户请求以下分析时使用此技能：
当用户请求马克思主义分析时：
analysis_type: 分析类型 (historical-materialism, class, capital, ideology, comprehensive)focus_area: 关注领域 (productive-forces, class-relations, capital-movement, superstructure)depth_level: 分析深度 (basic, intermediate, comprehensive)society_type: 社会类型 (industrial, digital, post-industrial)methodology: 分析方法 (qualitative, quantitative, mixed)cultural_context: 文化背景考虑 (特别是中文研究背景)User: "分析中国数字经济的马克思主义视角" Response: 分析数字生产力水平，识别数字资本与数字劳动关系，评估平台经济中的阶级结构，分析数据所有权问题。
User: "分析当代中国社会的阶级结构" Response: 识别资产阶级、无产阶级和小资产阶级，分析各阶级间关系，评估阶级意识水平，预测结构变化趋势。
User: "分析数字时代意识形态的新特点" Response: 分析数字媒体对意识形态传播的影响，评估数字鸿沟对意识形式的分化作用，识别数字意识形态的新特征。
{
"summary": {
"analysis_type": "comprehensive",
"productive_forces_level": "digital",
"class_structure_identified": 4,
"main_contradiction": "capital_vs_labor",
"revolutionary_potential": 0.65
},
"details": {
"historical_materialism": {...},
"class_analysis": {...},
"capital_analysis": {...},
"ideology_analysis": {...}
},
"metadata": {
"timestamp": "2025-12-27T10:30:00",
"version": "1.0.0"
}
}
完成高质量的马克思主义分析应包括：
此技能为社会科学研究提供专业的综合马克思主义分析框架和工具，确保研究的科学性和严谨性。