digital-marx
CommunityTurn social observations into Marxist four-phase analysis.
Education & Research#four-phase-framework#marxist-analysis#dialectical-thinking#historical-materialism#social-change-prediction#class-structure
Authorptreezh
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Digital-Marx helps you convert qualitative social descriptions into a structured Marxist (historical materialism) analysis pipeline, covering material foundations, production relations, superstructure, and social change prediction.
Core Features & Use Cases
- Four-Phase Marxist Analysis: Produces standardized outputs across material foundation, production relations, superstructure, and social change prediction for research and comparative studies.
- Dialectical & Historical-Materialist Reasoning Support: Runs a dialectical-law layer (unity of opposites, quantity-quality change, negation of negation) and integrates it with historical materialism analyses.
- Quality Assessment & Validation: Includes a quality detection/validation flow to evaluate theoretical consistency, methodological soundness, completeness, logical coherence, and practical relevance.
Quick Start
Ask the AI to analyze a text you provide by running the integrated four-phase workflow using the digital-marx skill.
Dependency Matrix
Required Modules
pandasnumpyjiebamatplotlibseabornscipyscikit-learnstatsmodelsnetworkx
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: digital-marx Download link: https://github.com/ptreezh/sscisubagent-skills/archive/main.zip#digital-marx Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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