digital-marx-expert

Marxist digital-economy analysis systematically links material foundations, class structure, capital dynamics, and ideological critique in a single workflow. It evaluates productive forces, production relations, economic base, and superstructure to explain social change in digital or industrial contexts.

You generate a Marxist class structure analysis by identifying digital-era labor layers, assessing consciousness levels, and mapping class relations and tensions. The process requires YAML-specified parameters for analysis type, focus area, depth level, and methodology to produce structured JSON outputs.

Yes, you can use pandas and networkx for capital circulation analysis. The dependencies include pandas, numpy, scikit-learn, matplotlib, seaborn, jieba, and networkx to evaluate surplus value production, accumulation patterns, and profit-rate tendencies within digital capitalism.

The best way to critique ideology tied to digital capitalism is to evaluate economic base-superstructure relations alongside capital movement. This approach performs ideological critique by connecting surplus value production and accumulation tendencies to superstructural functions.

Yes, you need YAML parameters to perform capital accumulation analysis. The Skill requires YAML-specified parameters for analysis type, focus area, depth level, and methodology to evaluate capital circulation, accumulation, concentration, and profit-rate tendencies.