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Awesome GitHub RepositoriesCross-Sectional Analysis Frameworks
Analytical systems that combine chronological data with horizontal peer comparisons for synthesis.
Distinct from Cross-Sectional Performance Aggregations: Distinct from financial cross-sectional transformations as it focuses on synthetic research report generation via multi-dimensional analysis.
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Awesome Cross-Sectional Analysis Frameworks GitHub Repositories
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- kkkkhazix/khazix-skills
KKKKhazix/khazix-skills
15,813Ver en GitHubThis project is a collection of specialized toolsets for AI research automation, local storage analysis, and prompt library management. It provides frameworks for retrieving curated news and research papers via keyword queries and generating comprehensive long-form reports through cross-sectional subject analysis. The system includes capabilities for AI content generation that enforce specific narrative rules, rhythmic constraints, and banned vocabulary to replicate authorial personas. It also features a prompt library with standardized instruction schemas to ensure consistent agent behavior
Provides a framework for synthesizing comprehensive research reports through combined chronological and horizontal subject analysis.
Python
