shannon-analysis

Quantitative analysis systematically measures code complexity, architecture patterns, and technical debt using automated discovery and scoring. Shannon-analysis orchestrates this by detecting your codebase structure, integrating historical context via Serena, and invoking specialized sub-skills to produce 8D-based quantification and structured reports.

Yes. Shannon-analysis handles enterprise-scale codebases by applying Glob and Grep-based discovery to locate relevant code, automatically detecting whether your analysis targets debt inventories, architecture patterns, or complexity metrics, then invoking sub-skills progressively to enforce rigor across large repositories.

Systematic analysis replaces manual inspection by automating discovery, context integration, and scoring. Shannon-analysis enforces this through structured workflows: it detects analysis type, applies Serena context for historical tracking, runs confidence checks, and produces quantified outputs with MCP recommendations instead of informal notes.

Serena context integration provides historical project data and progress tracking, anchoring analysis results to prior findings and project state. Shannon-analysis uses this context to detect analysis type automatically, adjust scoring based on artifact history, and surface recommendations grounded in tracked complexity patterns.

Yes. Shannon-analysis handles time-critical inquiries by auto-detecting analysis scope—codebase, architecture, debt, or complexity—and invoking only necessary sub-skills. This efficiency, combined with structured output persistence and MCP recommendations, delivers rigorous results without ad-hoc delays.