spec-analysis

Complexity scoring analyzes specifications across 8 dimensions—structural, cognitive, coordination, temporal, technical, scale, uncertainty, and dependencies—producing a 0.0-1.0 objective score. Submit your requirements or design document to receive a Shannon-based complexity assessment that prevents underestimation and informs realistic planning.

Domain detection identifies Frontend, Backend, Database, DevOps, and infrastructure components within your specification, returning percentages for each. This analysis recommends optimal MCP servers matched to your project's detected tech stack, ensuring you allocate resources to the right domains.

Phase planning generates a tailored 5-phase execution roadmap with validation gates, timelines, and deliverables specific to your project's complexity profile. Each phase includes concrete milestones and checkpoints to track progress and catch risks early.

Feed your multi-paragraph requirements, feature lists, or design documents into specification analysis to surface hidden complexity across technical, coordination, and uncertainty dimensions. The objective score and domain breakdown reveal scope that informal estimates typically miss.

Yes, specification analysis accepts multi-paragraph requirements, feature lists, and design documents as input. It produces consistent 8-dimensional complexity scores and domain percentages regardless of source format, enabling comparison across different project proposal styles.

Complexity scoring uses objective Shannon-based mathematics across 8 dimensions rather than subjective guessing, eliminating bias and producing reproducible results. Unlike traditional estimates, it quantifies structural and coordination overhead, not just task count, revealing true project risk.