Discover
Traverse rules/ and identify the real asset boundary.
This chapter does not explain model internals. It explains how the project turns a flat .cursorrules corpus into an explainable, composable, and verifiable publication pipeline.
Rule Orchestration
The point of the algorithms chapter is to make the site method legible: discover, classify, compose, and publish evidence.
Traverse rules/ and identify the real asset boundary.
Generate categoryDistribution and coverageBuckets for a corpus-level view.
Map composition patterns, upgrade paths, and review paths into a stable IA.
Expose the result through the homepage, architecture, performance, and references chapters.
The process starts from rules/ and recursively identifies each .cursorrules file. The first job is clarity: define the asset boundary correctly.
The site projects every rule into domain categories and then derives categoryDistribution, coverageBuckets, and qualitySignals. This stage defines the coverage and density story.
This is where rule orchestration becomes more than indexing. The project translates rule clusters into composition patterns, review paths, and upgrade paths so readers can move from isolated templates to a coherent system understanding.
The final stage does not stop at Markdown output. It maps the orchestration result into the homepage, the architecture chapter, the performance whitepaper, and the references dossier to publish evidence.
The system overview explains boundaries and layers. The rule orchestration chapter explains how those layers turn assets into readable outcomes. Together they form the core technical whitepaper.