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References and Evolution

This page is not a link dump. It is the site dossier: where the methods come from, what the competitor landscape teaches, where this project goes further, and which evolution questions remain open.

Reference Dossier

Map methods, competitors, and evolution signals into one reusable matrix

Each reference should explain which layer it influenced and what this site advances beyond it.

Documentation Method

Diátaxis

Absorbed

Useful for separating explanation, guidance, and reference material.

Advanced

Condensed into introduction, architecture, algorithms, performance, evidence, and references.

Docs Engineering

MoonshotAI / kimi-cli

Absorbed

Borrowed the build-time docs snapshot workflow.

Advanced

Expanded the snapshot into a data model that powers figures, metrics, and dossiers.

Open Source Framing

AOSA / peer repositories

Absorbed

Treats structure, boundaries, and trade-offs as publishable assets.

Advanced

Turns the rules index into an evidence layer rather than the whole story.

Competitor comparison

Competitor / referenceWorth learningAdopted hereAdvanced here
kimi-cliClear docs engineeringPre-build syncA fuller whitepaper shell
cursor-rulesBroad template coverageCorpus surveyArchitecture and algorithm chapters
awesome-cursorrulesEfficient resource aggregationEntry-point organizationEvidence library plus research dossier

Why a competitor view matters

Competitor analysis is not there to dismiss other projects. It helps define whether this project has a real differentiator, which ideas were adopted, and where the system can still evolve.

Evolution questions

The next meaningful evolution questions include:

  1. Should the snapshot layer emit more granular rule quality signals?
  2. Should the algorithms chapter visualize more composition and upgrade paths?
  3. Should the evidence library support stronger thematic comparison views?
  4. Should competitor analysis evolve into a maintained comparison database?

Continue the survey

Reframing 132+ rule assets across 32+ domains as a whitepaper, algorithm dossier, and evidence library