Introduce a machine-readable layer on top of the markdown corpus so AI/scripts can query a topic's facts without re-reading whole sources (anti-RAG stays for synthesis/quotes). - md/demonology/demons.json: fact-cache, 33 entities attested in 2+ sources, each with rank/domain/signs/origins + provenance (sources, citations). - md/demonology/demons.schema.json: JSON Schema for the dataset. - md/demonology/INDEX.md: topic front-door (query JSON -> synthesis -> source). - validate.py: generic schema + house-rule validator (source_count, cross_refs, unique ids); discovers <name>.schema.json/<name>.json pairs across all topics. - docs/data-convention.md: the reusable, topic-agnostic pattern + how to add it to a new topic. - CLAUDE.md: pointer so the convention is picked up every session. - requirements.txt: add jsonschema (used by validate.py). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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