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>
Session guide: venv usage, convert.py workflow, whole-file synthesis
convention (read all md/<topic>/, save syntheses back in-folder), git
habits, and the pymupdf4llm pin + plain-text fallback gotchas.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
