AI Discovery

SFCR notebook authoring resources

This page is the human-readable landing page for browser-based AI clients and notebook authors. Use YAML for notebook authoring and examples, then validate against the JSON schema when needed. For automated discovery, start with ../.well-known/sfcr.json.

Canonical JSON index

../.well-known/sfcr.json

Notebook manifest

../.well-known/sfcr-notebook-guide.json

Authoring guide

../notebook-guide.md

JSON schema

../sfcr-notebook.schema.json

YAML prompt for ChatGPT or Claude
Recommended copy-paste prompt for generating readable, importable notebook YAML.
JSON prompt for strict machine output
Compatibility prompt for generating expanded notebook JSON against the schema.
Starter notebook YAML
Default authoring scaffold with matrices, sequences, model cells, and a baseline run for new notebooks.
SIM example notebook YAML
Canonical Godley-Lavoie SIM baseline and government spending scenario.
BMW example notebook YAML
Reference for sectors, accounting bands, baseline runs, and scenarios.
GL6 DIS rentier example notebook YAML
Reference for multi-household layouts, distributional flows, and matrix structures.
JSON examples remain available
Use the .json examples when a client needs expanded runtime JSON or direct schema validation.

Recommended flow: fetch ../.well-known/sfcr.json, start from the YAML starter notebook, then read the guide, schema, and one richer YAML example before generating notebook source.