tomevault-io fabric-notebook-loop
Iterative Fabric notebook development without portal interaction. The skill is split into focused sections — traverse the linked nodes to pick up only what you need:
- [[skills/fabric-notebook-loop/must]] — non-negotiable rules (cell markers, build/deploy/monitor, fetch-then-stop, kernel + sentinel rules)
- [[skills/fabric-notebook-loop/prefer-avoid]] — recommended preferences and the explicit anti-patterns
- [[skills/fabric-notebook-loop/the-loop]] — the author → build → deploy → smoke → fetch cycle, individual commands, cell structure, run-status interpretation
- [[skills/fabric-notebook-loop/diagnosing-opaque-failures]] — three diagnostic paths for
System cancelled the Spark sessionand the catalogue of common silent causes - [[skills/fabric-notebook-loop/mlflow-platform-limits]] — Fabric MLflow experiment-name validation and the SPN
MwcTokenValidationExceptionthat blocks closed-loop MLflow - [[skills/fabric-notebook-loop/full-example]] — end-to-end CSV-to-Bronze example
For diagnosing opaque smoke-test failures, also see memory/skill-fixes/smoke-test-cell-errors.md. For MLflow specifics: memory/skill-fixes/fabric-mlflow-spn-blocked.md, memory/skill-fixes/fabric-mlflow-experiment-name.md.
Source: scardoso-lu/fabric-skills-settings — distributed by TomeVault.