bymicrosoft· 555 skills
Author Fabric notebook cell code; run a notebook by name and report its status; and author/create Materialized Lake View (MLV) definitions (CREATE MATERIALIZED LAKE VIEW). Use for writing notebook cell code (PySpark, Scala, SparkR, %%sql, %%configure) — a %%sql cell that queries a lakehouse is authoring, not a T-SQL query — and running a notebook via the Jobs API (RunNotebook), including on the success path. Not for Livy sessions or ad-hoc calculations (use spark-consumption-cli); to refresh/schedule an EXISTING MLV, use mlv-operations-cli; for plain T-SQL, use sqldw-consumption-cli; for a FAILED notebook/job, use spark-operations-cli. Triggers: "write notebook code", "notebook cell code", "%%sql cell", "run the notebook named", "run notebook", "execute notebook", "notebookutils", "PySpark notebook", "%%configure", "create a materialized lake view", "create MLV", "materialized lake view", "MLV", "CREATE MATERIALIZED LAKE VIEW", "MLV incremental refresh"
$npx -y skills add microsoft/skills-for-fabric --skill spark-authoring-cliInstalls into the current project.
Run `npx skills use "https://github.com/microsoft/skills-for-fabric" --skill "microsoft/skills-for-fabric/spark-authoring-cli"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/microsoft/skills-for-fabric" that are relevant to the current task. Run `npx skills add "https://github.com/microsoft/skills-for-fabric"` and select the relevant skills, then follow their instructions.