Manage refresh schedules and job execution for an EXISTING Microsoft Fabric Materialized Lake View (MLV) via REST APIs: create, update, and delete refresh schedules (interval-based: hourly, daily, weekly), trigger on-demand refreshes, monitor job status, and cancel running jobs. Uses human-in-the-loop confirmations for safety. This skill does NOT author or create the MLV definition: writing the CREATE MATERIALIZED LAKE VIEW / CREATE OR REPLACE SQL is spark-authoring-cli, not this skill. Note: MLV discovery (list MLVs, lineage, data quality) requires UI as REST APIs are not yet available. Triggers: "schedule MLV refresh", "manage MLV refresh", "MLV refresh schedule", "schedule materialized lake view refresh", "automate MLV refresh", "trigger MLV refresh", "monitor MLV refresh", "MLV job status", "cancel MLV refresh", "refresh schedule", "MLV automation", "refresh my materialized views"
How to install mlv-operations-cli?
microsoft/skills-for-fabric/mlv-operations-cli
$npx -y skills add microsoft/skills-for-fabric --skill mlv-operations-cliInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/microsoft/skills-for-fabric" --skill "microsoft/skills-for-fabric/mlv-operations-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.
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