masthead-compute-savings-with-workload-assignments
Optimize BigQuery compute costs by reassigning data models (Dataform, dbt, Airflow) or principals (service accounts, users) to slot reservations or on-demand compute based on Masthead recommendations without impacting performance.
Install
With your agent
Install OMGSkills skill "masthead-data/for-agents:skills/masthead-compute-savings-with-workload-assignments" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/masthead-data/for-agents /tmp/for-agents && ln -s /tmp/for-agents/skills/masthead-compute-savings-with-workload-assignments ~/.claude/skills/masthead-compute-savings-with-workload-assignmentsFrom README
Optimize BigQuery Compute Costs (Models & Principals) Purpose Automatically translate Masthead compute-cost recommendations (views.insight / exported insights tables) into concrete, verified configurations for BigQuery reservations and orchestration pipelines. The primary objective is reliable enterprise workload cost optimization without performance impact. Workloads are systematically routed between autoscale slot reservations and on-demand compute pools based on simulated execution profiles. Workload Scope Masthead evaluates two classes of compute recommendations: Data Models (DAGMODEL): Orchestrated pipeline nodes across Dataform actions, dbt models, and Airflow tasks. Principals (PRINCIPAL): Identity-based workloads executed by service accounts or users across projects.
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