asset-bundles
Skill0 starsChanged 5 months agoNo licenceView on GitHub
Create and configure Databricks Asset Bundles (DABs) with best practices for multi-environment deployments. Use when working with: (1) Creating new DAB projects, (2) Adding resources (dashboards, pipelines, jobs, alerts), (3) Configuring multi-environment deployments, (4) Setting up permissions, (5) Deploying or running bundle resources
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
In this repository50 other files it gives its agents.
- gstack/CLAUDE.mdCLAUDE.md
- ios-simulator-skill/CLAUDE.mdCLAUDE.md
- agent-bricksSkill
- agent-evaluationSkill
- aibi-dashboardsSkill
- analyze-langfuse-traceSkill
- analyzing-mlflow-sessionSkill
- analyzing-mlflow-traceSkill
- architecture-diagramSkill
- arxiv-digestSkill
- core-methodologySkill
- databricks-app-apxSkill
- databricks-app-pythonSkill
- databricks-configSkill
- databricks-docsSkill
- databricks-genieSkill
- databricks-jobsSkill
- databricks-python-sdkSkill
- databricks-unity-catalogSkill
- descriptive-statisticsSkill
- design-discoverySkill
- design-principlesSkill
- difference-in-differencesSkill
- effective-writing-llmsSkill
- gstackSkill
- instrumenting-with-mlflow-tracingSkill
- interface-craftSkill
- lakebase-provisionedSkill
- marimo-math-vizSkill
- marimo-notebookSkill
- mlflow-onboardingSkill
- model-servingSkill
- querying-mlflow-metricsSkill
- rct-core-designSkill
- rct-data-analysisSkill
- rct-ethics-registrationSkill
- rct-power-calculationsSkill
- rct-randomizationSkill
- regression-diagnosticsSkill
- retrieving-langfuse-tracesSkill
- retrieving-mlflow-tracesSkill
- searching-mlflow-docsSkill
- spark-declarative-pipelinesSkill
- svg-animationsSkill
- synthetic-data-generationSkill
- taste-driven-devSkill
- design-taste-frontendSkill
- todaySkill
- unstructured-pdf-generationSkill
- visualizationSkill
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Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.