generated: '2026-09-05'
method: searched
source: https://github.com/databricks/cli/blob/main/AGENTS.md
note: >-
  Databricks publishes its own agent instructions in the Databricks CLI
  repository — the tool that implements every `databricks bundle` command. That
  file is saved verbatim as databricks-asset-bundles-agents.md and is the
  provider-authored skill; the second entry is an API Evangelist packaged skill
  grounded only in documented CLI commands, since there is no OpenAPI to ground
  operationIds in.
skills:
  - name: databricks-cli-agents
    file: databricks-asset-bundles-agents.md
    method: searched
    authored_by: provider
    source: https://raw.githubusercontent.com/databricks/cli/main/AGENTS.md
    fetched: '2026-09-05'
    http_status: 200
    description: >-
      Databricks' own AGENTS.md for the Databricks CLI repository — mandatory
      RULE-prefixed guidance for AI assistants working in the codebase that
      builds and ships Declarative Automation Bundles, including build/test/lint
      task commands and the schema and codegen generators.
    companion_rules: https://github.com/databricks/cli/tree/main/.agents/rules
  - name: deploy-a-bundle
    file: databricks-asset-bundles-deploy-a-bundle.md
    method: generated
    authored_by: api-evangelist
    source: https://docs.databricks.com/aws/en/dev-tools/cli/bundle-commands
    description: >-
      Packaged operating instructions for the marquee flow — validate, plan,
      deploy, run and tear down a bundle against a named target — grounded in
      documented CLI commands and the idempotency/reversibility rules recorded
      in conventions/.