القائمة
Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.
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استنادا إلى تصنيف SOC المهني
Run the full cold-start end-to-end deploy test in an isolated git worktree with always-safe teardown. Use when: (1) verifying the one-shot `make deploy` works on a FRESH workspace/catalog (cold-start), (2) the user says 'integration test', 'cold-start test', 'test the deploy end to end', or 'does deploy still work on a new workspace', (3) validating a change to deploy.sh / databricks.yml / the seed before opening a PR. PROJECT-AUTHORED (not a vendored skill).
Keep this repo's architecture diagrams and prose docs in sync with the code as it evolves. Use this whenever the user asks to update/refresh the architecture diagrams, sync docs with the code, audit docs for staleness, or check that docs/architecture.md still matches the implementation — and proactively after any significant change (a new graph node, tool, Lakebase schema, data-pipeline step, auth change, or frontend swap), since the diagrams and READMEs drift silently. Covers refreshing the four Mermaid diagrams in docs/architecture.md, reconciling the known stale-doc patterns, and verifying with greps + Mermaid validity.
Use this when you need to EVALUATE OR IMPROVE or OPTIMIZE an existing LLM agent's output quality - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation with datasets, scorers, and tracing. IMPORTANT - Always also load the instrumenting-with-mlflow-tracing skill before starting any work. Covers end-to-end evaluation workflow or individual components (tracing setup, dataset creation, scorer definition, evaluation execution).
Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Evaluates data access patterns (analytics vs Lakebase synced tables) before scaffolding. Invoke BEFORE starting implementation.
Create, configure, validate, deploy, run, and manage Declarative Automation Bundles (DABs, formerly Databricks Asset Bundles). Use when working with Databricks resources via DABs including dashboards, jobs, pipelines, alerts, volumes, and apps.
Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.
| name | databricks-core |
| description | Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks. |
| compatibility | Requires databricks CLI (>= v0.292.0) |
| metadata | {"version":"0.1.0"} |
Core skill for Databricks CLI, authentication, and data exploration.
For specific products, use dedicated skills:
CLI installed: Run databricks --version to check.
DATABRICKS_HOST and DATABRICKS_TOKEN environment variables if present in the shell. See the Databricks REST API docs.Authenticated: databricks auth profiles
NEVER auto-select a profile.
databricks auth profilesEach Bash command runs in a separate shell session.
# WORKS: --profile flag
databricks apps list --profile my-workspace
# WORKS: chained with &&
export DATABRICKS_CONFIG_PROFILE=my-workspace && databricks apps list
# DOES NOT WORK: separate commands
export DATABRICKS_CONFIG_PROFILE=my-workspace
databricks apps list # profile not set!
Use these instead of manually navigating catalogs/schemas/tables:
# discover table structure (columns, types, sample data, stats)
databricks experimental aitools tools discover-schema catalog.schema.table --profile <PROFILE>
# run ad-hoc SQL queries
databricks experimental aitools tools query "SELECT * FROM table LIMIT 10" --profile <PROFILE>
# find the default warehouse
databricks experimental aitools tools get-default-warehouse --profile <PROFILE>
See Data Exploration for details.
⚠️ CRITICAL: Some commands use positional arguments, not flags
# current user
databricks current-user me --profile <PROFILE>
# list resources
databricks apps list --profile <PROFILE>
databricks jobs list --profile <PROFILE>
databricks clusters list --profile <PROFILE>
databricks warehouses list --profile <PROFILE>
databricks pipelines list --profile <PROFILE>
databricks serving-endpoints list --profile <PROFILE>
# ⚠️ Unity Catalog — POSITIONAL arguments (NOT flags!)
databricks catalogs list --profile <PROFILE>
# ✅ CORRECT: positional args
databricks schemas list <CATALOG> --profile <PROFILE>
databricks tables list <CATALOG> <SCHEMA> --profile <PROFILE>
databricks tables get <CATALOG>.<SCHEMA>.<TABLE> --profile <PROFILE>
# ❌ WRONG: these flags/commands DON'T EXIST
# databricks schemas list --catalog-name <CATALOG> ← WILL FAIL
# databricks tables list --catalog <CATALOG> ← WILL FAIL
# databricks sql-warehouses list ← doesn't exist, use `warehouses list`
# databricks execute-statement ← doesn't exist, use `experimental aitools tools query`
# databricks sql execute ← doesn't exist, use `experimental aitools tools query`
# When in doubt, check help:
# databricks schemas list --help
# get details
databricks apps get <NAME> --profile <PROFILE>
databricks jobs get --job-id <ID> --profile <PROFILE>
databricks clusters get --cluster-id <ID> --profile <PROFILE>
# bundles
databricks bundle init --profile <PROFILE>
databricks bundle validate --profile <PROFILE>
databricks bundle deploy -t <TARGET> --profile <PROFILE>
databricks bundle run <RESOURCE> -t <TARGET> --profile <PROFILE>
| Error | Solution |
|---|---|
cannot configure default credentials | Use --profile flag or authenticate first |
configuration does not support OAuth tokens | The command requires OAuth (e.g., databricks apps logs). Re-authenticate with databricks auth login --host <URL> --profile <PROFILE>. See CLI Authentication. |
PERMISSION_DENIED | Check workspace/UC permissions |
RESOURCE_DOES_NOT_EXIST | Verify resource name/id and profile |
| Task | READ BEFORE proceeding |
|---|---|
| First time setup | CLI Installation |
| Auth issues / new workspace | CLI Authentication |
| Exploring tables/schemas | Data Exploration |
| Deploying jobs/pipelines | Use /databricks-dabs |