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databricks

@databricks source repo

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• 7 hours ago last updated

1. ▌
   Dbt Databricks Pr Ready 2 · databricks

   Use for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch. Accepts a PR link or number and optional --auto.
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2. ▌
   Haiku 2 · databricks

   Dispatcher's haiku — summarize the routing outcome as a 5-7-5 haiku. Per-agent variant; collides with the global `haiku`, so address it as `agent:haiku`.
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3. ▌
   Vercel CLI · databricks bundle

   Deploy, manage, and develop projects on Vercel from the command line
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   Databricks Apps 2 · databricks bundle

   Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Auto-detects need for Lakebase when app stores state; evaluates data access patterns (analytics vs Lakebase synced tables) before scaffolding. Invoke BEFORE starting implementation.
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5. ▌
   Databricks Core 2 · databricks bundle

   Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.
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6. ▌
   Databricks Dabs · databricks bundle

   Create, configure, validate, deploy, run, and manage DABs — Declarative Automation Bundles (formerly Databricks Asset Bundles) — for Databricks resources including dashboards, jobs, pipelines, alerts, volumes, and apps
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7. ▌
   Databricks Jobs 2 · databricks bundle

   Develop and deploy Lakeflow Jobs on Databricks via DABs, Python SDK, or the CLI. Use when creating data engineering jobs with notebooks, Python wheels, SQL, dbt, or pipelines. Invoke BEFORE starting implementation.
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8. ▌
   Databricks Lakebase 2 · databricks bundle

   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.
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9. ▌
   Databricks Pipelines 2 · databricks bundle

   Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
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10. ▌
    Databricks Spark Structured Streaming · databricks bundle

    Comprehensive guide to Spark Structured Streaming for production workloads. Use when building streaming pipelines, working with Kafka ingestion, implementing Real-Time Mode (RTM), configuring triggers (processingTime, availableNow), handling stateful operations with watermarks, optimizing checkpoints, performing stream-stream or stream-static joins, writing to multiple sinks, or tuning streaming cost and performance.
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11. ▌
    Add Tools 2 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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12. ▌
    Deploy 2 · databricks

    Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.
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13. ▌
    Deploy 3 · databricks

    Deploy TypeScript LangChain agent to Databricks. Use when: (1) User wants to deploy, (2) User says 'deploy', 'push to databricks', 'production', (3) After making changes that need deployment.
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14. ▌
    Add Tools 3 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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15. ▌
    Quickstart 2 · databricks

    Set up Databricks agent development environment. Use when: (1) First time setup, (2) Configuring Databricks authentication, (3) User says 'quickstart', 'set up', 'authenticate', or 'configure databricks', (4) No .env file exists.
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16. ▌
    Add Tools 4 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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17. ▌
    Deploy 4 · databricks

    Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.
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18. ▌
    Quickstart 3 · databricks

    Set up TypeScript LangChain agent development environment. Use when: (1) First time setup, (2) Configuring Databricks authentication, (3) User says 'quickstart', 'set up', 'authenticate', or 'configure databricks', (4) No .env file exists.
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19. ▌
    Deploy 5 · databricks

    Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.
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20. ▌
    Modify Agent 2 · databricks

    Modify TypeScript LangChain agent configuration and behavior. Use when: (1) User wants to change agent settings, (2) Add/remove tools, (3) Update system prompt, (4) Change model parameters.
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21. ▌
    Deploy 6 · databricks

    Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.
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22. ▌
    Add Tools 5 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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23. ▌
    Quickstart 4 · databricks

    Set up the Databricks chatbot app for local development and deployment. Use when: (1) First time setup, (2) User says 'quickstart', 'set up', 'authenticate', or 'configure databricks', (3) No .env file exists, (4) User says 'enable feedback', 'feedback widget', or 'MLFLOW_EXPERIMENT_ID'.
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24. ▌
    Quickstart 5 · databricks

    Set up Databricks agent development environment. Use when: (1) First time setup, (2) Configuring Databricks authentication, (3) User says 'quickstart', 'set up', 'authenticate', or 'configure databricks', (4) No .env file exists.
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25. ▌
    Add Tools 6 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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26. ▌
    Add Tools 7 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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27. ▌
    Add Tools 8 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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28. ▌
    Deploy 7 · databricks

    Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.
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29. ▌
    Deploy 8 · databricks

    Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.
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30. ▌
    Add Tools 9 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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31. ▌
    Add Tools 10 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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32. ▌
    Add Tools 11 · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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33. ▌
    Write Pr Description · databricks

    Write or improve a GitHub pull request description. Use when the user asks to "write a PR description", "improve the PR description", "update the PR body", or provides a PR URL and asks for a better description. Keywords: PR description, pull request summary, PR body, PR writeup.
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34. ▌
    Dbt Databricks Pr Ready · databricks bundle

    Use for an open dbt-databricks pull request, including your own PR or a fork PR, to assess merge readiness and optionally repair selected gaps on the PR head branch. Accepts a PR link or number and optional --auto.
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35. ▌
    Appkit UI Variants · databricks

    Builds a piece of UI in multiple variants, lets the developer pick one live in the browser, then finalizes the chosen variant into source
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36. ▌
    Tracer Bullets · databricks bundle

    {{if .plugins.agents -}}
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37. ▌
    Haiku · databricks bundle

    Format the final answer as a traditional 5-7-5 haiku. Use when the user asks for a haiku or a poetic reply.
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38. ▌
    Bullet Brief · databricks

    Format the final answer as a tight markdown bullet list — one idea per bullet, no preamble. Use when the user asks for a summary, a rundown, or to "keep it brief".
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39. ▌
    Routing Brief · databricks bundle

    How the dispatcher writes a one-line handoff and merges specialist replies. Per-agent skill — always visible to the query agent without opting in.
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40. ▌
    Bump Tf · databricks bundle

    Use when the user says 'bump the TF provider', 'bump terraform provider', 'update the terraform provider to <version>', 'bump TF to latest', or otherwise wants the pinned Databricks Terraform provider version raised and the new provider mappings pulled into the CLI.
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41. ▌
    Bump Sdk · databricks

    Use when bumping the databricks-sdk-go dependency, upgrading the Go SDK, updating the .codegen/_openapi_sha spec SHA, or moving the CLI to the SDK version used by a given Terraform provider release.
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42. ▌
    Pr Checklist · databricks

    Checklist to run before submitting a PR
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43. ▌
    Bump CLI Compat · databricks

    Bump cli-compat.json with new AppKit and Agent Skills versions, then create a PR. Use when the user says 'bump cli-compat', 'update cli-compat', 'bump compatibility manifest', 'new appkit release cli-compat', or wants to update the CLI compatibility manifest after an AppKit or Agent Skills release.
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44. ▌
    Onboard Team Area · databricks

    Onboard a new team or reserve a new code area in the Databricks CLI: add the team to .github/OWNERTEAMS, reserve experimental/<area>/ and acceptance/experimental/<area>/, and map both paths in .github/OWNERS so the maintainer-approval gate routes the area's PRs to the team. Use when the user says 'onboard a team', 'add an OWNERS team', 'reserve an experimental area', 'add a new team to the CLI', or wants a new owned directory wired into review.
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45. ▌
    Bump Serverless Env Version · databricks

    Use when bumping or upgrading the default serverless environment version shipped by Databricks bundle templates, including its coupled Python and DB Connect pins.
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46. ▌
    SEO Audit · databricks bundle

    When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," or "indexing issues." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup. For AI search optimization, see ai-seo.
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47. ▌
    Databricks · databricks bundle

    Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.
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48. ▌
    Agent Browser · databricks bundle

    Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
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49. ▌
    Databricks Apps · databricks bundle

    Build apps on Databricks Apps platform. Use when asked to create dashboards, data apps, analytics tools, or visualizations. Invoke BEFORE starting implementation.
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50. ▌
    Databricks Core · databricks bundle

    Databricks CLI operations: auth, profiles, data exploration, and bundles. Contains up-to-date guidelines for Databricks-related CLI tasks.
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51. ▌
    Databricks Jobs · databricks

    Develop and deploy Lakeflow Jobs on Databricks. Use when creating data engineering jobs with notebooks, Python wheels, or SQL tasks. Invoke BEFORE starting implementation.
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52. ▌
    Deploy To Vercel · databricks bundle

    Deploy applications and websites to Vercel. Use when the user requests deployment actions like "deploy my app", "deploy and give me the link", "push this live", or "create a preview deployment".
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53. ▌
    Databricks Lakebase · databricks

    Manage Lakebase Postgres Autoscaling projects, branches, and endpoints via Databricks CLI. Use when asked to create, configure, or manage Lakebase Postgres databases, projects, branches, computes, or endpoints.
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54. ▌
    Databricks Pipelines · databricks bundle

    Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
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55. ▌
    Resource Image Generator · databricks

    Generate on-brand 16:9 placeholder preview images for DevHub resources (recipes, cookbooks, examples) when a real app screenshot is not available. Use when you need to add, regenerate, or improve a resource's previewImageLightUrl / previewImageDarkUrl. Produces a light and a dark PNG at 1920x1080 that passes `npm run verify:images`, wires the images into `src/lib/recipes/recipes.ts`, and verifies them with agent-browser.
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56. ▌
    Author Recipes And Cookbooks · databricks bundle

    Author and maintain DevHub templates published at `developers.databricks.com/templates`. A template is the public name for any of three internal entry kinds — atomic snippets, multi-step end-to-end walkthroughs, and full deployable example apps. Use when creating, updating, or reorganizing any template-tier content.
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57. ▌
    Databricks App Design · databricks bundle

    Data App Design
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58. ▌
    Databricks Apps Python · databricks bundle

    Builds Databricks applications. Prefers AppKit (TypeScript + React SDK) for new apps; falls back to Python frameworks (Dash, Streamlit, Gradio, Flask, FastAPI, Reflex) when Python is required. Handles OAuth authorization, app resources, SQL warehouse and Lakebase connectivity, model serving, foundation model APIs, and deployment. Use when building web apps, dashboards, ML demos, or REST APIs for Databricks, or when the user mentions AppKit, Streamlit, Dash, Gradio, Flask, FastAPI, Reflex, or Databricks app.
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59. ▌
    Databricks Ml Training · databricks bundle

    Train ML or custom-agent models on Databricks with MLflow tracking and Unity Catalog registration. Use when asked to: train classification/regression or deep-learning models (XGBoost, scikit-learn, LightGBM, PyTorch, etc.) with Optuna tuning, register to UC and promote `@prod`/`@challenger` aliases, batch-score via `spark_udf`, build custom PyFunc models, author a custom `ResponsesAgent` with UC Function/Vector Search tools, or submit a training notebook as a serverless one-time job. NOT for: endpoint ops (databricks-model-serving), Knowledge Assistants/Supervisor Agents (databricks-agent-bricks), MLflow evaluation (databricks-mlflow-evaluation).
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60. ▌
    Databricks Agent Bricks · databricks bundle

    Create Agent Bricks: Knowledge Assistants (KA) for document Q&A and Supervisor Agents for multi-agent orchestration (MAS).
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61. ▌
    Databricks AI Functions · databricks bundle

    Use Databricks built-in AI Functions (ai_classify, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_query, ai_forecast) to add AI capabilities directly to SQL and PySpark pipelines without managing model endpoints. Also covers document parsing and building custom RAG pipelines (parse → chunk → index → query).
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62. ▌
    Databricks Metric Views · databricks bundle

    Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools.
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63. ▌
    Databricks Unity Catalog · databricks bundle

    Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with volume file operations (upload, download, list files in /Volumes/).
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64. ▌
    Databricks Zerobus Ingest · databricks bundle

    Build Zerobus Ingest clients for near real-time data ingestion into Databricks Delta tables via gRPC. Use when creating producers that write directly to Unity Catalog tables without a message bus, working with the Zerobus Ingest SDK in Python/Java/Go/TypeScript/Rust, generating Protobuf schemas from UC tables, or implementing stream-based ingestion with ACK handling and retry logic.
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65. ▌
    Databricks Aibi Dashboards · databricks bundle

    Create Databricks AI/BI dashboards. Must use when creating, updating, or deploying Lakeview dashboards as Databricks Dashboard have a unique json structure. CRITICAL: You MUST test ALL SQL queries via CLI BEFORE deploying. Follow guidelines strictly.
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66. ▌
    Databricks Serverless Migration · databricks bundle

    Migrate Databricks workloads from classic compute to serverless compute. Scans code for serverless compatibility issues, provides concrete fixes for the serverless Spark Connect architecture, and guides the full migration to serverless environments. Use for classic-to-serverless migrations, serverless code compatibility checks, or writing new serverless-compatible notebooks and jobs. Not for classic DBR version upgrades or cluster configuration changes within classic compute.
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67. ▌
    Databricks Unstructured PDF Generation · databricks bundle

    Build RAG / unstructured-document evaluation datasets and demo documents (e.g. for Knowledge Assistant) on Databricks: generate synthetic PDFs locally, upload to Unity Catalog volumes, and pair each document with test questions for retrieval evaluation.
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68. ▌
    Deploy · databricks

    Deploy agent to Databricks Apps using DAB (Databricks Asset Bundles). Use when: (1) User says 'deploy', 'push to databricks', or 'bundle deploy', (2) 'App already exists' error occurs, (3) Need to bind/unbind existing apps, (4) Debugging deployed apps, (5) Querying deployed app endpoints.
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69. ▌
    Quickstart · databricks

    Set up Databricks agent development environment. Use when: (1) First time setup, (2) Configuring Databricks authentication, (3) User says 'quickstart', 'set up', 'authenticate', or 'configure databricks', (4) No .env file exists.
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70. ▌
    Load Testing · databricks bundle

    Load test a Databricks App to find its maximum QPS. Use when: (1) User says 'load test', 'benchmark', 'QPS', 'throughput', or 'performance test', (2) User wants to find how many queries per second their app can handle, (3) User wants to set up load testing scripts for their agent, (4) User wants to view load test results/dashboard, (5) User wants to validate results or observe latency/error rate with MLflow tracing.
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71. ▌
    Lakebase Setup · databricks

    Configure Lakebase for agent memory storage. Use when: (1) Adding memory capabilities to the agent, (2) 'Failed to connect to Lakebase' errors, (3) Permission errors on checkpoint/store tables, (4) User says 'lakebase', 'memory setup', or 'add memory'.
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72. ▌
    Managed Memory · databricks

    Give an agent durable, cross-session long-term memory using Databricks MANAGED memory (the Unity Catalog memory-store REST APIs) as tools — governed by UC with no infra the customer needs to run. This works for either OpenAI Agents SDK or LangGraph templates. Use when: the agent should remember a user's (or a team/org's shared) preferences/facts/decisions across conversations; keywords 'long-term memory', 'managed memory', 'memory store', 'agentic memory'. This is separate from the self-hosted Lakebase memory solution with skills in (agent-openai-memory / agent-langgraph-memory).
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73. ▌
    Supervisor API · databricks

    Replace the client-side agent loop with Databricks Supervisor API (hosted tools + client-side function tools). Use when: (1) User asks about Supervisor API, (2) User wants Databricks to run the agent loop server-side, (3) Connecting Genie spaces, UC functions, agent endpoints, or MCP servers as hosted tools, (4) Mixing client-side function tools (Python callables your app executes) with hosted tools.
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74. ▌
    Add Tools · databricks bundle

    Add tools to your agent and grant required permissions in databricks.yml. Use when: (1) Adding MCP servers, Genie spaces, vector search, or UC functions to agent, (2) Permission errors at runtime, (3) User says 'add tool', 'connect to', 'grant permission', (4) Configuring databricks.yml resources.
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75. ▌
    Agent Openai Memory · databricks

    Add memory capabilities to your agent. Use when: (1) User asks about 'memory', 'state', 'remember', 'conversation history', (2) Want to persist conversations or user preferences, (3) Adding checkpointing or long-term storage.
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76. ▌
    Long Running Server · databricks

    Enable long-running background task support with LongRunningAgentServer. Use when: (1) Agent tasks may exceed HTTP timeout (~120s), (2) User wants background/async execution, (3) User says 'long running', 'background tasks', or 'async agent'.
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77. ▌
    Modify Agent · databricks

    Modify agent code, add tools, or change configuration. Use when: (1) User says 'modify agent', 'add tool', 'change model', or 'edit agent.py', (2) Adding MCP servers to agent, (3) Changing agent instructions, (4) Understanding SDK patterns.
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78. ▌
    Agent Memory · databricks bundle

    Add memory capabilities to your agent. Use when: (1) User asks about 'memory', 'state', 'remember', 'conversation history', (2) Want to persist conversations or user preferences, (3) Adding checkpointing or long-term storage.
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79. ▌
    Migrate From Model Serving · databricks

    Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.
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80. ▌
    Supervisor API Background Mode · databricks

    Enable Supervisor API background mode for long-running agent tasks. Use when: (1) Agent needs to run tasks longer than HTTP timeout limits, (2) User says 'background mode', 'long-running', 'supervisor api', (3) Converting from streaming to background polling pattern, (4) Agent needs resilience to connection drops during execution.
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81. ▌
    Run Locally · databricks

    Run and test the TypeScript LangChain agent locally. Use when: (1) User wants to test locally, (2) User says 'run locally', 'test agent', 'start server', or 'dev mode', (3) Debugging issues.
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82. ▌
    Discover Tools · databricks

    Discover available tools and resources in Databricks workspace. Use when: (1) User asks 'what tools are available', (2) Before writing agent code, (3) Looking for MCP servers, Genie spaces, UC functions, or vector search indexes, (4) User says 'discover', 'find resources', or 'what can I connect to'.
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83. ▌
    Supervisor API Client Function Calling · databricks

    Add client-side function tools to the Supervisor API. Use when: (1) User wants to mix Python callables with hosted tools, (2) User asks about function tools with Supervisor API, (3) User needs to execute custom business logic alongside hosted tool calls.
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