AI tools for “ui”

…— mapped to concrete AppKit components. Use when BUILDING or reviewing the UI of an AppKit/React app that displays data or answers data questions: choosing genre, layout, charts, KPIs, semantic color, required…

…test ALL SQL queries via CLI BEFORE deploying. Follow guidelines…

Use Databricks built-in AI Functions (ai_classify, ai_decide, ai_extract, ai_summarize, ai_mask, ai_translate, ai_fix_grammar, ai_gen, ai_analyze_sentiment, ai_similarity, ai_parse_document, ai_prep_search, ai_query,…

Build custom Python data sources for Apache Spark using the PySpark DataSource API — batch and streaming readers/writers for external systems. Use this skill whenever someone wants to connect Spark to an external system…

…(or the project-local equivalent), and keep the token out of opencode.json. Use when the user wants to set up Dash0, enable telemetry, paste credentials, change the team or dataset,…

…Metric Views, and documents in UC volumes. Use when building, migrating, tuning, or asking a specific Agent, and for document Q&A or docs + data agents (replaces the legacy Knowledge Assistant and Supervisor…

IDMP panel build workflow. Resolve owner, reserve names, create panel objects, verify query and SQL output, place panels into dashboards, and clean up safely.

IDMP data import/export skill. Use it to inspect exportable root elements, review import/export records, download artifacts, and distinguish package export, artifact download, and import flows.

…panels, create analyses or panels from prompts, and distinguish chat recording from draft recommendation usage…

…use action words like "create", "scaffold", "new", or "build" together with "Datadog App" or "@datadog/apps" or "npm create @datadog/apps". Do NOT use for any question that does not involve creating a new project…

Build RAG / unstructured-document evaluation datasets and demo documents (e.g. for a Genie Agent with an attached volume) on Databricks: generate synthetic PDFs locally, upload to Unity Catalog volumes, and pair each…

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,…

…Datadog data-domain skill directs you to visualization guidance. This is the plugin's local copy of the `datadog/visualizations` server skill; prefer it over fetching the server…

Use when the user wants to design, build, code, or deploy an AI agent on DataRobot; mentions agent_spec.yaml, dress rehearsal, the DataRobot agent template, LangGraph, CrewAI, LlamaIndex, NAT, Base agents, MCP servers,…

Use when the user wants to design, build, code, simulate, or deploy an AI agent (not a predictive model) to DataRobot; mentions agent_spec.yaml, dr-assist, datarobot-agent-assist, dress rehearsal, swarm simulation, or…

…disclosure, or should be chunked without changing…

…debug, or execute SQL; answer a data question that requires SQL; calculate a metric; query named tables; or investigate SQL results with DataHub MCP tools available. Always begin with find_sql_context, even when…

IDMP OpenAPI explorer skill. Use it to inspect schema paths, required inputs, and generated commands; fall back to raw API only after schema and generated commands are exhausted.

Build a deduplicated table of matches for a set, using Tavily. The table is what search returned, not every match that exists. Use when the user wants a list, all of something, or a table with duplicates removed.…

Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants to implement web search, content extraction, crawling, and research in agentic…