Skills for “ci”

…App, and automate those steps over the Apps API or a CI/CD pipeline. Use whenever the user wants to publish, deploy, ship, launch, release or host an app (React/Vite, Streamlit, Dash, Flask, Shiny, Gradio,…

…Python SDK, dr-cli, Agent Assist, and all required dependencies. Use when the user has not yet worked with DataRobot on this machine, OR when any DataRobot task fails due to missing or invalid credentials. Covers…

…or find and fix gaps (secrets, unpinned models, missing CI, missing guardrails, over-permissioned identity, etc.) before deploying an agent to production. Works on any repository, not only ones built with…

…and governance. Use when the user says "add tracing/observability/monitoring to my agent", wants to instrument an existing agent project in their IDE, wants to send agent traces, logs, or metrics to…

Guidance for setting up CI/CD pipelines for DataRobot application templates using GitLab, GitHub Actions, and Pulumi for infrastructure as code. Use when setting up CI/CD pipelines, configuring deployments, or managing…

Use ONLY when the user explicitly asks to see, show, graph, visualize, chart, or plot data, or when another loaded Datadog data-domain skill directs you to visualization guidance. This is the plugin's local copy of the…

…query metrics, inspect APM traces, investigate SLOs or incidents, debug production issues, investigate errors, analyze performance, investigate a named service's health, errors, or dependencies, or access any Datadog…

Use ONLY when the user explicitly asks to create, scaffold, or initialize a new Datadog App project — they must use action words like "create", "scaffold", "new", or "build" together with "Datadog App" or…

…deploying, scheduling or editing a job or pipeline, or deciding its compute. Invoke BEFORE writing a job spec. For migrating existing classic workloads, use…

MLflow tracing and observability on Databricks. Use when getting started with MLflow, instrumenting GenAI apps and agents, retrieving and analyzing traces, debugging chat sessions, or querying aggregate trace metrics on…

…for: classification/regression/deep-learning (XGBoost, scikit-learn, LightGBM, PyTorch) with Optuna, @prod/@challenger aliases, batch scoring (spark_udf for plain models, fe.score_batch for feature-store-backed),…

…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 Agent). For data questions across the…

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,…

把需要长期跟踪的业务、关系、健康、职业、学习或投资问题建成本地决策知识工程。用户要求决策立案、结果回填、状态画像或长期复盘时使用。

Follow the reduced principles when writing or changing code. Every change follows First Make it Work, then Then Make it Right, then Follow Practice. Use when the user runs /ub-mode or asks for the reduced principles.

Create, redesign, refine, or review web interfaces with product-specific visual design and usable interactions.

…or reviewing web interfaces that should feel calm, precise, functional, and visually restrained. Applies minimalist UI principles inspired by Ludwig Mies van der Rohe, Louis Sullivan, Massimo Vignelli, Josef…

Structured Socratic tutoring when the user explicitly asks to be taught, quizzed, or drilled to mastery on a topic: diagnostic placement, a skill map with levels 0-5, spaced review, and a final assessment. Trigger…

…fixes. Use when reviewing design docs, READMEs, feature specifications, implementation plans, or verifying document completeness and…

The Elephant resolution skill. Ingests flat deficiency reports from concurrent Goldfish reviewers, applies automated fixes for PROPOSE FIX items via UI multiple-choice gates, and presents interactive negotiation/re-sync…