databricks-bundle-deployPackage and deploy Databricks Asset Bundles with proper parameterization, multi-environment support, and serverless compute. Handles project structure, databricks.yml generation, validation, and deployment. Use when packaging tested code for production,…databricks-data-engineeringProduction data engineering pipelines following medallion architecture (Bronze/Silver/Gold layers) with data ingestion, transformation, quality checks, Delta Lake optimization, and orchestration. Use when building ETL pipelines, medallion architecture, data…databricks-ml-pipelineEnd-to-end machine learning pipelines on Databricks including data exploration, feature engineering, model training with hyperparameter optimization, MLflow experiment tracking, model registration to Unity Catalog, and deployment as DABs. Use when building ML…databricks-testingExecute code on Databricks clusters using MCP Command Execution API. Supports stateless quick validation and stateful iterative development. Use when testing Python/SQL code on clusters, debugging pipelines, or validating transformations.databricks-unity-catalogManage Unity Catalog resources including catalogs, schemas, and tables. Handles discovery, creation, updates, and deletions with proper naming conventions and governance. Use when exploring catalogs, creating schemas, managing tables, or setting up data…
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databricks-solutions · Dépôts et skills représentatifs - Page 2
Vue par dépôt de 234 skills collectés dans 29 dépôts GitHub.
asyncioUse when debugging event loop hangs, task scheduling issues, call_soon vs call_soon_threadsafe confusion, Future callback timing, _enter_task/_leave_task conflicts, GIL contention patterns, per-step vs per-drive task context, uvloop compatibility problems,…rustStrict set of rules in terms of codebase development, design patterns, and best practices. Use when the user wants to develop a new feature or refactor existing code.apxQuick reference for building full-stack Databricks Apps with apx (React + FastAPI). Use when working on apx projects, creating routes, adding components, or managing dev servers.commiterCreate git commits with emoji prefixes and conventional commit messages. Use when the user wants to commit changes, push code, or asks to use "just pm" command.
databricks-solution-builderGenerate comprehensive specification files for building Databricks assets, demos or end 2 end projects. Use when users want to create a new demo, design a demo story, or need help structuring demo components, create an entire project. This skill creates…databricks-architectureCreate or edit a Databricks solution-architecture diagram — a Lucidchart-style platform diagram (sources → Lakeflow/Genie pipeline → lakehouse/lakebase → dashboards, Genie, apps → end user, on a governed platform). Use when someone wants to draw, generate, or…loyalty-segmentation-adaptationConfigure and run the Harvestly Co. loyalty segmentation demo in the user's Databricks workspace. Use when the user is working in (or has imported) the loyalty-segmentation project AND says any of "run in my workspace", "set this up", "configure for my…demo-slug-adaptationConfigure, run, and adapt the {{demo-name}} demo in the user's Databricks workspace. Use when the user is working in (or has imported) the {{demo-slug}} project AND says any of "run in my workspace", "set this up", "configure for my workspace/catalog/schema",…
consortConsort, a spec-first, test-driven agent framework for building transactional applications on Lakebase-paired projects: a deterministic orchestrator drives role agents through a spec-first design lane (Spec Driven Development) and a Test Driven Development…software-design-principlesFoundational engineering canon – SOLID, DRY, clean code, layered architecture, cross-cutting concerns, NFRs. Imported by workflow skills (consort, lakebase-scm-workflows). Use when designing a module, reviewing a PR, planning a refactor, mapping cross-cutting…architectural-design-principlesSystem-level engineering canon, the architecture counterpart to software-design-principles. Layered architecture + dependency direction, ports and adapters (repository / ORM-as-adapter), the twelve-factor app for cloud-native development, evolutionary…ui-ux-design-principlesExperience-level engineering canon, the UI/UX counterpart to software-design-principles (code-level) and architectural-design-principles (system-level). Usability heuristics, visual hierarchy, accessibility, interaction and feedback, information architecture,…
pii-managementIdentify and label PII columns in SDP pipeline tables. Use when creating or modifying tables that contain customer or personal data. Includes detection patterns, table property labeling, column annotation, and masking guidance. Always generate SDP pipelines…sdp-basicsApply basic SDP pipeline best practices for table naming, comments, and table properties. Use when creating or modifying tables in Spark Declarative Pipelines. Always generate SDP pipelines using SQL, not Python.sentiment-analysisBuild sentiment-analysis datasets in SDP pipelines using built-in Databricks AI functions (ai_analyze_sentiment, ai_classify, ai_extract, ai_summarize, ai_query). Use when creating or modifying tables that derive sentiment, topics, or entities from free-form…table-governanceEnforce table and column documentation standards across all tables. Use for every table you create or modify. Covers COMMENT clauses, TBLPROPERTIES, column descriptions, PII labeling at the table level, and Unity Catalog tags. This is the baseline governance…
managed-memoryGive 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.…agent-memoryAdd 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.agent-openai-memoryAdd 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.unity-ai-gateway-model-serviceCreate, configure, query, and govern Databricks Unity AI Gateway "model services" (UC securables at catalog.schema.service that front FMAPI models), and wire a deployed Mosaic AI agent endpoint to call one. Covers the live 2.1 REST API (create-or-get,…
contribute-lakebase-exampleEnd-to-end guide for contributing a new example to the Lakebase Cookbook repository. Use when a contributor wants to add, build, document, or submit a Lakebase example (a new example folder under a category dir + its cookbook site doc page). Orchestrates…document-lakebase-exampleAdd a Lakebase Cookbook example's documentation page to the Astro site and wire it into the sidebar, docs index, and landing-page data. Use after an example folder exists and needs to appear on lakebase-cookbook.com. Implements CONTRIBUTING.md section 4.…scaffold-lakebase-exampleScaffold a new Lakebase Cookbook example folder — a snake_case directory under a category folder (agents/, apps/, developer_experience/, data/) with a Databricks Asset Bundle (databricks.yml + resources/), pyproject.toml (uv), README.md, .env.example, and…verify-lakebase-exampleVerify a Lakebase Cookbook contribution before opening a PR — lint with ruff, validate the Databricks Asset Bundle, build the Astro site, check for committed secrets, and produce the CONTRIBUTING.md PR checklist. Use when a contributor is ready to submit or…
databricks-spark-declarative-pipelinesCreates, configures, and updates Databricks Lakeflow Spark Declarative Pipelines (SDP/LDP) using serverless compute. Handles streaming tables, materialized views, CDC, SCD Type 2, and Auto Loader ingestion patterns. Use when building data pipelines, working…databricks-synthetic-data-genGenerate realistic synthetic data using Spark + Faker (strongly recommended). Supports serverless execution, multiple output formats (Parquet/JSON/CSV/Delta), and scales from thousands to millions of rows. For small datasets (<10K rows), can optionally…databricks-zerobus-ingestBuild 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…
screenshot-guideTurn a reference doc, a folder of screenshots, and optional prompts into a published Starter Journey screenshot guide. Use when adding a step-by-step click-through guide to the docs site.humanizerRemove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism,…