flowx-convertTranslate parsed ADF pipeline AST into Databricks IR (intermediate representation). Runs deterministic translators for known activity types, then performs agentic (LLM-assisted) translation for the remaining gaps.flowx-discoverLoad and parse Azure Data Factory pipeline definitions from Unity Catalog volumes or local directories. Produces a typed inventory that classifies every activity as deterministic, agentic, or unsupported.flowx-migrateEnd-to-end migration of Azure Data Factory pipelines to Databricks Lakeflow Jobs. Orchestrates discover, convert, and package phases in sequence.flowx-setupPrepare flowx to run its phases (discover, convert, package, migrate). In Databricks Genie Code this deploys the phases as an MCP server (a Databricks App) and creates NO virtual environment — all code runs through MCP. Everywhere else it provisions a Python…flowx-packageGenerate Databricks Declarative Automation Bundles (DABs) from translated IR, including job definitions, notebooks, and setup scripts.
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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,…
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,…