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databrickslabs/lakeflow-community-connectors

SkillsMP has collected 16 skills from databrickslabs/lakeflow-community-connectors. Open a skill to review its source and details.

Latest recorded source activity
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skills collected
16
GitHub stars
65
GitHub forks
120

Skills in this repository

Showing 16 of 16 collected skills.

occupation
Software Developers
description

Guide the user through creating or updating a pipeline for a source connector — read the docs, build a pipeline spec interactively, and run create_pipeline or update_pipeline.

updated
occupation
Software Developers
description

Generate public-facing documentation for a connector targeted at end users.

updated
occupation
Software Developers
description

Set up authentication for a source connector — generate connector spec, collect credentials interactively, and validate auth.

updated
occupation
Software Developers
description

Run the authenticate script to collect credentials from the user via a browser form.

updated
occupation
Software Developers
description

Generate the connector spec YAML file defining connection parameters and external options allowlist.

updated
occupation
Software Quality Assurance Analysts & Testers
description

Single step only: audit a completed connector — implementation, testing & simulator validation, artifacts, security smells, cross-doc consistency — and produce a scored markdown review report. Read-mostly; does not modify connector code.

updated
occupation
Software Quality Assurance Analysts & Testers
description

Generate and run an auth verification test to confirm that collected credentials are valid.

updated
occupation
Software Developers
description

Single step only: implement the connector in Python when the API doc already exists. Do NOT use for full connector creation — use the create-connector agent instead.

updated
occupation
Software Developers
description

Create a pyproject.toml for a source connector and build it as an independent Python package.

updated
occupation
Software Quality Assurance Analysts & Testers
description

Single step only: run the per-source pytest suite, diagnose failures, and fix the connector or simulator until everything passes. Branches on mode={simulate|record}. Do NOT use for full connector creation — use the create-connector agent instead.

updated
occupation
Software Quality Assurance Analysts & Testers
description

Implement test utilities that write test data to the source system and validate end-to-end read cycles.

updated
occupation
Software Quality Assurance Analysts & Testers
description

Validate that a connector's CDC/incremental sync implementation correctly tracks offsets and filters records.

updated
occupation
Software Developers
description

Single step only: implement a partitioned connector that extends SupportsPartitionedStream (or SupportsPartition) alongside LakeflowConnect. Do NOT use for full connector creation — use the create-connector agent instead.

updated
occupation
Software Developers
description

Research and document write/create APIs of a source system to enable write-back testing functionality.

updated
occupation
Software Developers
description

Single step only: research and document a source API when explicitly asked. Do NOT use for full connector creation — use the create-connector agent instead.

updated
occupation
Software Developers
description

Migrate a legacy source connector from the old sources/ directory to the new package structure under src/databricks/labs/community_connector/sources/.

updated
Showing 16 of 16 collected skills.