databrickslabs AI Skills

Browse published AI skills maintained by databrickslabs. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

8

Repository stars across indexed skills

104

Repository forks

400

Average repository stars per indexed skill

13

Repository stars may repeat across skills from the same repository.

Popular categories

Recent indexing activity

GitHub

write-back-testing

databrickslabs

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

☆ 13View skill

GitHub

create-connector-document

databrickslabs

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

☆ 13View skill

GitHub

test-and-fix-connector

databrickslabs

Validate a connector by running the test suite, diagnosing failures, and applying fixes until all tests pass.

☆ 13View skill

GitHub

generate-connector-spec

databrickslabs

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

☆ 13View skill

GitHub

document-source-write-back-api

databrickslabs

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

☆ 13View skill

GitHub

understand-source

databrickslabs

Research and document APIs of a source system to enable connector implementation.

☆ 13View skill

GitHub

validate-incremental-sync

databrickslabs

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

☆ 13View skill

GitHub

implement-connector

databrickslabs

Implement a Python connector that conforms to the LakeflowConnect interface for data ingestion.

☆ 13View skill

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.