databricks-lakeflow-connect

databricks-lakeflow-connect is a Data pipelines & ETL skill for AI agents, published by ThomazRossito in the data-agents repository on GitHub. Skillspace rates databricks-lakeflow-connect D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Patterns and best practices for LakeFlow Connect — Databricks native managed ingestion for streaming data from SaaS applications and databases into Unity Catalog. Use when setting up CDC from databases (PostgreSQL, MySQL, SQL Server, Oracle), ingesting from SaaS sources (Salesforce, ServiceNow, Workday, NetSuite), configuring incremental ingestion pipelines, monitoring connector health and lag, or troubleshooting ingestion failures.

Grade
D
Quality
62 / 100
Safety
Passed
GitHub stars
31

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubThomazRossito/data-agents

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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