Data pipelines & ETL

The top-rated launch-quality Data pipelines & ETL skill for AI agents is dlt-connector (grade B), followed by ingesting-data and ray-data. Skillspace rates 606 Data pipelines & ETL skills; 107 are launch-quality.

Batch pipelines, orchestration (Airflow, Dagster, Prefect), ingestion and transformation.

Launch-quality skills first, then by grade, then by our Skill Score, which adds judge reviews, test results, GitHub stars and adoption.

  1. dlt-connector B
  2. ingesting-data B
  3. ray-data B
  4. datachain-knowledge B
  5. agentsociety-create-dataset B
  6. portaljs-migrate B
  7. migrating-dagster-to-airflow B
  8. motherduck-build-data-pipeline B
  9. data-importer B
  10. data-pipelines B
  11. motherduck-load-data B
  12. sales-data-pipeline B
  13. document-to-data-room-extractor B
  14. document-to-warehouse-pipeline B
  15. report-generator-pipeline B
  16. report-renderer B
  17. data-loader B
  18. data-transformer B
  19. cwl-commandlinetool-starter B
  20. seamless-adoption B
  21. docker-databricks-lab-ops B
  22. pooch B
  23. databricks-synthetic-data-gen C
  24. coral-create-source-spec C
  25. refresh-semantic-model C

Frequently asked questions

What is the best Data pipelines & ETL skill for AI agents?

The top-rated launch-quality Data pipelines & ETL skill for AI agents is dlt-connector (grade B), followed by ingesting-data and ray-data. Skillspace rates 606 Data pipelines & ETL skills; 107 are launch-quality.

How does Skillspace rate Data pipelines & ETL skills?

Skillspace grades every Data pipelines & ETL skill from A to F with a published scoring engine that reads the skill's SKILL.md: architecture and maturity make the score, and a security scan can cap it. In crowded categories, a judge model also compares the strongest contenders side by side, and some skills are tested head-to-head on real tasks against other skills in the same category (including a deliberately weak one) and a no-skill baseline. Launch-quality skills are graded A to C with a clean safety verdict, and not excluded by a quality filter: the filters catch skills our model's safety screen flags for prompt injection, guardrail bypass, harmful content or credential exposure; test fixtures and attack benchmarks; skills written only for the repository they live in; templates and stubs; and near-duplicate variants and copies of other skills. Ratings were last updated on 24 September 2026; the full method is on the methodology page.

Are Data pipelines & ETL skills safe to install?

Of the 606 Data pipelines & ETL skills Skillspace rates, 559 passed its safety scan with no flag from its model, and 47 are flagged: 8 for review, 32 as risky, 5 as unsafe, 1 as an attack benchmark and 1 as a test fixture. Each skill's page shows its safety verdict. A pass is not a guarantee: the scan reads only the skill's SKILL.md, not the scripts or other files it ships, and looks for patterns such as piping a remote script into a shell, reading credentials or hiding actions from the user. Skills are third-party code that Skillspace indexes but does not host or endorse, so read a skill's source on GitHub before you install it.

Skillspace indexes and rates skills; it does not host or endorse them. Run third-party skills at your own risk.