dlt-dagster

dlt-dagster is a Data pipelines & ETL skill for AI agents, published by untitled-data-company in the data-skills repository on GitHub. Skillspace rates dlt-dagster D (69/100) and it passed the safety scan; the rating is based on static analysis only.

Runs dlt pipelines in Dagster as software-defined assets (Component or Pythonic @dlt_assets) or as a single standard Dagster asset. Use when orchestrating dlt with Dagster; scaffolding loads.py/defs.yaml; jobs/schedules; secrets/env; incremental/backfill via apply_hints; parallelization (one asset per resource); Dagster Cloud deployment; or external compute (ECS, Fargate — refer to dagster-integrations). Triggers: dagster-dlt, dlt on Dagster, deploy dlt with Dagster, standard Dagster asset, external compute.

Grade
D
Quality
69 / 100
Safety
Passed
GitHub stars
20

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 GitHubuntitled-data-company/data-skills

Our review

Architecture
78 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
MIT
Adoption
Adopted by 0 other repositories, in 0 collections

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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