Content
76%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A strong, highly actionable mapping skill: every Dagster check pattern gets executable before/after code with precise gotchas (logic inversion, threshold syntax verified against the live validator). The main gaps are a duplicated example that wastes tokens, the absence of an explicit migration workflow with a validation step for generated YAML, and no offloading of the per-integration detail into reference files.
Suggestions
Add a short numbered migration sequence (identify checks → map each to an integration_job → set error/warn thresholds → chain depends_on → validate the pipeline JSON against /pipelines/schema) with an explicit validate-before-deploy checkpoint.
Remove the duplicate no_null_order_ids example — the Before/After section repeats the full check from the pattern-mapping section; one canonical instance (or a one-line cross-reference) would suffice.
Move the per-integration job table and warehouse-specific variants into a references/ file, keeping SKILL.md as the pattern-mapping overview with clearly signaled links.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense and example-driven with no concept padding — it never explains what Dagster or SQL is — but the no_null_order_ids check appears in full twice (Dagster Pattern Mapping and Before/After Example) and task boilerplate (depends_on, condition, tags) repeats verbatim across YAML blocks. These are minor instances of trimmable redundancy rather than over-explanation. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready Python and Orchestra YAML for every major Dagster check pattern: full @asset_check conversion, WARN-severity handling (treat_failure_as_warning), dbt tests via DBT_CORE_EXECUTE, great_expectations via PYTHON_EXECUTE_SCRIPT with set_outputs, schema validation parameters, and precise threshold syntax with a confirmed validator behavior ('== 0' rejected). | 5 / 5 |
Workflow Clarity | Content is organized as per-pattern mappings plus a full before/after pipeline that shows sequencing implicitly (stage-quality depends_on stage-load), but there is no explicit migration sequence (identify checks → map → set thresholds → wire dependencies) and no validation checkpoint for the generated YAML, even though the Gotchas section itself cites Orchestra's /pipelines/schema validator as a live verification tool. | 3 / 5 |
Progressive Disclosure | No bundle files exist, so all content is inline in a ~250-line body, but it is well organized under clear headers (Test Job Pattern, integration mapping table, per-pattern sections, Gotchas, Alerts) with clearly signaled one-level external references. The integration-job table and per-warehouse example variants could arguably move to a reference file, which keeps this from a 5. | 4 / 5 |
Total | 16 / 20 Passed |