Content
82%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 high-quality, action-dense body: complete executable examples for every workflow stage, explicit success/failure gating, and well-organized sections with clearly signaled one-level-deep external references. Remaining headroom is minor trimming, an explicit failure-recovery loop, and slightly leaner inline link formatting.
Suggestions
Trim the four-object glossary (DataSource/DataAsset/BatchDefinition/ExpectationSuite) to one line or defer it to the linked gx-overview doc, and drop the repeated `import great_expectations as gx` / `gx.get_context()` boilerplate from the Checkpoint example.
Add a short feedback loop after the triage section — e.g. fix the offending data or adjust the expectation, re-run the checkpoint, and only then confirm `result.success` — to make the recovery path explicit.
Move the Checkpoint Actions detail (SlackNotificationAction/UpdateDataDocsAction kwargs) into a reference file and keep only the action-list pattern inline, which would also reduce inline link-marker noise in the prose.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is code-dominant and free of padding — no explanation of concepts Claude already knows, and every section delivers library-specific detail (e.g. "result_format controls how much detail the Validation Result carries", the two-row result-field table). Not 5: minor trimmable material remains — the four-object glossary bullets duplicate the linked overview doc, and the Checkpoint example re-imports `great_expectations as gx` and re-calls `gx.get_context()` already shown above; not 3: there is no unnecessary explanation or padding of the kind the 'mostly efficient' anchor describes. | 4 / 5 |
Actionability | Every stage ships copy-paste-ready, complete code: suite authoring with real expectation kwargs (`ExpectColumnValuesToBeBetween(column="discount_percent", min_value=0, max_value=100)`), `validation_definition.run(batch_parameters={"year": "2026"})`, a full Checkpoint with Actions and `result_format`, a failure-triage loop, and a CI gate script plus workflow YAML — covering the common cases. Not 4: there are no gaps; the examples are executable as written rather than 'concrete with minor gaps'. | 5 / 5 |
Workflow Clarity | The sequence (author → run via ValidationDefinition or Checkpoint → parse result → gate CI) is clearly laid out with explicit verification checkpoints: the triage loop iterating `if not r.success`, `sys.exit(1)` on failure, and `if: always()` to preserve the Data Docs artifact for triage. Not 5: there is no explicit fix-and-re-run feedback loop or recovery checklist — the workflow stops at detection and gating; not 3: validation checkpoints are present and explicit, so the 'checkpoints missing' cap does not apply. | 4 / 5 |
Progressive Disclosure | No bundle files exist, so everything lives in SKILL.md; the ~215-line body is well-sectioned with a consolidated References section, and the four external doc links are one level deep and clearly labeled. Not 5: the inline reference markers scattered through prose ("([gx-overview][1])") are a bit noisy, and detail like the SlackNotificationAction kwargs could live in a reference file to keep the overview leaner; not 3: structure is clear and references are well-signaled, not buried. | 4 / 5 |
Total | 17 / 20 Passed |