Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid instructional skill that provides a clear multi-step methodology for tracing upstream data lineage in Airflow environments. Its strengths are the logical step sequence, concrete CLI commands, and useful output template. Its weaknesses are the lack of validation checkpoints in the workflow, somewhat verbose output formatting guidance, and illustrative rather than executable code examples.
Suggestions
Add explicit validation checkpoints, e.g., after Step 2 confirm the DAG actually writes to the target table before proceeding, and after Step 4 verify completeness of the lineage chain.
Make code examples more executable — for instance, show a complete sequence of CLI commands with expected output patterns rather than just SQL fragments.
Consider moving the detailed output template (Lineage Report section) to a separate reference file to keep the main skill focused on the investigation process.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is reasonably efficient but includes some unnecessary elaboration. The external sources list, file sources section, and the detailed output template with Data Quality Implications section add bulk. Some sections like 'On Astro' vs 'On OSS Airflow' are brief but could be tighter. Overall mostly efficient with room to trim. | 2 / 3 |
Actionability | Provides concrete CLI commands (af dags list, af dags source, af tasks list) and SQL pattern examples, which is good. However, the code examples are illustrative rather than executable — the SQL snippets are fragments, the lineage diagram is ASCII art for output formatting, and there's no complete executable workflow. The guidance is specific enough to follow but falls short of copy-paste ready. | 2 / 3 |
Workflow Clarity | The 5-step sequence is clearly laid out and logically ordered, with Step 4 showing recursive tracing. However, there are no explicit validation checkpoints — no verification that the correct DAG was found, no confirmation that all sources were identified, and no feedback loop for when tracing hits a dead end or ambiguous source. For a multi-step investigative process, these gaps matter. | 2 / 3 |
Progressive Disclosure | The skill references several related skills (checking-freshness, debugging-dags, etc.) which is good for navigation. However, with no bundle files, these references are unverifiable. The content itself is somewhat long and monolithic — the detailed output template section and the column lineage section could potentially be separate files. The structure is decent but the inline content is heavy for a single SKILL.md. | 2 / 3 |
Total | 8 / 12 Passed |