Content
42%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.
The body's core assets — the mandatory codebase-access gate and the exact documentation templates — are genuinely valuable and concrete. However, the skill is bloated by generic connector-detection catalogs Claude already knows, gives no executable guidance on how to extract the required data from .dig/.yml files, and lacks validation steps to confirm the generated documentation contains only real extracted data. Everything lives in one monolithic file with no progressive disclosure.
Suggestions
Cut or drastically compress the 'Layer-Specific Intelligence' section: Claude already knows what OAuth, Kafka topics, or updated_at fields are — keep only the project-specific signals that identify each pattern in .dig/.yml configs (e.g., 'td_authentication_id implies the auth block', 'a + operator in the query implies incremental').
Add a validation step after documentation generation: re-open datasources.yml and the .dig workflows and verify every documented table name, incremental field, and schedule matches the configs, confirming no generic placeholders leaked through.
Move the parent-page and child-page templates into references/templates.md and reference them from SKILL.md, keeping the main file to the access gate, the detection signals, and navigation — cutting its size by more than half.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~380-line body pads several sections with generic knowledge Claude already has — e.g. 'Detects: endpoint URLs... HTTP methods (GET, POST, PUT)', 'Kafka topics/consumer groups', 'updated_at, modified_at, created_at fields' — in repetitive Detects/Documents blocks, and the closing Summary repeats earlier content. Not a 1 because the template and codebase-access sections carry genuine, non-obvious value. | 2 / 5 |
Actionability | The codebase-access gate is fully concrete (exact refusal message, 'Use Glob to verify files exist') and the documentation template is a copy-paste-ready exact structure, but the detection sections are descriptive rather than instructive — no commands or patterns for how to actually extract connector types, table names, or incremental fields from .dig/.yml files. This is the 'some concrete guidance but incomplete' anchor, not the 'minor gaps' level above. | 3 / 5 |
Workflow Clarity | A real pre-flight sequence exists ('1. Ask for codebase path if not provided 2. Use Glob to verify files exist 3. STOP if cannot read files'), but there are no post-generation validation checkpoints — the 'NO generic placeholders. Only real, extracted data.' rule is stated yet never verified against the source configs, leaving the sequence with implicit rather than explicit checkpoints. | 3 / 5 |
Progressive Disclosure | No bundle files exist (references/, scripts/, assets/ are absent) and the full parent/child page templates plus detection matrices are inlined in one long SKILL.md. Section headers provide some structure, but content that clearly belongs in separate reference files (the two page templates) is inline, which is the 'some structure, should be separate' anchor rather than the 'mostly well-placed' one. | 3 / 5 |
Total | 11 / 20 Passed |