Content
78%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 is well-structured and actionable, with strong progressive disclosure pointing to verified reference files. Workflow clarity is good but could surface validation checkpoints more explicitly inline rather than delegating them to referenced files.
Suggestions
Add explicit inline validation/verification checkpoints (e.g., a 'Verify equivalence' step) directly within the 7-step Migration Workflow rather than only referencing them in mass-data-filtering-strategy.md.
Inline one short before/after DQL example in the body to make the migration pattern immediately executable without loading references/examples.md.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence, using compact tables and step lists without explaining DQL basics; only minor sections could be tightened further. | 4 / 5 |
Actionability | Concrete guidance via exact construct names, replacement primitives (smartscapeNodes, traverse, getNodeField()), and explicit mapping tables; some operational detail is deferred to reference files, leaving minor gaps. | 4 / 5 |
Workflow Clarity | A clear 'Start here' classification branches into a 7-step Migration Workflow with referenced verification gates (fieldsSnapshot gates, equivalence verification); inline validation checkpoints within the 7-step list itself are mostly implicit rather than explicit. | 4 / 5 |
Progressive Disclosure | SKILL.md is a clear overview with well-signaled, one-level-deep references; every referenced file exists, content is appropriately split, and a dedicated References section lists each file with a one-line description. | 5 / 5 |
Total | 17 / 20 Passed |