Content
75%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 well-structured, actionable reference catalog with real examples, a decision tree, and validation-aware review workflow. Conciseness and progressive-disclosure are good but not maximal due to a few trimmable asides and dense inline tables.
Suggestions
Trim explanatory asides that restate why a rule exists (e.g. 'anti-aliasing and font metrics differ') to lift conciseness toward 5.
Split the large anti-patterns and severity-tiering tables into a referenced file if the skill grows, to improve progressive disclosure.
Add framework-specific update CLI flags (e.g. Vitest `-u`, pytest-snapshot `--update-snapshots`) alongside the Jest example to close the minor actionability gaps.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly lean and efficient with no padding about what snapshots are; minor instances that could be trimmed (terminology-note block, a few explanatory asides like 'anti-aliasing and font metrics differ'). | 4 / 5 |
Actionability | Concrete, executable guidance throughout — file-layout examples, `.snap` keying, a sanitization table, real Jest matcher code, and a literal decision tree; minor gaps where framework-specific CLIs beyond `--update-snapshots` are not enumerated. | 4 / 5 |
Workflow Clarity | The update-vs-fix decision tree and the 5-step review workflow are clearly sequenced with explicit validation gates ('do not approve', REGRESSION vs UPDATE); not capped at 3 because validation/checkpoints are present, though a couple of edge branches could be sharper. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly headed sections with no nested references; as no bundle files exist the body is appropriately self-contained, though some content (anti-patterns table, severity tiering) is dense inline rather than split out. | 4 / 5 |
Total | 16 / 20 Passed |