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, action-oriented skill body: a sequenced workflow with validation checkpoints, a concrete scoring rubric with an evidence-format example, and an executable API sample. Main gaps: both referenced bundle files (data-collection-guide.md, analysis-templates.md) are missing from the bundle, and the workflow lacks failure-path guidance for its checkpoints.
Suggestions
Add the missing references/data-collection-guide.md and references/analysis-templates.md files (or remove the pointers) — both are referenced as holding 'full executable scripts' and 'full template markdown' but do not exist in the bundle.
Add failure-path guidance to the validation checkpoints, e.g., what to do when fewer than 20 reviews or no public pricing page is available for a competitor (fall back to alternate sources, or mark the dimension 'insufficient data').
Delete or compress the 'When to Use' section, which duplicates the frontmatter description's trigger list nearly verbatim, to save tokens.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense with domain-specific content Claude would not already know (signal checklists, the 12-dimension rubric anchors, template formats) and uses tables rather than padded prose. The one clear redundancy is the 'When to Use' section, which restates the frontmatter description's triggers almost verbatim (five bullets repeating 'quarterly competitive review', 'competitor launches a major feature', etc.), fitting score 4's 'minor instances... that could be trimmed' rather than score 5's 'every token earns its place'. | 4 / 5 |
Actionability | Concrete guidance dominates: a copy-paste-ready iTunes Search API query with exact URLs and parse fields ('entry[].content.label', 'entry[].im:rating.label'), a fully specified 12-dimension scoring table with 1/3/5 anchors, and an example completed row showing the evidence format ('App Store reviews cite "confusing navigation" (38 mentions)...'). It falls short of score 5 because only one of five data sources has an executable query — website, job postings, SEO, and social capture are checklists of what to record, with the 'how' deferred to references/data-collection-guide.md. | 4 / 5 |
Workflow Clarity | The six-step Teardown Workflow is clearly sequenced with explicit italicized validation checkpoints after steps 2 and 3 ('confirm you have pricing data, at least 20 reviews, and job posting counts for each competitor'; 'Every dimension should have a score and at least one supporting evidence note'). Not score 5 because there are no failure-path feedback loops (what to do when a checkpoint fails, e.g., fewer than 20 reviews available) and steps 4–6 carry no checkpoints — matching score 4's 'clear sequence with most checkpoints present; minor validation gaps'. | 4 / 5 |
Progressive Disclosure | The structure follows the top-anchor pattern: inline abbreviated content plus clearly signaled one-level-deep pointers ('Full executable scripts for each source are in references/data-collection-guide.md', 'Full template markdown is in references/analysis-templates.md'). However, verified against the actual bundle, neither referenced file exists — there is no references/ directory — so both pointers dangle, a real navigation gap beyond score 5's 'easy navigation' but not the disorganized or buried-reference pattern of score 3, since the inline summaries keep the skill functional. | 4 / 5 |
Total | 16 / 20 Passed |