Content
72%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is concise and well-organized with named tools and useful table templates, but it stops short of fully actionable guidance and lacks validation checkpoints for a multi-step data-analysis workflow.
Suggestions
Add a concrete example invocation of the MCP tools (e.g., a sample get_market_movers call with expected arguments and a snippet of returned fields) so the guidance is copy-paste ready.
Insert an explicit validation step in the Analysis Framework — e.g., confirm the two chart snapshots are the same chart type/country and reconcile apps missing from one snapshot before computing rank changes.
Provide a worked example (or example values) in at least one analysis table so Claude has a concrete pattern to follow rather than empty placeholder rows.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — it avoids explaining what App Store charts are or how MCP tools work, and every section earns its place with concrete tables and tool names rather than padding. | 3 / 3 |
Actionability | Guidance names specific MCP tools (get_market_movers, get_market_activity, etc.) and gives structured table templates, but the tables are empty placeholders and there is no executable example of how to call the tools or interpret their output. | 2 / 3 |
Workflow Clarity | A clear sequenced assessment and data-collection flow exists, but there are no validation checkpoints: it never specifies how to confirm the snapshots were comparable, handle missing data, or verify movement calculations before reporting. | 2 / 3 |
Progressive Disclosure | The skill is a single well-organized SKILL.md with no bundle files and clear sections, and it signals related skills at the end — appropriate for a self-contained analysis skill where content correctly stays inline. | 3 / 3 |
Total | 10 / 12 Passed |