Content
71%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 highly actionable, with complete copy-paste CSV/SQL/JSON Schema/Notion artifacts, a clear five-step interaction flow, and good safety/pitfall guidance. Its weaknesses are repetition of the same interaction rules across multiple sections and the absence of any progressive disclosure — a ~290-line monolith whose artifact templates would fit better in reference files.
Suggestions
Deduplicate the interaction rules: state 'one question per message' and the Step 4 recommendation once, and have Best Practices, Pitfalls, and Examples reference them instead of restating them verbatim.
Move the SQL DDL, JSON Schema, Notion property mapping, and Field Reference tables into reference files (e.g. references/artifacts.md) and keep SKILL.md as an overview with one-level-deep, clearly signaled links.
Add an explicit post-build validation step (e.g. verify emitted column names match the Field Reference across CSV/SQL/JSON before presenting artifacts) to close the feedback loop that is currently only implied by 'Report material validation failures or limitations separately'.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly procedural and free of concept explanations Claude already knows, but repeats the same guidance several times: 'ask one question at a time' appears in Step 2, Best Practices ('One question per message'), Common Pitfalls ('asked all six questions in one message'), and the Reusable Prompt; the Step 4 recommendation text is restated verbatim in the Examples section. This matches 'mostly efficient but includes some unnecessary explanation or could be tightened' rather than 4, whose trimming burden would be minor. | 3 / 5 |
Actionability | The skill provides fully copy-paste-ready artifacts: a concrete CSV header row, complete PostgreSQL CREATE TABLE DDL, a full JSON Schema object, a Notion property mapping table, and a worked example dialogue with the exact next-step offer. The intent-dispatch table in Step 1 and the internal YAML context shape give exact executable guidance, matching 'fully executable; copy-paste ready code or commands; specific examples cover the common cases'. | 5 / 5 |
Workflow Clarity | Steps 1-5 are clearly sequenced (identify intent, ask only what is missing, hold context, recommend, build only on request) with an explicit workflow chain 'Metric defined → Source data → Calculation → Refresh → Decision review' and some checkpoints ('build it after resolving essential missing facts', 'Report material validation failures or limitations separately'). It is not 5 because there is no explicit validate-and-fix feedback loop after artifact generation — verification detail is delegated to the unbundled shared contract and @notion-manual-import — matching 'clear sequence with most checkpoints present; minor validation gaps'. | 4 / 5 |
Progressive Disclosure | Sections are well organized (Overview, When to Use, Steps, Field Reference, Examples, Pitfalls), and external skill references (@notion-manual-import, Module Catalog) are clearly signaled. However the full SQL DDL, JSON Schema, Notion mapping, field reference and select-option tables — roughly half the file — are inlined rather than split into reference files, and the skill is ~290 lines, well past the under-50-line simple-skill exception. This matches 'some structure but could be better organized; content that should be separate is inline' rather than 4, where most content would be appropriately placed in separate files. | 3 / 5 |
Total | 15 / 20 Passed |