Content
92%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 overview skill: lean body, clear multi-step workflow with validation and feedback loops, and exemplary one-level-deep progressive disclosure into substantive reference files. The only gap is that the most executable code lives in references rather than inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a lean overview of directives, routing tables, gotchas, and a troubleshooting matrix with no padding of concepts Claude already knows; every section earns its place, matching the 'lean and efficient' anchor over the 'minor over-explanation' anchor at 4. | 5 / 5 |
Actionability | Provides concrete executable commands (sts get-caller-identity, glue get-connection), a phrase-to-reference routing table, and a validation checklist, but the bulk of copy-paste PySpark templates and job config is delegated to references, so it sits at 'mostly executable with minor gaps' rather than fully copy-paste-ready in-body. | 4 / 5 |
Workflow Clarity | A clearly sequenced 7-step workflow includes an explicit validation checkpoint (Step 6: row count, null check, sample rows), a stop-and-delegate gate in Step 3, and error-recovery feedback loops via the troubleshooting table, satisfying the anchor for explicit validation with feedback loops; the batch-operation cap does not apply because validation is present. | 5 / 5 |
Progressive Disclosure | The overview points to 25 verified, substantive reference files all exactly one level deep, organized into categorized sections with descriptive link text and a routing table, matching the anchor for a clear overview with well-signaled one-level-deep references and easy navigation. | 5 / 5 |
Total | 19 / 20 Passed |