Content
82%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 strong, dense API-authoring skill: fully executable Java examples for both the annotation and interface APIs, exact API tables, and clearly signaled navigation to sibling skills. The only weaknesses are minor — slight duplication between the Python recap, the XCom section, and the pitfalls checklist, no explicit setup-verification step, and everything inlined in one file with no reference bundle to offload detail.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and efficient — complete code examples, compact API tables, and terse prose with essentially no explanation of concepts Claude already knows. Minor trim opportunities exist: the "Recap: the Python side" section duplicates content it itself defers to authoring-language-sdk-tasks ("Full rules are in authoring-language-sdk-tasks; the minimal shape:"), and the XCom type-mismatch rule is stated both in the XCom section ("A mismatch (e.g. declaring int when the value is a String) fails the task") and again in pitfalls — fitting anchor 4 rather than the every-token-earns-its-place anchor 5. | 4 / 5 |
Actionability | Fully executable, copy-paste-ready guidance: complete Java classes for both APIs (SalesPipeline with annotations, ExtractTask/MyBundle via interfaces), the Main entry point with Server.create(args).serve(...), a Client call table with exact signatures and return types, the JSON-to-Java type mapping table, and named logging artifacts (airflow-sdk-jpl, airflow-sdk-slf4j, airflow-sdk-log4j2, airflow-sdk-jul). Specific examples cover the common cases; nothing is pseudocode. | 5 / 5 |
Workflow Clarity | Section order mirrors the authoring workflow (Python stub recap → Java task APIs → entry point → Client/Context → XCom types → logging → worked example → pitfalls) with repeated correctness checkpoints ("must match the Python dag_id", "must match the Python @task.stub name") and a pointer to a runnable example. Not anchor 5 because there is no explicit verification/feedback step for one's own setup (e.g., validating the bundle runs); the sequence is implied by section order rather than framed as steps. | 4 / 5 |
Progressive Disclosure | No bundle files exist, so all content lives in SKILL.md, but it is well organized with clear sections, compact inline reference tables (annotation reference, Client calls, type mapping) that reasonably belong in the main file, and clearly signaled one-level pointers to sibling skills (deploying-java-sdk-bundles, configuring-airflow-language-sdks, authoring-language-sdk-tasks) and a shipped runnable example. This fits anchor 4 — good structure with minor organization gaps (a ~220-line single file where some detail could be split out) rather than the ideal split of anchor 5. | 4 / 5 |
Total | 17 / 20 Passed |