Content
63%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 delivers strong, largely executable code with a clear step-by-step progression and useful pitfalls/best-practices sections. Its weaknesses are length (~340 lines inlined in one file with no external references) and a few placeholder dependencies in examples that break copy-paste readiness.
Suggestions
Split the Examples section and advanced steps (streaming, multi-turn, retry logic) into references/ files (e.g., references/examples.md) linked one level deep from a shorter overview.
Make Step 5 self-contained: import or stub 'Database'/'get_db()'/'FakeDb()' so the dependency-injection example is copy-paste runnable.
Add the missing imports in the FunctionModel example ('ModelResponse', 'TextPart' from pydantic_ai.messages).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Code blocks are lean with minimal comments, but the ~340-line body inlines an Overview paragraph, 8 steps, and a 3-example Examples section — content like streaming, multi-turn, and the examples could be trimmed or offloaded. Mostly efficient but could be significantly tightened; it does not pad with concepts Claude already knows, ruling out 2. | 3 / 5 |
Actionability | Nearly all code is copy-paste executable (install commands, minimal agent, structured output, a real HTTP tool call, TestModel testing). Minor gaps: Step 5 references undefined 'Database', 'get_db()', and 'FakeDb()', and the FunctionModel example uses 'ModelResponse'/'TextPart' without imports — mostly executable with minor gaps. | 4 / 5 |
Workflow Clarity | Steps 1-8 form a clear logical sequence (install → minimal agent → structured output → tools → dependency injection → testing → streaming → multi-turn), and the pitfalls/result_validator sections cover error recovery. No destructive or batch operations, so the cap of 3 does not apply; minor validation gaps keep it below 5. | 4 / 5 |
Progressive Disclosure | Headers organize the content well, but there are no bundle files at all — reference-shaped content (the Examples section, streaming/multi-turn details) is inlined in a single ~340-line SKILL.md rather than split into one-level-deep references. Between anchor 2 (content that belongs in separate files is inlined) and anchor 3 (structure present); solid section organization places it at 3. | 3 / 5 |
Total | 14 / 20 Passed |