Content
78%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.
An efficient, well-structured overview that uses progressive disclosure effectively with verified reference files. Its main gap is the absence of any inline executable example, leaving the body purely navigational.
Suggestions
Add a minimal copy-paste quick-start snippet (e.g. `from google import genai; client = genai.Client(); client.models.generate_content(model='gemini-2.5-flash', contents='Hi')`) so the body is actionable without opening a reference.
Show the stateless-vs-stateful decision as a one-line code contrast (generate_content vs chats.create) rather than only prose.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean (~30 lines): a one-line intent, a terse reference directory, and four compact principles, with no padding or explanation of concepts Claude already knows. | 5 / 5 |
Actionability | Provides concrete API surface names ('client.models', 'client.chats', 'google.genai.types') and clear file pointers, but includes no executable code or commands in the body itself, delegating all examples to references. | 3 / 5 |
Workflow Clarity | A clear navigation workflow ('Identify the user's task and refer to the relevant file') plus decision rules for stateless vs stateful usage, though there are no explicit checkpoints because none are needed for this non-destructive skill. | 4 / 5 |
Progressive Disclosure | A concise overview pointing to ten real, one-level-deep reference files, each clearly signaled with a markdown link and one-line description, making navigation easy. | 5 / 5 |
Total | 17 / 20 Passed |