python-fastapi-patterns
FastAPI web framework patterns. Triggers on: fastapi, api endpoint, dependency injection, pydantic model, openapi, swagger, starlette, async api, rest api, uvicorn.
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Does it follow best practices?
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Discovery
72%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
The description excels at trigger term coverage with comprehensive FastAPI ecosystem keywords, making it highly discoverable and distinctive. However, it lacks specificity about what concrete actions or patterns the skill provides - 'patterns' is too vague to help Claude understand the skill's actual capabilities.
Suggestions
Replace 'patterns' with specific actions like 'Create API endpoints, define Pydantic models, configure dependency injection, set up authentication and middleware'
Add a 'Use when...' clause that complements the trigger terms, e.g., 'Use when building REST APIs with FastAPI or converting Flask/Django code to FastAPI'
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (FastAPI web framework) and mentions 'patterns' but doesn't list concrete actions like 'create endpoints', 'define routes', 'configure middleware', or 'set up authentication'. | 2 / 3 |
Completeness | Has trigger terms via 'Triggers on:' clause which addresses 'when', but the 'what' is weak - 'patterns' is vague and doesn't explain what specific capabilities or actions the skill provides. | 2 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'fastapi', 'api endpoint', 'rest api', 'pydantic model', 'swagger', 'uvicorn' - these are all terms developers naturally use when working with FastAPI. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive with FastAPI-specific terms like 'starlette', 'uvicorn', 'pydantic model' that clearly differentiate it from generic API or web framework skills. | 3 / 3 |
Total | 10 / 12 Passed |
Implementation
87%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a high-quality skill that efficiently presents FastAPI patterns with executable, production-ready code examples. The progressive disclosure is excellent with clear references to advanced topics. The main weakness is the lack of an explicit workflow showing how to build and validate an API incrementally, though for a reference-style skill this is a minor concern.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is lean and efficient, providing executable code examples without explaining basic concepts Claude already knows. Every section delivers actionable patterns without padding or unnecessary context. | 3 / 3 |
Actionability | All code examples are complete, executable, and copy-paste ready. The skill covers practical patterns from basic app setup through dependency injection, exception handling, and router organization with concrete implementations. | 3 / 3 |
Workflow Clarity | While individual patterns are clear, there's no explicit workflow for building an API from scratch or validation checkpoints. The content presents isolated patterns rather than a sequenced process with feedback loops. | 2 / 3 |
Progressive Disclosure | Excellent structure with a concise overview, quick reference table, and well-signaled one-level-deep references to additional resources (dependency-injection.md, middleware-patterns.md, etc.). Clear navigation to related skills and prerequisites. | 3 / 3 |
Total | 11 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Reviewed
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