Lean, directive prose with complete code blocks and no padding explaining what FastAPI/Pydantic/SQLAlchemy are; every section assumes Claude's competence.

Multiple complete, copy-paste-ready Python examples with imports (application factory, schemas, dependencies, endpoints, tests, OpenAPI) — fully executable rather than pseudocode.

Clear structural model in 'How It Works', explicit 'When to Use', and Security/Performance checklists that serve as validation checkpoints for complex production work.

Well-organized into labeled sections, but all ~320 lines of code live inline in SKILL.md with no bundle files splitting detailed patterns into one-level-deep references; the simple-skill exception (under 50 lines) does not apply.

Lists multiple concrete capabilities — 'async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness' — rather than vague language.

It clearly answers 'what' but lacks an explicit 'when/Use when' trigger clause; per the guidelines, a missing explicit trigger clause caps completeness at 2.

Natural framework terms a user would say (FastAPI, async APIs, Pydantic, dependency injection, OpenAPI docs) are well covered, matching the 'good coverage of natural terms' anchor.

FastAPI-specific niche with distinct framework triggers, unlikely to conflict with general Python or web skills.