Every line serves a purpose - directory structure is shown compactly, code examples are minimal but complete, and no unnecessary explanations of FastAPI concepts Claude already knows.

Provides fully executable, copy-paste ready code for all generated files, specific directory structure, and concrete verification commands. No pseudocode or vague instructions.

Clear 7-step sequence with explicit verification at the end. The workflow includes a concrete validation step (running the server and testing the health endpoint) to confirm success.

For a focused scaffolding skill under 50 lines, the content is well-organized with clear sections (layout, steps, code blocks). No need for external references given the self-contained scope.

Lists multiple specific concrete actions: 'Scaffold a new FastAPI project', 'opinionated directory layout', 'pydantic-settings config', and 'starter files'. These are concrete, actionable capabilities.

Clearly answers both what ('Scaffold a new FastAPI project with an opinionated directory layout, pydantic-settings config, and starter files') and when ('Use when creating a new FastAPI application from scratch') with explicit trigger guidance.

Includes good terms like 'FastAPI', 'new', 'from scratch', and 'application', but misses common variations users might say like 'API project', 'backend', 'REST API', 'initialize', 'bootstrap', or 'setup'.

Very specific niche targeting FastAPI project scaffolding specifically. The combination of 'FastAPI', 'scaffold', 'new project', and 'from scratch' creates a distinct trigger profile unlikely to conflict with general Python or web development skills.

Every line serves a purpose with no unnecessary explanation of what FastAPI is or how curl works. The troubleshooting table is dense and informative without padding.

All commands are copy-paste ready with concrete examples including GET/POST requests, expected outputs (http_code 200), and specific flags. No pseudocode or vague instructions.

Clear numbered sequence from starting server through testing. Includes implicit validation checkpoints (verify docs load, check schema, test endpoints) and a comprehensive troubleshooting table for error recovery.

For a skill under 50 lines with a single focused task, the content is well-organized with clear sections (Steps, Troubleshooting). No external references needed for this scope.

Lists multiple specific concrete actions: 'Start a FastAPI dev server, verify docs and OpenAPI schema, test endpoints, and run pytest' - these are all distinct, actionable capabilities.

Clearly answers both what ('Start a FastAPI dev server, verify docs and OpenAPI schema, test endpoints, and run pytest') and when ('Use when running, checking, or debugging a FastAPI application') with explicit trigger guidance.

Includes good terms like 'FastAPI', 'dev server', 'pytest', 'endpoints', but missing common variations users might say like 'API server', 'uvicorn', 'swagger', 'REST API', or file extensions.

Clear niche focused specifically on FastAPI applications with distinct triggers; unlikely to conflict with general Python, Django, or Flask skills due to explicit FastAPI mentions throughout.