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Backend development specialist covering API design, database integration, microservices architecture, and modern backend patterns.
Passed 18 of 22 test cases with the skill, and 12 of 22 without it.
and 12 more in the full report
8 fixed10 passed either way2 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 8 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which specific versions of PostgreSQL, MongoDB, and Redis are specified for primary database deployments in our backend stack?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies PostgreSQL 16+ | Missed | Passed |
| Specifies MongoDB 7+ | Missed | Passed |
| Specifies Redis 7+ | Missed | Passed |
The instructions your model reads when the skill loads.
Backend Development Mastery - Comprehensive backend development patterns covering API design, database integration, microservices, and modern architecture patterns.
Core Capabilities:
When to Use:
RESTful API Architecture:
Create a FastAPI application with authentication and response models. Define a Pydantic UserResponse model with id, email, and name fields. Implement list_users and create_user endpoints with HTTPBearer security dependency. The list endpoint returns a list of UserResponse objects, while the create endpoint accepts a UserCreate model and returns a single UserResponse.
GraphQL Implementation:
Use Strawberry to define GraphQL types. Create a User type with id, email, and name fields. Define a Query type with a users resolver that returns a list of User objects asynchronously. Generate the schema by passing the Query type to strawberry.Schema.
PostgreSQL with SQLAlchemy:
test cases passed, vs 12 / 22 without
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