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Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers.
Passed 17 of 22 test cases with the skill, and 14 of 22 without it.
and 1 more in the full report
3 fixed14 passed either way5 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 3 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our team needs a unified error handling pattern and versioning strategy for our REST service. Could you design a structured JSON error response schema along with reusable Python exception helper functions for input validation failures and missing resources, plus explain how to structure our endpoints to support future breaking changes gracefully?
| Checked | Without skill | With skill |
|---|---|---|
| The validation error helper function sets the HTTP status code to 422 | Missed | Passed |
| The error response schema includes top-level error, message, details, timestamp, and path fields | Missed | Passed |
The instructions your model reads when the skill loads.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.
Resource-Oriented Architecture
HTTP Methods Semantics:
GET: Retrieve resources (idempotent, safe)POST: Create new resourcesPUT: Replace entire resource (idempotent)PATCH: Partial resource updatesDELETE: Remove resources (idempotent)Schema-First Development
test cases passed, vs 14 / 22 without
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