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Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies.
Passed 9 of 22 test cases with the skill, and 5 of 22 without it.
and 1 more in the full report
4 fixed5 passed either way13 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
When introducing a video stream player feature across web, iOS, Android, and macOS desktop apps, at what phase in the development lifecycle should we apply platform-specific hardware acceleration optimizations like AVPlayer or MediaCodec bindings?
| Checked | Without skill | With skill |
|---|---|---|
| The response places platform-specific hardware acceleration optimizations after establishing shared API contracts and baseline playback logic. | Passed | Passed |
| The response requires verification of video playback parity across all target platforms. | Missed | Passed |
The instructions your model reads when the skill loads.
Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies.
[Extended thinking: This workflow orchestrates multiple specialized agents to ensure feature parity across platforms while maintaining platform-specific optimizations. The coordination strategy emphasizes shared contracts and parallel development with regular synchronization points. By establishing API contracts and data models upfront, teams can work independently while ensuring consistency. The workflow benefits include faster time-to-market, reduced integration issues, and maintainable cross-platform codebases.]
resources/implementation-playbook.md.test cases passed, vs 5 / 22 without
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