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Design ad creative across Google, Meta, LinkedIn, Twitter/X, and TikTok with platform format specs, headline formulas, and A/B testing.
Passed 13 of 23 test cases with the skill, and 10 of 23 without it.
and 2 more in the full report
5 fixed9 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to run the performance diagnostic script to check whether our ad variations are suffering from fatigue using our data file `q1_ads.json`. What terminal command should we execute?
| Checked | Without skill | With skill |
|---|---|---|
| Outputs the command running python scripts/creative_fatigue_detector.py with the JSON file path. | Missed | Passed |
The instructions your model reads when the skill loads.
Production-grade ad creative design, iteration, and optimization across all major advertising platforms.
ad creative, ad copy, headline generation, RSA headlines, Meta ad copy, LinkedIn ads, Google Ads, Twitter/X ads, TikTok ads, creative testing, A/B testing, ad variations, bulk creative, performance creative, display ads, search ads, social ads, CTA optimization, ad compliance, character limits, creative matrix, ad iteration, conversion copy, platform-specific ads
Before generating the copy, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.
test cases passed, vs 10 / 23 without
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