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SEO keyword research workflow for blog generation using Google Trends data.
Passed 20 of 23 test cases with the skill, and 10 of 23 without it.
and 15 more in the full report
10 fixed10 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are writing curl requests to fetch Google Trends data via SerpAPI for initial keyword discovery. An engineer suggested using `date=today+12-m` for the initial RELATED_QUERIES check. What exact date parameter string should be passed for Step 1 keyword discovery?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies date=today+3-m as the date parameter for initial keyword discovery. | Missed | Passed |
The instructions your model reads when the skill loads.
Find trending, high-opportunity keywords BEFORE writing blog content. This skill turns generic blog topics into SEO-optimized content that ranks.
Always research keywords BEFORE generating blog content.
BAD: Write blog -> Hope it ranks -> Usually doesn't
GOOD: Research keywords -> Find breakout opportunity -> Write optimized blog -> Ranks well
When analyzing Google Trends RELATED_QUERIES results, prioritize keywords in this order:
formatted_value: "Breakout" = 5000%+ growthformatted_value: "+100%" or higherformatted_value: "+50%" to "+99%"test cases passed, vs 10 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.