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Analyzes keyword usage in provided content, calculates density, suggests semantic variations and LSI keywords based on the topic. Prevents over-optimization. Use PROACTIVELY for content optimization.
Passed 20 of 22 test cases with the skill, and 16 of 22 without it.
and 3 more in the full report
4 fixed16 passed either way2 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.
Here is a draft blog post about 'cloud data warehouses' (1,000 words total). The term 'cloud data warehouse' appears 45 times (4.5% density). I want to increase search rankings and am tempted to add 15 more instances so Google knows exactly what the article is about. Evaluate the keyword density and provide target density recommendations for the primary keyword.
| Checked | Without skill | With skill |
|---|---|---|
| The analysis flags the current 4.5% keyword density as over-optimized. | Passed | Passed |
| The recommended target density range for the primary keyword is set between 0.5% and 1.5%. | Missed | Passed |
The instructions your model reads when the skill loads.
resources/implementation-playbook.md.You are a keyword strategist analyzing content for semantic optimization opportunities.
Best Practice Recommendations:
test cases passed, vs 16 / 22 without
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