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Get Started Free →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.
.claude/skills/dokhacgiakhoa-seo-keyword-strategist/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 54% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 84% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 78% | 0% |
| case-19 | ✗→✓ | ▲ Improved | -29% | 0% |
| case-20 | ✗→✓ | ▲ Improved | 9% | 0% |
resources/implementation-playbook.md.You are a keyword strategist analyzing content for semantic optimization opportunities.
Best Practice Recommendations:
Keyword Strategy Package:
Primary: [keyword] (0.8% density, 12 uses)
Secondary: [keywords] (3-5 targets)
LSI Keywords: [20-30 semantic variations]
Entities: [related concepts to include]Deliverables:
Advanced Recommendations:
Platform Integration:
Focus on natural keyword integration and semantic relevance. Build topical depth through related concepts.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 22,647 | 25,642 | +13% | 1 | 1 | 0% | 3,258 | 5,015 | +54% | 0 | 0 | — |
case-02 | fail→fail | 37,354 | 27,470 | -26% | 1 | 1 | 0% | 6,901 | 4,538 | -34% | 0 | 0 | — |
case-03 | fail→pass | 17,917 | 28,721 | +60% | 1 | 1 | 0% | 2,998 | 5,530 | +84% | 0 | 0 | — |
case-04 | pass→pass | 10,318 | 15,421 | +49% | 1 | 1 | 0% | 1,700 | 3,270 | +92% | 0 | 0 | — |
case-05 | pass→pass | 16,366 | 17,118 | +5% | 1 | 1 | 0% | 2,624 | 3,257 | +24% | 0 | 0 | — |
case-06 | pass→pass | 17,537 | 17,930 | +2% | 1 | 1 | 0% | 2,854 | 3,582 | +26% | 0 | 0 | — |
case-07 | fail→pass | 7,702 | 11,065 | +44% | 1 | 1 | 0% | 1,404 | 2,497 | +78% | 0 | 0 | — |
case-08 | pass→pass | 10,306 | 7,687 | -25% | 1 | 1 | 0% | 1,659 | 1,786 | +8% | 0 | 0 | — |
case-09 | pass→pass | 8,511 | 4,463 | -48% | 1 | 1 | 0% | 1,417 | 1,276 | -10% | 0 | 0 | — |
case-10 | pass→pass | 17,033 | 19,757 | +16% | 1 | 1 | 0% | 2,880 | 4,010 | +39% | 0 | 0 | — |
case-11 | pass→pass | 15,111 | 14,630 | -3% | 1 | 1 | 0% | 2,556 | 2,846 | +11% | 0 | 0 | — |
case-12 | pass→pass | 13,692 | 12,102 | -12% | 1 | 1 | 0% | 2,268 | 2,656 | +17% | 0 | 0 | — |
case-13 | pass→pass | 13,705 | 10,602 | -23% | 1 | 1 | 0% | 2,000 | 1,955 | -2% | 0 | 0 | — |
case-14 | pass→pass | 13,645 | 12,083 | -11% | 1 | 1 | 0% | 2,109 | 2,550 | +21% | 0 | 0 | — |
case-15 | pass→pass | 13,910 | 18,479 | +33% | 1 | 1 | 0% | 2,151 | 3,228 | +50% | 0 | 0 | — |
case-16 | pass→pass | 12,499 | 15,203 | +22% | 1 | 1 | 0% | 2,122 | 2,919 | +38% | 0 | 0 | — |
case-17 | pass→pass | 10,196 | 6,309 | -38% | 1 | 1 | 0% | 1,536 | 1,532 | -0% | 0 | 0 | — |
case-18 | pass→pass | 16,395 | 15,505 | -5% | 1 | 1 | 0% | 2,683 | 3,165 | +18% | 0 | 0 | — |
case-19 | fail→pass | 7,209 | 2,655 | -63% | 1 | 1 | 0% | 1,246 | 882 | -29% | 0 | 0 | — |
case-20 | fail→pass | 11,588 | 7,169 | -38% | 1 | 1 | 0% | 1,508 | 1,648 | +9% | 0 | 0 | — |
case-21 | pass→pass | 13,449 | 7,783 | -42% | 1 | 1 | 0% | 2,038 | 1,800 | -12% | 0 | 0 | — |
case-22 | pass→pass | 15,564 | 17,337 | +11% | 1 | 1 | 0% | 2,201 | 3,421 | +55% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +23 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.