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.claude/skills/sickn33-api-documentation/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 33% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 6% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -34% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -37% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -32% | 0% |
Specialized workflow for creating comprehensive API documentation including OpenAPI/Swagger specs, developer guides, code examples, and interactive documentation.
Use this workflow when:
api-documenter - API documentationapi-design-principles - API designUse @api-documenter to discover and document API endpointsopenapi-spec-generation - OpenAPIapi-documenter - API specsUse @openapi-spec-generation to create OpenAPI specificationapi-documentation-generator - Documentationdocumentation-templates - TemplatesUse @api-documentation-generator to create developer guideapi-documenter - Code examplestutorial-engineer - TutorialsUse @api-documenter to generate code examplesapi-documenter - Interactive docsUse @api-documenter to set up interactive documentationdocs-architect - Documentation architecturewiki-page-writer - DocumentationUse @docs-architect to design API documentation siteapi-documenter - Doc maintenanceUse @api-documenter to set up automated doc generationdocumentation - Documentationapi-development - API developmentdevelopment - Development| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-06 | fail→fail | 17,879 | 10,489 | -41% | 1 | 1 | 0% | 3,078 | 2,672 | -13% | 0 | 0 | — |
case-01 | fail→pass | 29,996 | 38,522 | +28% | 1 | 1 | 0% | 6,638 | 8,812 | +33% | 0 | 0 | — |
case-02 | fail→fail | 37,842 | 27,334 | -28% | 1 | 1 | 0% | 8,236 | 6,384 | -22% | 0 | 0 | — |
case-03 | fail→fail | 44,486 | 23,737 | -47% | 1 | 1 | 0% | 6,342 | 5,659 | -11% | 0 | 0 | — |
case-04 | fail→pass | 14,489 | 10,939 | -25% | 1 | 1 | 0% | 2,576 | 2,732 | +6% | 0 | 0 | — |
case-05 | fail→pass | 16,370 | 5,757 | -65% | 1 | 1 | 0% | 2,894 | 1,906 | -34% | 0 | 0 | — |
case-07 | fail→pass | 15,431 | 5,181 | -66% | 1 | 1 | 0% | 2,641 | 1,677 | -37% | 0 | 0 | — |
case-08 | fail→pass | 15,675 | 5,255 | -66% | 1 | 1 | 0% | 2,576 | 1,759 | -32% | 0 | 0 | — |
case-09 | fail→pass | 13,497 | 3,420 | -75% | 1 | 1 | 0% | 2,212 | 1,514 | -32% | 0 | 0 | — |
case-10 | fail→pass | 13,928 | 8,291 | -40% | 1 | 1 | 0% | 2,193 | 2,167 | -1% | 0 | 0 | — |
case-11 | pass→pass | 17,888 | 10,437 | -42% | 1 | 1 | 0% | 2,853 | 2,487 | -13% | 0 | 0 | — |
case-12 | fail→pass | 10,918 | 12,525 | +15% | 1 | 1 | 0% | 1,090 | 2,483 | +128% | 0 | 0 | — |
case-13 | fail→pass | 19,990 | 9,839 | -51% | 1 | 1 | 0% | 2,999 | 2,569 | -14% | 0 | 0 | — |
case-14 | fail→pass | 9,107 | 2,679 | -71% | 1 | 1 | 0% | 1,423 | 1,229 | -14% | 0 | 0 | — |
case-15 | fail→pass | 12,609 | 2,459 | -80% | 1 | 1 | 0% | 1,858 | 1,194 | -36% | 0 | 0 | — |
case-16 | fail→pass | 8,492 | 2,750 | -68% | 1 | 1 | 0% | 1,346 | 1,267 | -6% | 0 | 0 | — |
case-17 | fail→pass | 8,339 | 2,227 | -73% | 1 | 1 | 0% | 1,325 | 1,209 | -9% | 0 | 0 | — |
case-18 | fail→pass | 10,940 | 4,320 | -61% | 1 | 1 | 0% | 1,823 | 1,596 | -12% | 0 | 0 | — |
case-19 | pass→pass | 12,861 | 2,544 | -80% | 1 | 1 | 0% | 2,011 | 1,241 | -38% | 0 | 0 | — |
case-20 | pass→pass | 14,219 | 17,980 | +26% | 1 | 1 | 0% | 2,900 | 4,636 | +60% | 0 | 0 | — |
case-21 | pass→pass | 15,974 | 15,290 | -4% | 1 | 1 | 0% | 2,984 | 3,620 | +21% | 0 | 0 | — |
case-22 | pass→pass | 16,571 | 21,126 | +27% | 1 | 1 | 0% | 3,611 | 5,479 | +52% | 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 +64 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.