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Get Started Free →Generate user persona documents and empathy maps from templates
.claude/skills/a5c-ai-persona-template/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-07 | ✗→✓ | ▲ Improved | 6% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -26% | 0% |
| case-11 | ✗→✓ | ▲ Improved | -61% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 49% | 0% |
| case-15 | ✗→✓ | ▲ Improved | -29% | 0% |
Generate professional user persona documents and empathy map visualizations from structured data and templates.
json{ "type": "object", "properties": { "personaData": { "type": "object", "properties": { "name": { "type": "string" }, "photo": { "type": "string" }, "demographics": { "type": "object", "properties": { "age": { "type": "number" }, "occupation": { "type": "string" }, "location": { "type": "string" }, "education": { "type": "string" } } }, "goals": { "type": "array", "items": { "type": "string" } }, "frustrations": { "type": "array", "items": { "type": "string" } }, "behaviors": { "type": "array", "items": { "type": "string" } }, "quote": { "type": "string" }, "bio": { "type": "string" } } }, "empathyMap": { "type": "object", "properties": { "says": { "type": "array" }, "thinks": { "type": "array" }, "does": { "type": "array" }, "feels": { "type": "array" } } }, "templateStyle": { "type": "string", "enum": ["minimal", "detailed", "visual", "ux-agency"], "default": "detailed" }, "outputFormat": { "type": "string", "enum": ["pdf", "png", "markdown", "html"], "default": "markdown" } }, "required": ["personaData"] }
json{ "type": "object", "properties": { "personaDocument": { "type": "string", "description": "Path to generated persona document" }, "empathyMapDocument": { "type": "string", "description": "Path to generated empathy map" }, "cardImage": { "type": "string", "description": "Path to persona card image" }, "markdownContent": { "type": "string", "description": "Markdown content if applicable" } } }
javascriptconst result = await skill.execute({ personaData: { name: 'Sarah Chen', demographics: { age: 34, occupation: 'Product Manager', location: 'San Francisco, CA' }, goals: ['Streamline team workflows', 'Reduce meeting overhead'], frustrations: ['Too many tools', 'Information silos'], quote: 'I need to see the big picture while managing details' }, empathyMap: { says: ['We need better collaboration'], thinks: ['Is there an easier way?'], does: ['Checks multiple apps daily'], feels: ['Overwhelmed by notifications'] }, templateStyle: 'detailed', outputFormat: 'pdf' });
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-23 | pass→pass | 9,378 | 7,193 | -23% | 1 | 1 | 0% | 1,041 | 2,068 | +99% | 0 | 0 | — |
case-01 | fail→fail | 13,022 | 18,035 | +38% | 1 | 1 | 0% | 1,532 | 3,359 | +119% | 0 | 0 | — |
case-02 | fail→fail | 19,838 | 23,056 | +16% | 1 | 1 | 0% | 2,658 | 4,026 | +51% | 0 | 0 | — |
case-03 | fail→fail | 16,104 | 23,328 | +45% | 1 | 1 | 0% | 2,071 | 3,844 | +86% | 0 | 0 | — |
case-04 | fail→fail | 8,501 | 24,854 | +192% | 1 | 1 | 0% | 547 | 4,384 | +701% | 0 | 0 | — |
case-05 | fail→fail | 27,207 | 33,453 | +23% | 1 | 1 | 0% | 4,501 | 6,266 | +39% | 0 | 0 | — |
case-06 | fail→fail | 66,341 | 27,836 | -58% | 1 | 1 | 0% | 4,118 | 5,848 | +42% | 0 | 0 | — |
case-07 | fail→pass | 12,303 | 7,268 | -41% | 1 | 1 | 0% | 1,144 | 1,209 | +6% | 0 | 0 | — |
case-08 | fail→pass | 27,605 | 7,003 | -75% | 1 | 1 | 0% | 1,599 | 1,186 | -26% | 0 | 0 | — |
case-09 | pass→pass | 6,753 | 7,423 | +10% | 1 | 1 | 0% | 217 | 1,279 | +489% | 0 | 0 | — |
case-10 | pass→pass | 8,525 | 7,905 | -7% | 1 | 1 | 0% | 618 | 1,367 | +121% | 0 | 0 | — |
case-11 | fail→pass | 22,713 | 7,908 | -65% | 1 | 1 | 0% | 3,112 | 1,202 | -61% | 0 | 0 | — |
case-12 | pass→pass | 5,696 | 1,879 | -67% | 1 | 1 | 0% | 808 | 1,207 | +49% | 0 | 0 | — |
case-13 | pass→pass | 12,685 | 7,741 | -39% | 1 | 1 | 0% | 1,286 | 1,413 | +10% | 0 | 0 | — |
case-14 | fail→pass | 8,071 | 9,233 | +14% | 1 | 1 | 0% | 1,032 | 1,535 | +49% | 0 | 0 | — |
case-15 | fail→pass | 10,930 | 6,939 | -37% | 1 | 1 | 0% | 1,624 | 1,152 | -29% | 0 | 0 | — |
case-16 | fail→pass | 9,553 | 1,732 | -82% | 1 | 1 | 0% | 718 | 1,166 | +62% | 0 | 0 | — |
case-17 | fail→pass | 16,500 | 1,905 | -88% | 1 | 1 | 0% | 1,899 | 1,238 | -35% | 0 | 0 | — |
case-18 | fail→pass | 9,677 | 7,414 | -23% | 1 | 1 | 0% | 1,597 | 1,285 | -20% | 0 | 0 | — |
case-19 | fail→pass | 14,052 | 3,532 | -75% | 1 | 1 | 0% | 1,393 | 1,257 | -10% | 0 | 0 | — |
case-20 | pass→pass | 11,204 | 9,007 | -20% | 1 | 1 | 0% | 1,141 | 1,557 | +36% | 0 | 0 | — |
case-21 | fail→pass | 7,653 | 9,537 | +25% | 1 | 1 | 0% | 511 | 1,701 | +233% | 0 | 0 | — |
case-22 | pass→pass | 16,633 | 10,541 | -37% | 1 | 1 | 0% | 2,433 | 1,900 | -22% | 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. 23 cases were attempted. The headline lift of +43 percentage points is the difference between those two pass rates over the 23 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.