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Get Started Free →Guide for creating templates for the Obsidian Web Clipper. Use when you want to create a new clipping template, understand available variables, or format clipped content.
.claude/skills/dokhacgiakhoa-obsidian-clipper-template-creator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 80% | 0% |
| case-12 | ✗→✓ | ▲ Improved | -30% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -45% | 0% |
This skill helps you create importable JSON templates for the Obsidian Web Clipper.
Templates/Bases/.Templates/Bases/*.base to find a matching category (e.g., Recipes.base).WebFetch or a browser DOM snapshot to retrieve page content before choosing any selector.ALWAYS output the final result as a JSON code block that the user can copy and import.
json{ "schemaVersion": "0.1.0", "name": "My Template", ... }
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 11,322 | 17,925 | +58% | 1 | 1 | 0% | 2,339 | 4,050 | +73% | 0 | 0 | — |
case-02 | fail→fail | 19,173 | 18,381 | -4% | 1 | 1 | 0% | 3,916 | 4,482 | +14% | 0 | 0 | — |
case-03 | fail→fail | 17,072 | 19,083 | +12% | 1 | 1 | 0% | 3,343 | 4,600 | +38% | 0 | 0 | — |
case-04 | fail→pass | 10,461 | 11,289 | +8% | 1 | 1 | 0% | 2,274 | 2,977 | +31% | 0 | 0 | — |
case-05 | fail→pass | 42,841 | 6,760 | -84% | 1 | 1 | 0% | 2,595 | 1,948 | -25% | 0 | 0 | — |
case-06 | pass→pass | 14,385 | 11,981 | -17% | 1 | 1 | 0% | 2,708 | 2,956 | +9% | 0 | 0 | — |
case-07 | pass→fail | 12,913 | 7,035 | -46% | 1 | 1 | 0% | 2,648 | 1,317 | -50% | 0 | 0 | — |
case-08 | pass→pass | 8,384 | 2,251 | -73% | 1 | 1 | 0% | 1,598 | 1,061 | -34% | 0 | 0 | — |
case-09 | pass→pass | 12,661 | 7,699 | -39% | 1 | 1 | 0% | 2,057 | 1,908 | -7% | 0 | 0 | — |
case-10 | fail→pass | 10,243 | 16,965 | +66% | 1 | 1 | 0% | 1,694 | 3,048 | +80% | 0 | 0 | — |
case-11 | pass→pass | 15,594 | 10,202 | -35% | 1 | 1 | 0% | 2,857 | 2,539 | -11% | 0 | 0 | — |
case-12 | fail→pass | 17,670 | 7,914 | -55% | 1 | 1 | 0% | 2,711 | 1,905 | -30% | 0 | 0 | — |
case-13 | pass→pass | 9,025 | 7,466 | -17% | 1 | 1 | 0% | 1,693 | 1,995 | +18% | 0 | 0 | — |
case-14 | pass→pass | 20,301 | 13,971 | -31% | 1 | 1 | 0% | 3,760 | 3,477 | -8% | 0 | 0 | — |
case-15 | pass→pass | 5,671 | 3,390 | -40% | 1 | 1 | 0% | 999 | 1,256 | +26% | 0 | 0 | — |
case-16 | fail→fail | 15,530 | 7,025 | -55% | 1 | 1 | 0% | 3,286 | 1,218 | -63% | 0 | 0 | — |
case-17 | fail→fail | 15,457 | 6,828 | -56% | 1 | 1 | 0% | 2,974 | 1,214 | -59% | 0 | 0 | — |
case-18 | fail→pass | 9,344 | 1,667 | -82% | 1 | 1 | 0% | 1,766 | 977 | -45% | 0 | 0 | — |
case-19 | fail→fail | 18,544 | 5,834 | -69% | 1 | 1 | 0% | 3,654 | 1,047 | -71% | 0 | 0 | — |
case-20 | fail→fail | 14,083 | 8,124 | -42% | 1 | 1 | 0% | 2,721 | 1,198 | -56% | 0 | 0 | — |
case-21 | fail→fail | 11,982 | 20,560 | +72% | 1 | 1 | 0% | 2,329 | 3,325 | +43% | 0 | 0 | — |
case-22 | fail→fail | 21,675 | 19,425 | -10% | 1 | 1 | 0% | 3,246 | 3,841 | +18% | 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, and 17 counted toward the lift figure. The other 5 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +18 percentage points is the difference between those two pass rates over the 17 comparable cases. 5 cases got worse with the skill loaded, and they are included in that figure.
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.