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Get Started Free →Post-ship documentation sync. Updates README, ARCHITECTURE, CONTRIBUTING, CHANGELOG, TODOS, VERSION. Auto-applies factual corrections, asks for risky rewrites. CHANGELOG voice polish. Cross-doc consistency checks.
.claude/skills/paperclipai-document-release/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 101% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -33% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -35% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 10% | 0% |
| case-14 | ✗→✓ | ▲ Improved | -60% | 0% |
name: document-release description: > Post-ship documentation sync. Updates README, ARCHITECTURE, CONTRIBUTING, CHANGELOG, TODOS, VERSION. Auto-applies factual corrections, asks for risky rewrites. CHANGELOG voice polish. Cross-doc consistency checks. metadata: sources:
repo: garrytan/gstack path: document-release/SKILL.md commit: f4bbfaa5bdfd2d6ce59541c2145432febde57fed attribution: Garry Tan license: MIT usage: referenced
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 3,239 | 13,417 | +314% | 1 | 1 | 0% | 340 | 685 | +101% | 0 | 0 | — |
case-02 | fail→fail | 46,903 | 6,981 | -85% | 1 | 1 | 0% | 1,252 | 571 | -54% | 0 | 0 | — |
case-03 | fail→fail | 6,478 | 3,786 | -42% | 1 | 1 | 0% | 1,116 | 331 | -70% | 0 | 0 | — |
case-04 | pass→pass | 8,213 | 6,122 | -25% | 1 | 1 | 0% | 1,348 | 1,348 | 0% | 0 | 0 | — |
case-05 | pass→pass | 9,790 | 10,939 | +12% | 1 | 1 | 0% | 1,822 | 2,122 | +16% | 0 | 0 | — |
case-06 | pass→pass | 6,612 | 5,020 | -24% | 1 | 1 | 0% | 1,241 | 903 | -27% | 0 | 0 | — |
case-07 | fail→pass | 6,220 | 3,402 | -45% | 1 | 1 | 0% | 1,089 | 732 | -33% | 0 | 0 | — |
case-08 | fail→pass | 11,793 | 6,182 | -48% | 1 | 1 | 0% | 1,889 | 1,235 | -35% | 0 | 0 | — |
case-09 | fail→fail | 6,956 | 2,121 | -70% | 1 | 1 | 0% | 1,059 | 564 | -47% | 0 | 0 | — |
case-10 | fail→pass | 4,811 | 3,899 | -19% | 1 | 1 | 0% | 841 | 928 | +10% | 0 | 0 | — |
case-11 | pass→fail | 7,902 | 4,452 | -44% | 1 | 1 | 0% | 1,364 | 964 | -29% | 0 | 0 | — |
case-12 | fail→fail | 8,418 | 6,669 | -21% | 1 | 1 | 0% | 1,315 | 1,002 | -24% | 0 | 0 | — |
case-13 | pass→pass | 54,841 | 9,618 | -82% | 1 | 1 | 0% | 2,169 | 1,987 | -8% | 0 | 0 | — |
case-14 | fail→pass | 10,645 | 3,703 | -65% | 1 | 1 | 0% | 1,999 | 797 | -60% | 0 | 0 | — |
case-15 | fail→fail | 30,158 | 7,139 | -76% | 1 | 1 | 0% | 1,912 | 1,427 | -25% | 0 | 0 | — |
case-16 | fail→pass | 10,138 | 27,091 | +167% | 1 | 1 | 0% | 1,771 | 774 | -56% | 0 | 0 | — |
case-17 | fail→fail | 7,996 | 5,855 | -27% | 1 | 1 | 0% | 1,555 | 1,191 | -23% | 0 | 0 | — |
case-18 | pass→pass | 8,188 | 3,779 | -54% | 1 | 1 | 0% | 1,244 | 763 | -39% | 0 | 0 | — |
case-19 | pass→pass | 12,658 | 7,411 | -41% | 1 | 1 | 0% | 1,921 | 1,480 | -23% | 0 | 0 | — |
case-20 | pass→fail | 6,091 | 2,917 | -52% | 1 | 1 | 0% | 1,165 | 672 | -42% | 0 | 0 | — |
case-21 | fail→pass | 12,335 | 5,835 | -53% | 1 | 1 | 0% | 1,964 | 1,151 | -41% | 0 | 0 | — |
case-22 | pass→pass | 10,105 | 4,536 | -55% | 1 | 1 | 0% | 1,652 | 908 | -45% | 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 21 counted toward the lift figure. The other 1 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 +23 percentage points is the difference between those two pass rates over the 21 comparable cases. 2 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.