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Get Started Free →Use when the user asks to cut a release, tag a version, publish a release, or roll up the changelog. Not for routine merges; releases happen on request, not per feature.
.claude/skills/escoffier-labs-release-cut/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 100% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -32% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 104% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -3% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 64% | 0% |
Turn accumulated merged work into a clean tagged release: changelog roll-up, version bump, tag, GitHub release, and a drafted announcement. Drafts are drafts; nothing gets posted to social platforms by this skill.
Check before touching anything; stop and report if any fail:
git log <last-tag>..HEAD --oneline plus the CHANGELOG's Unreleased section. If the two disagree, reconcile first; the log is the truth, the changelog is the narrative.chore: release vX.Y.Z then an annotated tag: git tag -a vX.Y.Z -m "vX.Y.Z".gh release create vX.Y.Z --title "vX.Y.Z" --notes-file <(extracted changelog section).| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 9,410 | 2,544 | -73% | 1 | 1 | 0% | 1,679 | 853 | -49% | 0 | 0 | — |
case-02 | fail→fail | 13,176 | 3,484 | -74% | 1 | 1 | 0% | 2,458 | 1,054 | -57% | 0 | 0 | — |
case-03 | fail→fail | 11,305 | 2,603 | -77% | 1 | 1 | 0% | 2,070 | 891 | -57% | 0 | 0 | — |
case-04 | fail→pass | 6,540 | 8,271 | +26% | 1 | 1 | 0% | 995 | 1,990 | +100% | 0 | 0 | — |
case-05 | pass→pass | 6,855 | 5,445 | -21% | 1 | 1 | 0% | 1,391 | 1,565 | +13% | 0 | 0 | — |
case-06 | fail→pass | 8,380 | 3,002 | -64% | 1 | 1 | 0% | 1,479 | 1,002 | -32% | 0 | 0 | — |
case-07 | fail→pass | 2,494 | 2,432 | -2% | 1 | 1 | 0% | 453 | 922 | +104% | 0 | 0 | — |
case-08 | fail→pass | 6,262 | 2,697 | -57% | 1 | 1 | 0% | 1,105 | 1,070 | -3% | 0 | 0 | — |
case-09 | fail→pass | 4,087 | 3,070 | -25% | 1 | 1 | 0% | 701 | 1,149 | +64% | 0 | 0 | — |
case-10 | fail→pass | 7,766 | 3,344 | -57% | 1 | 1 | 0% | 1,407 | 1,169 | -17% | 0 | 0 | — |
case-11 | pass→pass | 2,929 | 2,076 | -29% | 1 | 1 | 0% | 539 | 929 | +72% | 0 | 0 | — |
case-12 | pass→fail | 9,120 | 6,954 | -24% | 1 | 1 | 0% | 1,731 | 884 | -49% | 0 | 0 | — |
case-13 | fail→pass | 5,057 | 5,786 | +14% | 1 | 1 | 0% | 942 | 1,502 | +59% | 0 | 0 | — |
case-14 | pass→pass | 9,384 | 4,473 | -52% | 1 | 1 | 0% | 1,761 | 1,324 | -25% | 0 | 0 | — |
case-15 | fail→pass | 7,101 | 2,210 | -69% | 1 | 1 | 0% | 1,274 | 966 | -24% | 0 | 0 | — |
case-16 | fail→pass | 14,260 | 5,670 | -60% | 1 | 1 | 0% | 2,688 | 1,626 | -40% | 0 | 0 | — |
case-17 | pass→pass | 7,995 | 4,609 | -42% | 1 | 1 | 0% | 1,584 | 1,425 | -10% | 0 | 0 | — |
case-18 | fail→fail | 8,013 | 2,871 | -64% | 1 | 1 | 0% | 1,339 | 1,006 | -25% | 0 | 0 | — |
case-19 | pass→pass | 9,974 | 3,079 | -69% | 1 | 1 | 0% | 1,853 | 1,106 | -40% | 0 | 0 | — |
case-20 | pass→pass | 6,278 | 5,601 | -11% | 1 | 1 | 0% | 1,399 | 1,849 | +32% | 0 | 0 | — |
case-21 | pass→pass | 11,325 | 6,885 | -39% | 1 | 1 | 0% | 2,216 | 1,894 | -15% | 0 | 0 | — |
case-22 | pass→pass | 9,584 | 5,858 | -39% | 1 | 1 | 0% | 2,155 | 1,826 | -15% | 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 +36 percentage points is the difference between those two pass rates over the 21 comparable cases. 1 case got worse with the skill loaded, and it is 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.