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Get Started Free →cmux release workflow, version bumping, changelog updates, pretag guard, release tags, and release asset expectations. Use when preparing or troubleshooting a cmux release.
.claude/skills/manaflow-ai-cmux-release/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | -2% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -52% | 0% |
| case-07 | ✗→✓ | ▲ Improved | -34% | 0% |
| case-08 | ✗→✓ | ▲ Improved | -38% | 0% |
| case-17 | ✗→✓ | ▲ Improved | 42% | 0% |
Prefer the /release command. It determines the new version (minor by default), gathers commits since the last tag, updates CHANGELOG.md, runs ./scripts/bump-version.sh, commits, runs ./scripts/release-pretag-guard.sh, then tags and pushes.
The docs changelog page at web/app/[locale]/(landing)/docs/changelog/page.tsx renders from CHANGELOG.md, so there is no separate docs changelog source to update.
bash./scripts/bump-version.sh # minor (0.15.0 -> 0.16.0) ./scripts/bump-version.sh patch # 0.15.0 -> 0.15.1 ./scripts/bump-version.sh major # 0.15.0 -> 1.0.0 ./scripts/bump-version.sh 1.0.0 # explicit version
This updates MARKETING_VERSION and CURRENT_PROJECT_VERSION. The build number auto-increments and must increase for Sparkle auto-update to work. Bump the minor version unless explicitly asked otherwise.
bash./scripts/release-pretag-guard.sh git tag vX.Y.Z git push origin vX.Y.Z gh run watch --repo manaflow-ai/cmux
If the pretag guard fails, run ./scripts/bump-version.sh, commit the build-number bump, then retry.
cmux-macos.dmg, attached to the tag. The README download button points to releases/latest/download/cmux-macos.dmg.APPLE_CERTIFICATE_BASE64, APPLE_CERTIFICATE_PASSWORD, APPLE_SIGNING_IDENTITY, APPLE_ID, APPLE_APP_SPECIFIC_PASSWORD, APPLE_TEAM_ID.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-02 | fail→pass | 11,170 | 7,201 | -36% | 1 | 1 | 0% | 1,869 | 1,837 | -2% | 0 | 0 | — |
case-01 | fail→fail | 3,997 | 5,310 | +33% | 1 | 1 | 0% | 177 | 758 | +328% | 0 | 0 | — |
case-03 | fail→fail | 4,357 | 4,397 | +1% | 1 | 1 | 0% | 120 | 691 | +476% | 0 | 0 | — |
case-04 | fail→pass | 11,202 | 63,884 | +470% | 1 | 1 | 0% | 2,074 | 1,001 | -52% | 0 | 0 | — |
case-05 | pass→pass | 10,899 | 3,703 | -66% | 1 | 1 | 0% | 1,803 | 1,113 | -38% | 0 | 0 | — |
case-06 | pass→pass | 10,282 | 3,078 | -70% | 1 | 1 | 0% | 1,642 | 996 | -39% | 0 | 0 | — |
case-11 | pass→pass | 11,815 | 3,154 | -73% | 1 | 1 | 0% | 2,196 | 998 | -55% | 0 | 0 | — |
case-07 | fail→pass | 9,951 | 2,741 | -72% | 1 | 1 | 0% | 1,479 | 974 | -34% | 0 | 0 | — |
case-08 | fail→pass | 8,355 | 2,349 | -72% | 1 | 1 | 0% | 1,474 | 919 | -38% | 0 | 0 | — |
case-09 | pass→pass | 9,672 | 2,730 | -72% | 1 | 1 | 0% | 1,774 | 1,035 | -42% | 0 | 0 | — |
case-10 | pass→pass | 3,465 | 2,444 | -29% | 1 | 1 | 0% | 682 | 954 | +40% | 0 | 0 | — |
case-17 | fail→pass | 4,747 | 2,508 | -47% | 1 | 1 | 0% | 648 | 918 | +42% | 0 | 0 | — |
case-12 | fail→pass | 6,992 | 3,117 | -55% | 1 | 1 | 0% | 1,292 | 1,030 | -20% | 0 | 0 | — |
case-13 | pass→pass | 5,421 | 2,072 | -62% | 1 | 1 | 0% | 968 | 857 | -11% | 0 | 0 | — |
case-14 | fail→pass | 5,004 | 2,211 | -56% | 1 | 1 | 0% | 869 | 865 | -0% | 0 | 0 | — |
case-15 | fail→pass | 7,817 | 2,040 | -74% | 1 | 1 | 0% | 1,227 | 787 | -36% | 0 | 0 | — |
case-16 | fail→pass | 10,646 | 7,656 | -28% | 1 | 1 | 0% | 1,787 | 708 | -60% | 0 | 0 | — |
case-18 | fail→pass | 17,915 | 2,419 | -86% | 1 | 1 | 0% | 2,572 | 777 | -70% | 0 | 0 | — |
case-19 | fail→pass | 11,767 | 2,218 | -81% | 1 | 1 | 0% | 2,123 | 842 | -60% | 0 | 0 | — |
case-20 | fail→pass | 7,028 | 4,042 | -42% | 1 | 1 | 0% | 1,210 | 1,041 | -14% | 0 | 0 | — |
case-21 | fail→pass | 8,642 | 4,026 | -53% | 1 | 1 | 0% | 1,494 | 1,236 | -17% | 0 | 0 | — |
case-22 | fail→pass | 7,199 | 3,264 | -55% | 1 | 1 | 0% | 1,282 | 1,096 | -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 20 counted toward the lift figure. The other 2 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 +64 percentage points is the difference between those two pass rates over the 20 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.