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Get Started Free →Generate Flatpak manifest with proper permissions and sandboxing
.claude/skills/a5c-ai-flatpak-manifest-generator/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-11 | ✗→✓ | ▲ Improved | 132% | 0% |
| case-01 | ✓→✓ | ＝ Same ✓ | 107% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 13% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 28% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 14% | 0% |
Generate Flatpak manifests with proper permissions, sandboxing, and Flathub compatibility.
json{ "type": "object", "properties": { "projectPath": { "type": "string" }, "appId": { "type": "string" }, "runtime": { "type": "string" }, "permissions": { "type": "array" } }, "required": ["projectPath", "appId"] }
yamlapp-id: com.example.MyApp runtime: org.freedesktop.Platform runtime-version: '23.08' sdk: org.freedesktop.Sdk command: myapp finish-args: - --share=ipc - --socket=x11 - --socket=wayland - --device=dri - --share=network - --filesystem=home modules: - name: myapp buildsystem: simple build-commands: - install -D myapp /app/bin/myapp sources: - type: archive url: https://example.com/myapp-1.0.0.tar.gz sha256: abc123...
bashflatpak-builder build-dir com.example.MyApp.yaml flatpak-builder --install --user build-dir com.example.MyApp.yaml
snap-yaml-generatorappimage-builder| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→pass | 2,903 | 2,904 | +0% | 1 | 1 | 0% | 448 | 928 | +107% | 0 | 0 | — |
case-02 | pass→pass | 3,472 | 1,718 | -51% | 1 | 1 | 0% | 638 | 721 | +13% | 0 | 0 | — |
case-03 | pass→pass | 3,722 | 2,417 | -35% | 1 | 1 | 0% | 683 | 872 | +28% | 0 | 0 | — |
case-04 | pass→pass | 4,679 | 3,055 | -35% | 1 | 1 | 0% | 820 | 932 | +14% | 0 | 0 | — |
case-05 | pass→pass | 2,464 | 1,270 | -48% | 1 | 1 | 0% | 327 | 581 | +78% | 0 | 0 | — |
case-06 | pass→pass | 5,503 | 3,665 | -33% | 1 | 1 | 0% | 1,102 | 1,103 | +0% | 0 | 0 | — |
case-07 | pass→pass | 4,574 | 2,363 | -48% | 1 | 1 | 0% | 638 | 777 | +22% | 0 | 0 | — |
case-08 | pass→pass | 4,143 | 2,409 | -42% | 1 | 1 | 0% | 707 | 843 | +19% | 0 | 0 | — |
case-09 | pass→pass | 3,072 | 2,118 | -31% | 1 | 1 | 0% | 546 | 767 | +40% | 0 | 0 | — |
case-10 | pass→pass | 4,128 | 2,699 | -35% | 1 | 1 | 0% | 618 | 837 | +35% | 0 | 0 | — |
case-11 | fail→pass | 2,130 | 2,094 | -2% | 1 | 1 | 0% | 333 | 771 | +132% | 0 | 0 | — |
case-12 | pass→pass | 4,694 | 2,966 | -37% | 1 | 1 | 0% | 814 | 883 | +8% | 0 | 0 | — |
case-13 | pass→pass | 3,647 | 2,409 | -34% | 1 | 1 | 0% | 657 | 819 | +25% | 0 | 0 | — |
case-14 | pass→pass | 2,781 | 2,248 | -19% | 1 | 1 | 0% | 412 | 740 | +80% | 0 | 0 | — |
case-15 | pass→pass | 4,879 | 2,800 | -43% | 1 | 1 | 0% | 867 | 961 | +11% | 0 | 0 | — |
case-16 | pass→pass | 4,460 | 3,710 | -17% | 1 | 1 | 0% | 921 | 1,041 | +13% | 0 | 0 | — |
case-17 | pass→pass | 3,957 | 2,470 | -38% | 1 | 1 | 0% | 691 | 829 | +20% | 0 | 0 | — |
case-18 | pass→pass | 3,349 | 2,753 | -18% | 1 | 1 | 0% | 542 | 866 | +60% | 0 | 0 | — |
case-19 | pass→pass | 9,525 | 2,265 | -76% | 1 | 1 | 0% | 1,559 | 771 | -51% | 0 | 0 | — |
case-20 | fail→fail | 7,760 | 6,844 | -12% | 1 | 1 | 0% | 1,551 | 1,787 | +15% | 0 | 0 | — |
case-21 | fail→fail | 14,550 | 9,935 | -32% | 1 | 1 | 0% | 3,098 | 2,514 | -19% | 0 | 0 | — |
case-22 | fail→fail | 8,628 | 8,542 | -1% | 1 | 1 | 0% | 1,779 | 2,083 | +17% | 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. The headline lift of +5 percentage points is the difference between those two pass rates over the 22 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.