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Get Started Free →Meta Ads (Facebook + Instagram) account audit and business context setup. Run this first — it gathers business information, analyzes account health, and saves context that all other Meta ads skills reuse. Trigger on "audit my Meta ads", "audit my Facebook ads", "Meta ads audit", "set up my Meta ads", "onboard Meta", "Meta account overview", "how's my Meta account", "Meta health check", "what should I fix in my Facebook ads", or when the user is new to NotFair Meta and hasn't run an audit before.
.claude/skills/nowork-studio-meta-ads-audit/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-20 | ✗→✓ | ▲ Improved | -76% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -76% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 44% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -55% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -71% | 0% |
Read ../../meta-ads/audit/SKILL.md completely, then follow it as the active workflow. Normalize that path from the directory containing this wrapper: the canonical file is <plugin-root>/meta-ads/audit/SKILL.md, not <plugin-root>/skills/meta-ads-audit/audit/SKILL.md. Resolve every relative reference from the canonical file against <plugin-root>/meta-ads/audit/. If the canonical file cannot be read, stop and report the packaging error; never substitute a similarly named skill from another plugin.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-20 | fail→pass | 17,903 | 7,664 | -57% | 1 | 1 | 0% | 1,874 | 450 | -76% | 0 | 0 | — |
case-01 | fail→fail | 25,983 | 20,829 | -20% | 1 | 1 | 0% | 3,121 | 2,370 | -24% | 0 | 0 | — |
case-02 | fail→fail | 23,534 | 22,468 | -5% | 1 | 1 | 0% | 2,687 | 2,653 | -1% | 0 | 0 | — |
case-03 | fail→pass | 35,127 | 12,455 | -65% | 1 | 1 | 0% | 4,301 | 1,034 | -76% | 0 | 0 | — |
case-04 | pass→pass | 32,976 | 20,414 | -38% | 1 | 1 | 0% | 1,761 | 2,026 | +15% | 0 | 0 | — |
case-05 | pass→pass | 32,135 | 41,258 | +28% | 1 | 1 | 0% | 4,147 | 3,916 | -6% | 0 | 0 | — |
case-06 | pass→pass | 24,982 | 25,374 | +2% | 1 | 1 | 0% | 3,661 | 4,363 | +19% | 0 | 0 | — |
case-07 | fail→pass | 25,943 | 37,176 | +43% | 1 | 1 | 0% | 3,875 | 5,593 | +44% | 0 | 0 | — |
case-08 | pass→pass | 13,652 | 7,013 | -49% | 1 | 1 | 0% | 1,414 | 1,329 | -6% | 0 | 0 | — |
case-09 | fail→pass | 18,603 | 9,199 | -51% | 1 | 1 | 0% | 1,876 | 839 | -55% | 0 | 0 | — |
case-10 | pass→pass | 16,467 | 12,393 | -25% | 1 | 1 | 0% | 1,552 | 996 | -36% | 0 | 0 | — |
case-11 | fail→fail | 8,018 | 10,148 | +27% | 1 | 1 | 0% | 440 | 619 | +41% | 0 | 0 | — |
case-12 | fail→fail | 21,044 | 8,947 | -57% | 1 | 1 | 0% | 1,772 | 494 | -72% | 0 | 0 | — |
case-13 | fail→pass | 16,930 | 9,190 | -46% | 1 | 1 | 0% | 2,076 | 608 | -71% | 0 | 0 | — |
case-14 | fail→pass | 20,227 | 10,272 | -49% | 1 | 1 | 0% | 1,958 | 557 | -72% | 0 | 0 | — |
case-15 | fail→pass | 11,950 | 8,463 | -29% | 1 | 1 | 0% | 1,733 | 549 | -68% | 0 | 0 | — |
case-16 | fail→pass | 10,925 | 5,053 | -54% | 1 | 1 | 0% | 1,684 | 642 | -62% | 0 | 0 | — |
case-17 | fail→pass | 23,138 | 22,840 | -1% | 1 | 1 | 0% | 2,610 | 1,105 | -58% | 0 | 0 | — |
case-18 | fail→fail | 10,623 | 9,068 | -15% | 1 | 1 | 0% | 778 | 749 | -4% | 0 | 0 | — |
case-19 | fail→pass | 24,533 | 9,998 | -59% | 1 | 1 | 0% | 1,325 | 705 | -47% | 0 | 0 | — |
case-21 | fail→pass | 15,279 | 6,034 | -61% | 1 | 1 | 0% | 1,451 | 851 | -41% | 0 | 0 | — |
case-22 | pass→pass | 13,845 | 16,677 | +20% | 1 | 1 | 0% | 1,384 | 1,063 | -23% | 0 | 0 | — |
case-23 | fail→pass | 46,730 | 3,321 | -93% | 1 | 1 | 0% | 4,857 | 538 | -89% | 0 | 0 | — |
case-24 | fail→pass | 21,588 | 8,716 | -60% | 1 | 1 | 0% | 2,154 | 562 | -74% | 0 | 0 | — |
case-25 | fail→pass | 15,570 | 8,686 | -44% | 1 | 1 | 0% | 1,368 | 653 | -52% | 0 | 0 | — |
case-26 | pass→pass | 15,204 | 11,982 | -21% | 1 | 1 | 0% | 1,572 | 920 | -41% | 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. 26 cases were attempted. The headline lift of +54 percentage points is the difference between those two pass rates over the 26 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.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 9/9/2026 | +4% |
Other measured skills in the registry, with their headline benchmark lift.