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Get Started Free →Plan and prepare a new paid-media campaign or cross-channel test before it can spend. Use when asked to create, launch, start, set up, or allocate budget to an advertising campaign on any supported platform.
.claude/skills/nowork-studio-paid-ads-launch/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 17% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -11% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -71% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 65% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 20% | 0% |
Read ../shared/operating-contract.md and ../shared/measurement-framework.md.
Do not build or recommend a spend plan until these are known: primary conversion and verification method, target CPA/ROAS or customer economics, daily and monthly budget, destination URL, geography, approved offer and claims, and the user who can approve spend. Diagnose tracking before optimizing toward it.
Choose the narrowest viable test. Search demand generally merits Google Search; visual discovery can suit Meta; B2B job/company targeting can suit LinkedIn; marketplace product demand can suit Amazon. A small budget split across several channels is usually an underpowered experiment: explain the tradeoff and set a review date if the user chooses it anyway.
Mark the following artifact ready_for_review:
| Field | Required content | |---|---| | Objective and measurement | Conversion, source of truth, attribution window, baseline, target, and review date | | Channel and structure | Platform, campaign/ad-set or ad-group structure, audience/query intent, and exclusions | | Budget | Currency, daily cap, implied monthly maximum, allocation, and pacing guardrail | | Message chain | Audience motivation, approved claim source, ad concept, CTA, and matching landing URL | | Experiment | Single primary variable, success metric, guardrail, minimum observation window, and stop condition | | Readiness | Tracking, policy/rights, creative, access, and dependencies marked complete or blocked |
For Google Ads, hand the approved brief to /notfair:google-ads, then create paused and read it back. For Meta, use /notfair:meta-ads for supported operations and route unavailable creation steps to Ads Manager. For X, LinkedIn, Reddit, or TikTok Ads, use the matching live operator skill and create paused or disabled unless activation is explicitly approved. For Amazon and ChatGPT Ads, provide an operator-ready brief unless the current session exposes a verified NotFair connector with the needed capability. Never resume a campaign without a separate explicit approval.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 20,095 | 20,969 | +4% | 1 | 1 | 0% | 3,088 | 3,614 | +17% | 0 | 0 | — |
case-02 | fail→pass | 33,500 | 16,797 | -50% | 1 | 1 | 0% | 3,331 | 2,967 | -11% | 0 | 0 | — |
case-03 | fail→pass | 40,497 | 18,273 | -55% | 1 | 1 | 0% | 6,908 | 2,019 | -71% | 0 | 0 | — |
case-04 | pass→pass | 11,804 | 23,422 | +98% | 1 | 1 | 0% | 1,822 | 2,278 | +25% | 0 | 0 | — |
case-05 | pass→pass | 15,506 | 15,218 | -2% | 1 | 1 | 0% | 2,717 | 3,225 | +19% | 0 | 0 | — |
case-06 | pass→pass | 18,294 | 18,238 | -0% | 1 | 1 | 0% | 3,142 | 3,062 | -3% | 0 | 0 | — |
case-07 | pass→pass | 16,862 | 17,436 | +3% | 1 | 1 | 0% | 2,526 | 2,940 | +16% | 0 | 0 | — |
case-08 | pass→pass | 15,850 | 17,311 | +9% | 1 | 1 | 0% | 2,130 | 2,978 | +40% | 0 | 0 | — |
case-09 | pass→pass | 16,455 | 14,109 | -14% | 1 | 1 | 0% | 2,314 | 2,680 | +16% | 0 | 0 | — |
case-10 | fail→pass | 11,608 | 15,980 | +38% | 1 | 1 | 0% | 1,894 | 3,130 | +65% | 0 | 0 | — |
case-11 | fail→pass | 14,973 | 15,217 | +2% | 1 | 1 | 0% | 2,476 | 2,964 | +20% | 0 | 0 | — |
case-12 | pass→pass | 13,144 | 10,801 | -18% | 1 | 1 | 0% | 1,986 | 2,048 | +3% | 0 | 0 | — |
case-13 | pass→pass | 14,348 | 20,726 | +44% | 1 | 1 | 0% | 2,077 | 1,689 | -19% | 0 | 0 | — |
case-14 | fail→fail | 33,792 | 11,571 | -66% | 1 | 1 | 0% | 1,871 | 2,019 | +8% | 0 | 0 | — |
case-15 | fail→pass | 17,241 | 8,940 | -48% | 1 | 1 | 0% | 2,288 | 1,807 | -21% | 0 | 0 | — |
case-16 | pass→pass | 8,945 | 5,752 | -36% | 1 | 1 | 0% | 1,051 | 1,081 | +3% | 0 | 0 | — |
case-17 | fail→pass | 8,920 | 5,418 | -39% | 1 | 1 | 0% | 1,156 | 1,048 | -9% | 0 | 0 | — |
case-18 | pass→pass | 6,192 | 4,811 | -22% | 1 | 1 | 0% | 679 | 824 | +21% | 0 | 0 | — |
case-19 | fail→pass | 12,754 | 11,635 | -9% | 1 | 1 | 0% | 1,523 | 2,059 | +35% | 0 | 0 | — |
case-20 | pass→pass | 10,781 | 8,785 | -19% | 1 | 1 | 0% | 1,445 | 1,892 | +31% | 0 | 0 | — |
case-21 | fail→fail | 14,562 | 7,419 | -49% | 1 | 1 | 0% | 1,926 | 1,601 | -17% | 0 | 0 | — |
case-22 | pass→pass | 9,720 | 12,351 | +27% | 1 | 1 | 0% | 1,388 | 2,081 | +50% | 0 | 0 | — |
case-23 | pass→pass | 7,275 | 9,674 | +33% | 1 | 1 | 0% | 1,060 | 1,730 | +63% | 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. 23 cases were attempted. The headline lift of +35 percentage points is the difference between those two pass rates over the 23 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 | 8/29/2026 | +26% |
Other measured skills in the registry, with their headline benchmark lift.