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Get Started Free →Use when auditing slow page loads, heavy assets, or rendering delays related to Implement Google Consent Mode v2. Verify the actual bottleneck in DevTools, Lighthouse, or field data before recommending changes.
.claude/skills/thedaviddias-consent-mode/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 16% | 0% |
| case-18 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-02 | ✓→✓ | ＝ Same ✓ | 5% | 0% |
| case-03 | ✓→✓ | ＝ Same ✓ | 17% | 0% |
| case-04 | ✓→✓ | ＝ Same ✓ | 15% | 0% |
Consent Mode v2 is essential for adhering to privacy regulations (like GDPR) while maintaining the ability to measure conversion and analytics data in a privacy-safe way.
gcd parameter is present in pings to Google servicesVerify that Google Consent Mode v2 is correctly implemented and sending the appropriate consent states.
Update your GTM or gtag.js implementation to support the new ad_user_data and ad_personalization consent types.
Explain the transition to Consent Mode v2 and why it's required for digital advertising in certain regions.
Review the routes, assets, and loading behavior that affect Implement Google Consent Mode v2. Flag exact files, requests, or rendering steps that add unnecessary network, CPU, or layout cost, and describe the measurement method used to confirm the issue.
For full implementation details, code examples, and framework-specific guidance, see references/rule.md.
Rule page: https://frontendchecklist.io/en/rules/performance/consent-mode
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 16,228 | 17,129 | +6% | 1 | 1 | 0% | 2,871 | 3,338 | +16% | 0 | 0 | — |
case-02 | pass→pass | 13,207 | 12,994 | -2% | 1 | 1 | 0% | 2,807 | 2,960 | +5% | 0 | 0 | — |
case-03 | pass→pass | 5,215 | 4,449 | -15% | 1 | 1 | 0% | 1,072 | 1,249 | +17% | 0 | 0 | — |
case-04 | pass→pass | 11,493 | 12,251 | +7% | 1 | 1 | 0% | 2,327 | 2,668 | +15% | 0 | 0 | — |
case-05 | pass→pass | 4,591 | 4,238 | -8% | 1 | 1 | 0% | 1,112 | 1,154 | +4% | 0 | 0 | — |
case-06 | pass→pass | 11,815 | 9,252 | -22% | 1 | 1 | 0% | 2,101 | 2,106 | +0% | 0 | 0 | — |
case-07 | fail→fail | 15,317 | 13,122 | -14% | 1 | 1 | 0% | 2,743 | 2,729 | -1% | 0 | 0 | — |
case-08 | pass→pass | 13,626 | 12,664 | -7% | 1 | 1 | 0% | 2,540 | 2,645 | +4% | 0 | 0 | — |
case-09 | pass→pass | 11,968 | 6,459 | -46% | 1 | 1 | 0% | 2,317 | 1,452 | -37% | 0 | 0 | — |
case-10 | pass→pass | 7,515 | 5,377 | -28% | 1 | 1 | 0% | 1,615 | 1,195 | -26% | 0 | 0 | — |
case-11 | pass→pass | 6,397 | 4,058 | -37% | 1 | 1 | 0% | 1,142 | 1,025 | -10% | 0 | 0 | — |
case-12 | pass→pass | 17,123 | 13,440 | -22% | 1 | 1 | 0% | 2,911 | 2,922 | +0% | 0 | 0 | — |
case-13 | pass→pass | 7,370 | 4,159 | -44% | 1 | 1 | 0% | 1,436 | 1,205 | -16% | 0 | 0 | — |
case-14 | pass→pass | 10,006 | 8,669 | -13% | 1 | 1 | 0% | 1,888 | 1,882 | -0% | 0 | 0 | — |
case-15 | pass→pass | 14,467 | 10,639 | -26% | 1 | 1 | 0% | 2,539 | 2,619 | +3% | 0 | 0 | — |
case-16 | pass→pass | 12,984 | 13,542 | +4% | 1 | 1 | 0% | 2,647 | 3,090 | +17% | 0 | 0 | — |
case-17 | pass→pass | 11,715 | 8,244 | -30% | 1 | 1 | 0% | 2,262 | 1,927 | -15% | 0 | 0 | — |
case-18 | fail→pass | 15,742 | 9,988 | -37% | 1 | 1 | 0% | 2,906 | 2,171 | -25% | 0 | 0 | — |
case-19 | pass→pass | 6,724 | 4,307 | -36% | 1 | 1 | 0% | 1,323 | 1,048 | -21% | 0 | 0 | — |
case-20 | pass→pass | 16,032 | 16,599 | +4% | 1 | 1 | 0% | 3,558 | 3,691 | +4% | 0 | 0 | — |
case-21 | pass→pass | 10,310 | 8,527 | -17% | 1 | 1 | 0% | 2,202 | 2,064 | -6% | 0 | 0 | — |
case-22 | pass→pass | 31,995 | 12,127 | -62% | 1 | 1 | 0% | 3,216 | 2,969 | -8% | 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 +9 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.