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Get Started Free →[COMMUNITY] Generate a UAE PDPL (Federal Decree-Law 45/2021) compliance assessment including DPIA, lawful-basis register, data-subject-rights procedure, and cross-border transfer log. Anchored on the UAE Data Office statutory framework.
.claude/skills/thomasmoreai-arckit-uae-pdpl/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-17 | ✗→✓ | ▲ Improved | 49% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -4% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 12% | 0% |
| case-12 | ✗→✓ | ▲ Improved | 7% | 0% |
| case-14 | ✗→✓ | ▲ Improved | -21% | 0% |
> ⚠️ Community-contributed command — not part of the officially-maintained ArcKit baseline. Output should be reviewed by qualified DPO / RSSI / federal compliance counsel before reliance. Citations to UAE Cabinet / PDPL / IAS / Cybersecurity Council text may lag the current text — verify against the source.
text$ARGUMENTS
You are an enterprise architect generating a UAE PDPL Compliance Assessment for a federal entity.
projects/000-global/ARC-000-PRIN-*.md (federal principles, if present).arckit/templates/_partials/RENDERING.md.arckit/templates-custom/uae-pdpl-template.md (user override).arckit/templates-custom/uae-pdpl-template.md.arckit/templates/uae-pdpl-template.mdscripts/bash/generate-document-id.sh PDPL --filename for the artefact filename.<!-- DOC-CONTROL-HEADER --> marker per RENDERING.md..arckit/references/citation-instructions.md. Federal Decree-Law No. 45 of 2021 MUST appear in the Document Register with its primary URL and the verification date.projects/<project-id>/<filename>.Federal Decree-Law No. 45 of 2021 on the Protection of Personal Data. Authority: UAE Data Office. Primary URL: <https://uaelegislation.gov.ae/en/legislations/1972/download>
The PDPL Executive Regulation status MUST be flagged as "verified as of date]" in the External References section because publication status changes — see docs/guides/uae-overlay-maintenance.md for the current verification date.
After completing this command, consider running:
$arckit-risk -- DPIA outputs feed the risk register's privacy and regulatory entries.$arckit-uae-data-sharing -- Per-share lawful-basis mapping continues into the data sharing agreement.$arckit-uae-classification -- PDPL-relevant datasets must be classified appropriately.| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 27,981 | 58,855 | +110% | 1 | 1 | 0% | 4,803 | 6,031 | +26% | 0 | 0 | — |
case-17 | fail→pass | 12,850 | 12,008 | -7% | 1 | 1 | 0% | 2,178 | 3,251 | +49% | 0 | 0 | — |
case-02 | fail→fail | 35,848 | 8,112 | -77% | 1 | 1 | 0% | 6,225 | 1,434 | -77% | 0 | 0 | — |
case-03 | fail→fail | 29,731 | 131,358 | +342% | 1 | 1 | 0% | 4,903 | 1,933 | -61% | 0 | 0 | — |
case-04 | pass→pass | 16,589 | 39,164 | +136% | 1 | 1 | 0% | 3,062 | 5,938 | +94% | 0 | 0 | — |
case-05 | fail→fail | 34,903 | 33,944 | -3% | 1 | 1 | 0% | 6,186 | 7,216 | +17% | 0 | 0 | — |
case-06 | fail→fail | 24,433 | 33,677 | +38% | 1 | 1 | 0% | 3,946 | 7,215 | +83% | 0 | 0 | — |
case-07 | fail→fail | 11,077 | 11,340 | +2% | 1 | 1 | 0% | 1,929 | 1,802 | -7% | 0 | 0 | — |
case-08 | fail→fail | 13,186 | 6,227 | -53% | 1 | 1 | 0% | 2,317 | 1,336 | -42% | 0 | 0 | — |
case-09 | fail→pass | 12,493 | 6,370 | -49% | 1 | 1 | 0% | 2,262 | 2,167 | -4% | 0 | 0 | — |
case-10 | fail→pass | 10,589 | 8,712 | -18% | 1 | 1 | 0% | 2,133 | 2,380 | +12% | 0 | 0 | — |
case-11 | pass→pass | 11,178 | 10,598 | -5% | 1 | 1 | 0% | 2,105 | 2,921 | +39% | 0 | 0 | — |
case-12 | fail→pass | 11,575 | 7,693 | -34% | 1 | 1 | 0% | 2,181 | 2,331 | +7% | 0 | 0 | — |
case-13 | fail→fail | 6,567 | 2,537 | -61% | 1 | 1 | 0% | 1,027 | 1,526 | +49% | 0 | 0 | — |
case-14 | fail→pass | 9,682 | 2,360 | -76% | 1 | 1 | 0% | 1,686 | 1,330 | -21% | 0 | 0 | — |
case-15 | fail→fail | 8,878 | 3,964 | -55% | 1 | 1 | 0% | 1,356 | 1,579 | +16% | 0 | 0 | — |
case-16 | fail→pass | 9,639 | 2,860 | -70% | 1 | 1 | 0% | 1,533 | 1,603 | +5% | 0 | 0 | — |
case-18 | fail→pass | 12,589 | 12,639 | +0% | 1 | 1 | 0% | 2,074 | 3,154 | +52% | 0 | 0 | — |
case-19 | pass→pass | 11,541 | 9,360 | -19% | 1 | 1 | 0% | 1,643 | 2,665 | +62% | 0 | 0 | — |
case-20 | fail→pass | 9,403 | 7,057 | -25% | 1 | 1 | 0% | 1,436 | 2,291 | +60% | 0 | 0 | — |
case-21 | fail→pass | 15,687 | 2,021 | -87% | 1 | 1 | 0% | 1,866 | 1,355 | -27% | 0 | 0 | — |
case-22 | fail→pass | 13,658 | 5,759 | -58% | 1 | 1 | 0% | 2,245 | 2,115 | -6% | 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 17 counted toward the lift figure. The other 5 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 +45 percentage points is the difference between those two pass rates over the 17 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
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.