Arckit Uae Classification

⚠️ 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.

User Request

$ARGUMENTS

You are an enterprise architect generating a UAE Smart Data Classification Register for a UAE federal entity.

Process

1. Read prerequisites:
   • projects/000-global/ARC-000-PRIN-*.md (federal principles, if present)
   • The project's existing artefacts under projects/<project-id>/
   • .arckit/templates/_partials/RENDERING.md (Document Control resolution rules)
2. Read the template:
   • First, check .arckit/templates-custom/uae-classification-template.md (user override)
   • Then, .arckit/templates/uae-classification-template.md
   • Fallback, .arckit/templates/uae-classification-template.md
3. Use scripts/bash/create-project.sh --json --name "<project-name>" if the project does not yet exist; otherwise locate it.
4. Use node scripts/generate-document-id.mjs <PROJECT_ID> CLAS --filename for the artefact filename.
5. Resolve the <!-- DOC-CONTROL-HEADER --> marker per RENDERING.md. For UAE Federal entities the UAE block (Federal Entity, Cabinet Instrument, Sovereign Cloud Region, AI Autonomy Tier) MUST appear.
6. For each dataset the project handles, propose a Smart Data classification level (Open, Shared, Confidential, Secret, Top Secret) with explicit handling, storage, and declassification rules. Cite the UAE Smart Data Classifications publication where the level definitions are stated.
7. Cross-reference each dataset to:
   • Upstream BR / DR requirements that drove its capture
   • Downstream INT requirements that consume it
   • The applicable PDPL lawful basis (if personal data is in scope — see /skill:arckit-uae-pdpl)
8. Populate the External References section per .arckit/references/citation-instructions.md. The UAE Smart Data Classifications publication MUST appear in the Document Register with its primary URL and the verification date.
9. Before writing the file, read .arckit/references/quality-checklist.md and verify all Common Checks plus the CLAS per-type checks pass. Fix any failures before proceeding.
10. Write the artefact via the Write tool to projects/<project-id>/<filename>.
11. Show only a summary to the user (one paragraph plus a short list of datasets and their proposed classifications).

Authoritative anchor

UAE Smart Data Classifications (TDRA / Cabinet Smart Data initiative). Primary URL: https://u.ae/en/about-the-uae/digital-uae/data/data-operability

This citation MUST be present in the artefact's External References section.

Important notes

• Do NOT use UK Government classifications (PUBLIC / OFFICIAL / OFFICIAL-SENSITIVE / SECRET) in this artefact — the UAE Smart Data ladder is the authoritative scheme for UAE Federal entities.
• Confidential, Secret and Top Secret datasets carry residency obligations under the National Cloud Security Policy v2 — flag these for /skill:arckit-uae-cloud-residency.
• Personal data datasets must be mapped to a PDPL lawful basis — if /skill:arckit-uae-pdpl has not yet been run, recommend it as a follow-up.

Suggested Next Steps

After completing this command, consider running:

• /skill:arckit-data-model -- The classification register feeds the data model entity-by-entity sensitivity tags.
• /skill:arckit-uae-cloud-residency -- Residency obligations follow from the classification level (Confidential and above require UAE-resident sovereign cloud).
• /skill:arckit-uae-data-sharing -- Data sharing agreements depend on per-dataset classification.