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↔️ RTL UI Release Gate
Find direction, logical-CSS, interpolation, icon-mirroring, and render-evidence gaps before an RTL release.
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See it in action
You say
Supply surfaces with id, lang, dir, hardcodedDirectionalProperties, iconDecisions, interpolations, and screenshotEvidenceRef.
Your agent does
A deterministic PASS, REVIEW, BLOCK, or CANNOT_ASSESS result with stable finding codes, report, manifest, and SHA-256 receipts.
What you get
About this skill
RTL UI Release Gate turns owner-supplied normalized evidence into a deterministic local preflight. RTL interfaces fail through wrong direction declarations, physical CSS, unisolated dynamic text, and blindly mirrored semantic icons. Audits explicit structural observations and semantic icon decisions; it does not claim a static rule can replace rendered or native review. It makes no network request and performs no import, translation, rewrite, upload, merge, delivery, publication, purchase, message, or account change. Stable findings and SHA-256 receipts support review, while PASS remains explicitly narrower than source truth or authorization.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Recently published to Agensi
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Feedback buyers left on other skills by the same creator.
I already had a forecasting tool but this gave us more detail that I had Claude take the best parts and merge it into my current agent to make it more robust.
Trust & safety
Security scanned
Verified clean 14 days ago
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