RAYA Silicone Keyboard Skin Cover for 2024-2021 MacBook Air 15″ M3 (A3114 A2941), Air 13.6″ M2 (A3113 A2681), MacBook Pro 14″ & 16″ (A2918 A2992 A2779 A2442 A2991 A2780 A2485) Laptops (Black)

RAYA Silicone Keyboard Skin Cover for 2024-2021 MacBook Air 15″ M3 (A3114 A2941), Air 13.6″ M2 (A3113 A2681), MacBook Pro 14″ & 16″ (A2918 A2992 A2779 A2442 A2991 A2780 A2485) Laptops (Black)
Price: ₹999 - ₹295.00
(as of Apr 18,2025 07:00:47 UTC – Details)



RAYA Silicone Soft Keyboard Protector
Product Information:
Overview:
Protection for your Macbook keyboard against spills, dust, and other contaminants.
RAYA’s durable premium SILICONE material holds its shape to always perfectly fit your Macbook’s keyboard.
Compatibility:
Compatible ONLY with 2022 released Macbook Air M2 Chip 13.6 inch with Touch ID

Compatible ONLY with Macbook Pro 14 inch 2021 Released with Touch ID
Models: A2442 M1 Pro/M1 Max
Compatible ONLY with Macbook Pro 16 inch 2021 Released with Touch ID
Models: A2485 M1 Pro/M1 Max
What’s in the Box?
One silicone Keyboard Protector with paper retail package
✅ {Compatibility}: Engineered to fit precisely for the keyboard of your 2024-2021 M3 M2 MacBook Air 15″ (A3114 A2941) Air 13.6″ (A3113 A2681), MacBook Pro 14″ 16″ M3 M2 M1 (A2918 A2992 A2779 A2442 A2991 A2780 A2485)
✅ { US / INDIA LAYOUT ONLY }: The keyboard protector layout only fit to ENTER (return key) type is US version.
✅ {KEYBOARD COVER PROTECTION}: Waterproof and dustproof, protect your laptop against spills, dust, and other contaminants.
✅ {MATERIAL}: Made with premium engineering grade silicone material, ultra thin to 0.3mm won’t hurt the screen and made it easier for typing.
✅ {USAGE}: Completely washable with soap water and reusable.
✅ Notice: Please Check your Keyboard layout with the image-2 provided before placing the Order.

Customers say

Customers find that the keyboard skin fits perfectly and looks good. The quality receives mixed feedback, with some customers describing it as perfect while others say it’s not a good product.

AI-generated from the text of customer reviews

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