Bipolar Black Skirt
A contemporary interpretation of femininity, the Bipolar Skirt Black from Atelier Hamza combines the elegance of structured tailoring with the delicacy of lace, creating a distinctive design defined by contrast and refined detailing. Crafted from premium tailored fabric with a composition of 92% recycled polyester and 8% spandex, the skirt offers a structured silhouette, flexibility and comfortable wear. Its mini-length design is enhanced by two YKK side zippers, allowing adjustable openings that reveal the delicate black lace layer underneath. Details and Features: Premium Tailored Fabric – structured material with a smooth surface, offering a refined and contemporary appearance. Two YKK Side Zippers – functional metal zippers that allow adjustable side openings. Delicate Lace Underlayer – intricate black lace visible along the hemline and through the adjustable side openings. Contrasting Textures – the combination of structured fabric and delicate lace creates a sophisticated balance between elegance and sensuality. Mini-Length Silhouette – feminine proportions with a contemporary, precisely defined shape. Structured Waistband – carefully constructed to enhance the waistline and create a flattering silhouette. Concealed Back Zipper – discreet fastening system designed to maintain a clean and seamless appearance. Stretch-Enhanced Fabric – the addition of spandex provides flexibility and freedom of movement. Recycled Polyester Composition – crafted with recycled fibers for a durable and comfortable finish. Versatile Styling – designed to complement minimalist outfits as well as more expressive, contemporary feminine looks. Composition: 92% Recycled Polyester, 8% Spandex. Colour: Black Model wears size XS Model: 179 cm 59kg
Specifications
- Size
- XS, S, M, L
- Color
- Black
Variants (4)
- XS / Black — 312.00 USD — In stock
- S / Black — 312.00 USD — In stock
- M / Black — 312.00 USD — In stock
- L / Black — 312.00 USD — In stock
How AI sees this product
The more complete this product's details, the more confidently AI assistants can understand and recommend it.