skater dress template Valleyberry skater dress for children (PDF)
SKU: 73457967300
skater dress template

skater dress template Valleyberry skater dress for children (PDF)

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Description

skater dress template Valleyberry skater dress for children (PDF)This is a children's version of Valley skater dress for women (FREE) Featuring: Semi fitted at the shoulders, chest and waist dress with a 3 4 circle skirt with 2 pleats in the front and 2 pleats in the back dress or a peplum top designed for knit fabrics. Comes with a fully lined bodice, crew or scoop neckline and optional belt (sew in). Can be made as a sleeveless dress or a dress with long, 3 4, short or cap sleeves. Features additional options

This is a children's version of Valley skater dress for women (FREE)

Featuring: 

Semi fitted at the shoulders, chest and waist dress with a 3/4 circle skirt with 2 pleats in the front and 2 pleats in the back dress or a peplum top designed for knit fabrics. Comes with a fully lined bodice, crew or scoop neckline and optional belt (sew in). Can be made as a sleeveless dress or a dress with long, 3/4, short or cap sleeves. Features additional options such as: a flounce for the sleeveless version, a Peter Pan collar for the crew neck option or a bow for the belt version.


The pattern offers the following options:

View A - a dress with a fully lined dress and a belt with a bow

View B - a dress with a fully lined bodice, a belt and sleeve flounce

View C - a peplum top with a fully lined bodice, a collar and long / 3/4  / short or cap sleeves

View D - a sleeveless dress with a non lined bodice, finished with bands


Compatible with:

S7021 Add-on Skirts for Valleyberry

S7022 Add-on Puffed sleeves for Valleyberry

S7023 Add-on Flared sleeves for Valleyberry

 

REGULAR sizing / SLIM sizing 

Sizes D-R
HEIGHT 80-164 cm / 31.5-64.6 in
Appr. 12 Months - 14 Years

Techniques to master: serging, topstitching

This pattern is designed to get professionally looking garment using a standard sewing machine. 

Comes with a detailed tutorial with step by step instructions and photos.

WHAT'S INSIDE

1. PDF tutorial with pictures (25 pages)
2. A4/Letter layered multisized  pattern in sizes REG D-R and SLIM D-R (80-164 cm / 31.5-64.6 in) (28 pages)
3. A0/Copyshop layered multisized pattern in sizes REG D-R and SLIM D-R (80-164 cm / 31.5-64.6 in)  (2 pages)
4. Projector multisized layered pattern with a calibration grid in sizes REG D-R and SLIM D-R (80-164 cm / 31.5-64.6 in) 
5. Facebook group support

SIZING

This pdf pattern is drafted for 2 body types - Regular and Slim. Please note, that Regular and Slim sizing charts refer to the body type (vertical to horizontal measurements proportions) and not to the fit of the garment.

REGULAR sizing / SLIM sizing 

Sizes D-R
HEIGHT 80-164 cm / 31.5-64.6 in
Appr. 12 Months - 14 Years

DIFFICULTY

The pdf pattern is a beginner (2/10)  level and moderately easy to sew.
Takes 3-6 hours to finish (time may vary depending on options, your skills, equipment and supplies).

FABRIC

 

60" / 140-160 cm

Light to medium weight knit fabric with at least 20-30 % horizontal and 10-20% vertical stretch

CAP / SHORT SLEEVE PEPLUM
D-G 0.6 m / 2/3 yd H-K 0.6 m / 3/4 yd L-R 0.9 m / 1 yd

CAP / SHORT SLEEVE KNEE LENGTH
D-G 0.7 m 3/4 yd H-K 0.9 m / 1 yd L-R 1.1 m / 1 1/4 yd

CAP / SHORT SLEEVE MID CALF
D-G 0.9 / 1 yd H-K 1 m / 1 1/8 yd L-R 1.2 m / 1 1/3 yd

3/4 / LONG SLEEVE PEPLUM
D-G 0.6 m / 2/3 yd H-J 0.6 m / 3/4 yd K-N 0.9 m / 1 yd
O-R 1.2 m / 1 1/4 yd

3/4 / LONG SLEEVE KNEE LENGTH
D-G 0.7 m 3/4 yd H-J 0.9 m / 1 yd K-N 1.2 m / 1 1/4 yd
O-R 1.4 m / 1 1/2 yd

3/4 / LONG SLEEVE MID CALF
D-G 0.9 / 1 yd H-J 1 m / 1 1/8 yd K-N 1.1 m / 1 1/4 yd
O- R 1.6 m / 1 2/3 yd

BODICE LINING (for lined bodice)
D-J 0.3 m / 1/3 yd
K-R 0.45 m / 1/2 yd

FLOUNCE (if using in addition to sleeves) 0.2 m / 1/4 yd

COLLAR 0.2 - 0.3 m / 1/4 - 1/3 yd

BELT LINING 8 cm / 3 in

If using ribbing for neckband for unlined version (highly recommended specially for smaller sizes with crew neckline) 5 cm / 2 in

 

NOTIONS

  1. 2 strips 10-15 cm / 4-6 in long 10 mm / 3/8 in wide or clear elastic or cotton tape to stabilize shoulders.

  2. (optional for low recovery fabrics, lined bodice only) clear elastic to stabilize neckline / armholes (for sleeveless version) 1-1.5 m / 1- 1/2 yards

  3. 2 strips of 1-1.5 cm x 20 cm (3/8-5/8 x 8 in) for version with pockets

  4. Polyester / Cotton threads

  5. (optional) Matching overlocker threads, preferably wooly nylon stretch overlocking thread

 

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SKU: 73457967300

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Nader
Dallas, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
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noam barkay
Omaha, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Pawtucket, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
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Vineeth Sai
New York, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
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CL
Draper, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025

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