SKU: 13699967392

昇華ユニフォームセット F663

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Description

昇華ユニフォームセット F663* * 928 ? * cm S M L XL XXL 3XL 165 170 170 175 175 180 180 185 185 190 190 195 69 71 73 76 78. 5 81 94 98 102 110 116 122 84 88 92 104 112 116 94 98 102 108 114 120 98 100. 4 104 106 110 114 cm 100 110 120 130 140 150 160 46 49 52 55 58 62 66 71 73 75 80 85 90 94 71 73 75 80 85 90 94 27 29 31. 4 33 34. 6 36. 6 38. 6 cm S M L XL 155 160 160 165 165 170 170 175 61 63 65 67 87 91 95 99 76 80 84 88 16 17 18 19 94 98 102 106

商品情報


豊富なカラーラインナップ。

  • 紺色
*
  • アイテム説明


    サッカーユニフォームとしてはもちろん、その他のスポーツやトレーニングにも最適です。
    襟元のタグは熱転写を採用し、肌に当たる不快感を取り除きました。


    ◇セットの内容


    昇華サッカーユニフォーム、昇華パンツ、ソックス。


    ◇納期


    ご注文確定後、およそ七日で製作完了、その後工場より発送いたします。


    ◇印刷種類

    熱昇華


    ◇種類


    半袖·長袖·ノースリーブタイプ、メンズ·レディース·キッズ用を取り揃えております。


    ※ご注意ください
    レディースは、ウエスト部を絞り身体のラインに沿う作りとなっております。
    メンズとは作りが異なりますので、ご注意ください。

*
  • 素材


    独自のハイテク技術が生み出した、92%ポリエステルと8%スパンデックスで構成された生地。
    柔軟性、通気性、速乾性に優れているのが特徴です。
    軽量繊維が肌の水分を即時に吸収?発散してくれます。
    適度な伸縮性があり、身体に心地よくフィットします。
    汗による不快感を取り除き、快適な着心地を提供いたします。

*

サイズ表


成人男性サイズ
(cm)
S M L XL XXL 3XL
参考身長
165-170
170-175
175-180
180-185
185-190
190-195
着丈
69 71 73 76 78.5 81
バスト
94 98 102 110 116 122
ウエスト
84 88 92 104 112 116
裾幅
94 98 102 108 114 120
ヒップ
98 100.4 104 106 110 114

キッズサイズ
(cm)
 100  110   120  130   140   150   160 
着丈
46 49 52 55 58 62 66
バスト
71 73 75 80 85 90 94
裾幅
71 73 75 80 85 90 94
肩幅 27 29 31.4 33 34.6 36.6 38.6

成人女性サイズ
(cm)
S M L XL
参考身長
155-160
160-165
165-170
170-175
着丈
61 63 65 67
バスト
87 91 95 99
ウエスト
76 80 84 88
袖丈
16 17 18 19
裾幅
94 98 102 106

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SKU: 13699967392

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4.9 ★★★★★
Based on 14 reviews
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Product Reviews
C
Christopher West
West Palm Beach, US
★★★★★ 5
Great book! Practical and for developers that already use AI!
Format: Paperback
I purchased "Agentic Coding" by Claude Code due to my desire for an alternative to generic "Prompt Template" type resources related to AI-based development. This book accomplishes just that. As opposed to merely viewing Claude Code as a "magic box", the author has explained how to utilize it in conjunction with other actual development processes. The authors' emphasis on "context engineering" (i.e., structuring data/information; managing knowledge in a project; guiding an AI agent to produce consistent results vs. producing random/unknown results) represents the strongest component of the book. It should be noted that the book appears to be intended primarily for experienced developers with prior experience in software development and/or familiarity with AI-based development tools. Should you be familiar with Git, the command-line interface, and/or modern development processes, you may find this resource very helpful. Conversely, I did appreciate the fact that there were no novice-oriented descriptions provided throughout the book. The aspect of the book that I found most valuable, however, is the extremely pragmatic nature of the material contained within. The examples illustrated through developing/maintaining CLAUDE.md files; utilizing Claude Code in combination with GitHub Workflows; employing MCP Servers; and creating multi-agent or sub-agent workflows all seemed to reflect a clear focus on "real world usage" rather than theoretical constructs. In addition, each chapter builds upon previous chapters in such a manner as to provide a logical progression through which the reader can easily understand and ultimately implement the concepts learned. I also appreciated that the author included guidance on responsible utilization of the tool(s), as well as maintaining control over what changes are made by the agent. While numerous books regarding AI focus solely on what AI tools can accomplish, this book addresses both how to utilize these tools effectively in a real codebase, as well as responsibility and safety considerations. In summary, this is not a book for individuals completely inexperienced in either programming or generative AI. However, if you are currently experimenting with tools such as Claude, Cursor, GitHub Actions, or MCP, this is likely one of the more useful and practical books available on the subject. Recommended for software engineers seeking to transition from simply "prompting an AI" into establishing a repeatable/professional workflow process surrounding agentic coding.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 11, 2026
P
Paul Pollock
Grantham, US
★★★★★ 4
⭐⭐⭐⭐ (so far)
Format: Paperback
I'm maybe a third of the way through this and already rethinking how I talk to coding agents. The reframe from "prompt engineering" to "context engineering" sounds like semantics until Marco walks you through why context poisoning, context clash, the Goldilocks zone for system prompts. That chapter alone reorganized something in my head. I keep going back to the line about garbage in, garbage out being the real reason agentic systems underperform. The hands-on stuff lands well too. Building the HookHub project from scratch, wiring up Playwright MCP, watching Claude generate a CLAUDE.md file and then not automatically loading a memory file you just created — that moment where you expect magic and get silence instead? That's the kind of honest teaching I appreciate. It made the "why" behind memory hierarchies click.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 12, 2026
J
Jonathan Reeves
West Palm Beach, US
★★★★★ 5
Essential Reading for Developers Serious About Agentic AI Workflows with Claude Code
Format: Paperback
Agentic Coding with Claude Code is easily one of the most practical and forward-thinking AI development books I’ve read. Instead of treating Claude Code like a simple chatbot, this book shows how to turn it into a true agentic development platform capable of handling real-world engineering workflows. What I appreciated most was how actionable the content is. The explanations around slash commands, hooks, persistent memory files, and MCP servers are incredibly clear and immediately useful. The author does an excellent job balancing foundational concepts with hands-on implementation, making advanced topics like multi-agent orchestration and hierarchical delegation approachable for experienced developers. The chapters on MCP and context engineering were especially valuable. Most AI books stay at the surface level, but this one dives deep into structured context sharing, workflow automation, and scalable AI-assisted development practices that actually matter in production environments. I also liked that the book focuses heavily on maintainability and control. It doesn’t just show flashy demos—it teaches how to safely integrate AI agents into existing terminal and IDE workflows while enforcing coding standards and keeping projects organized. The examples using Claude Code with Next.js projects were practical and helped connect the concepts to real software engineering scenarios. The sections on subagents, planning workflows, and reusable automation patterns opened my eyes to entirely new ways of approaching AI pair programming and development productivity. If you are a developer, AI engineer, or technical lead looking to move beyond basic prompt engineering and build reliable, scalable AI-assisted workflows, this book is absolutely worth reading. Highly recommended for anyone serious about modern agentic coding and AI-powered software development.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on May 9, 2026
K
Kirk D. Borne
Birmingham, US
★★★★★ 5
Agentic Coding - all the right pieces in the right places
Format: Paperback
Before obtaining a copy of this book, I had not yet become familiar with Claude Code and didn't realize how robust AI Pair Programming is now. However, I did know and have rigorously promoted the absolute importance of Context (via Context Engineering) in any AI-prompted tasks, including coding. This book brings all of that together in an incredibly useful book (dare I say... a comprehensive toolkit and handbook) for AI-prompted coding in these multiple modalities: IDE, command-line, and pair programming. It covers memory management, agents, subagents, multiple-agent systems, context-sharing, orchestration, enforcement of coding standards, code maintenance, and more - for executing AI-assisted development with confidence. I highly recommend this book. Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on May 19, 2026
C
Verified Purchase
CATRINA S
Birmingham, US
★★★★★ 5
Perfect size for me
Color: Light Color Series, Style: Waffle Pattern, Color: Light Color Series, Style: Waffle Pattern
Washed the cloths before use with just detergent. Pretty much stayed it shape and fluffy texture. It lathers well with any soap and drys fast. Love the texture size more than the exfoliating size. Texture side is great for sensitive face cleaning. The exfoliating side did soften after repeated use. I feel it is still little to rough for the face, but great for the body. 
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Reviewed in the United States on June 18, 2025

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