SKU: 41826801376
mtg ninjutsu cards

mtg ninjutsu cards MTG Commander Deck EDH Deck Yuriko, the Tiger's Shadow 100 Magic Cards – Moonveil Games

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Description

mtg ninjutsu cards MTG Commander Deck EDH Deck Yuriko, the Tiger's Shadow 100 Magic Cards – Moonveil GamesCrafted for the casual Commander player, this deck balances affordability with solid performance. This is a Custom Built Commander Deck built by Moonveil Games. This is NOT an official Wizards of the Coast preconstructed deck. This complete 100 card commander deck was hand assembled using authentic Magic: The Gathering cards. It's designed for casual Commander EDH play and offers a fun, themed experience right out of the box! Condition & Shipping:

Crafted for the casual Commander player, this deck balances affordability with solid performance.

This is a Custom-Built Commander Deck built by Moonveil Games. This is NOT an official Wizards of the Coast preconstructed deck.

This complete 100-card commander deck was hand-assembled using authentic Magic: The Gathering™ cards. It's designed for casual Commander/EDH play and offers a fun, themed experience right out of the box!

📦 Condition & Shipping:
Cards range from Near Mint (NM) to Moderately Played (MP)
Ships within 1 business day
Free shipping within the U.S.

🔍 Important Notes:
All cards included are genuine, English-language Magic: The Gathering™ cards printed by Wizards of the Coast. You will never receive fake or proxy cards. This is not an official Wizards of the Coast product, preconstructed deck, or bundle. We are not affiliated with, endorsed by, or sponsored by Wizards of the Coast, Hasbro, or any associated brands. The deck is sold unsleeved and without a deck box, unless otherwise noted. This deck does NOT include tokens

Commander - 1
Yuriko, the Tiger's Shadow

Artifacts - 9
Brainstone
Mind Stone
Charcoal Diamond
Sky Diamond
Arcane Signet
Sol Ring
Midnight Clock
Commander's Sphere
Dimir Locket

Artifact/Enchantment - 1
Bident of Thassa

Creatures - 33
Looter il-Kor
Spectral Sailor
Moonsnare Specialist
Dream Eater
Faerie Dreamthief
Void Beckoner
Snaremaster Sprite
Siren Stormtamer
Triton Shorestalker
Faerie Seer
Azra Smokeshaper
Changeling Outcast
Silver Raven
Moonblade Shinobi
Ornithopter
Silent-Blade Oni
Biting-Palm Ninja
Silver-Fur Master
Merfolk Windrobber
Gingerbrute
Dokuchi Silencer
Artificer's Assistant
Inkrise Infiltrator
Prosperous Thief
Phantom Ninja
Mukotai Ambusher
Nightveil Sprite
Ornithopter of Paradise
Shark Shredder, Killer Clone
Splinter, Hamato Yoshi
Aether Channeler
Oroku Saki, Shredder Rising
Mulldrifter

Enchantments - 2
Coastal Piracy
Smoke Shroud

Instants & Sorceries - 17
Brainstorm
Brainsurge
Dig Through Time
Treasure Cruise
Boon of the Wish Giver
Eagle Vision
Portent
Rags // Riches
Connive // Concoct
Commit // Memory
Into the Story
Lethal Scheme
Deadly Derision
Evacuation
Donatello's Technique
Devastation Tide
Shredder's Technique

Lands - 37
Tainted Isle
Sunken Hollow
Warped Landscape
Creeping Tar Pit
Darkwater Catacombs
Access Tunnel
Rogue's Passage
Escape Tunnel
Command Tower
Choked Estuary
Myriad Landscape
Swamps 14
Islands 12

Designer Notes:   Attack with a deadly swarm of ninjas and let Yuriko, the Tiger’s Shadow turn every strike into massive damage. Sneak past blockers, flip high-cost cards off the top, and watch your opponents life totals vanish in a flash!

🎁 BONUS INCLUDED:
Every deck purchase includes 3 bonus rare cards, randomly selected from our inventory!

We're happy to help, contact us if you have any questions.

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SKU: 41826801376

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4.1 ★★★★★
Based on 22 reviews
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Verified Purchase
Jenny Holden
Belleville, US
★★★★★ 1
Not useful
Format: Paperback
This book has a few pieces of good advice, but its buried under mountains of weird and amateur level musings. Example: Paul Singman advocates for eliminating ETL entirely. How? Just reprogram the applications to which you may or may not have the source code to handle your data processing. He calls Intention Data Transfer 🥴 Thanks for the advice Paul, I'll get right on that.
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Reviewed in the United States on February 17, 2026
D
Verified Purchase
David Escobar
New York, US
★★★★★ 5
Good starting point. But can't find the code.
Format: Kindle
Reading chapter 3. It was so far so good, but can't find the code in the repo. "All the related code can be found in the repository under project/hooks-notification." And in the repo I see no project folder. Please help!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on April 3, 2026
W
Verified Purchase
WU.
Grantham, US
★★★★★ 4
Good overview of the leading Agentic Framework. Will become outdated quickly.
Format: Paperback
3.5 Stars rounded up. Not a bad place to start if you need to get up to speed fast with Claude Code, understand its vast feature set, how it works under the hood, best practices, and the various agent primitives and how to get the most out of them. Agentic frameworks (Claude Code in particular) are quickly becoming table stakes for anyone working in tech, so it's best to start now. I appreciated the author's ability to flesh out areas where Anthropic's documentation is lacking in depth and nuance, and for some not already working with Claude in their own repos, the fact that he provides "toy" repos where one can experiment with the tools without fear of consequence. Where the book falls short is that most of the stuff in here is already covered pretty well already in Anthropic's docs, or even better so in their free "Skilljar" courses. What's more, some areas are given a bit of a shallow treatment, while others are a bit better done. So it's a bit inconsistent in that sense. Also, I can see how this book will quickly lose its currency in a few months at the pace things are going. Ultimately, for me, the price of this book was a bit rich for my liking given the criticisms above. Still, I feel like I got valuable info that rounded up what I already knew from working with this agentic framework. Recommended.
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Reviewed in the United States on May 28, 2026
B
Brahmananda Reddy
Charlottesville, US
★★★★★ 5
Practical AI Engineering Beyond Prompts — One of the Better Books on Agentic Coding
Format: Paperback
This book is not another “AI coding hype” book. A lot of books talk about agents at a very high level. This one actually explains how things work when you try to use them inside real development workflows. That was the biggest difference for me. What I liked most was the focus on context engineering, memory, MCP, hooks, subagents, and workflow orchestration instead of just “prompt better.” The author spends time explaining why long-running agent systems fail, how context grows over time, and why most AI coding setups become messy without structure. The examples also feel practical — The HookHub project, Next.js setup, GitHub workflows, Claude memory files, and MCP integrations make it easier to connect theory with actual implementation. From my retail domain experience perspective, I could immediately connect this to forecasting and pricing workflows. For example: * agents helping analysts generate specs before model development * automated code review for promo forecasting pipelines * isolated subagents for pricing, promotions, assortment * persistent memory for business rules across teams * MCP integrations to pull context from internal systems safely The section around context isolation and subagents especially stood out because that is very similar to how enterprise forecasting teams already operate in reality. Different teams own different decision spaces. One thing I appreciated: the author does not oversell AI. There is a strong focus on constraints, context pollution, hallucinations, performance degradation, and workflow reliability. That makes the book feel grounded instead of marketing-heavy. This is not for complete beginners though. If someone has never worked with Git, APIs, coding agents, or LLM workflows, parts of the book may feel overwhelming early on. The author clearly says this is not beginner-level content. Overall, probably one of the more practical books I have read recently on agentic coding systems. Good for: * software engineers * AI engineers * enterprise architecture teams * technical product teams * analytics leaders trying to operationalize AI development workflows Especially useful if your organization is trying to move from “AI demos” into actual production workflows.
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Reviewed in the United States on May 20, 2026
U
UA
Port Orchard, US
★★★★★ 5
A Good Reality Check on How AI Agents Actually Work in Enterprise Systems
Format: Paperback
Most AI books stop at prompts. This one goes deeper into how agent systems actually behave once you try to use them inside large workflows with memory, tools, permissions, automation, and multiple agents working together. That part felt very relevant for healthcare and enterprise environments. The book does a good job explaining why context engineering matters and how poor context handling creates hallucinations, inconsistent outputs, and degraded performance over time. Honestly, that is one of the biggest problems organizations underestimate right now. In healthcare workflows, context matters a lot: * prior interactions * business rules * auditability * escalation logic * safety constraints * tool permissions * workflow boundaries The sections on persistent memory, scoped context, subagents, and structured workflows connected strongly to that reality. I work in enterprise analytics, and while reading this book I kept thinking about use cases like: * pharmacy workflow automation * prior authorization support systems * coding assistants for healthcare engineering teams * AI copilots for operational analytics * agent-based escalation systems * claims and workflow orchestration The MCP chapters were also useful because they explain integration challenges clearly instead of treating tooling as magic. What made this book stand out for me was the balance between implementation and architecture. The author explains: * why long contexts fail * how context poisoning happens * why isolation matters * when parallel agents help * when they actually create more complexity That level of honesty is missing in many AI books right now. Another thing: the examples are not overly academic — The Next.js project setup, GitHub automation, Claude desktop workflows, memory systems, hooks, and subagents make the learning process feel practical and hands-on. One limitation: this book assumes technical background. Someone completely new to coding agents, LLMs, Git, or development workflows may struggle in the first few chapters. But for engineers, AI teams, enterprise architects, and technical leaders trying to understand where agentic coding is actually going, this book is worth reading. Especially for organizations trying to operationalize AI safely instead of just experimenting with chatbots.
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Reviewed in the United States on May 20, 2026

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