New Article Template

ARTICLE TITLE

Remembering (Knowledge / Recall)

🧠 List the foundational vocabulary and factual knowledge an expert should be able to recall.

• Core terminology & definitions
  • Term 1 – Replace this link with the topic's actual Wikipedia article later.
  • Term 2 – Short, precise definition.
  • Term 3 – Key acronym, role, object, protocol, etc.

• Key components / actors / parts
  • Component 1 – What it is.
  • Component 2 – Where it fits.

• Canonical tools & frameworks
  • Tool or Standard

• Where this topic commonly appears
  • Industries, fields, workflows, real-world environments.

• Typical recall-level facts
  • Year introduced, creator/vendor, category, major versions.

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Understanding (Comprehension)

📖 Explain what the topic means, how it works conceptually, and how it relates to similar ideas.

• Conceptual relationships & contrasts
  • Topic vs. alternative approach — key differences.
  • Topic inside a broader system or ecosystem.

• Core principles & paradigms
  • Foundational theory, learning model, architectural mindset.

• How it works (high-level)
  • Inputs → processes → outputs.

• Roles & perspectives
  • Builder, operator, stakeholder, end user.

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Applying (Use / Application)

🛠️ Show what someone can *do* with the topic.

• "Hello, World" example
  • Minimal, canonical starter use case.

• Core task loops
  • Regular workflows, processes, or procedures.

• Frequently used commands / functions / actions
  • Short reference list.

• Real-world use cases
  • Common applications, industries, or problems solved.

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Analyzing (Break Down / Analysis)

🔬 Demonstrate expert-level structural understanding and diagnostic reasoning.

• Comparative analysis
  • Topic vs. competing tools, methods, or systems.

• Failure modes & root causes
  • What commonly goes wrong and why.

• Troubleshooting & observability techniques
  • Logs, metrics, debugging steps.

• Structural insights
  • Dependencies, internal architecture, system boundaries.

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Creating (Synthesis / Create)

🏗️ Demonstrate designing or building with the topic.

• Design patterns & best practices
  • Proven solutions or recommended structures.

• Security, governance, or ethical considerations

• Lifecycle management strategies
  • Versioning, migrations, backward compatibility.

• Scalability & optimization patterns

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Evaluating (Judgment / Evaluation)

⚖️ Assessing suitability, trade-offs, risks, or long-term value.

• Evaluation frameworks & tools
  • How to measure effectiveness, reliability, quality.

• Maturity & adoption models
  • Ecosystem stability, documentation, community size.

• Key performance indicators
  • Quantitative or qualitative success measures.

• Strategic decision criteria
  • When to use this topic — and when not to.

• Holistic impact analysis
  • Cost, maintainability, learning curve, governance, risks.

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Linking Guidelines

• Replace all placeholder external links with Wikipedia links when available.
• Use the format: `Descriptive link text`
• Internal wiki pages use double brackets: `Article Name`