Code Explainer Skill

When explaining code, always follow this structure:

When to Use

• User asks "how does this work?"
• Explaining a codebase to a new team member
• Teaching a concept through code examples
• Creating code walkthroughs or tutorials

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Steps

Step 1: Start with an Analogy

Compare code to everyday life:

• API endpoints -> Restaurant ordering (menu = endpoints, kitchen = backend)
• Database connections -> Library system (books = data, catalog = schema)
• Event loops -> Restaurant host managing reservations
• Caching -> Keeping frequent items on your desk
• Authentication -> Security guard checking IDs

Step 2: Draw a Diagram

User Input -> Validation -> Processing -> Database -> Response
    ^                                              |
    +------------ Error Handling <-----------------+

graph LR
    A[Frontend] --> B[API]
    B --> C[Service]
    C --> D[(Database)]

Step 3: Walk Through the Code

# Step 1: User clicks submit -> triggers this function
def handle_submit(form_data):
    # Step 2: Validate (like a bouncer checking IDs)
    validated = validate(form_data)
    # Step 3: Process (like a chef preparing your order)
    result = process(validated)
    # Step 4: Save (like filing a document)
    save_to_db(result)
    # Step 5: Confirm (like getting a receipt)
    return success_response()

Step 4: Highlight a Gotcha

Show common mistakes with before/after:

# Wrong: mutable default argument
def add_item(item, items=[]):
    items.append(item)
    return items

# Fixed: use None
def add_item(item, items=None):
    items = items or []
    items.append(item)
    return items

Step 5: Explain the Why

Don't just explain what, explain WHY:

• Why this pattern was chosen
• Why not simpler alternatives
• What problems this solves
• What trade-offs were made

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Checklist

• Analogy provided for complex concepts
• Visual diagram included (ASCII or Mermaid)
• Step-by-step walkthrough with comments
• Common gotcha highlighted
• "Why" explained (not just "what")
• Conversational tone used