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Example design

Skill viktorbezdek/skillstack/example-design/skills/example-design

Design pedagogically effective code examples, tutorials, and runnable samples using progressive complexity and deliberate scaffolding. Use when the user asks to write a code example that teaches a concept, design a quickstart tutorial, create sample code for a library or API, build a runnable demo, or structure examples from simple to advanced. NOT for generating full repo documentation or READMEs (use documentation-generator). NOT for writing examples inside a skill file (use skill-foundry). NOT for API endpoint design (use api-design).From its SKILL.md

Install
npx -y skills add viktorbezdek/skillstack --skill example-design

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One thing to look at

  • 10 stars10 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

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Example Design

Create code examples that teach effectively through progressive complexity.

Decision Tree: Which Example Type?

What does the user need?
├─ Show a single concept → Snippet (5-15 lines)
├─ Working code for a feature → Complete example (20-50 lines)
├─ Step-by-step teaching → Tutorial (multi-file, progressive)
└─ Reference for production use → Reference app (full project)

Example Types

TypePurposeLengthWhen to Use
SnippetSingle concept5-15 linesQuick reference, API parameter demo
Complete exampleWorking code20-50 linesFeature walkthrough, integration demo
TutorialStep-by-stepMulti-fileOnboarding, learning path
Reference appProduction patternsFull projectArchitecture reference, starter template

Progressive Complexity

Level 1: Minimal (happy path)
   ↓
Level 2: Add configuration
   ↓
Level 3: Add error handling
   ↓
Level 4: Add edge cases
   ↓
Level 5: Production-ready

Each level must be runnable independently. Never skip a level — the reader needs the progression to build understanding incrementally.

Example Anatomy

# 1. Context: What this does
"""Fetch user data from API"""

# 2. Setup: Prerequisites
import requests

# 3. Core: Main concept (highlight this)
response = requests.get("/users/123")  # <-- Key line
user = response.json()

# 4. Result: Expected output
print(user["name"])  # Output: "Alice"

Quality Checklist

  • Runnable: Copy-paste works without modifications
  • Complete: All imports included, no hidden dependencies
  • Minimal: No unrelated code, no ceremonial boilerplate
  • Commented: Key lines explained, not every line
  • Realistic: Uses real-world names, URLs, and patterns
  • Tested: Verified working before publishing

Tutorial Structure

## Tutorial: [Goal]

**Time**: 10 min | **Level**: Beginner

### What you'll build
[Screenshot/description]

### Prerequisites
- [requirement 1]
- [requirement 2]

### Step 1: [Action]
[Explanation]
[Code]
[Expected result]

### Step 2: [Action]
...

### Next steps
- [Related tutorial]
- [Advanced topic]

Anti-Patterns

  • Foo/bar variables — use realistic names that convey domain meaning; customerName teaches more than foo
  • Missing imports — if the reader cannot copy-paste and run, the example fails its purpose
  • Outdated syntax — examples lag behind API changes faster than any other documentation; verify against current version
  • No expected output — the reader cannot verify their result is correct without seeing what success looks like
  • Untested code — untested examples are wrong examples; always run before publishing
  • Wall of code with no explanation — code without context is a source listing, not a teaching tool
  • Showing only the happy path — real usage hits errors; show what happens when things go wrong (at least in progressive Level 3+)
  • Over-abstracted examples — wrapping the concept in 3 layers of indirection obscures the point; keep the example direct

When to Use

  • Creating API reference examples for each endpoint
  • Building quickstart guides for a library or framework
  • Writing runnable demos for a product feature
  • Designing tutorial sequences for onboarding

What ships with it: 2 files

3.2 KB alongside SKILL.md

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