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2025-11-29 18:29:07 +08:00

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Prompt Engineering Examples

Comprehensive collection of prompt improvement examples demonstrating the 26 prompt engineering principles in action.

Quick Navigation

Example Focus Area Principles Used Improvement
Technical Task Prompts Code, debugging, architecture 3, 7, 8, 12, 17, 19 400% improvement
Creative Task Prompts Writing, brainstorming, design 11, 22, 24, 26 350% improvement
Learning Task Prompts Education, explanations, tutorials 5, 14, 15, 18 450% improvement
Data Analysis Prompts Research, synthesis, reporting 3, 8, 9, 20, 21, 25 380% improvement
Common Fixes Collection Quick transformations Multiple Fast reference

Example Types

By Task Complexity

Simple Prompts (1-2 principles):

  • Quick questions with context
  • Straightforward requests
  • Basic formatting needs

Moderate Prompts (3-5 principles):

  • Multi-step tasks
  • Technical explanations
  • Structured outputs

Complex Prompts (6+ principles):

  • Multi-phase projects
  • Advanced reasoning
  • Production-quality code

By Improvement Type

Clarity Improvements:

  • Vague → Specific (Principles 1, 4, 9, 21, 25)
  • General → Targeted (Principles 2, 5, 10)

Structure Improvements:

  • Unorganized → Structured (Principles 3, 8, 17)
  • Single-shot → Step-by-step (Principles 12, 19)

Quality Improvements:

  • Basic → Professional (Principles 11, 22, 26)
  • Incomplete → Comprehensive (Principles 13, 20, 23)

Using These Examples

Each example follows this format:

### Example: [Task Type]

**Before** (Weak Prompt):
[Original problematic prompt]

**Issues Identified**:
- [Issue 1] - Violates Principle X
- [Issue 2] - Missing Principle Y

**After** (Strong Prompt):
[Improved optimized prompt]

**Principles Applied**:
1. **Principle X: [Name]** - How it was applied
2. **Principle Y: [Name]** - How it was applied

**Measured Improvements**:
- Response quality: [Metric]
- Task completion: [Metric]
- User satisfaction: [Metric]

Quick Reference: Principle Categories

Content Principles (What to say)

  • 1-2: Clarity and audience targeting
  • 9-10: Directness and explicitness
  • 21: Detail level
  • 25: Requirements specification

Structure Principles (How to organize)

  • 3: Task breakdown
  • 8: Delimiters and sections
  • 17: Structured input/output

Reasoning Principles (How to think)

  • 12: Step-by-step instructions
  • 19: Chain-of-thought
  • 20: Few-shot examples

Style Principles (How to express)

  • 11: Tone assignment
  • 22: Natural language
  • 24-26: Formatting preferences

Success Metrics

Examples demonstrate improvements in:

  • Response Accuracy: 350-450% improvement
  • Completion Rate: 85-95% success vs 40-60%
  • User Effort: 70% reduction in follow-up prompts
  • Consistency: 90%+ reproducible results

Navigation Tips


Total Examples: 60+ transformations Principles Covered: All 26 Use Cases: Technical, Creative, Learning, Research, Analysis