Prompt Patterns | HyperKit.ai

Definition

Prompt patterns are cataloged, reusable prompt structures for specific tasks. Like software design patterns, they provide proven solutions to common prompting challenges that can be adapted to different contexts.

Learning prompt patterns accelerates prompt development by providing a library of effective approaches.

Key Concepts

Pattern name: Memorable identifier for the technique
Problem: The challenge the pattern addresses
Solution: The prompt structure that solves it
When to use: Situations where the pattern applies

Examples

Persona Pattern

Role Assignment

Pattern: "Act as [ROLE] with [EXPERTISE]"

Problem: Generic responses lacking domain depth
Solution: "Act as a senior data scientist with expertise
          in machine learning and 10 years of industry experience."
Use when: Need specialized knowledge or perspective

Template Pattern

Output Structure

Pattern: "Use this format: [TEMPLATE]"

Problem: Inconsistent output structure
Solution: "Use this format:
          Summary: [one sentence]
          Key Points: [3 bullets]
          Recommendation: [one sentence]"
Use when: Need predictable, parseable output

Reflection Pattern

Self-Review

Pattern: "Generate, then critique your own response"

Problem: Unchecked errors or oversights
Solution: "Answer the question, then review your answer
          for accuracy and completeness. Note any caveats."
Use when: High-stakes responses requiring verification

Interactive Exercise

✎

Identify the Pattern

What prompt pattern is being used here?

Prompt: "Before answering, think through the problem step by step. Show your reasoning, then provide your final answer."

Pro Tips

Build a pattern library for your team/project
Combine multiple patterns for complex tasks
Document which patterns work best for your use cases
Adapt patterns to your specific domain and needs

Definition

Key Concepts

Examples

Interactive Exercise

Related Terms