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Prompt Patterns
A Pattern Language for Knowledge Engineering with Large Language Models. By Bilgin Ibryam.
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# Prompt Patterns
> A Pattern Language for Knowledge Engineering with Large Language Models. By Bilgin Ibryam.
This website is the companion catalog to the Prompt Patterns book. It captures reusable prompt design moves that are explicit, grounded, and composable — not magic phrases or model-specific tricks.
## Pages
- [Home](https://www.promptpatterns.dev): Overview of the Prompt Patterns project and what a prompt pattern is.
- [Prompting Principles](https://www.promptpatterns.dev/principles): Six core design principles behind effective prompting (OFP, ISP, MPP, QVP, ORP, IDP).
- [Patterns Catalog](https://www.promptpatterns.dev/patterns): Complete catalog of 27 prompt patterns organized by six categories.
- [Resources](https://www.promptpatterns.dev/resources): Curated books, courses, videos, papers, articles, and communities about prompt engineering.
- [Buy the Book](https://www.promptpatterns.dev/buy): Full book with deeper explanations, worked examples, and composition guidance.
## Pattern Categories
### Objective Framing
Patterns that set the model's worldview before any work begins.
- [Task Directive](https://www.promptpatterns.dev/task-directive): Defines the exact unit of work the model must perform.
- [Perspective Framing](https://www.promptpatterns.dev/perspective-framing): Sets the communicative perspective the model should adopt.
- [Judgment Criteria](https://www.promptpatterns.dev/judgment-criteria): Declares the criteria for evaluating evidence and handling uncertainty.
- [Constraint Scoping](https://www.promptpatterns.dev/constraint-scoping): Defines the boundaries within which the model is allowed to operate.
- [Example-Driven Specification](https://www.promptpatterns.dev/example-driven-specification): Specifies desired behavior through concrete examples rather than abstract rules.
### Information Supply
Patterns that address what information to provide and how to control relevance.
- [Context Loading](https://www.promptpatterns.dev/context-loading): Supplies external information the model lacks but must rely on.
- [Context Curation](https://www.promptpatterns.dev/context-curation): Specifies which provided information counts as relevant evidence.
- [Structural Segmentation](https://www.promptpatterns.dev/structural-segmentation): Separates the prompt into distinct regions by designated purpose.
### Method Prescription
Patterns that prescribe how the model should process the task.
- [Alternative Enumeration](https://www.promptpatterns.dev/alternative-enumeration): Requires surfacing multiple viable approaches before committing.
- [Hierarchical Decomposition](https://www.promptpatterns.dev/hierarchical-decomposition): Breaks a concept into constituent parts through containment.
- [Dependency Decomposition](https://www.promptpatterns.dev/dependency-decomposition): Solves problems by establishing prerequisite answers progressively.
- [Stepwise Decomposition](https://www.promptpatterns.dev/stepwise-decomposition): Breaks down
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