PromptLibrary is a curated, community-driven collection of high-quality prompt architectures, patterns, and systems for generative AI applications.
This public repository is a companion to our internal IdeaPond initiative—an incubator for ideation, tooling, and reusable knowledge frameworks around prompting. Here, we make a subset of our work available to the broader ecosystem in the spirit of open experimentation and collective learning.
PromptLibrary is built to:
- Share modular, reusable prompt structures with the public.
- Offer clean examples of prompt engineering techniques (e.g., few-shot, role, system).
- Serve as a reference base for LLM application builders and researchers.
- Document prompt usage, outputs, and design decisions transparently.
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├── README.md → You're here
├── CONTRIBUTING.md → Guidelines for contributing to the library
├── LICENSE → Open-source license (MIT)
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├── docs/ → Supplemental documentation and resources
│ └── README.md
│
└── library/ → Main prompt library
├── !template/ → A starter template for new prompts
│ ├── README.md → Example instructions and structure
│ └── system.md → Example system prompt
│
└── promptname/ → A unique folder per prompt pattern
├── README.md → Details about the prompt, usage, examples
└── system.md → The core prompt itself
Each prompt follows a clear structure: a friendly name (promptname), a system prompt (system.md), and a documentation file (README.md) explaining how to use it and what to expect.
We welcome clean, useful prompt architectures and refinements to existing ones. See CONTRIBUTING.md to get started.
Distributed under the MIT License. See LICENSE for more information.
Where language becomes leverage — welcome to the PromptLibrary.