This repository contains a curated collection of prompts developed specifically for OpenWebUI. These prompts are designed to be quickly accessible through the forward slash key (/) and seamlessly integrated into ongoing conversations, rather than serving as initial conversation starters.
The prompts in this collection serve various purposes:
- Conversation Steering: Prompts designed to redirect conversations that have gone off track
- Output Formatting: Instructions for specifying desired output formats
- Context Handovers: Prompts for generating summaries and transferring context to subsequent agents
context-moves/- Prompts for managing and summarizing conversation contextquick-context-setting/- Rapid context establishment promptssummary-generators/- Tools for generating conversation summaries
document-generation/- Templates for various document typesoutput-format-directions/- Instructions for specific output formatsstylistic-instructions/- Prompts for controlling output style and tone
steers/- Prompts for redirecting off-track conversationsrewrite-instructions/- Tools for rephrasing and clarifying contenthandovers/- Prompts for transitioning between different AI agents
personal-details/- Templates for personal informationtool-triggers/- Prompts for activating specific tools or functionsresearch/- Research-oriented prompt templatesprompt-engineering/- Meta-prompts for evaluating and improving prompt effectiveness
just-weird-ideas/- Experimental and unconventional promptstrolling-ai-tools/- Playful prompts for testing AI boundaries
These prompts are designed to be used with OpenWebUI's quick-access feature:
- During any conversation, press the forward slash key (/)
- Browse or search for the relevant prompt
- Select and inject the prompt into your conversation
The prompts are intentionally modular and can be combined or modified as needed for your specific use case.
The prompts in this collection follow these principles:
- Quick Integration: Easy to inject into ongoing conversations
- Contextual Awareness: Designed to work with existing conversation context
- Purpose-Driven: Each prompt serves a specific, well-defined purpose
- Flexibility: Can be adapted or combined for various scenarios
Daniel Rosehill
(public at danielrosehill dot com)
This repository is licensed under CC-BY-4.0 (Attribution 4.0 International) License
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