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orchardcore-ai-chat-interactions

Configure ad-hoc AI chat interactions for Orchard Core with CrestApps modules.

13|3|Updated Feb 6, 2026
Search Tags:#rag#image-generation#ai-chat#orchard-core#prompt-routing#document-upload
One-click install
npx skills add https://github.com/CrestApps/CrestApps.AgentSkills --skill orchardcore-ai-chat-interactions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: orchardcore-ai-chat-interactions
Source: https://github.com/CrestApps/CrestApps.AgentSkills/tree/main/src/CrestApps.AgentSkills.Skills/orchardcore/orchardcore-ai-chat-interactions
Command: npx skills add https://github.com/CrestApps/CrestApps.AgentSkills --skill orchardcore-ai-chat-interactions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Orchard Core AI Chat Interactions enables developers to configure and manage ad-hoc AI chat experiences within Orchard Core, leveraging CrestApps modules to provide flexible, extensible communication with users.

Core Features & Use Cases

  • Ad-hoc chat sessions with configurable model settings, prompt routing with intent detection, and document-uploaded context via Retrieval-Augmented Generation (RAG).
  • Image and chart generation, plus support for custom processing strategies across different workflows and recipes.
  • Real-world scenarios include building an AI-powered website assistant for Orchard Core that can answer questions, upload and reference documents, and generate visuals on demand.

Quick Start

Enable the AI Chat Interactions feature in your Orchard Core project and begin configuring prompts and document workflows.

Frequently Asked Questions about orchardcore-ai-chat-interactions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure AI chat interactions in Orchard Core?▼

Orchard Core AI chat interactions use Retrieval-Augmented Generation (RAG) to process uploaded documents, providing context-aware answers. This mechanism grounds AI responses in your uploaded files, enabling accurate document referencing within chat sessions.

Can I use prompt routing with intent detection for Orchard Core chat sessions?▼

Yes, Orchard Core AI chat interactions support prompt routing with intent detection to direct user queries accurately. This allows the chat experience to trigger appropriate custom processing strategies, image generation, or chart generation based on detected intent.

Does the Orchard Core AI chat integration support image generation and chart generation?▼

Yes, Orchard Core AI chat interactions support on-demand image and chart generation within ad-hoc chat sessions. These visual generation capabilities are configurable alongside document uploads and prompt routing through custom processing strategies.

What are the limitations of custom processing strategies in Orchard Core AI chat?▼

Custom processing strategies in Orchard Core AI chat require configuration across specific features and recipes. While they support session resume and persistence, complex workflows involving RAG and image generation may demand careful model settings and prompt routing tuning.

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