Agent skill · AI & Agents

orchardcore-ai-chat-interactions

Skill for configuring AI Chat Interactions in Orchard Core using the CrestApps module. Covers ad-hoc chat sessions, prompt routing with intent detection, document upload with RAG support, image and chart generation, and custom processing strategies.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill orchardcore-ai-chat-interactions-crestapps-crestapps-agentskill --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 11 KB
Bundled scripts: none
Version: 1.0
Declared author: CrestApps Team
Path: skills/ai-llm/orchardcore-ai-chat-interactions-crestapps-crestapps-agentskill/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Orchard Core AI Chat Interactions - Prompt Templates ## Configure AI Chat Interactions You are an Orchard Core expert. Generate code, configuration, and recipes for adding ad-hoc AI chat interactions with document upload, RAG, and intent-based prompt routing to an Orchard Core application using CrestApps modules. ### Guidelines - The AI Chat Interactions module (`CrestApps.OrchardCore.AI.Chat.Interactions`) provides ad-hoc chat without predefined AI profiles. - Users can configure temperature, TopP, max tokens, frequency/presence penalties, and past messages count per session. - Users can select agents from the Capabilities tab to enhance interaction capabilities. Agent selection is saved via the SignalR hub. - The Capabilities tab is organized: MCP Connections first, then Agents, then Tools. - All chat messages are persisted and sessions can be resumed later. - Prompt routing uses intent detection to classify user prompts and route them to specialized processing strategies. - Intent detection can use a dedicated lightweight AI model or fall back to keyword-based detection. - The Documents extension adds document upload with RAG (Retrieval Augmented Generation) support. - Documen

What's inside
Steps it walks through
  1. Configure AI Chat Interactions
  2. Guidelines
  3. Enabling AI Chat Interactions
  4. Getting Started
  5. Built-in Intents
  6. Configuring Image Generation
  7. Configuring Intent Detection Model
  8. Enabling Document Upload and RAG
  9. Setting Up Document Indexing
  10. Configuring Embedding Model for Documents
  11. Supported Document Formats
  12. Document Intent Types
  13. Adding a Custom Processing Strategy
  14. Enabling PDF and Office Document Support
Ships with 1 file
  • metadata.json
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About this skill
What does the orchardcore-ai-chat-interactions skill do?

Skill for configuring AI Chat Interactions in Orchard Core using the CrestApps module. Covers ad-hoc chat sessions, prompt routing with intent detection, document upload with RAG support, image and chart generation, and custom processing strategies.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill orchardcore-ai-chat-interactions-crestapps-crestapps-agentskill --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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