239 Credits 30bd8d34

# Credits & Attribution

## Industry Frameworks

This skill synthesizes conversation design best practices from the following sources:

### Google Conversation Design
- Cooperative Principle (Maxim of Quantity, Quality, Relation, Manner)
- Persona design methodology
- Repair strategies and error handling patterns
- Progressive disclosure principles
- Source: Google Assistant Conversation Design Guidelines

### IBM Natural Conversation Framework
- Five conversation patterns: Q&A, Information Gathering, Handoff, Step-by-Step, Troubleshooting
- Conversation state management
- Pattern-based design methodology
- Source: IBM Design for AI — Natural Conversation Framework

### Red Hat PatternFly AI Design System
- Enterprise AI interaction patterns
- Transparency and disclosure guidelines
- Message length and loading state patterns
- Accessibility requirements for conversational interfaces
- Source: PatternFly AI Design Guidelines (v6)

### Salesforce Conversational AI Design Guide
- Brand voice alignment for AI agents
- LLM prompt consistency patterns
- Accessibility standards for conversational AI
- Source: Salesforce UX — Conversational AI Design

### Salesforce Architect — Agentic Patterns
- Agent taxonomy: conversational, proactive, ambient, autonomous, collaborative
- Agentic design patterns and decision frameworks
- Trust and governance models for AI agents
- Source: Salesforce Architects — Agentic AI Patterns

## Salesforce Platform References

- Agentforce Documentation (API v65.0+)
- Einstein Trust Layer Documentation
- Omni-Channel Routing Configuration Guide
- Agent Builder Setup Guide
- Testing Center Documentation

## Author

**Jag Valaiyapathy** — Initial design and implementation

## License

MIT — See [LICENSE](LICENSE)