Overview
Based on the recently merged RAPPEL framework comparison documentation, we need to create practical guidance for users who want to implement Chris Penn's RAPPEL framework using DollhouseMCP elements.
Background
The RAPPEL framework (by Chris Penn) provides a structured approach to AI customization with these components:
- Roles (mapped to DollhouseMCP Skills)
- Actions (mapped to DollhouseMCP Agents)
- Personas (direct mapping to DollhouseMCP Personas)
- Patterns (mapped to DollhouseMCP Templates)
- Examples (mapped to DollhouseMCP Memories)
- Logic (mapped to DollhouseMCP Ensembles)
Objectives
-
Evaluate RAPPEL Process
- Study the RAPPEL methodology in detail
- Identify key implementation patterns
- Document best practices from the framework
-
Create Implementation Guide
- Step-by-step guide for RAPPEL → DollhouseMCP mapping
- Practical examples for each component
- Common use cases and workflows
- Migration strategies for existing RAPPEL implementations
-
Develop Templates
- RAPPEL starter templates for quick implementation
- Example persona/skill/agent combinations
- Template workflows for common RAPPEL patterns
Deliverables
Research Tasks
Success Criteria
- Users can easily implement RAPPEL methodology using DollhouseMCP
- Clear migration path from standalone RAPPEL to DollhouseMCP-powered RAPPEL
- Comprehensive examples covering major use cases
- Integration with existing DollhouseMCP documentation
Priority
Medium-High - This positions DollhouseMCP as compatible with established AI frameworks and provides clear value for users already familiar with RAPPEL.
Labels
- documentation
- framework-integration
- user-guide
- rappel
This builds on the framework comparison work and makes it actionable for end users.
Overview
Based on the recently merged RAPPEL framework comparison documentation, we need to create practical guidance for users who want to implement Chris Penn's RAPPEL framework using DollhouseMCP elements.
Background
The RAPPEL framework (by Chris Penn) provides a structured approach to AI customization with these components:
Objectives
Evaluate RAPPEL Process
Create Implementation Guide
Develop Templates
Deliverables
Research Tasks
Success Criteria
Priority
Medium-High - This positions DollhouseMCP as compatible with established AI frameworks and provides clear value for users already familiar with RAPPEL.
Labels
This builds on the framework comparison work and makes it actionable for end users.