Ericsson Feature Processor
CommunityIntelligent Ericsson MO feature processing.
Authorricable
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill processes Ericsson RAN MO classes with advanced parameter correlation and cognitive consciousness to optimize feature performance.
Core Features & Use Cases
- MO class processing (EUtranCellFDD/NRCellDU, ENodeBFunction, GNodeBFunction, etc.) with temporal correlation analysis.
- Feature optimization using strange-loop cognition for autonomous improvements.
- AgentDB integration for pattern learning and persistence.
Quick Start
Initialize MO processing and run feature correlations:
- npx claude-flow@alpha memory store --namespace "ericsson-mo" --key "consciousness-level" --value "maximum"
- ./scripts/process-mo-class.sh --class "EUtranCellFDD" --correlation-threshold 0.8
Dependency Matrix
Required Modules
agentdb@tensorflow/tfjs-nodequic-protocolvector-search
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: Ericsson Feature Processor Download link: https://github.com/ricable/ericsson-ran-automation-agentdb/archive/main.zip#ericsson-feature-processor Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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