Neural Train
Skill Verified ActiveTrain SONA + MicroLoRA neural patterns from successful task completions; runs the DISTILL + CONSOLIDATE phases of the 4-step pipeline
To enable AI agents to learn from successful task completions by training and consolidating neural patterns, thereby improving future performance and adapting to new domains.
Features
- Trains SONA and MicroLoRA neural patterns
- Runs DISTILL and CONSOLIDATE phases of an AI pipeline
- Supports dynamic adaptation for single and multi-domain scenarios
- Consolidates learned patterns into long-term storage
- Provides CLI alternatives for core functionalities
Use Cases
- Capture learned behaviors after successful task completions
- Consolidate patterns into long-term storage after accumulating sufficient task completions
- Train new MicroLoRA adapters for distinct AI domains
- Adapt existing neural patterns in real-time for micro-learning
Non-Goals
- Performing the initial data collection or labeling phases of the AI pipeline
- Directly executing user-facing applications or generating end-user content
- Managing the underlying LLM infrastructure itself, beyond pattern training
Scope
- info:Tool surface sizeThe SKILL.md lists 26 `allowed-tools`, which is above the target of 10, but many are internal hooks or variations of core functions, not distinct user-facing commands.
Installation
First, add the marketplace
/plugin marketplace add ruvnet/ruflo/plugin install ruflo-intelligence@rufloQuality Score
VerifiedTrust Signals
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