Turn completed tasks into learned patterns.
What it does
Trains reusable neural patterns from completed tasks and consolidates them into long-term storage.
When to use it
Use after a successful task, after accumulating at least ten task completions, or when training a new domain.
How to use it
Give it a task-learning or consolidation request; it trains patterns and folds them into long-term storage.
Uses
RU
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What you need · 1
The standard workflow calls the ruflo MCP tools to inspect neural state, record trajectories, learn, and train patterns.
Access · 2
This skill
ruflo
Write
Stores task histories and patterns
npx @claude-flow/cli@latest
Execute
The latest claude-flow CLI