Capture user preferences and session patterns into domain-specific learning files.
npx skills add https://github.com/agentflock/myna --skill learn-agentflock
Please help me install this Agent Skill. Skill: learn Source: https://github.com/agentflock/myna/tree/main/skills/learn Command: npx skills add https://github.com/agentflock/myna --skill learn-agentflock
Managing emergent memory in long-running AI assistants requires capturing user preferences and observed patterns, while avoiding noise and entity-specific data.
Tell Myna to remember that you prefer concise meeting summaries.
High-intent search queries and answers about installing and using this skill.
To save user preferences, this Skill captures conversation patterns and routes them as learnings into domain-specific files under _meta/learnings/, ensuring your AI retains behavioral rules across sessions. It organizes captured preferences into domains like general, email, meetings, and people.
Managing emergent memory effectively involves capturing user preferences and observed patterns while filtering out noise. This Skill organizes patterns into Active and Proposed entries, using a negotiation flow to promote only validated rules, preventing unverified data from cluttering long-term memory.
To promote a proposed learning to an active rule, the Skill uses a built-in negotiation flow that evaluates Proposed entries before moving them to Active status. This ensures only verified patterns shape your AI's behavior in specific domains like email or meetings.
Yes, you can reflect on and forget learned patterns. The Skill supports periodic reflection to surface user patterns for refinement, and includes a forget function to remove outdated or incorrect learnings from the domain-specific memory files.
Yes, a vault is required to store captured learnings and preferences. The Skill requires vault-backed writes to save and organize session patterns into the _meta/learnings/ directory structure across various domains.
davidrrowleyCapture and persist project-specific conventions and patterns across coding sessions.
L-LesterYuStore user corrections and preferences in a layered memory system.
jaydubya818Analyze meeting transcripts to identify behavioral patterns and communication insights.
NnnsightnnnCapture and classify pain points from conversations with priority and context.
