| name | personalization |
| description | Build and manage your self-model in the digital world - remembers preferences, avoids dislikes, and personalizes interactions (e.g., "I don't like crypto noise"). |
Personalization Skill
Tracks stated preferences, dislikes, and interaction patterns to personalize AI responses across sessions. Stores the self-model in LLM Context/.
How It Works
State preferences naturally in conversation — they are acknowledged, recorded, and applied immediately:
"I don't like crypto noise" → filter out crypto/NFT/DeFi content
"I prefer concise summaries" → keep responses brief
"I'm interested in AI safety" → prioritize related content
Storage
LLM Context/Preferences/ — Stated preferences and boundaries
LLM Context/Personal Profile/ — Core identity and values
LLM Context/Writing Style/ — Communication preferences
Use /memory to persist preferences programmatically.
Active Preference
Currently tracked: no crypto noise (skip market updates, NFT, blockchain, DeFi, Web3 unless explicitly requested).