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ex-skill is an experimental AI tooling project that allows users to transform personal memories, particularly past relationships, into interactive AI “skills” that replicate the communication style, personality, and behavioral patterns of a specific individual. The system works by ingesting various forms of personal data such as chat logs, social media content, photos, and user-provided descriptions, then structuring this information into a layered representation that combines memory and persona modeling. It is designed to run within Claude Code environments, where users can generate, manage, and interact with these personalized AI entities through command-based interfaces. The project emphasizes emotional realism by reconstructing conversational tone, habits, and contextual memories, enabling interactions that feel consistent with the original person.
Features
- Transforms personal data into interactive AI personas
- Supports multiple input sources including chats and images
- Dual-layer architecture for memory and personality modeling
- Command-based interaction within Claude Code
- Iterative refinement through user corrections
- Version control and rollback for generated skills
Project Samples
