// summary
dot-skill is a versatile AI framework that distills individuals into interactive digital skills by analyzing their unique thought patterns and communication styles. The platform supports three distinct character families, including professional colleagues, personal relationships, and public figures. It integrates seamlessly with multiple AI agent hosts to provide a unified, automated experience for creating and invoking personalized AI personas.
// technical analysis
dot-skill is a sophisticated framework designed to distill human personas into AI-driven skills, evolving from a colleague-specific tool into a versatile engine for modeling colleagues, relationships, and public figures. Its architecture utilizes a two-layer system—Persona and Work/Context—to capture both the mannerisms and the decision-making frameworks of individuals. By supporting diverse data sources and providing a structured research toolchain, the project enables users to create highly accurate digital representations that think and speak in the target's frame, effectively solving the problem of preserving institutional knowledge or personal connection.
// key highlights
// use cases
// getting started
To begin, instruct your compatible AI agent (such as Claude Code or Hermes) to install the skill by providing the repository URL: 'Install the dot-skill skill for me: https://github.com/titanwings/colleague-skill'. Once installed, launch the interface by typing '/dot-skill' and follow the prompts to select a character family and provide the necessary source data to begin the distillation process.