# Distilly

A tool that distills a person's experience, judgment, voice and working style, from messages, documents and interviews, into a reusable profile packaged as an Agent Skill for AI agents and bots.

Distilly, formerly named Colleague Skill, is a person-modeling layer for AI agents. It turns source material such as messages, documents, interviews and public sources, together with a description from the user, into a portable, source-grounded Person Profile built from observable experience, decision patterns, expression and ways of working. The project states that a profile does not claim to clone the person behind it.

It is meant to capture the working style of a colleague, mentor or teammate, or the voice of a family member, friend, public figure or fictional character, so an agent can draw on that grounded profile. The current release packages each profile as an Agent Skill, so any host that supports Agent Skills can install and invoke it; the canonical skill is named distilly.

It is written in Python and supports local skill discovery for hosts such as Claude Code, Hermes, OpenClaw, Codex, DeepSeek Harness, Pi, Grok Build and OpenCode.

Website: https://github.com/titanwings/distilly
