titanwings/distilly
Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill（原同事 Skill）. observed · 2026-08-28
Health v2 · maintenance only
63/100
- Activity 99
- Release rhythm 45
- Longevity 11
Flags: prerelease_only young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 156
- days_rel: 156
- days_push: 8
- n_releases_24m: 1
Adoption not part of the score
24016 stars · 2111 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Distilly is a Python tool that distills a person's experience, judgment, voice, and working style from messages, documents, interviews, and public sources into a reusable, source-grounded Person Profile packaged as an Agent Skill. These profiles can be installed and invoked by AI agents and compatible bots such as Claude Code, Codex, and other agent harnesses.
Use cases
- capture a departing colleague's decision-making playbook as an agent skill
- create an AI persona of a favorite author or public figure to ask questions
- preserve how a friend or family member communicates for a chatbot
- model my own working style so agents can assist me consistently
- turn interview transcripts into a reusable person profile for agents
- build a digital human persona from chat logs and documents
When to choose
- you want a portable, source-grounded person profile for AI agents rather than a freeform chatbot clone
- you use agent hosts that support the AgentSkills standard like Claude Code or Codex
- you need to preserve institutional knowledge from departing teammates
- you want to model personas from your own provided materials with provenance
When to avoid
- you expect an exact clone or faithful simulation of a real person's mind
- you need a hosted SaaS with no local setup
- you lack source material about the person you want to model
- you need real-time conversational memory rather than a static distilled profile
Facets
library · maturity active
agent-framework prompt-engineering llm-inference nlp chatbot artificial-intelligence large-language-models chatbots developer-tools python cli cross-platform agent-skills person-profile knowledge-distillation ai-persona claude-skills digital-human meta-skill persona-modeling ai-agents
1 source
- readme: https://github.com/titanwings/distilly · fetched 2026-08-28 · 2058e2186361
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| titanwings/distilly | main | 63 |
For agents
markdown · JSON · MCP: product_card(name="titanwings/distilly")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem