DBDelve
Dive deep into your data. A fast, native, multi-engine database client written in Rust. Free and open source, no telemetry.
翻訳待ち
Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill(原同事 Skill).
翻訳待ち
開発ツールPython · JavaScriptGitHub @titanwings自分でインストール所有者未確認
Paste into Claude or ChatGPT for installation instructions suited to your environment.
Have you tried it? One tap is enough. No sign-in needed.
The maker's introduction consists of the line above. Read the repository README for more details. Repository README ↗
Loading the full README.
Read the full README ↗Formerly: Colleague Skill / colleague-skill.
Messages · documents · interviews · public sources → Distilly → Person Profile → Agent / Bot
🧑💼 Your colleague quit, your mentor graduated, your teammate transferred — taking their whole playbook and context with them? 💞 Your family, old friends, partner drifting apart — and you want to hold on to the way it felt to be with them? 🌟 Your favorite author, idol, thinker you'll never meet — but you want to know what they'd say about your question?
Distilly is the person-modeling layer for agents. It turns the materials you provide into a portable, source-grounded Person Profile built from observable experience, decision patterns, expression, and ways of working; it does not claim to clone the person behind them.
Colleagues · partners · family · old friends · idols · public figures · fictional characters — even yourself
Source material + your description → a source-grounded Person Profile → your Agent or compatible Bot
A Person Profile is the reusable output. The current release packages each profile as an Agent Skill so supported hosts can install and invoke it. The canonical creator Skill is named
distilly; install it in adistillydirectory. The former name above remains for search continuity and project history.
🆕 What Distilly does · 📦 Data Sources · ⚡ Install · 🚀 Usage · ✨ Demo · 📝 Citation · 💬 Discord
Chinese · Spanish · German · Japanese · Russian · Portuguese · Korean
Massive thanks to everyone who starred — we'll keep shipping, keep distilling.
🧬 2026.08.24 Update — The creator is now named Distilly end to end and documents native local Skill discovery for Claude Code, Hermes, OpenClaw, Codex, DeepSeek Harness, Pi, Grok Build, and OpenCode. Grok Bot is listed separately as a saved-Skill workflow preview.
📝 2026.06.01 Update — The COLLEAGUE.SKILL technical report is now available. The most rewarding part was not simply publishing a paper, but seeing the community grow the gallery to 215 skills contributed by 165 people, with more than 100,000 stars across the skill cards. The paper's Acknowledgements explicitly recognize every community contributor.
🗺️ 2026.04.13 — The Distilly Roadmap is live! What began as Colleague Skill is growing beyond colleagues: distill people into Skills that Agents can reuse. 👉 Full Roadmap · 💬 Discord
🌐 2026.04.07 — Community gallery is live! Any skill / meta-skill can drive traffic directly to your own GitHub repo. No middleman. 👉 titanwings.github.io/colleague-skill-site
Created by @titanwings
The project is no longer limited to the colleague scenario. Its distilly creator builds source-grounded Person Profiles for three person families with one workflow, then packages each profile as an Agent Skill.
Each family has its own source-collection strategy, analysis dimensions, and Person Profile structure.
The old version only ran in Claude Code. Distilly now supports native local Skill discovery across eight agent hosts.
Grok Bot preview: Grok Bot supports saved/private Skills, but its official docs do not describe direct local SKILL.md imports. Distilly's workflow can be migrated manually into a saved Skill; direct repo installation is not yet verified.
Each generated Person Profile is packaged as an Agent Skill and can be installed into any supported host.
Distilly also targets the personal agents people now live with. Each one keeps its own memory and connected accounts, so a Person Profile is meant to carry over into them instead of starting from zero.
This is the beginning of the README. Read the rest at the original. Read the full README ↗