IRUJONEU

Claude Code Self Distill — Development skill for Claude Code

Development community

A meta-tool that discovers and distills personalized Claude Code skills from your own conversation history.

How to install Claude Code Self Distill

This entry records only its repository, not the path inside it, so there is no exact command to give. Open IRUJONEU/claude-code-self-distill and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Claude Code Self Distill does

A meta-tool that discovers and distills personalized Claude Code skills from your own conversation history.

Alternatives in Development

Evo — turns your codebase into an autoresearch loop — discovers what to measure, instruments the benchmark, then run 1.4k ★
Claude Ally Health — A comprehensive health assistant for Claude to analyze medical reports, track health metrics, and provide pers 788 ★
Claude Historian — An MCP server for Claude Code conversation history 217 ★

README

**Language:** **English** | [简体中文](README.zh-CN.md)

self-distill

[![License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) ![Python](https://img.shields.io/badge/python-3.10%2B-3776AB?logo=python&logoColor=white)

Your conversation habits with AI are uniquely yours. Other people's skill templates never quite fit, but you don't know where to start writing your own. Self-distill helps you find answers from conversations, but you take the lead.

A meta-tool that discovers, distills, and generates personalized skills from your own conversation history.

The routine is simple: run `/self-distill record` at the end of a useful conversation (If the experience is not satisfactory, add `--negative`.), then periodically run `/self-distill extract` in a fresh session. That's it — a **user-driven** closed loop that stays out of your way.

Why this tool exists

This tool started as a solution to my own problem.

After using Claude Code for a while, I noticed I kept doing the same things: re-explaining the same constraints, correcting the same directions, adding the same context. All of this could have been captured in a skill once and for all — but the problem was, I didn't know what to write.

I tried organizing things manually, but it was too subjective. I'd include things I *thought* were useful while missing the patterns that actually recurred.

There are similar tools out there: Hermes skill-factory can fully automatically analyze and generate skills; Claude Code's built-in `/insights` generates an HTML report with friction points and behavioral metrics. But both share the same problem — **no filtering mechanism**. Every conversation enters analysis indiscriminately, and noise from low-quality sessions dilutes the real signal, leading to skills that miss the mark.

So self-distill's core principle is: **semi-automatic, with you in control.**

You decide which sessions are worth archiving. The AI finds the patterns in those archives.