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Distill Skill

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UniM0cha
distill-skill

방금 작업에서 재사용 가능한 기법을 학습 스킬(~/.claude/skills)로 증류하고, 결과 SKILL.md 를 사용자에게 보내 claude.ai '스킬 저장'까지 안내한다 (수동 트리거). "이번 작업 스킬로 남겨줘", "방금 기법 증류해줘" 등에 사용.

Overview

PublisherUniM0cha
Repositoryself-improving-skills
Skill namedistill-skill
Stars
51
Forks
9
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by UniM0cha on GitHub. Read the source before you install it.

Installation

Install the Distill Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/UniM0cha/self-improving-skills/tree/main/plugins/claude-cowork-self-improving-skills/skills/distill-skill
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/UniM0cha/self-improving-skills.git /tmp/self-improving-skills
mkdir -p .claude/skills
cp -r /tmp/self-improving-skills/plugins/claude-cowork-self-improving-skills/skills/distill-skill .claude/skills/distill-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Distill Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Distill Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Distill Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

방금 진행한 작업을 돌아보고, 재사용 가능한 기법·패턴·해결책이 있으면 학습 스킬로 증류하세요.

이것은 자기개선 루프의 수동 트리거입니다 (Stop 훅 자동 nudge와 동일한 일을 사용자가 원할 때 실행).

1단계 — skill-distiller 서브에이전트에 위임

Task(또는 Agent) 도구로 subagent_type="claude-cowork-self-improving-skills:skill-distiller" 를 호출하세요 (플러그인 네임스페이스 접두사를 포함한 정확한 이름입니다 — skill-distiller 만으로는 호출이 실패합니다). 프롬프트에 다음을 담으세요:

  • 방금 세션에서 무엇을 했고 무엇이 비자명했는지 (어떤 문제를 어떻게 풀었는지, 어떤 API/라이브러리 동작을 발견했는지)
  • 이 세션의 transcript 경로 (~/.claude/projects/<프로젝트>/<세션ID>.jsonl — 서브에이전트가 증류 근거를 직접 읽을 수 있게)
  • 사용자가 인자를 함께 전달했다면 그 안내 (예: 특정 기법에 집중, 특정 기존 스킬 갱신)

서브에이전트가: 기존 스킬이 있으면 patch, 없고 class-level 로 재사용 가능할 때만 새 스킬 생성, 일회성·환경의존적 지식이면 아무것도 만들지 않고 이유를 한 줄 보고합니다.

환경변수 SIS_DISTILLER_MODEL 이 설정되어 있으면(예: sonnet) 호출에 model="<값>" 파라미터를 포함하세요. 값이 haiku 면 무시하세요(서브에이전트 Haiku 금지 정책).

2단계 — Cowork 필수: 저장까지 안내

서브에이전트 보고에 생성/patch 된 SKILL.md 경로가 있으면:

  1. 각 SKILL.md 를 SendUserFile 로 사용자에게 보내세요 (caption 에 스킬 이름과 기법 한 줄).
  2. 사용자에게 파일 카드의 '스킬 저장' 버튼을 눌러 claude.ai 에 등록하도록 안내하세요 — 이 컨테이너의 ~/.claude/skills 는 세션이 끝나면 사라지고, 등록된 스킬만 다음 세션 컨테이너에 자동 동기화됩니다.

서브에이전트가 "만들 것 없음"으로 판단했다면 그 이유를 사용자에게 한 줄로 전달하고 끝내세요 — 그것도 정상 결과입니다.

참고: 증류는 "재사용 가능한 기법"이 있을 때만 의미가 있습니다. 단순 기능 구현·리팩토링·일회성 수정만 했다면 만들지 않는 것이 맞습니다.

Frequently asked questions

What does the Distill Skill AI skill do?

방금 작업에서 재사용 가능한 기법을 학습 스킬(~/.claude/skills)로 증류하고, 결과 SKILL.md 를 사용자에게 보내 claude.ai '스킬 저장'까지 안내한다 (수동 트리거). "이번 작업 스킬로 남겨줘", "방금 기법 증류해줘" 등에 사용.

Why use Distill Skill on TypingMind?

Because you install it once and use it with any model. Distill Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Distill Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/UniM0cha/self-improving-skills/tree/main/plugins/claude-cowork-self-improving-skills/skills/distill-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Distill Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Distill Skill?

As many as you like. As long as a model supports skills, you can use Distill Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Distill Skill AI skill free?

Yes. It is published on GitHub by UniM0cha under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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