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Kakaotalk

Organization
team-attention
kakaotalk

This skill should be used when the user asks to "카톡 보내줘", "카카오톡 메시지", "KakaoTalk message", "채팅 읽어줘", "~에게 메시지 보내줘", or needs to send/read messages via KakaoTalk on macOS.

Overview

Publisherteam-attention
Repositoryplugins-for-claude-natives
Skill namekakaotalk
Stars
827
Forks
106
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 team-attention on GitHub. Read the source before you install it.

Installation

Install the Kakaotalk 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/team-attention/plugins-for-claude-natives/tree/main/plugins/kakaotalk/skills/kakaotalk
  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/team-attention/plugins-for-claude-natives.git /tmp/plugins-for-claude-natives
mkdir -p .claude/skills
cp -r /tmp/plugins-for-claude-natives/plugins/kakaotalk/skills/kakaotalk .claude/skills/kakaotalk
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kakaotalk 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 Kakaotalk 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 Kakaotalk 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.

KakaoTalk CLI

macOS에서 CLI를 통해 카카오톡 메시지를 읽고 보내는 스킬.

트리거

  • "카카오톡 메시지", "카톡 읽어줘", "~에게 메시지 보내줘"

스크립트 구조

파일용도
kakao_read.py채팅방 검색, 열기, 메시지 읽기
kakao_send.py메시지 발송

메시지 발송 워크플로우

Step 1: 채팅방 열고 대화 내역 읽기

대상 이름으로 채팅방을 열고 대화 내역을 읽습니다:

bash
uv run python .claude/skills/kakaotalk/scripts/kakao_read.py "대상이름" --json

출력 예시:

json
{
  "chat_name": "구봉",
  "messages": [
    {"sender": "나", "text": "오늘 저녁 뭐 먹을까?", "time": "오후 3:24"},
    {"sender": "구봉", "text": "파스타 어때?", "time": "오후 3:45"}
  ]
}

메시지 분석 시 주의:

  • 배열 끝부분이 최신 메시지 (최근일수록 가치 높음)
  • 1주일 이상 된 내용은 상황이 바뀌었을 수 있음
  • 최근 대화 주제와 자연스럽게 이어지는 메시지 작성

Step 2: 맥락 파악 후 메시지 작성

읽은 대화 내역을 바탕으로:

  1. 최근 대화 흐름 파악
  2. 사용자 요청에 맞는 메시지 초안 작성
  3. 자연스럽고 맥락에 맞는 내용 구성

Step 3: 사용자 확인 (필수)

먼저 텍스트로 메시지 내용을 보여준 후 AskUserQuestion으로 확인:

[텍스트 출력]
**최근 대화 요약:**
- {최근 대화 내용 요약}

**보낼 메시지:**
받는 사람: {채팅방}
---
{메시지 내용}

sent with claude code
---

[AskUserQuestion]
질문: "이 메시지를 보낼까요?"
옵션: ["보내기", "수정 필요"]

Step 4: 발송

사용자 확인 후 메시지 발송:

bash
uv run python .claude/skills/kakaotalk/scripts/kakao_send.py "채팅방이름" "메시지"

메시지 읽기 전용 워크플로우

단순히 대화 내역만 확인할 때:

bash
uv run python .claude/skills/kakaotalk/scripts/kakao_read.py "대상이름" --json

읽은 후 사용자에게 요약 제공:

  • 최근 대화 2-3개 요약
  • 현재 진행 중인 대화 주제
  • 답장이 필요한 내용이 있는지

CLI 옵션 레퍼런스

kakao_read.py

bash
# 기본: 채팅방 열고 메시지 읽기
kakao_read.py "채팅방이름" [--limit N] [--json]

# 채팅 목록
kakao_read.py --list [--json]

# 검색
kakao_read.py --search "검색어" [--json]

# 읽고 창 닫기
kakao_read.py "채팅방이름" --close

kakao_send.py

bash
# 기본 (서명 포함)
kakao_send.py "채팅방" "메시지"
# → "메시지\n\nsent with claude code"

# 서명 없이
kakao_send.py "채팅방" "메시지" --no-signature

# 보내고 창 닫기
kakao_send.py "채팅방" "메시지" --close

예시 시나리오

"구봉한테 보낼 메시지 제안"

[Step 1] 채팅방 열고 읽기
uv run python .../kakao_read.py "구봉" --json

[Step 2] 맥락 파악
최근 대화: 저녁 메뉴 논의 중

[Step 3] 메시지 제안
"파스타 좋아! 오늘 7시에 만날까?"

[Step 4] 사용자 확인 후 발송

요구사항

  1. atomacos 설치: uv add atomacos
  2. Accessibility 권한: System Settings > Privacy & Security > Accessibility에서 Terminal 허용
  3. 카카오톡 실행: macOS용 카카오톡 앱 실행 중

Frequently asked questions

What does the Kakaotalk AI skill do?

This skill should be used when the user asks to "카톡 보내줘", "카카오톡 메시지", "KakaoTalk message", "채팅 읽어줘", "~에게 메시지 보내줘", or needs to send/read messages via KakaoTalk on macOS.

Why use Kakaotalk on TypingMind?

Because you install it once and use it with any model. Kakaotalk 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 Kakaotalk in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/team-attention/plugins-for-claude-natives/tree/main/plugins/kakaotalk/skills/kakaotalk. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kakaotalk?

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 Kakaotalk?

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

Is the Kakaotalk AI skill free?

Yes. It is published on GitHub by team-attention 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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