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Community Research

Community
tobyilee
community-research

Mine developer/practitioner communities (Reddit, Hacker News, StackOverflow, GitHub Discussions, OKKY, velog, 네이버 카페) for real-world pain points, debates, and field-tested heuristics. Use when the user asks for "커뮤니티 의견", "실무자 목소리", "Reddit·HN 뒤져줘", "현장 경험담 모아줘", or when a book needs authentic pain-point material for chapter openings.

Overview

Publishertobyilee
Repositorybook-writer
Skill namecommunity-research
Stars
85
Forks
20
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 tobyilee on GitHub. Read the source before you install it.

Installation

Install the Community Research 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/tobyilee/book-writer/tree/main/.claude/skills/community-research
  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/tobyilee/book-writer.git /tmp/book-writer
mkdir -p .claude/skills
cp -r /tmp/book-writer/.claude/skills/community-research .claude/skills/community-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Community Research 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 Community Research 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 Community Research 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.

Community Research

커뮤니티에서 실무자의 날것 목소리를 모은다. 논문이 이론, 웹이 정리된 지식이라면 커뮤니티는 현장의 고통과 논쟁의 원천이다. 이 자료가 곧 책의 "공감 포인트"가 된다.

절차

  1. 커뮤니티 선택 — 주제·대상 독자에 맞춰 플랫폼 조합 (tech-book 기준, 다른 장르는 community-researcher 에이전트의 장르별 소스 표 참조):
    • 글로벌: Reddit(주제별 서브레딧), Hacker News, Lobsters, Stack Overflow, GitHub(Discussions·Issues·PR 토론), Dev.to, 공개 Discord/Slack 로그, X(개발자 스레드), Mastodon
    • 한국: OKKY, velog, GeekNews(긱뉴스) 댓글, 커리어리, 한국 개발자 디스코드/슬랙, 네이버 개발 카페, 지디넷
    • 버전·릴리스 민감 주제: GitHub Issues/PR과 릴리스 토론을 비중 있게 — 최신 변경의 실무 반응이 여기 먼저 뜬다 (신선도 메타 기록, fact-checker 대조용)
  2. 검색 실행 — WebSearch·WebFetch로 토론 페이지 수집
  3. 패턴 추출
    • 반복되는 고통/질문 — 3명 이상이 비슷한 고민을 토로한 패턴
    • 실무 휴리스틱 — 답변 다수 추천 또는 "10년간 써봤는데~" 식 경험담
    • 논쟁점 — 댓글 논쟁이 길게 이어진 주제, 양쪽 관점 보존
  4. 검증 라벨링 — 모든 커뮤니티 주장은 "커뮤니티 의견, 검증 필요"로 표시
  5. 저장 — {slug}/research/community.md

수집 가이드

  • 목표 건수: 10~20개 토론·게시글
  • 원문 링크 필수: 추후 인용 시 검증 가능해야 함
  • 날것 인용: 깔끔한 정리보다 "이 부분에서 정말 미칠 것 같다" 같은 감정 섞인 문장을 그대로 보존
  • 익명 주장 주의: 저자 프로필이 없으면 비판적으로 취급

출력 형식

markdown
# 커뮤니티 리서치: {주제}

## 반복되는 고통·질문 (챕터 오프닝 소재)
### 패턴 1: {한 줄 요약}
- 출현 예시:
  - Reddit: {URL} — "...인용..."
  - OKKY: {URL} — "...인용..."
- 추정 원인 (커뮤니티가 공유하는 진단):

## 실무 휴리스틱
### 휴리스틱 1: {요약}
- 출처: {URL}
- 원문:
  > "..."
- 추천·동조 반응:

## 논쟁점
### 논쟁 A: {주제}
- 관점 1: {요약}
  - 대표 발언:
- 관점 2: {요약}
  - 대표 발언:

## 수집 한계
- 미접근 플랫폼: ...
- 언어 편중: ...

실패 대응

  • 특정 플랫폼 접근 실패 → 대체 플랫폼 보충
  • 주제가 너무 특수해 토론 적음 → 수량 집착 말고 질적 발췌에 집중, 한계 명시
  • 검증되지 않은 주장만 풍성 → "검증 필요" 라벨을 붙이고 웹·논문 자료로 교차 확인 권고

Frequently asked questions

What does the Community Research AI skill do?

Mine developer/practitioner communities (Reddit, Hacker News, StackOverflow, GitHub Discussions, OKKY, velog, 네이버 카페) for real-world pain points, debates, and field-tested heuristics. Use when the user asks for "커뮤니티 의견", "실무자 목소리", "Reddit·HN 뒤져줘", "현장 경험담 모아줘", or when a book needs authentic pain-point material for chapter openings.

Why use Community Research on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tobyilee/book-writer/tree/main/.claude/skills/community-research. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Community Research?

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 Community Research?

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

Is the Community Research AI skill free?

Yes. It is published on GitHub by tobyilee 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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