Web Research

Community

tobyilee

web-research

Search the general web (blogs, articles, official docs, tutorials) for topic-relevant content and compile findings with full citations. Use when the user asks to "웹 리서치", "블로그 자료 모아줘", "공식 문서 뒤져줘", "search the web for", "find articles on", or when gathering secondary material outside academic/community sources.

Overview

Publisher	tobyilee
Repository	`book-writer`
Skill name	`web-research`
Stars	85
Forks	20
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

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 Web Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/tobyilee/book-writer/tree/main/.claude/skills/web-research
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.

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/web-research .claude/skills/web-research

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Web 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 Web 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 Web 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.

Web Research

주제 관련 일반 웹 자료(블로그, 기사, 공식 문서, 튜토리얼)를 수집한다. 논문과 커뮤니티는 별도 에이전트가 맡으므로 중복 수집하지 않는다.

절차

검색 키워드 설계 — 주제에서 3~5개 키워드 조합 생성 (한국어 + 영어)
검색 실행 — WebSearch로 후보 링크를 모으고 WebFetch로 본문을 가져온다 (환경에 전문 추출 도구가 있으면 써도 된다)
소스 평가 — 신뢰성 등급 매기기
- 최상: 공식 문서·릴리스 노트·체인지로그, RFC/스펙, GitHub 릴리스, 기술 저널, 회사 엔지니어링 블로그(우아한형제들·카카오·토스·네이버 D2·LINE·Netflix·Cloudflare 등), 확인된 저자 블로그
- 중: 커뮤니티 블로그, 포털 기술 아티클, 컨퍼런스 발표 트랜스크립트, 기술 뉴스레터(긱뉴스 등)
- 하: 출처 불명 나열형 아티클, 날짜 없는 글 (가능하면 제외)
- 버전·API·수치는 공식 1차 소스(릴리스 노트·공식 문서) 우선 — fact-checker 대조 기준이 된다
추출 — 각 자료에서 핵심 주장, 인용 가능한 구절, 수치 발췌
저장 — {slug}/research/web.md

수집 가이드

목표 건수: 8~15건 (주제 폭에 따라 조정)
다양성: 한 사이트 최대 2건, 한 저자 최대 2건
최신성: 최근 3년 내 자료 비중을 높이되, 고전 레퍼런스도 1~2건 포함
언어 비율: 대상 독자가 한국이면 한국어 60~70%, 글로벌이면 영어 70%+
인용 원문 보존: 요약하지 말고 구절을 그대로 가져와 따옴표 처리

출력 형식

markdown
# 웹 리서치: {주제}

## 자료 1: {제목}
- 출처: {URL}
- 저자·날짜: {...}
- 신뢰성: {최상/중/하}
- 핵심 주장: {2~3문장}
- 인용 가능한 구절:
  > "..."
- 관련 섹션: (레퍼런스 문서 어느 섹션에 쓸지 힌트)

## 자료 2: ...

## 수집 한계
- 접근 실패한 자료: ...
- 의도적으로 제외한 소스 유형: ...

실패 대응

검색 결과 빈약 → 키워드 변형 (동의어, 영문 번역, 약어 ↔ 풀네임) 후 재시도
특정 페이지 접근 실패 → 해당 자료 제외, 로그에 기록
WebSearch·WebFetch 모두 실패 → 캐시된 아카이브(archive.org) 활용 시도

Frequently asked questions

What does the Web Research AI skill do?

Why use Web Research on TypingMind?

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

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

Which AI models can use Web 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 Web Research?

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

Is the Web 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Web Research

절차

수집 가이드

출력 형식

실패 대응

Frequently asked questions

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