Fetch Tweet logo

Fetch Tweet

Organization
team-attention
fetch-tweet

This skill should be used when the user asks to "트윗 가져와", "트윗 번역", "X 게시글 읽어줘", "tweet fetch", "트윗 내용", "트윗 원문", or provides an X/Twitter URL (x.com, twitter.com) and wants to read, translate, or analyze the tweet content. Also useful when other skills need to fetch tweet text programmatically.

Overview

Publisherteam-attention
Repositoryplugins-for-claude-natives
Skill namefetch-tweet
Stars
827
Forks
106
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by team-attention on GitHub. Read the source before you install it.

Installation

Install the Fetch Tweet 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/fetch-tweet/skills/fetch-tweet
  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/fetch-tweet/skills/fetch-tweet .claude/skills/fetch-tweet
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fetch Tweet 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 Fetch Tweet 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 Fetch Tweet 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.

Fetch Tweet

X/Twitter URL에서 트윗 원문, 작성자 정보, 인게이지먼트 데이터를 가져오는 스킬. FxEmbed 오픈소스 프로젝트의 API (api.fxtwitter.com)를 활용하여 JavaScript 없이 트윗 데이터를 추출한다.

How It Works

X/Twitter URL의 도메인을 api.fxtwitter.com으로 변환하면 JSON으로 트윗 전체 데이터를 반환한다.

https://x.com/user/status/123456
  → https://api.fxtwitter.com/user/status/123456

Script

scripts/fetch_tweet.py - 표준 라이브러리만 사용, 외부 의존성 없음.

bash
# 기본 사용 (포맷팅된 출력)
python scripts/fetch_tweet.py https://x.com/garrytan/status/2020072098635665909

# JSON 출력 (프로그래밍 활용)
python scripts/fetch_tweet.py https://x.com/garrytan/status/2020072098635665909 --json

지원 URL 형식: x.com, twitter.com, fxtwitter.com, fixupx.com

API Response Fields

필드설명
tweet.text트윗 본문 (URL 확장됨)
tweet.author작성자 (name, screen_name, bio, followers)
tweet.likes/retweets/replies/bookmarks/views인게이지먼트
tweet.created_at작성 일시
tweet.media첨부 미디어 (photos, videos)
tweet.quote인용 트윗 (동일 구조)
tweet.lang언어 코드

Workflow

단일 트윗 가져오기

  1. URL에서 screen_name과 status_id를 추출
  2. scripts/fetch_tweet.py <url> 실행
  3. 결과를 사용자에게 표시하거나 번역

번역 요청 시

  1. 스크립트로 원문 fetch
  2. 가져온 텍스트를 한국어로 번역하여 제공
  3. 인게이지먼트 수치도 함께 표시

다른 스킬과 연동

Contents Hub 등에서 수집한 X URL 목록을 일괄 처리할 때:

bash
# JSON 출력으로 파이프라인 연동
python scripts/fetch_tweet.py <url> --json | python3 -c "import sys,json; print(json.load(sys.stdin)['tweet']['text'])"

WebFetch Fallback

스크립트 실행이 어려운 경우 WebFetch 도구로 직접 API 호출 가능:

URL: https://api.fxtwitter.com/{screen_name}/status/{status_id}
Prompt: "Extract the full tweet text and author name"

Limitations

  • 비공개 계정 트윗은 조회 불가
  • 삭제된 트윗은 조회 불가
  • API rate limit은 FxEmbed 서버 정책에 따름 (일반 사용 수준에서는 문제 없음)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Fetch Tweet AI skill do?

This skill should be used when the user asks to "트윗 가져와", "트윗 번역", "X 게시글 읽어줘", "tweet fetch", "트윗 내용", "트윗 원문", or provides an X/Twitter URL (x.com, twitter.com) and wants to read, translate, or analyze the tweet content. Also useful when other skills need to fetch tweet text programmatically.

Why use Fetch Tweet on TypingMind?

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

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

Which AI models can use Fetch Tweet?

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 Fetch Tweet?

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

Is the Fetch Tweet 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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