Fetch Tweet

Organization

PlayableIntelligence

fetch-tweet

Fetch tweet content directly from fxtwitter API. Use when given a tweet/X URL to extract the tweet text, author, media, and engagement stats without loading x.com.

Overview

Publisher	PlayableIntelligence
Repository	`game-creator`
Skill name	`fetch-tweet`
Stars	331
Forks	41
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 PlayableIntelligence 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.

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.
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/PlayableIntelligence/game-creator.git /tmp/game-creator
mkdir -p .claude/skills
cp -r /tmp/game-creator/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

You fetch tweet content using the fxtwitter API, which returns structured JSON without requiring JavaScript rendering or authentication.

Why fxtwitter

X/Twitter requires JavaScript to render tweets. WebFetch on x.com returns an empty shell. The fxtwitter API (api.fxtwitter.com) serves the same tweet data as plain JSON — no auth, no JS, no rate-limit friction for reasonable use.

URL Conversion

Given any tweet URL, convert it to the fxtwitter API endpoint:

Input URL pattern	API URL
`https://x.com/<user>/status/<id>`	`https://api.fxtwitter.com/<user>/status/<id>`
`https://twitter.com/<user>/status/<id>`	`https://api.fxtwitter.com/<user>/status/<id>`
`https://fxtwitter.com/<user>/status/<id>`	`https://api.fxtwitter.com/<user>/status/<id>`
`https://vxtwitter.com/<user>/status/<id>`	`https://api.fxtwitter.com/<user>/status/<id>`

Extract the <user> and <id> from the input URL, then construct https://api.fxtwitter.com/<user>/status/<id>.

How to Fetch

Use WebFetch with the converted API URL:


WebFetch(url: "https://api.fxtwitter.com/<user>/status/<id>", prompt: "Extract the tweet JSON. Return: author name, handle, tweet text, date, media URLs (if any), likes, retweets, replies, views.")

Response Structure

The fxtwitter API returns JSON with this structure:

json
{
  "code": 200,
  "message": "OK",
  "tweet": {
    "url": "https://x.com/user/status/123",
    "text": "The tweet content...",
    "author": {
      "name": "Display Name",
      "screen_name": "handle"
    },
    "created_at": "Thu Jan 30 12:00:00 +0000 2026",
    "likes": 1000,
    "retweets": 500,
    "replies": 200,
    "views": 50000,
    "media": {
      "photos": [...],
      "videos": [...]
    }
  }
}

Usage Pattern

When you receive a tweet URL (x.com, twitter.com, fxtwitter.com, or vxtwitter.com):

Parse the URL to extract username and tweet ID
Convert to https://api.fxtwitter.com/<user>/status/<id>
Fetch using WebFetch with the API URL
Present the tweet content in a readable format:


**Author Name** (@handle) — Date

"Tweet text here"

Engagement: X views, Y likes, Z retweets, W replies

If the tweet contains media (photos/videos), include the URLs.

Error Handling

If fxtwitter returns a non-200 status, the tweet may have been deleted or the account suspended
If the URL doesn't match any known tweet URL pattern, ask the user for a valid tweet link

Frequently asked questions

What does the Fetch Tweet AI skill do?

Fetch tweet content directly from fxtwitter API. Use when given a tweet/X URL to extract the tweet text, author, media, and engagement stats without loading x.com.

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/PlayableIntelligence/game-creator/tree/main/skills/fetch-tweet. TypingMind reads its SKILL.md 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 PlayableIntelligence 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

Fetch Tweet

Why fxtwitter

URL Conversion

How to Fetch

Response Structure

Usage Pattern

Error Handling

Frequently asked questions

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