Twitter

OrganizationPopular

ReScienceLab

twitter

Search and retrieve content from Twitter/X. Get user info, tweets, replies, followers, communities, spaces, and trends via twitterapi.io. Use when user mentions Twitter, X, or tweets.

Overview

Publisher	ReScienceLab
Repository	`opc-skills`
Skill name	`twitter`
Stars	1.8K
Forks	165
Bundled files	28
License	Apache-2.0
Links	Skill source Repository Homepage

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.
28 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ReScienceLab on GitHub. Read the source before you install it.

Installation

Install the Twitter 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/ReScienceLab/opc-skills.git /tmp/opc-skills
mkdir -p .claude/skills
cp -r /tmp/opc-skills/skills/twitter .claude/skills/twitter

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

Use it in TypingMind

Enable Twitter 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 Twitter 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 Twitter 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.

Twitter/X Skill

Get user profiles, tweets, replies, followers/following, communities, spaces, and trends from Twitter/X via twitterapi.io.

Prerequisites

Set API key in ~/.zshrc:

bash
export TWITTERAPI_API_KEY="your_api_key"

Quick Check:

bash
cd <skill_directory>
python3 scripts/get_user_info.py elonmusk

Commands

All commands run from the skill directory.

User Endpoints

bash
python3 scripts/get_user_info.py USERNAME
python3 scripts/get_user_about.py USERNAME
python3 scripts/batch_get_users.py USER_ID1,USER_ID2
python3 scripts/get_user_tweets.py USERNAME --limit 20
python3 scripts/get_user_mentions.py USERNAME --limit 20
python3 scripts/get_followers.py USERNAME --limit 100
python3 scripts/get_following.py USERNAME --limit 100
python3 scripts/get_verified_followers.py USERNAME --limit 20
python3 scripts/check_relationship.py USER1 USER2
python3 scripts/search_users.py "query" --limit 20

Tweet Endpoints

bash
python3 scripts/get_tweet.py TWEET_ID [TWEET_ID2...]
python3 scripts/search_tweets.py "query" --type Latest --limit 20
python3 scripts/get_tweet_replies.py TWEET_ID --limit 20
python3 scripts/get_tweet_quotes.py TWEET_ID --limit 20
python3 scripts/get_tweet_retweeters.py TWEET_ID --limit 50
python3 scripts/get_tweet_thread.py TWEET_ID
python3 scripts/get_article.py TWEET_ID

List Endpoints

bash
python3 scripts/get_list_followers.py LIST_ID --limit 20
python3 scripts/get_list_members.py LIST_ID --limit 20

Community Endpoints

bash
python3 scripts/get_community.py COMMUNITY_ID
python3 scripts/get_community_members.py COMMUNITY_ID --limit 20
python3 scripts/get_community_moderators.py COMMUNITY_ID
python3 scripts/get_community_tweets.py COMMUNITY_ID --limit 20
python3 scripts/search_community_tweets.py "query" --limit 20

Other Endpoints

bash
python3 scripts/get_space.py SPACE_ID
python3 scripts/get_trends.py --woeid 1  # Worldwide

Search Query Syntax

bash
# Basic search
python3 scripts/search_tweets.py "AI agent"

# From specific user
python3 scripts/search_tweets.py "from:elonmusk"

# Date range
python3 scripts/search_tweets.py "AI since:2024-01-01 until:2024-12-31"

# Exclude retweets
python3 scripts/search_tweets.py "AI -filter:retweets"

# With media
python3 scripts/search_tweets.py "AI filter:media"

# Minimum engagement
python3 scripts/search_tweets.py "AI min_faves:1000"

API: twitterapi.io

Base URL: https://api.twitterapi.io/twitter
Auth: X-API-Key header
Pricing: ~$0.15-0.18/1k requests
Docs: https://docs.twitterapi.io/

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 Twitter AI skill do?

Search and retrieve content from Twitter/X. Get user info, tweets, replies, followers, communities, spaces, and trends via twitterapi.io. Use when user mentions Twitter, X, or tweets.

Why use Twitter on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ReScienceLab/opc-skills/tree/main/skills/twitter. 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 Twitter?

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 Twitter?

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

Is the Twitter AI skill free?

Yes. It is published on GitHub by ReScienceLab under the Apache-2.0 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.

View all

Receiving Code Review

obra

CommunityPopular

Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

obra

CommunityPopular

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Test Driven Development

obra

CommunityPopular

Use when implementing any feature or bugfix, before writing implementation code

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Twitter/X Skill

Prerequisites

Commands

User Endpoints

Tweet Endpoints

List Endpoints

Community Endpoints

Other Endpoints

Search Query Syntax

API: twitterapi.io

Bundled files

Frequently asked questions

Related AI Skills

Set up your own AI workspace now