Twitter Automation

Organization

101-skills

twitter-automation

Automate Twitter/X with posting, engagement, and user management via inference.sh CLI. Apps: x/post-tweet, x/post-create (with media), x/post-like, x/post-retweet, x/dm-send, x/user-follow. Capabilities: post tweets, schedule content, like posts, retweet, send DMs, follow users, get profiles. Use for: social media automation, content scheduling, engagement bots, audience growth, X API. Triggers: twitter api, x api, tweet automation, post to twitter, twitter bot, social media automation, x automation, tweet scheduler, twitter integration, post tweet, twitter post, x post, send tweet

Overview

Publisher	101-skills
Repository	`superpowers`
Skill name	`twitter-automation`
Stars	5
Forks	3
Bundled files	Instructions only
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 101-skills on GitHub. Read the source before you install it.

Installation

Install the Twitter Automation 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/101-skills/superpowers/tree/main/tools/social/twitter-automation
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/101-skills/superpowers.git /tmp/superpowers
mkdir -p .claude/skills
cp -r /tmp/superpowers/tools/social/twitter-automation .claude/skills/twitter-automation

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

Use it in TypingMind

Enable Twitter Automation 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 Automation 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 Automation 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.

Install the belt CLI skill: npx skills add belt-sh/cli

Twitter/X Automation

Automate Twitter/X via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash
belt login

# Post a tweet
belt app run x/post-tweet --input '{"text": "Hello from inference.sh!"}'

Available Apps

App	App ID	Description
Post Tweet	`x/post-tweet`	Post text tweets
Create Post	`x/post-create`	Post with media
Like Post	`x/post-like`	Like a tweet
Retweet	`x/post-retweet`	Retweet a post
Delete Post	`x/post-delete`	Delete a tweet
Get Post	`x/post-get`	Get tweet by ID
Send DM	`x/dm-send`	Send direct message
Follow User	`x/user-follow`	Follow a user
Get User	`x/user-get`	Get user profile

Examples

Post a Tweet

bash
belt app run x/post-tweet --input '{"text": "Just shipped a new feature! 🚀"}'

Post with Media

bash
belt app sample x/post-create --save input.json

# Edit input.json:
# {
#   "text": "Check out this AI-generated image!",
#   "media_url": "https://your-image-url.jpg"
# }

belt app run x/post-create --input input.json

Like a Tweet

bash
belt app run x/post-like --input '{"tweet_id": "1234567890"}'

Retweet

bash
belt app run x/post-retweet --input '{"tweet_id": "1234567890"}'

Send a DM

bash
belt app run x/dm-send --input '{
  "recipient_id": "user_id_here",
  "text": "Hey! Thanks for the follow."
}'

Follow a User

bash
belt app run x/user-follow --input '{"username": "elonmusk"}'

Get User Profile

bash
belt app run x/user-get --input '{"username": "OpenAI"}'

Get Tweet Details

bash
belt app run x/post-get --input '{"tweet_id": "1234567890"}'

Delete a Tweet

bash
belt app run x/post-delete --input '{"tweet_id": "1234567890"}'

Workflow: Generate AI Image and Post

bash
# 1. Generate image
belt app run falai/flux-dev-lora --input '{"prompt": "sunset over mountains"}' > image.json

# 2. Post to Twitter with the image URL
belt app run x/post-create --input '{
  "text": "AI-generated art of a sunset 🌅",
  "media_url": "<image-url-from-step-1>"
}'

Workflow: Generate and Post Video

bash
# 1. Generate video
belt app run google/veo-3-1-fast --input '{"prompt": "waves on a beach"}' > video.json

# 2. Post to Twitter
belt app run x/post-create --input '{
  "text": "AI-generated video 🎬",
  "media_url": "<video-url-from-step-1>"
}'

Related Skills

bash
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# Image generation (create images to post)
npx skills add inference-sh/skills@ai-image-generation

# Video generation (create videos to post)
npx skills add inference-sh/skills@ai-video-generation

# AI avatars (create presenter videos)
npx skills add inference-sh/skills@ai-avatar-video

Browse all apps: belt app list

Documentation

X.com Integration - Setting up Twitter/X integration
X.com Integration Example - Complete Twitter workflow
Apps Overview - Understanding the app ecosystem

Frequently asked questions

What does the Twitter Automation AI skill do?

Why use Twitter Automation on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/101-skills/superpowers/tree/main/tools/social/twitter-automation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Twitter Automation?

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 Automation?

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

Is the Twitter Automation AI skill free?

It is published on GitHub by 101-skills. Check the repository for licensing terms. 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

Twitter/X Automation

Quick Start

Available Apps

Examples

Post a Tweet

Post with Media

Like a Tweet

Retweet

Send a DM

Follow a User

Get User Profile

Get Tweet Details

Delete a Tweet

Workflow: Generate AI Image and Post

Workflow: Generate and Post Video

Related Skills

Documentation

Frequently asked questions

Related AI Skills

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