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Twitter Send Skill

Community
zeenie-ai
twitter-send-skill

Post tweets, reply to tweets, retweet, like/unlike, and delete tweets on Twitter/X. Supports threading, 280-char tweets, and automatic token refresh.

Overview

Publisherzeenie-ai
RepositoryOpenCompany
Skill nametwitter-send-skill
Stars
912
Forks
137
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by zeenie-ai on GitHub. Read the source before you install it.

Installation

Install the Twitter Send Skill 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.
  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/zeenie-ai/OpenCompany.git /tmp/OpenCompany
mkdir -p .claude/skills
cp -r /tmp/OpenCompany/server/skills/social_agent/twitter-send-skill .claude/skills/twitter-send-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Twitter Send Skill 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 Send Skill 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 Send Skill 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 Send Tool

Post and interact with tweets on Twitter/X via X API v2.

How It Works

This skill provides instructions for the Twitter Send tool node. Connect the Twitter Send node to an AI Agent's input-tools handle to enable posting and interactions.

All actions use OAuth 2.0 user context with automatic token refresh on expiry (tokens last 2 hours).

twitter_send Tool

Send tweets, replies, retweets, likes, and deletions.

Schema Fields

FieldTypeRequiredDescription
actionstringYesAction type: tweet, reply, retweet, like, unlike, delete
textstringIf tweet/replyTweet text content (max 280 characters)
tweet_idstringIf retweet/like/unlike/deleteTarget tweet ID
reply_to_idstringIf replyTweet ID to reply to

Actions

ActionRequired FieldsDescriptionRate Limit Notes
tweettextPost a new tweet200 tweets/15min (app), 300/3hr (user)
replytext, reply_to_idReply to an existing tweetSame as tweet limits
retweettweet_idRetweet an existing tweet5 retweets/15min (free tier)
liketweet_idLike a tweet200 likes/24hr (free tier)
unliketweet_idRemove like from a tweet50 unlikes/15min
deletetweet_idDelete your own tweet50 deletes/15min

Examples

Post a tweet:

json
{
  "action": "tweet",
  "text": "Hello Twitter! This is my first automated tweet."
}

Reply to a tweet:

json
{
  "action": "reply",
  "text": "Thanks for sharing this!",
  "reply_to_id": "1234567890123456789"
}

Create a thread (chain of replies): First post:

json
{
  "action": "tweet",
  "text": "Thread: Here are 3 tips for better code (1/3)"
}

Then reply to the returned tweet ID for each subsequent post:

json
{
  "action": "reply",
  "text": "Tip 1: Write tests first (2/3)",
  "reply_to_id": "<id_from_first_tweet>"
}

Retweet:

json
{
  "action": "retweet",
  "tweet_id": "1234567890123456789"
}

Like a tweet:

json
{
  "action": "like",
  "tweet_id": "1234567890123456789"
}

Unlike a tweet:

json
{
  "action": "unlike",
  "tweet_id": "1234567890123456789"
}

Delete a tweet:

json
{
  "action": "delete",
  "tweet_id": "1234567890123456789"
}

Response Format

Tweet/Reply:

json
{
  "success": true,
  "result": {
    "id": "1234567890123456789",
    "text": "Hello Twitter!"
  },
  "execution_time": 0.45
}

Retweet:

json
{
  "success": true,
  "result": {
    "retweeted": true
  },
  "execution_time": 0.3
}

Like:

json
{
  "success": true,
  "result": {
    "liked": true
  },
  "execution_time": 0.25
}

Delete:

json
{
  "success": true,
  "result": {
    "deleted": true
  },
  "execution_time": 0.3
}

Error Response

json
{
  "success": false,
  "error": "Tweet text is required",
  "execution_time": 0.01
}

Guidelines

  1. Character limit: Tweets are limited to 280 characters. The API will reject longer text.
  2. Tweet IDs: Use the numeric ID string (e.g., 1234567890123456789). Get these from search results or user timelines.
  3. Rate limits: X API has strict rate limits (see table above). Space out rapid actions.
  4. Content policy: Follow X's content policies and terms of service.
  5. Threading: Use reply action with reply_to_id set to the previous tweet's ID to create threads.
  6. Token refresh: If a 401/403 error occurs, the system automatically refreshes the OAuth token and retries.
  7. Retweet vs Quote: This tool only supports native retweets. For quote tweets, use tweet action and include the tweet URL in the text.

Common Use Cases

  • Post automated updates and announcements
  • Reply to mentions or specific tweets
  • Like tweets matching certain criteria (found via twitter_search)
  • Create tweet threads by chaining replies using returned IDs
  • Engage with followers programmatically
  • Delete tweets that match certain conditions

Setup Requirements

  1. Connect the Twitter Send node to an AI Agent's input-tools handle
  2. Ensure Twitter is connected (authenticated via OAuth in Credentials Modal)
  3. Your X Developer account must have appropriate API access level
  4. Required OAuth scopes: tweet.read, tweet.write, like.read, like.write, users.read, offline.access

Frequently asked questions

What does the Twitter Send Skill AI skill do?

Post tweets, reply to tweets, retweet, like/unlike, and delete tweets on Twitter/X. Supports threading, 280-char tweets, and automatic token refresh.

Why use Twitter Send Skill on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/social_agent/twitter-send-skill. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Twitter Send Skill?

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 Send Skill?

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

Is the Twitter Send Skill AI skill free?

Yes. It is published on GitHub by zeenie-ai 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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