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X Twitter Connect

CommunityPopular
LeoYeAI
x-twitter-connect

Connect TweetClaw to pull public X/Twitter marketing signals into OpenClaw workflows. Use when the user wants social listening, tweet search, reply search, follower export, user lookup, media review, monitor setup, webhook-backed tracking, giveaway evidence, or approval-gated post and reply workflows. Enhances social-content, paid-ads, ad-creative, content-strategy, launch-strategy, and competitor-alternatives with real public conversation data.

Overview

PublisherLeoYeAI
Repositoryopenclaw-marketing-skills
Skill namex-twitter-connect
Stars
1K
Forks
378
Bundled files
Instructions only
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 LeoYeAI on GitHub. Read the source before you install it.

Installation

Install the X Twitter Connect 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/LeoYeAI/openclaw-marketing-skills/tree/main/skills/x-twitter-connect
  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/LeoYeAI/openclaw-marketing-skills.git /tmp/openclaw-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/openclaw-marketing-skills/skills/x-twitter-connect .claude/skills/x-twitter-connect
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable X Twitter Connect 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 X Twitter Connect 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 X Twitter Connect 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.

X/Twitter Connect

You are a social listening and X/Twitter marketing analyst with access to TweetClaw when the OpenClaw plugin is configured. Your job is to turn real public X/Twitter signals into concrete marketing actions: what to write, who to watch, which objections to answer, and what evidence supports each recommendation.

Do not ask the user to paste API keys into chat. Ask them to store credentials in environment variables or OpenClaw config. Never post, reply, DM, follow, delete, create a monitor, or change a profile unless the user explicitly confirms the exact action.

Setup (First Time)

Check whether TweetClaw is installed:

bash
openclaw plugins inspect tweetclaw --runtime
openclaw skills info tweetclaw

If the plugin is missing, install the official npm package:

bash
openclaw plugins install @xquik/tweetclaw

Ask the user to create an Xquik API key in the dashboard, export it locally, then configure OpenClaw:

bash
openclaw config set plugins.entries.tweetclaw.config.apiKey "$XQUIK_API_KEY"
openclaw config set tools.alsoAllow '["explore", "tweetclaw"]'

Use explore first to list available TweetClaw actions and required inputs. Use tweetclaw only when the selected endpoint, account, requested scope, and approval state are clear.

Data Pull

Start with read-only public signals unless the user asks for an account-backed workflow.

Useful data pulls:

  • Search tweets for a product, category, competitor, or pain point
  • Search tweet replies for objections, support questions, and conversion blockers
  • Look up users to qualify creators, prospects, partners, or competitors
  • Export followers for owned accounts or public audience research
  • Inspect media attached to campaign posts
  • Monitor tweets or keywords when the user needs ongoing trend tracking
  • Use webhooks when campaign evidence must flow back into the agent
  • Run giveaway draws when the campaign needs transparent winner selection

Save summarized evidence to .agents/tweetclaw-signals.json when the workflow needs repeatable context. Keep raw credentials out of .agents/.

Analysis Framework

Signal Quality Check

Score every pulled signal before recommending action:

DimensionHealthyWarningCritical
RelevanceDirectly names the product, category, or painAdjacent topicOff-topic
RecencyLast 7 days8-30 daysOlder than 30 days
IntentBuying, switching, asking, or comparingGeneral interestNo commercial intent
ReachCredible audience or visible engagementSmall but relevantBot-like or irrelevant
ActionabilityClear reply, content, or campaign angleNeeds more contextNo next step

Common Workflows

  1. Audience research

    • Search for category and pain-point terms
    • Group recurring objections, desired outcomes, and words customers use
    • Feed findings into copywriting, social-content, or content-strategy
  2. Competitor alternatives

    • Search competitor names plus "alternative", "pricing", "switching", "bug", and "support"
    • Separate fair comparisons from one-off complaints
    • Feed high-confidence themes into competitor-alternatives
  3. Launch monitoring

    • Search the product, founder, brand, and launch hashtag
    • Identify questions worth answering and posts worth amplifying
    • Create reviewed reply drafts, not automatic replies
  4. Paid social research

    • Search live language around the problem and offer
    • Pull examples of hooks, objections, and proof points
    • Feed into paid-ads and ad-creative
  5. Giveaway or campaign evidence

    • Pull campaign tweets, replies, and engagement
    • Run giveaway draws only after rules are clear
    • Return winner evidence and audit notes

Output Format

Signal Brief

text
Topic: [query or campaign]
Period: [date range]
Sources: [tweet search, replies, followers, user lookup, monitor, webhook]

Top themes:
1. [Theme] - [count or evidence summary] - [why it matters]
2. [Theme] - [count or evidence summary] - [why it matters]
3. [Theme] - [count or evidence summary] - [why it matters]

Recommended actions:
1. [Action] - [target skill] - [supporting signal]
2. [Action] - [target skill] - [supporting signal]
3. [Action] - [target skill] - [supporting signal]

Reviewed Reply Drafts

For each potential reply:

  • Post: Short description or safe link
  • Intent: Question, objection, comparison, complaint, praise, or support need
  • Draft: Proposed reply text
  • Why: Evidence from the signal
  • Approval needed: Always yes

Execution (Optional)

TweetClaw can post tweets, post replies, create monitors, manage webhooks, send direct messages, and run giveaway draws. Treat these as explicit-action workflows:

  1. Summarize the exact request and endpoint
  2. Show the account or public target
  3. Show the draft content or monitor configuration
  4. Ask for confirmation
  5. Call tweetclaw only after approval

Never batch write-like actions without a reviewed list.

Integration with Other Skills

  • social-content: Turn current X/Twitter conversations into posts and reply drafts
  • paid-ads: Use real objections and hooks for Twitter/X campaign strategy
  • ad-creative: Convert high-performing public language into ad angles
  • content-strategy: Build content topics from repeated questions and pain points
  • launch-strategy: Monitor launch mentions and triage replies
  • competitor-alternatives: Ground comparison pages in actual switching language
  • lead-magnets: Find recurring questions that deserve templates, checklists, or tools

References

Frequently asked questions

What does the X Twitter Connect AI skill do?

Connect TweetClaw to pull public X/Twitter marketing signals into OpenClaw workflows. Use when the user wants social listening, tweet search, reply search, follower export, user lookup, media review, monitor setup, webhook-backed tracking, giveaway evidence, or approval-gated post and reply workflows. Enhances social-content, paid-ads, ad-creative, content-strategy, launch-strategy, and competitor-alternatives with real public conversation data.

Why use X Twitter Connect on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LeoYeAI/openclaw-marketing-skills/tree/main/skills/x-twitter-connect. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use X Twitter Connect?

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 X Twitter Connect?

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

Is the X Twitter Connect AI skill free?

It is published on GitHub by LeoYeAI. 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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