x-automation

Automates the process of identifying trends on X (Twitter), generating opinionated/engaging content, and posting it. Use when asked to post to X, run X automation, or check trends for content creation.

7 stars

Best use case

x-automation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Automates the process of identifying trends on X (Twitter), generating opinionated/engaging content, and posting it. Use when asked to post to X, run X automation, or check trends for content creation.

Teams using x-automation should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/x-post-automation/SKILL.md --create-dirs "https://raw.githubusercontent.com/Demerzels-lab/elsamultiskillagent/main/public/skills/harshhmaniya/x-post-automation/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/x-post-automation/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How x-automation Compares

Feature / Agentx-automationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Automates the process of identifying trends on X (Twitter), generating opinionated/engaging content, and posting it. Use when asked to post to X, run X automation, or check trends for content creation.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# X (Twitter) Automation Skill

This skill provides a structured workflow for generating and posting high-engagement content on X.

## Workflow

1.  **Context Gathering**:
    -   Use `browser(profile="chrome")` to visit `https://x.com/home`.
    -   Scroll for ~30 seconds to absorb the timeline's "vibe" and current discourse.
2.  **Trend Identification**:
    -   Navigate to `https://x.com/explore/`.
    -   Identify 5 distinct trending topics from the main list.
3.  **Trend Analysis (Deep Dive)**:
    -   For each trend, search: `https://x.com/search?q={trend}&src=trend_click&vertical=trends`.
    -   Read the **Top 5 tweets** per trend.
4.  **Content Generation**:
    -   Generate **3 candidate tweets**.
    -   **Constraint**: Opinions are encouraged! Be bold, witty, or opinionated to drive engagement.
    -   Include relevant hashtags but keep them minimal (1-2).
5.  **Logging & Selection**:
    -   Write candidates to `memory/x-daily-candidates.log`.
    -   Select the best one based on viral potential and alignment with the current timeline vibe.
6.  **Publication**:
    -   Navigate to `https://x.com/compose/post`.
    -   Type the selected text and click "Post".
7.  **Notification**:
    -   Notify the user via the primary channel (Telegram/Webchat) of success or failure.
    -   Include the best draft in case of failure.

## Troubleshooting

-   **Browser Relay**: Ensure a tab is connected in Chrome via the OpenClaw extension.
-   **Failure Logging**: Always log errors to `memory/x-automation-logs.md`.

## Content Style Guide

-   **Concise**: Keep it punchy.
-   **Opinionated**: Don't just report facts; give a "hot take".
-   **Engaging**: Use questions or strong statements to prompt replies.

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