x-tweet

Generates voice-matched news-reactive and evergreen tweets from context profiles and engagement history.

23|9|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/navotvolkgroundup/nabot --skill x-tweet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: x-tweet
Source: https://github.com/navotvolkgroundup/nabot/tree/main/.claude/skills/x-tweet
Command: npx skills add https://github.com/navotvolkgroundup/nabot --skill x-tweet

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the friction of producing consistent, on‑brand tweets by automatically generating daily, voice-matched content informed by your context and real engagement data so you can stay visible without manual drafting.

Core Features & Use Cases

  • Voice-driven generation: Reads voice.json and other context profiles to produce tweets that match your tone and signature phrases.
  • Engagement-informed decisions: Scrapes recent engagement and consults tweet history to avoid repetition and favor high-performing patterns.
  • News-reactive research: Runs a research step to produce at least one timely, news-reactive tweet alongside evergreen observations.
  • Humanization and safety: Sends generated drafts through a humanizer to remove AI-isms and ensure natural phrasing before presenting.
  • Use Case: A founder wants three daily tweets—one responding to today's tech news and two original pattern observations that reflect their voice and maximize shareability.

Quick Start

Write three tweets for today in my voice, include one news-reactive tweet and two original observations, and run the humanizer before presenting them.

Frequently Asked Questions about x-tweet

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate tweets that match my voice and increase audience engagement?

To produce voice-matched tweets, this Skill reads your context profiles like voice.json and analyzes tweet history to create content reflecting your tone and signature phrases while maximizing shareability.

Can I automate daily tweets that react to current news?

Yes, you can automate daily news-reactive tweets by running a research step that generates timely content responding to current events, alongside evergreen observations based on your engagement data.

Do I need context files and engagement logs to generate tweets in my voice?

Yes, you need context files like voice.json, tweet history, and engagement logs to generate voice-matched tweets, as the Skill requires these inputs to avoid repetition and favor high-performing patterns.

What's the best way to remove AI-sounding phrases from generated tweets?

The best way to remove AI-sounding phrases is to use a post-generation humanizer step, which processes generated drafts to eliminate AI-isms and ensure natural phrasing before presenting them.

How does a profile scraper help with social media content generation?

A profile scraper helps with social media content generation by gathering recent engagement data and tweet history, enabling the system to identify high-performing patterns and avoid content repetition.

Are there limitations when generating tweets without a humanizer step?

Without a humanizer step, generated tweets may contain AI-isms and unnatural phrasing, reducing audience engagement and failing to authentically match your voice and signature style.