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Provides workflows and frameworks for analysing, creating, and strategising content on the X platform. Includes human-in-the-loop content creation, algorithm intelligence, and platform mechanics guidance. Use this skill when the user mentions any tasks related to the X social media platform.

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SKILL.md

name x-execution
description Provides workflows and frameworks for analysing, creating, and strategising content on the X platform. Includes human-in-the-loop content creation, algorithm intelligence, and platform mechanics guidance. Use this skill when the user mentions any tasks related to the X social media platform.

X Execution Skill: Master Guide

This skill provides complete workflows, frameworks, and intelligence for working with the X (Twitter) platform. It combines strategic guidance with tactical execution tools.

What This Skill Includes

1. Content Creation Workflow

Creating Content: Human-in-the-Loop

A collaborative content creation process where:

  • You provide the core idea and strategic insight
  • AI analyzes strategy + audience to generate resonance hypotheses
  • AI creates 10 tweet variations, each targeting a different hypothesis
  • You review and select what to publish

Use when: You have a core idea and want AI help identifying angles that will resonate with your audience.

2. Algorithm Intelligence

Algorithm Research Section - Start here for algorithm overview

Quick Navigation:

Use when: You need to understand how X's algorithm works or optimize content for reach.

3. Analysis Framework

Analyzing Content Framework

A comprehensive framework for analyzing X content to understand:

  • Psychological triggers and persuasion mechanics
  • What makes content resonate with audiences
  • Patterns in high-performing content

Use when: You're reverse-engineering successful content or want to understand what works.

4. Copywriting & Persuasion Analysis

Content Analysis Framework - Psychological triggers, persuasion mechanics, conversion patterns

A master-level framework for analyzing high-converting copy:

  • Hook architecture and attention mechanisms
  • Narrative frameworks and emotional arcs
  • Psychological trigger identification
  • Persuasion hierarchy breakdowns
  • Objection handling systems
  • Value communication mastery

Use when: You want to understand the psychology behind what makes copy convert, or reverse-engineer successful content.

5. Reference Materials

Analysis Frameworks - Metrics frameworks, analysis models, value gap identification


The X Ecosystem (October 2025)

Current Status: Platform in major algorithmic transition

  • Now: Heuristic-based ranking system (being phased out)
  • Nov-Dec: Grok AI system launching (fully AI-powered recommendations)
  • Result: Most significant algorithm change in X history

Key Opportunities:

  • Small accounts have unprecedented visibility opportunity
  • Quality content will be rewarded independent of follower count
  • Conversational feed customization coming (users will request specific topics)
  • Links being reconsidered (quality content + links now viable)

Key Challenges:

  • Expect reach volatility during transition (expected behavior)
  • Some current tactics may change as AI takes over
  • Niche clarity becomes critical (for new customization features)
  • Algorithm details less transparent (more AI, less heuristics)

Quick Start: Using This Skill

For Content Creation

  1. Have an idea or insight about something worth sharing
  2. Use Creating Content Workflow
  3. Walk through phases: Ideation → Strategy Analysis → Hypotheses → Variations → Review
  4. Select and publish variations that resonate

For Algorithm Understanding

  1. Go to Algorithm Overview
  2. Choose what you need:
    • Engagement Optimization - How to get more visibility/engagement
    • Posting Mechanics - How the system technically works
    • Algorithm Trends - What's changing and why
    • Platform Updates - New features and policies
  3. Apply insights to your content strategy

For Content Analysis

  1. Use Content Analysis Framework
  2. Break down successful content to understand patterns
  3. Extract principles for your own content

Core Principles (Across All Frameworks)

1. Replies > Likes (By Far)

  • One meaningful reply ≈ 150 likes algorithmically
  • Design content to generate conversation, not just approval
  • Quality of engagement matters more than quantity

2. Video Dominates

  • 80% of user sessions include video
  • Highest algorithmic prioritization
  • Sweet spot: 10+ second watch time with engaging hook

3. Authenticity Wins

  • AI can detect genuine insight vs. engagement manipulation
  • Small accounts have real visibility opportunity
  • Quality content will break through (new)

4. Audience Understanding Critical

  • Know YOUR specific audience's active hours (not generic "best times")
  • Understand what drives YOUR audience's engagement
  • Build for your niche, not global trends

5. Speed Matters (First 2-3 Hours)

  • First engagement signals algorithm strength
  • Being online to respond quickly is important
  • Early momentum = wider distribution

The Three Research Domains

Domain 1: Creating Content

Workflow: Human-in-the-loop ideation → strategy analysis → hypothesis generation → variation creation → human review

Key insight: Your human insight + AI's strategic analysis = variations that resonate

Files:


Domain 2: Understanding Algorithm

Framework: How X recommends content, what gets boosted/suppressed, what's changing

Key insight: The algorithm is shifting from heuristics to AI; preparation now = advantage later

Files:


Domain 3: Analyzing Content

Framework: Psychological deconstruction of what makes content work

Key insight: Understanding patterns in successful content teaches principles for creation

Files:


Key Statistics (October 2025)

Metric Significance
Reply weight vs. like weight +75 vs. +0.5 (replies = 150x more valuable)
Video in user sessions 80% include video content
Optimal video length 30-90 seconds (10+ second watch sweet spot)
Optimal posting frequency 2-8 posts per day
Critical engagement window First 2-3 hours after posting
Small account opportunity Highest in platform history
Algorithm transition timeline Complete by December 2025

Workflow Choice Matrix

You Want To... Use This
Create a post from an idea Creating Content
Understand copywriting & persuasion Copywriting Analysis
Reverse-engineer successful content Content Analysis Framework
Analyze external posts to extract patterns Analyzing Content → Apply to Creating Content
Get engagement optimization tips Engagement Guide
Understand algorithm mechanics Posting Mechanics
Learn what's changing Trends
Know about new features Platform Updates
Find analysis reference tools Analysis Frameworks

Content Discovery & Learning Pipeline

The Analysis-to-Creation Loop:

  1. Find high-performing posts from your market (competitors, influencers, successful creators)
  2. Use Analyzing Content to extract psychological triggers, structural patterns, and persuasion mechanisms
  3. Analysis output is saved as a framework to /brand/strategy/x-strategy/framework/
  4. Apply extracted patterns to Creating Content as informed resonance hypotheses
  5. Test variations based on observed patterns, refine based on performance

Why this matters: Direct market observation → Pattern extraction → Data-informed content → Better resonance


Integration Notes

With Brand Strategy

The Creating Content workflow integrates with your brand strategy:

  • Loads /brand/strategy/ to understand positioning
  • Loads /brand/research/ to understand audience
  • Uses both to generate resonant variations

With Algorithm Intelligence

Algorithm research is paired with Creating Content:

  • Variations are designed to be algorithmically sound
  • Video and conversation generation built into variations
  • Timing optimization uses algorithm insights

With Content Analysis

Analysis framework teaches principles used in creation:

  • Understand what works (analysis)
  • Apply those principles (creation)
  • Test and iterate (measurement)

Current Context: Algorithmic Transition

Timeline:

  • Now (October 2025): Heuristic system + testing
  • November-December: Grok AI launch
  • December+: Fully AI-powered algorithm

What to do:

  1. Follow current best practices (they still work)
  2. Prepare for customization (November launch)
  3. Build niche positioning (critical for discovery)
  4. Expect volatility (normal during transition)
  5. Focus on fundamentals (quality, conversation, consistency)

Resources:


Getting Started

Immediate Actions

Short-term (This Month)

  • Use creating-content workflow for 3-5 posts
  • Track which hypotheses/variations perform best
  • Monitor algorithm updates (bi-weekly via GitHub)
  • Start clarifying niche positioning (prepare for Nov customization)

Strategic (This Quarter)

  • Build sustainable content engine using creating-content workflow
  • Monitor Grok launch and adapt tactics
  • Analyze performance data to refine hypotheses
  • Prepare for conversational feed customization

File Structure

/x-execution/
├── SKILL.md (this file)
├── /workflows/
│   ├── creating-content.md (Human-in-the-loop creation)
│   └── analysing-content.md (Content analysis framework)
├── /algorithm/
│   ├── ALGORITHM.md (Overview)
│   ├── engagement-optimization.md (Best practices)
│   ├── posting-mechanics.md (Technical details)
│   ├── algorithm-trends.md (What's changing)
│   └── x-platform-updates.md (Feature releases)
└── /references/
    └── analysis-frameworks.md (Analysis reference tools)

Status & Version

Last Updated: November 14, 2025 Skill Version: 2.0 (Major enhancement) Based on: Twitter algorithm research from October 25, 2025 Algorithm Status: Transitioning to Grok AI (Nov-Dec 2025) Next Update: Post-Grok launch (December 2025)