| 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
- Have an idea or insight about something worth sharing
- Use Creating Content Workflow
- Walk through phases: Ideation → Strategy Analysis → Hypotheses → Variations → Review
- Select and publish variations that resonate
For Algorithm Understanding
- Go to Algorithm Overview
- 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
- Apply insights to your content strategy
For Content Analysis
- Use Content Analysis Framework
- Break down successful content to understand patterns
- 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
Content Discovery & Learning Pipeline
The Analysis-to-Creation Loop:
- Find high-performing posts from your market (competitors, influencers, successful creators)
- Use Analyzing Content to extract psychological triggers, structural patterns, and persuasion mechanisms
- Analysis output is saved as a framework to
/brand/strategy/x-strategy/framework/
- Apply extracted patterns to Creating Content as informed resonance hypotheses
- 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:
- Follow current best practices (they still work)
- Prepare for customization (November launch)
- Build niche positioning (critical for discovery)
- Expect volatility (normal during transition)
- Focus on fundamentals (quality, conversation, consistency)
Resources:
Getting Started
Immediate Actions
Short-term (This Month)
Strategic (This Quarter)
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)
