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x-execution 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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Zipをダウンロード ダウンロード中... Conduct deep academic research for philosophy, neuroscience, cognitive science, and theoretical computer science (computability, complexity, AI theory, logic). Use when user asks to: research academic topics, find scholarly papers, conduct literature reviews, analyze citations, synthesize research findings, explore philosophical arguments, investigate consciousness/cognition, study computability/decidability/Turing machines, or analyze academic debates. Triggers on: 'research papers', 'literature review', 'academic sources', 'scholarly articles', 'philosophy of mind', 'computability theory', 'neuroscience studies', 'find papers on', 'what does the research say'.
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 insightAI analyzes strategy + audience to generate resonance hypothesesAI creates 10 tweet variations, each targeting a different hypothesisYou 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
Quick Navigation:
Use when: You need to understand how X's algorithm works or optimize content for reach.
3. Analysis 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 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
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
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)
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/engagementPosting Mechanics - How the system technically worksAlgorithm Trends - What's changing and whyPlatform Updates - New features and policies
Apply insights to your content strategy
For Content Analysis
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
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
Domain 3: Analyzing Content Framework: Psychological deconstruction of what makes content work
Key insight: Understanding patterns in successful content teaches principles for creation
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
Now (October 2025): Heuristic system + testingNovember-December: Grok AI launchDecember+: Fully AI-powered algorithm
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)
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)
