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x-mastery-mentor

Guides X/Twitter content writing, growth strategy, and account diagnostics using creator methodologies and algorithm data.

50|3|Updated Jun 30, 2026
Search Tags:#content strategy#social media#twitter#thread writing#x algorithm#follower growth#account diagnostics
One-click install
npx skills add https://github.com/Dubaoxu/distillation-skills --skill x-mastery-mentor-dubaoxu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: x-mastery-mentor
Source: https://github.com/Dubaoxu/distillation-skills/tree/main/nuwa-skill/examples/x-mastery-mentor
Command: npx skills add https://github.com/Dubaoxu/distillation-skills --skill x-mastery-mentor-dubaoxu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Growing an X/Twitter account requires understanding opaque algorithm mechanics, hook writing, thread structure, and stage-specific growth tactics. This Skill distills methodologies from six top creators (Nicolas Cole, Dickie Bush, Sahil Bloom, Justin Welsh, Dan Koe, Alex Hormozi) plus X open-source algorithm analysis into an actionable operating system for content creation and account growth, with specialization in the AI/tech niche. ## Core Features & Use Cases - Scenario-Routed Assistance: Routes user questions to five execution scenarios—writing tweets/threads, topic ideation via the 4A matrix, content review with layered diagnostics, stage-based growth planning (0-1K/1K-10K/10K-100K followers), and full account diagnostics with data collection. - Algorithm-Grounded Advice: Applies X open-source algorithm weights (reply 27x, conversation 150x, external link penalties, Premium multipliers, TweepCred) to every recommendation. - Account Diagnostics & Persistence: Collects up to 100 recent tweets via browser tools or user exports, generates an Economist-style HTML report with ECharts visualizations, and stores per-user strategy files in user-data/ for cross-session continuity. - Use Case: A developer asks how to grow on X. The Skill asks their follower count and Premium status, diagnoses bottlenecks, then outputs a concrete weekly action plan citing engagement velocity windows and comment-section leverage tactics. ## Quick Start Ask the mentor to write three hook variations for a tweet about your latest project, or request a growth plan for your current follower stage.

Frequently Asked Questions about x-mastery-mentor

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

FAQPage Schema
How do I write a viral Twitter thread hook?▼

Write 10-15 hook versions and pick the best, ensuring it answers who it is for, what it covers, and why to read. Combine a curiosity gap with credibility anchors like numbers or timeframes, and keep the first two lines attention-grabbing since engagement velocity in the first 15-30 minutes determines distribution.

What is the best X/Twitter growth strategy for accounts under 1K followers?▼

Focus on posting 2-3 tweets daily and leaving high-quality 200-400 word replies on 10-20 large accounts in your niche, since replies carry 27x the algorithm weight of likes. Subscribe to Premium for the 4x in-network visibility boost and complete your profile to raise TweepCred.

Does posting external links hurt Twitter reach?▼

Yes, external links reduce reach by 30-50%, and for non-Premium accounts link posts get nearly zero engagement. The recommended workaround is placing the link in the first reply instead of the main tweet.

How does the X algorithm weight different engagement types?▼

Based on the open-source algorithm, conversation replies with author interaction carry 150x the weight of a like, plain replies 27x, profile clicks 24x, dwell time over 2 minutes about 20x, retweets 2x, and likes 1x. Reports trigger a -369x penalty.

Can this skill analyze my X account performance?▼

Yes, it collects up to 100 recent tweets via browser automation or user-provided exports, then generates a six-dimension diagnostic report covering KPIs, content ROI by topic, funnel metrics, timing analysis, and action recommendations, saved as an HTML report.

What are the limitations of X growth advice from this skill?▼

The algorithm data is time-stamped to April 2026 and weights may change. The methodologies come from successful creators, introducing survivorship bias, and they are primarily validated on English-language markets, so Chinese-language dynamics may differ.

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