X导师.skill (X Mentor Skill)

Skill by ara.so — Daily 2026 Skills collection.

A Claude Code skill that distills methodologies from 6 top X creators (Nicolas Cole, Dickie Bush, Sahil Bloom, Justin Welsh, Dan Koe, Alex Hormozi) plus open-source X algorithm data into a complete content operating system. Covers hook engineering, thread writing, growth mechanics, account diagnostics, and monetization strategy.

Installation

npx skills add alchaincyf/x-mentor-skill

After installation, activate with natural language:

"帮我写条推文"

"X策略"

"推特怎么涨粉"

"帮我审阅这条tweet"

"分析我的X账号 @username"

Five Core Scenarios

Scenario A — Write a Tweet

Trigger: Any request to write/create a tweet or thread.

Workflow:

• Clarify format (short tweet vs. thread) and target audience

• Generate 3 hook variants with formula labels

• Recommend best version with rationale

• Flag algorithm risks (external links, timing)

Example interaction:

User: Write a tweet about building an AI coding assistant with Claude Code

X导师: Format — short tweet or thread? Target audience?

User: Short tweet, for AI developers

X导师: 3 Hook versions:

Version A (Curiosity Gap + Credibility Anchor):

"I built an AI coding assistant with Claude Code.

48 hours. Zero frameworks. Pure vibe coding.

The surprising part wasn't that it worked — it was 3x faster than my handwritten version."

Version B (Value Equation: High Result / Low Effort):

"Can't code? Doesn't matter.

I just built an AI coding assistant in 2 days using Claude Code.

Wrote zero lines of code myself. Full walkthrough:"

Version C (Contrarian + Specific Data):

"Most AI coding assistant benchmarks are demo-level.

I built one that's actually in production using Claude Code.

The difference? 30 edge cases and an AI willing to debug until 3am."

→ Recommend Version A: has specific numbers (48h/3x) and a suspense hook.

→ Best publish time: Weekdays 9–11am.

⚠️ No external links in the post body — put them in the first reply.

Scenario B — Review a Hook

Trigger: User pastes existing tweet content asking for feedback.

Scoring rubric:

• Curiosity gap (does it create a must-read-on feeling?)

• Credibility anchor (why should I believe you?)

• Specific benefit (what will I get?)

Example:

User: Review this: "I tested 5 AI coding tools. Here's what I found."

X导师: Hook Score: 3/10

Diagnosis:

❌ No curiosity gap — no suspense, reader doesn't need to click

❌ No credibility anchor — anyone can say "I tested"

❌ No specific benefit — "what I found" is too vague

Rewrite:

"I stress-tested 5 AI coding tools on the same project

(a full-stack app in 48 hours).

One saved me 12 hours. The rest were useless.

A thread:"

Changes: Added specific scenario (full-stack app), time anchor (48h),

suspense (which one?), credibility (real test data).

Scenario C — Topic Selection

Trigger: User asks for content ideas or is stuck on what to post.

4A Topic Matrix:

Generate one topic × 4 angles = unlimited content:

Angle

Description

Example

Actionable

How-to, step-by-step

"5 steps to X"

Analytical

Data, research, breakdown

"I analyzed 100 posts..."

Aspirational

Vision, transformation

"In 2 years I went from..."

Anthropological

Observation, patterns

"Why most people fail at..."

Lean Validation Flywheel:

Tweet (validate) → Thread (expand) → Newsletter (deepen) → Product (monetize)

Never write long-form until a tweet has proven the idea resonates.

Scenario D — Growth Strategy

Trigger: User asks about follower growth, algorithm, or monetization.

X Algorithm Key Weights (from open-source code, April 2026):

Conversation reply (author replies back to you): 150x

Regular reply:                                    27x

Dwell time (>2 minutes):                         20x

Retweet:                                          2x

Like:                                             1x (baseline)

TweepCred System:

Non-Premium user baseline:    -128 points

Distribution threshold:       +17 points

Premium subscription bonus:  +100 points (instant)

Gap without Premium:         -145 points below threshold

Growth phases:

0–1K (Cold Start):

- Post 2–3 short tweets/day to find resonant topics

- Leave 5–10 high-quality replies (200–400 words) on large accounts daily

- DM 3 same-size creators/week for mutual support

- No threads yet — find your high-ER topics first

- Expected: 5–10 followers/day → 1K in 4–8 weeks

1K–10K (Flywheel):

- Weekly thread on proven topics

- Activate "Public Building" — document your process

- Start email list (algorithm changes, newsletters don't)

- Expected: 30–50 followers/day

10K+ (Monetization):

- Cohort courses / 1-on-1 coaching / digital products

- Justin Welsh model: $12M/year, 90% margin, solopreneur

Critical warnings:

⚠️ External links in post body: -30–50% reach

⚠️ Non-Premium links: median engagement = 0

⚠️ "Great post!" replies: algorithm detects and ignores engagement bait

Scenario E — Account Diagnostics

Trigger: User asks to analyze their X account.

Data collection (3-tier fallback):

# Tier 1: Automatic via computer-use / browser tools

# Tier 2: User pastes exported data

# Tier 3: User manually provides metrics

# Data saved to:

user-data/{username}/

├── profile.md              # Account basics

├── tweets_{date}.json      # Raw tweet data

├── tweets_{date}.md        # Human-readable summary

├── report_{date}.html      # Economist-style HTML report

└── strategy.md             # Personalized strategy

Diagnostic report sections:

• KPI Dashboard — followers, ER rate, posting frequency

• Content ROI — which content types deliver most engagement per hour invested

• Distribution Funnel — impressions → likes → replies → follows

• Time Analysis — best/worst posting windows

• Brand Narrative — positioning clarity score

• Action Plan — top 3 highest-ROI changes

Persistent memory: On every activation, the skill checks user-data/{username}/ for historical data:

• Found + <30 days old → silently load personalized strategy

• Found + >30 days old → suggest re-diagnosis

• Not found → offer full diagnosis

6 Core Mental Models

Model

One-liner

Source

Lean Validation Flywheel

Tweet to validate → expand if data supports

Cole/Bush + Sahil + Hormozi + Welsh

Attention Engineering

First 2 lines decide everything; hooks can be engineered

Cole + Hormozi (Value Equation)

Category Creation

Don't fight for a niche — create one only you own

Cole (Snow Leopard) + Koe (Niche of One)

Value Front-Loading

Give away the secret for free, sell the execution

Hormozi + Welsh + Sahil

Build in Public

Turn your process into content; audience becomes stakeholders

levelsio + swyx

Systematic Compounding

Templates replace inspiration; output becomes predictable

Welsh (Content OS) + Koe (2 Hour Writer)

10 Decision Heuristics

1. Tweet before writing long-form    — tweets are idea refineries

2. Hook gets 50% of creative time    — write 10–15 versions, pick the best

3. Conversation beats everything     — a reply = 150 likes (X open source)

4. 1/3/1 rhythm                      — 1 hook + 3 expansion + 1 transition

5. Super Bowl Response               — new model launch = respond within 1 hour

6. Own your audience                 — algorithms change, newsletters don't

7. 4A Topic Matrix                   — 1 topic × 4 angles = unlimited content

8. Give secrets, sell execution      — 99% of readers won't do it themselves

9. Templates beat inspiration        — Cole uses 7 templates for 200+ threads

10. Replies are gold mines           — one reply can get 6,700 impressions

Hook Templates (Nicolas Cole's 7 Core Formats)

## Template 1: The Curiosity Gap

"[Common belief]. But [surprising exception].

Here's what no one tells you:"

## Template 2: The Numbered List Hook

"[X] things I learned from [credible source/experience]:"

## Template 3: The Contrarian Take

"Unpopular opinion: [mainstream belief] is wrong.

Here's why:"

## Template 4: The Personal Story

"[Time ago], I [relatable struggle].

Today, I [transformation].

What changed:"

## Template 5: The Data Lead

"I analyzed [specific number] [things].

The result surprised me:"

## Template 6: The How-To Promise

"How to [desirable outcome] in [specific time frame]

(without [common obstacle]):"

## Template 7: The Value Equation (Hormozi)

"[High dream outcome] + [High perceived likelihood]

+ [Low time delay] + [Low effort/sacrifice]"

Thread Structure (The 1/3/1 Pattern)

Tweet 1: HOOK

  → One punchy line that creates a curiosity gap

  → Never reveal the answer in the hook

Tweet 2-N: BODY (each tweet follows 1/3/1)

  [1 line setup]

  [3 lines of substance/evidence]

  [1 line transition to next tweet]

Final Tweet: CTA

  Options:

  - "Follow me for more on [topic]"

  - "RT the first tweet if this was useful"

  - "I write about this in my newsletter: [link]"

  ⚠️ Put newsletter/external link ONLY in the last tweet

Content OS Template (Justin Welsh's System)

## Weekly Content Schedule

Monday:    Analytical post (data/research)

Tuesday:   Actionable post (how-to)

Wednesday: Aspirational post (story/transformation)

Thursday:  Engagement/reply day (no original post)

Friday:    Thread (on topic validated by Mon-Wed posts)

Weekend:   Community building, DMs, newsletter

## Topic Pillars (pick 2-3)

Pillar 1: [Your professional expertise]

Pillar 2: [Your contrarian perspective]

Pillar 3: [Your personal story/journey]

## Weekly Review Metrics

- Top post by impressions: [__]

- Top post by engagement rate: [__]

- New followers this week: [__]

- Email subscribers added: [__]

- What to double down on: [__]

AI/Tech Niche Specific Tactics

## Timing Windows for AI Content

- New model releases: Respond within 0–60 minutes

- Major AI news: Within 2–4 hours (before saturation)

- Weekend builds: "Ship something Sunday" posts perform well

- Best posting windows: 9–11am weekdays (your audience's timezone)

## High-ER Content Types for AI Niche

1. Build-in-public updates with specific metrics

2. Contrarian takes on hyped tools (with evidence)

3. Before/after comparisons (workflow transformation)

4. "I gave AI a hard problem" with honest results

5. Tool teardowns (not just "here's a cool tool")

## Avoid in AI Niche

❌ "AI is going to change everything" (too vague)

❌ Resharing press releases without original take

❌ Engagement bait ("Drop a 🔥 if you agree")

❌ Posting the same benchmark every tool already shares

Anti-Patterns Reference

## The 6 Common Failure Modes

1. TOPIC SCATTER — Posting about 10 different topics, never building authority

   Fix: Pick 2–3 pillars, stick for 90 days minimum

2. LINK ADDICTION — Putting URLs in every post

   Fix: All links go in replies or last thread tweet only

3. VANITY POSTING — Writing for yourself, not your reader

   Fix: Every post answers "what does my reader get from this?"

4. ENGAGEMENT BAIT — "Like if you agree!" "RT for more!"

   Fix: Algorithm detects this; earn engagement through value

5. PREMATURE MONETIZATION — Selling before building trust

   Fix: Welsh rule: 1,000 true fans before any paid offer

6. INCONSISTENCY — Posting 10x one week, zero the next

   Fix: Reduce quality bar temporarily to maintain consistency

      ("minimum viable post" > no post)

Troubleshooting

Issue: Posts getting zero impressions

Diagnosis: TweepCred likely below distribution threshold (-128 baseline)

Fix sequence:

1. Subscribe to Premium (+100 TweepCred instantly)

2. Remove all external links from post bodies

3. Increase reply activity on large accounts (150x weight)

4. Check if account has any policy flags (check X settings)

Issue: Good impressions but no follower growth

Diagnosis: Content-to-profile mismatch or weak profile

Fix sequence:

1. Audit profile: bio must state WHO you help + HOW

2. Pin your best-performing thread to profile

3. Every viral post should funnel to a clear follow reason

4. Add "I write about [X] every [cadence]" to bio

Issue: Followers not converting to email subscribers

Diagnosis: No consistent CTA or newsletter value prop unclear

Fix sequence:

1. Add newsletter link to bio (not just Linktree)

2. End every thread with a specific newsletter CTA

3. Give away a "lead magnet" (free guide, template, checklist)

4. Post one "newsletter exclusive content preview" per week

Issue: Account diagnostics tool can't auto-collect data

# Fallback to manual data provision:

Provide any of the following:

- Screenshot of your X Analytics dashboard

- CSV export from X Data (Settings → Your Account → Download archive)

- Manual paste of your last 20 tweets with engagement numbers

Minimum viable data for diagnosis:

- Last 30 days impressions

- Top 5 posts by engagement

- Follower count + growth rate

- Most common posting times

File Structure (Post-Installation)

your-project/

├── SKILL.md                          # Main routing file (249 lines)

├── references/

│   ├── writing-workshop.md           # Short tweets/hooks/threads/topics

│   ├── algorithm-niche.md            # X algorithm + AI niche tactics

│   ├── growth-monetization.md        # Growth engines + monetization

│   ├── quality-analytics.md          # Quality checklist + diagnostics

│   └── mental-models-heuristics.md   # 6 models + 10 heuristics

├── research/

│   ├── 01-writing-methods.md         # Nicolas Cole / Dickie Bush methodology

│   ├── 02-growth-engines.md          # Sahil Bloom / Justin Welsh systems

│   ├── 03-content-brand.md           # Dan Koe / Alex Hormozi frameworks

│   ├── 04-platform-mechanics.md      # X algorithm / TweepCred analysis

│   ├── 05-ai-tech-niche.md           # AI niche / Build in Public / China devs

│   └── 06-cases-antipatterns.md      # Case studies + failure patterns

└── user-data/

    └── {username}/

        ├── profile.md

        ├── tweets_{date}.json

        ├── tweets_{date}.md

        ├── report_{date}.html

        └── strategy.md

Quick Reference Card

WRITE TWEET    → 3 hooks + formula labels + publish time + link warning

REVIEW HOOK    → score/10 + 3-point diagnosis + rewrite

TOPIC IDEAS    → 4A matrix + lean validation flywheel

GROWTH STUCK   → TweepCred diagnosis + weekly action plan

ACCOUNT AUDIT  → auto-collect → HTML report → personalized strategy

ALGORITHM WEIGHTS:  Reply conversation=150x, Reply=27x, RT=2x, Like=1x

LINK PENALTY:       -30–50% reach (put in replies only)

PREMIUM VALUE:      +100 TweepCred (bridges most of the -145 deficit)

BEST POST TIME:     Weekdays 9–11am

HOOK TIME BUDGET:   50% of total writing time