X Mentor Skill Nuwa

by reason-machines2384a003145aNo licenseListed Oct 8, 2026Updated Oct 8, 2026

AI-powered X (Twitter) content strategy skill that distills methodologies from 6 top creators + open-source algorithm data into actionable writing, growth, and monetization guidance.

Instructions onlyMarketing & Sales Writing & Content

AI-generated overview

Guides X (Twitter) content strategy: tweet and thread writing, hook review, growth tactics and account diagnostics.

What it does: This skill packages X (Twitter) content strategy guidance drawn from named creators and open-source algorithm data. It produces hook variants with formula labels, hook scores with rewrites, topic ideas from a 4A matrix, growth and monetization plans, and account diagnostic reports. It also defines a user-data folder layout for storing profiles, tweet exports, reports and strategies.
When to use it: Use it when someone wants help writing a tweet or thread, reviewing a hook, finding content ideas, growing an X account, or diagnosing posting performance. It is aimed at creators and developers building an audience on X.
Requirements: Instructions only; no scripts ship with the skill. Account diagnostics describe optional data collection via browser or computer-use tools, or manual pasting of analytics exports, and reference a user-data directory for stored files.

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

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"

"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.

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).

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:

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): 150xRegular reply:                                    27xDwell time (>2 minutes):                         20xRetweet:                                          2xLike:                                             1x (baseline)

Conversation reply (author replies back to you): 150xRegular reply:                                    27xDwell time (>2 minutes):                         20xRetweet:                                          2xLike:                                             1x (baseline)

TweepCred System:

Non-Premium user baseline:    -128 pointsDistribution threshold:       +17 pointsPremium subscription bonus:  +100 points (instant)Gap without Premium:         -145 points below threshold

Non-Premium user baseline:    -128 pointsDistribution threshold:       +17 pointsPremium 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

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

⚠️ 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):

python

# 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

# 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 refineries2. Hook gets 50% of creative time    — write 10–15 versions, pick the best3. Conversation beats everything     — a reply = 150 likes (X open source)4. 1/3/1 rhythm                      — 1 hook + 3 expansion + 1 transition5. Super Bowl Response               — new model launch = respond within 1 hour6. Own your audience                 — algorithms change, newsletters don't7. 4A Topic Matrix                   — 1 topic × 4 angles = unlimited content8. Give secrets, sell execution      — 99% of readers won't do it themselves9. Templates beat inspiration        — Cole uses 7 templates for 200+ threads10. Replies are gold mines           — one reply can get 6,700 impressions

1. Tweet before writing long-form    — tweets are idea refineries2. Hook gets 50% of creative time    — write 10–15 versions, pick the best3. Conversation beats everything     — a reply = 150 likes (X open source)4. 1/3/1 rhythm                      — 1 hook + 3 expansion + 1 transition5. Super Bowl Response               — new model launch = respond within 1 hour6. Own your audience                 — algorithms change, newsletters don't7. 4A Topic Matrix                   — 1 topic × 4 angles = unlimited content8. Give secrets, sell execution      — 99% of readers won't do it themselves9. Templates beat inspiration        — Cole uses 7 templates for 200+ threads10. Replies are gold mines           — one reply can get 6,700 impressions

Hook Templates (Nicolas Cole's 7 Core Formats)

markdown

## 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]"

## 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

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)

markdown

## Weekly Content ScheduleMonday:    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: [__]

## Weekly Content ScheduleMonday:    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

markdown

## 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 Niche1. Build-in-public updates with specific metrics2. Contrarian takes on hyped tools (with evidence)3. Before/after comparisons (workflow transformation)4. "I gave AI a hard problem" with honest results5. 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

## 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 Niche1. Build-in-public updates with specific metrics2. Contrarian takes on hyped tools (with evidence)3. Before/after comparisons (workflow transformation)4. "I gave AI a hard problem" with honest results5. 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

markdown

## 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)

## 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 bodies3. Increase reply activity on large accounts (150x weight)4. Check if account has any policy flags (check X settings)

Diagnosis: TweepCred likely below distribution threshold (-128 baseline)Fix sequence:1. Subscribe to Premium (+100 TweepCred instantly)2. Remove all external links from post bodies3. 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 profileFix sequence:1. Audit profile: bio must state WHO you help + HOW2. Pin your best-performing thread to profile3. Every viral post should funnel to a clear follow reason4. Add "I write about [X] every [cadence]" to bio

Diagnosis: Content-to-profile mismatch or weak profileFix sequence:1. Audit profile: bio must state WHO you help + HOW2. Pin your best-performing thread to profile3. Every viral post should funnel to a clear follow reason4. Add "I write about [X] every [cadence]" to bio

Issue: Followers not converting to email subscribers

Diagnosis: No consistent CTA or newsletter value prop unclearFix sequence:1. Add newsletter link to bio (not just Linktree)2. End every thread with a specific newsletter CTA3. Give away a "lead magnet" (free guide, template, checklist)4. Post one "newsletter exclusive content preview" per week

Diagnosis: No consistent CTA or newsletter value prop unclearFix sequence:1. Add newsletter link to bio (not just Linktree)2. End every thread with a specific newsletter CTA3. 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

# 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

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 warningREVIEW HOOK    → score/10 + 3-point diagnosis + rewriteTOPIC IDEAS    → 4A matrix + lean validation flywheelGROWTH STUCK   → TweepCred diagnosis + weekly action planACCOUNT AUDIT  → auto-collect → HTML report → personalized strategy
ALGORITHM WEIGHTS:  Reply conversation=150x, Reply=27x, RT=2x, Like=1xLINK PENALTY:       -30–50% reach (put in replies only)PREMIUM VALUE:      +100 TweepCred (bridges most of the -145 deficit)BEST POST TIME:     Weekdays 9–11amHOOK TIME BUDGET:   50% of total writing time

WRITE TWEET    → 3 hooks + formula labels + publish time + link warningREVIEW HOOK    → score/10 + 3-point diagnosis + rewriteTOPIC IDEAS    → 4A matrix + lean validation flywheelGROWTH STUCK   → TweepCred diagnosis + weekly action planACCOUNT AUDIT  → auto-collect → HTML report → personalized strategy
ALGORITHM WEIGHTS:  Reply conversation=150x, Reply=27x, RT=2x, Like=1xLINK PENALTY:       -30–50% reach (put in replies only)PREMIUM VALUE:      +100 TweepCred (bridges most of the -145 deficit)BEST POST TIME:     Weekdays 9–11amHOOK TIME BUDGET:   50% of total writing time

Source and attribution

Source:reason-machines/trending-skillsinskills/x-mentor-skill-nuwaat commit2384a00

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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X Mentor Skill Nuwa

X导师.skill (X Mentor Skill)

Installation

Five Core Scenarios

Scenario A — Write a Tweet

Scenario B — Review a Hook

Scenario C — Topic Selection

Scenario D — Growth Strategy

Scenario E — Account Diagnostics

6 Core Mental Models

10 Decision Heuristics

Hook Templates (Nicolas Cole's 7 Core Formats)

Thread Structure (The 1/3/1 Pattern)

Content OS Template (Justin Welsh's System)

AI/Tech Niche Specific Tactics

Anti-Patterns Reference

Troubleshooting

File Structure (Post-Installation)

Quick Reference Card

Source and attribution

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