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Complete X (Twitter) algorithm mastery - engagement weights, viral formulas, shadow ban avoidance, thread optimization, and growth strategies. Based on X's open-source code analysis and real creator data.
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决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
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npx skills add https://github.com/johnalbertini14-glitch/openclaw-skills --skill x-mastery命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Use this skill to create a Polymarket wallet for your agent and trade on prediction markets. Browse markets, place bets, manage positions — all without exposing private keys.
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Automated daily security audits for OpenClaw agents with email reporting. Runs deep audits and sends formatted reports.
基于 SOC 职业分类
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| name | x-mastery |
| description | Complete X (Twitter) algorithm mastery - engagement weights, viral formulas, shadow ban avoidance, thread optimization, and growth strategies. Based on X's open-source code analysis and real creator data. |
| version | 1.0.0 |
| author | lxgicstudios |
| keywords | x, twitter, algorithm, viral, engagement, growth, shadowban, threads, articles, social-media, content-strategy |
The definitive guide to X (Twitter). Based on X's open-source recommendation algorithm, engagement data from 10M+ tweets, and strategies from accounts that grew 0 to 100K+ followers.
┌─────────────────┐
│ 1. CANDIDATE │ Pull ~1,500 tweets from:
│ SOURCING │ - In-network (50%): accounts you follow
│ │ - Out-network (50%): similar accounts, trending
└────────┬────────┘
│
┌────────▼────────┐
│ 2. RANKING │ ML model scores each tweet:
│ (RealGraph) │ - Likelihood to reply (highest weight)
│ │ - Likelihood to retweet
│ │ - Likelihood to like
│ │ - Likelihood to report (NEGATIVE)
└────────┬────────┘
│
┌────────▼────────┐
│ 3. FILTERING │ Remove:
│ (Heuristics) │ - Blocked/muted accounts
│ │ - Excessive posts from single author
│ │ - NSFW (unless opted in)
│ │ - Balance in/out network mix
└────────┬────────┘
│
┌────────▼────────┐
│ 4. SERVING │ Final timeline:
│ │ - Mix with ads
│ │ - Runs 5B times/day
│ │ - Avg time: 1.5 seconds
└─────────────────┘
| Action | Weight Multiplier | Notes |
|---|---|---|
| Reply | 27x | Highest signal - indicates real engagement |
| Retweet | 20x | Strong distribution signal |
| Quote Tweet | 24x | Higher than RT (adds context) |
| Like | 1x | Baseline |
| Bookmark | 4x | Private save = high intent |
| Profile click | 12x | Shows deep interest |
| Dwell time (2min+) | 11x | Longer read = quality content |
| Video watch (50%+) | 16x | Completion matters |
| Report | -738x | DEATH SENTENCE |
| Block | -74x | Very negative |
| Mute | -369x | Worse than block |
| "Show less often" | -73x | Soft negative |
Every account pair has a "RealGraph" score measuring relationship strength:
In-Network Signals:
Out-Network Signals:
| Content Type | Engagement Multiplier | Algorithm Boost |
|---|---|---|
| Native Video | 10x | High priority |
| Video (GIF) | 6x | Medium-high |
| Images (1-4) | 2-3x | Medium |
| Polls | 4x | Drives replies |
| Threads (3+) | 3x total | Cumulative engagement |
| Text only | 1x | Baseline |
| Text + Link | 0.3x | SUPPRESSED |
| Goal | Posts/Day | Replies/Day |
|---|---|---|
| Maintenance | 1-2 | 5-10 |
| Growth | 3-5 | 20-50 |
| Aggressive Growth | 5-10 | 50-100 |
| Maximum | 15-20 | 100+ |
Warning: More than 20 posts/day triggers spam detection.
| Time Slot | Quality | Why |
|---|---|---|
| 8-10 AM ET | BEST | Morning scroll, commutes |
| 12-1 PM ET | Good | Lunch break |
| 4-6 PM ET | Good | End of workday |
| 8-10 PM ET | Decent | Evening leisure |
| 11 PM - 7 AM ET | Worst | Low activity |
Pro tip: Post 5-10 minutes BEFORE peak times - algorithm needs time to surface.
Minutes 0-30: CRITICAL - determines 90% of reach
Minutes 30-60: Still matters - can push to "trending"
Hours 1-2: Important - extended reach window
Hours 2-6: Diminishing returns
Hours 6+: Dead unless viral
Recovery: Stop posting 24-48h, then post only high-quality content for 2 weeks.
Tweet 1: HOOK - Must stand alone, no "thread" or "🧵" in hook
Tweet 2-3: The PROBLEM - Why this matters
Tweet 4-7: The SOLUTION - Step by step value
Tweet 8: SUMMARY - Key takeaways
Tweet 9: CTA - Follow for more / link in reply
The Insecurity Hook
"Everyone's talking about [X] and you're still wondering if you missed the window..."
The RIP Hook
"RIP [profession]. This AI tool will [action] in [time]."
The Secret Hook
"I spent [time] studying [X]. Here's what nobody tells you..."
The Opportunity Hook
"This is the biggest opportunity since [comparison]."
The Mistake Hook
"I wasted [time/money] making these [N] mistakes. Don't repeat them."
1. HOOK (insecurity, curiosity, or opportunity gap)
2. SOCIAL PROOF (why you're credible to write this)
3. THE PROBLEM (what's at stake)
4. THE SOLUTION (your framework/method)
5. STEP-BY-STEP (numbered, actionable)
6. OBJECTION HANDLING (why most won't do it)
7. RESULTS (what they'll get)
8. URGENCY (why now)
9. CTA (specific next action)
Ratio > 10:1 = Authority signal (boost)
Ratio 2:1-10:1 = Healthy (neutral)
Ratio 1:1-2:1 = Warning zone
Ratio < 1:1 = Follow-farming penalty
Rule: Only be controversial about things you genuinely believe.
❌ Bad: "Check out my course [link]"
✅ Good: "I made a free guide on [topic]. Drop a 🔥 and I'll DM it to you."
✅ Good: Thread → Link in final tweet or reply
✅ Good: "Link in bio" (but don't overuse)
✅ Good: Pin tweet with link, reference in other tweets
| Metric | Poor | Average | Good | Great |
|---|---|---|---|---|
| Engagement Rate | <1% | 1-3% | 3-6% | >6% |
| Reply Rate | <0.1% | 0.1-0.5% | 0.5-1% | >1% |
| Profile Click Rate | <0.5% | 0.5-1% | 1-2% | >2% |
clawdhub install lxgicstudios/x-mastery
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