x-twitter-growth
X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.
- License 许可
- MIT
- 最近更新
- 2026-05-02
- Stars
- ★ 3
- Forks
- 1
01 前言 Front Matter
- name
- x-twitter-growth
- license
- MIT
- metadata
- { "author": "Alireza Rezvani", "updated": 1773100800000, "version": "1.0.0", "category": "marketing" }
- description
- X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search.
02 资源文件 8
- 其他.gitignore14 B
- 参考文档bmad-skill-manifest.yaml1.0 KB
- 参考文档references/algorithm-signals.md2.8 KB
- 脚本scripts/competitor_analyzer.py8.1 KB
- 脚本scripts/content_planner.py7.2 KB
- 脚本scripts/growth_tracker.py9.7 KB
- 脚本scripts/profile_auditor.py11.3 KB
- 脚本scripts/tweet_composer.py10.2 KB
03 SKILL.md 正文
X/Twitter Growth Engine
X-specific growth skill. For general social media content across platforms, see social-content. For social strategy and calendar planning, see social-media-manager. This skill goes deep on X.
When to Use This vs Other Skills
| Need | Use |
|---|---|
| Write a tweet or thread | This skill |
| Plan content across LinkedIn + X + Instagram | social-content |
| Analyze engagement metrics across platforms | social-media-analyzer |
| Build overall social strategy | social-media-manager |
| X-specific growth, algorithm, competitive intel | This skill |
Step 1 — Profile Audit
Before any growth work, audit the current X presence. Run scripts/profile_auditor.py with the handle, or manually assess:
Bio Checklist
- [ ] Clear value proposition in first line (who you help + how)
- [ ] Specific niche — not "entrepreneur | thinker | builder"
- [ ] Social proof element (followers, title, metric, brand)
- [ ] CTA or link (newsletter, product, site)
- [ ] No hashtags in bio (signals amateur)
Pinned Tweet
- [ ] Exists and is less than 30 days old
- [ ] Showcases best work or strongest hook
- [ ] Has clear CTA (follow, subscribe, read)
Recent Activity (last 30 posts)
- [ ] Posting frequency: minimum 1x/day, ideal 3-5x/day
- [ ] Mix of formats: tweets, threads, replies, quotes
- [ ] Reply ratio: >30% of activity should be replies
- [ ] Engagement trend: improving, flat, or declining
Run: python3 scripts/profile_auditor.py --handle @username
Step 2 — Competitive Intelligence
Research competitors and successful accounts in your niche using web search.
Process
- Search
site:x.com "topic" min_faves:100via Brave to find high-performing content - Identify 5-10 accounts in your niche with strong engagement
- For each, analyze: posting frequency, content types, hook patterns, engagement rates
- Run:
python3 scripts/competitor_analyzer.py --handles @acc1 @acc2 @acc3
What to Extract
- Hook patterns — How do top posts start? Question? Bold claim? Statistic?
- Content themes — What 3-5 topics get the most engagement?
- Format mix — Ratio of tweets vs threads vs replies vs quotes
- Posting times — When do their best posts go out?
- Engagement triggers — What makes people reply vs like vs retweet?
Step 3 — Content Creation
Tweet Types (ordered by growth impact)
1. Threads (highest reach, highest follow conversion)
Structure:
- Tweet 1: Hook — must stop the scroll in <7 words
- Tweet 2: Context or promise ("Here's what I learned:")
- Tweets 3-N: One idea per tweet, each standalone-worthy
- Final tweet: Summary + explicit CTA ("Follow @handle for more")
- Reply to tweet 1: Restate hook + "Follow for more [topic]"
Rules:
- 5-12 tweets optimal (under 5 feels thin, over 12 loses people)
- Each tweet should make sense if read alone
- Use line breaks for readability
- No tweet should be a wall of text (3-4 lines max)
- Number the tweets or use "↓" in tweet 1
2. Atomic Tweets (breadth, impression farming)
Formats that work:
- Observation: "[Thing] is underrated. Here's why:"
- Listicle: "10 tools I use daily:\n\n1. X — for Y"
- Contrarian: "Unpopular opinion: [statement]"
- Lesson: "I [did X] for [time]. Biggest lesson:"
- Framework: "[Concept] explained in 30 seconds:"
Rules:
- Under 200 characters gets more engagement
- One idea per tweet
- No links in tweet body (kills reach — put link in reply)
- Question tweets drive replies (algorithm loves replies)
3. Quote Tweets (authority building)
Formula: Original tweet + your unique take
- Add data the original missed
- Provide counterpoint or nuance
- Share personal experience that validates/contradicts
- Never just say "This" or "So true"
4. Replies (network growth, fastest path to visibility)
Strategy:
- Reply to accounts 2-10x your size
- Add genuine value, not "great post!"
- Be first to reply on accounts with large audiences
- Your reply IS your content — make it tweet-worthy
- Controversial/insightful replies get quote-tweeted (free reach)
Run: python3 scripts/tweet_composer.py --type thread --topic "your topic" --audience "your audience"
Step 4 — Algorithm Mechanics
What X rewards (2025-2026)
| Signal | Weight | Action |
|---|---|---|
| Replies received | Very high | Write reply-worthy content (questions, debates) |
| Time spent reading | High | Threads, longer tweets with line breaks |
| Profile visits from tweet | High | Curiosity gaps, tease expertise |
| Bookmarks | High | Tactical, save-worthy content (lists, frameworks) |
| Retweets/Quotes | Medium | Shareable insights, bold takes |
| Likes | Low-medium | Easy agreement, relatable content |
| Link clicks | Low (penalized) | Never put links in tweet body — use reply |
What kills reach
- Links in tweet body (put in first reply instead)
- Editing tweets within 30 min of posting
- Posting and immediately going offline (no early engagement)
- More than 2 hashtags
- Tagging people who don't engage back
- Threads with inconsistent quality (one weak tweet tanks the whole thread)
Optimal Posting Cadence
| Account size | Tweets/day | Threads/week | Replies/day |
|---|---|---|---|
| < 1K followers | 2-3 | 1-2 | 10-20 |
| 1K-10K | 3-5 | 2-3 | 5-15 |
| 10K-50K | 3-7 | 2-4 | 5-10 |
| 50K+ | 2-5 | 1-3 | 5-10 |
Step 5 — Growth Playbook
Week 1-2: Foundation
- Optimize bio and pinned tweet (Step 1)
- Identify 20 accounts in your niche to engage with daily
- Reply 10-20 times per day to larger accounts (genuine value only)
- Post 2-3 atomic tweets per day testing different formats
- Publish 1 thread
Week 3-4: Pattern Recognition
- Review what formats got most engagement
- Double down on top 2 content formats
- Increase to 3-5 posts per day
- Publish 2-3 threads per week
- Start quote-tweeting relevant content daily
Month 2+: Scale
- Develop 3-5 recurring content series (e.g., "Friday Framework")
- Cross-pollinate: repurpose threads as LinkedIn posts, newsletter content
- Build reply relationships with 5-10 accounts your size (mutual engagement)
- Experiment with spaces/audio if relevant to niche
- Run:
python3 scripts/growth_tracker.py --handle @username --period 30d
Step 6 — Content Calendar Generation
Run: python3 scripts/content_planner.py --niche "your niche" --frequency 5 --weeks 2
Generates a 2-week posting plan with:
- Daily tweet topics with hook suggestions
- Thread outlines (2-3 per week)
- Reply targets (accounts to engage with)
- Optimal posting times based on niche
Scripts
| Script | Purpose |
|---|---|
scripts/profile_auditor.py |
Audit X profile: bio, pinned, activity patterns |
scripts/tweet_composer.py |
Generate tweets/threads with hook patterns |
scripts/competitor_analyzer.py |
Analyze competitor accounts via web search |
scripts/content_planner.py |
Generate weekly/monthly content calendars |
scripts/growth_tracker.py |
Track follower growth and engagement trends |
Common Pitfalls
- Posting links directly — Always put links in the first reply, never in the tweet body
- Thread tweet 1 is weak — If the hook doesn't stop scrolling, nothing else matters
- Inconsistent posting — Algorithm rewards daily consistency over occasional bangers
- Only broadcasting — Replies and engagement are 50%+ of growth, not just posting
- Generic bio — "Helping people do things" tells nobody anything
- Copying formats without adapting — What works for tech Twitter doesn't work for marketing Twitter
Related Skills
social-content— Multi-platform content creationsocial-media-manager— Overall social strategysocial-media-analyzer— Cross-platform analyticscontent-production— Long-form content that feeds X threadscopywriting— Headline and hook writing techniques
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