X Twitter Growth

# 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 1. Search `site:x.com "topic" min_faves:100` via Brave to find high-performing content 2. Identify 5-10 accounts in your niche with strong engagement 3. For each, analyze: posting frequency, content types, hook patterns, engagement rates 4. 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 1. Optimize bio and pinned tweet (Step 1) 2. Identify 20 accounts in your niche to engage with daily 3. Reply 10-20 times per day to larger accounts (genuine value only) 4. Post 2-3 atomic tweets per day testing different formats 5. Publish 1 thread ### Week 3-4: Pattern Recognition 1. Review what formats got most engagement 2. Double down on top 2 content formats 3. Increase to 3-5 posts per day 4. Publish 2-3 threads per week 5. Start quote-tweeting relevant content daily ### Month 2+: Scale 1. Develop 3-5 recurring content series (e.g., "Friday Framework") 2. Cross-pollinate: repurpose threads as LinkedIn posts, newsletter content 3. Build reply relationships with 5-10 accounts your size (mutual engagement) 4. Experiment with spaces/audio if relevant to niche 5. 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 1. **Posting links directly** — Always put links in the first reply, never in the tweet body 2. **Thread tweet 1 is weak** — If the hook doesn't stop scrolling, nothing else matters 3. **Inconsistent posting** — Algorithm rewards daily consistency over occasional bangers 4. **Only broadcasting** — Replies and engagement are 50%+ of growth, not just posting 5. **Generic bio** — "Helping people do things" tells nobody anything 6. **Copying formats without adapting** — What works for tech Twitter doesn't work for marketing Twitter ## Related Skills - `social-content` — Multi-platform content creation - `social-media-manager` — Overall social strategy - `social-media-analyzer` — Cross-platform analytics - `content-production` — Long-form content that feeds X threads - `copywriting` — Headline and hook writing techniques