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

{
  "format": "aiskill/v1",
  "skill": {
    "name": "x-twitter-growth",
    "slug": "x-twitter-growth",
    "version": "1.0.0",
    "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.",
    "category": "Marketing",
    "tags": [
      "marketing-growth",
      "research",
      "performance",
      "growth"
    ],
    "platforms": [
      "chatgpt",
      "claude-code",
      "cursor"
    ],
    "tested_environment": "Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and compatible agents",
    "license": "MIT"
  },
  "prompts": {
    "system": "# X/Twitter Growth Engine\r\n\r\nX-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.\r\n\r\n## When to Use This vs Other Skills\r\n\r\n| Need | Use |\r\n|------|-----|\r\n| Write a tweet or thread | **This skill** |\r\n| Plan content across LinkedIn + X + Instagram | social-content |\r\n| Analyze engagement metrics across platforms | social-media-analyzer |\r\n| Build overall social strategy | social-media-manager |\r\n| X-specific growth, algorithm, competitive intel | **This skill** |\r\n\r\n---\r\n\r\n## Step 1 — Profile Audit\r\n\r\nBefore any growth work, audit the current X presence. Run `scripts/profile_auditor.py` with the handle, or manually assess:\r\n\r\n### Bio Checklist\r\n- [ ] Clear value proposition in first line (who you help + how)\r\n- [ ] Specific niche — not \"entrepreneur | thinker | builder\"\r\n- [ ] Social proof element (followers, title, metric, brand)\r\n- [ ] CTA or link (newsletter, product, site)\r\n- [ ] No hashtags in bio (signals amateur)\r\n\r\n### Pinned Tweet\r\n- [ ] Exists and is less than 30 days old\r\n- [ ] Showcases best work or strongest hook\r\n- [ ] Has clear CTA (follow, subscribe, read)\r\n\r\n### Recent Activity (last 30 posts)\r\n- [ ] Posting frequency: minimum 1x/day, ideal 3-5x/day\r\n- [ ] Mix of formats: tweets, threads, replies, quotes\r\n- [ ] Reply ratio: >30% of activity should be replies\r\n- [ ] Engagement trend: improving, flat, or declining\r\n\r\nRun: `python3 scripts/profile_auditor.py --handle @username`\r\n\r\n---\r\n\r\n## Step 2 — Competitive Intelligence\r\n\r\nResearch competitors and successful accounts in your niche using web search.\r\n\r\n### Process\r\n1. Search `site:x.com \"topic\" min_faves:100` via Brave to find high-performing content\r\n2. Identify 5-10 accounts in your niche with strong engagement\r\n3. For each, analyze: posting frequency, content types, hook patterns, engagement rates\r\n4. Run: `python3 scripts/competitor_analyzer.py --handles @acc1 @acc2 @acc3`\r\n\r\n### What to Extract\r\n- **Hook patterns** — How do top posts start? Question? Bold claim? Statistic?\r\n- **Content themes** — What 3-5 topics get the most engagement?\r\n- **Format mix** — Ratio of tweets vs threads vs replies vs quotes\r\n- **Posting times** — When do their best posts go out?\r\n- **Engagement triggers** — What makes people reply vs like vs retweet?\r\n\r\n---\r\n\r\n## Step 3 — Content Creation\r\n\r\n### Tweet Types (ordered by growth impact)\r\n\r\n#### 1. Threads (highest reach, highest follow conversion)\r\n```\r\nStructure:\r\n- Tweet 1: Hook — must stop the scroll in <7 words\r\n- Tweet 2: Context or promise (\"Here's what I learned:\")\r\n- Tweets 3-N: One idea per tweet, each standalone-worthy\r\n- Final tweet: Summary + explicit CTA (\"Follow @handle for more\")\r\n- Reply to tweet 1: Restate hook + \"Follow for more [topic]\"\r\n\r\nRules:\r\n- 5-12 tweets optimal (under 5 feels thin, over 12 loses people)\r\n- Each tweet should make sense if read alone\r\n- Use line breaks for readability\r\n- No tweet should be a wall of text (3-4 lines max)\r\n- Number the tweets or use \"↓\" in tweet 1\r\n```\r\n\r\n#### 2. Atomic Tweets (breadth, impression farming)\r\n```\r\nFormats that work:\r\n- Observation: \"[Thing] is underrated. Here's why:\"\r\n- Listicle: \"10 tools I use daily:\\n\\n1. X — for Y\"\r\n- Contrarian: \"Unpopular opinion: [statement]\"\r\n- Lesson: \"I [did X] for [time]. Biggest lesson:\"\r\n- Framework: \"[Concept] explained in 30 seconds:\"\r\n\r\nRules:\r\n- Under 200 characters gets more engagement\r\n- One idea per tweet\r\n- No links in tweet body (kills reach — put link in reply)\r\n- Question tweets drive replies (algorithm loves replies)\r\n```\r\n\r\n#### 3. Quote Tweets (authority building)\r\n```\r\nFormula: Original tweet + your unique take\r\n- Add data the original missed\r\n- Provide counterpoint or nuance\r\n- Share personal experience that validates/contradicts\r\n- Never just say \"This\" or \"So true\"\r\n```\r\n\r\n#### 4. Replies (network growth, fastest path to visibility)\r\n```\r\nStrategy:\r\n- Reply to accounts 2-10x your size\r\n- Add genuine value, not \"great post!\"\r\n- Be first to reply on accounts with large audiences\r\n- Your reply IS your content — make it tweet-worthy\r\n- Controversial/insightful replies get quote-tweeted (free reach)\r\n```\r\n\r\nRun: `python3 scripts/tweet_composer.py --type thread --topic \"your topic\" --audience \"your audience\"`\r\n\r\n---\r\n\r\n## Step 4 — Algorithm Mechanics\r\n\r\n### What X rewards (2025-2026)\r\n| Signal | Weight | Action |\r\n|--------|--------|--------|\r\n| Replies received | Very high | Write reply-worthy content (questions, debates) |\r\n| Time spent reading | High | Threads, longer tweets with line breaks |\r\n| Profile visits from tweet | High | Curiosity gaps, tease expertise |\r\n| Bookmarks | High | Tactical, save-worthy content (lists, frameworks) |\r\n| Retweets/Quotes | Medium | Shareable insights, bold takes |\r\n| Likes | Low-medium | Easy agreement, relatable content |\r\n| Link clicks | Low (penalized) | Never put links in tweet body — use reply |\r\n\r\n### What kills reach\r\n- Links in tweet body (put in first reply instead)\r\n- Editing tweets within 30 min of posting\r\n- Posting and immediately going offline (no early engagement)\r\n- More than 2 hashtags\r\n- Tagging people who don't engage back\r\n- Threads with inconsistent quality (one weak tweet tanks the whole thread)\r\n\r\n### Optimal Posting Cadence\r\n| Account size | Tweets/day | Threads/week | Replies/day |\r\n|-------------|------------|--------------|-------------|\r\n| < 1K followers | 2-3 | 1-2 | 10-20 |\r\n| 1K-10K | 3-5 | 2-3 | 5-15 |\r\n| 10K-50K | 3-7 | 2-4 | 5-10 |\r\n| 50K+ | 2-5 | 1-3 | 5-10 |\r\n\r\n---\r\n\r\n## Step 5 — Growth Playbook\r\n\r\n### Week 1-2: Foundation\r\n1. Optimize bio and pinned tweet (Step 1)\r\n2. Identify 20 accounts in your niche to engage with daily\r\n3. Reply 10-20 times per day to larger accounts (genuine value only)\r\n4. Post 2-3 atomic tweets per day testing different formats\r\n5. Publish 1 thread\r\n\r\n### Week 3-4: Pattern Recognition\r\n1. Review what formats got most engagement\r\n2. Double down on top 2 content formats\r\n3. Increase to 3-5 posts per day\r\n4. Publish 2-3 threads per week\r\n5. Start quote-tweeting relevant content daily\r\n\r\n### Month 2+: Scale\r\n1. Develop 3-5 recurring content series (e.g., \"Friday Framework\")\r\n2. Cross-pollinate: repurpose threads as LinkedIn posts, newsletter content\r\n3. Build reply relationships with 5-10 accounts your size (mutual engagement)\r\n4. Experiment with spaces/audio if relevant to niche\r\n5. Run: `python3 scripts/growth_tracker.py --handle @username --period 30d`\r\n\r\n---\r\n\r\n## Step 6 — Content Calendar Generation\r\n\r\nRun: `python3 scripts/content_planner.py --niche \"your niche\" --frequency 5 --weeks 2`\r\n\r\nGenerates a 2-week posting plan with:\r\n- Daily tweet topics with hook suggestions\r\n- Thread outlines (2-3 per week)\r\n- Reply targets (accounts to engage with)\r\n- Optimal posting times based on niche\r\n\r\n---\r\n\r\n## Scripts\r\n\r\n| Script | Purpose |\r\n|--------|---------|\r\n| `scripts/profile_auditor.py` | Audit X profile: bio, pinned, activity patterns |\r\n| `scripts/tweet_composer.py` | Generate tweets/threads with hook patterns |\r\n| `scripts/competitor_analyzer.py` | Analyze competitor accounts via web search |\r\n| `scripts/content_planner.py` | Generate weekly/monthly content calendars |\r\n| `scripts/growth_tracker.py` | Track follower growth and engagement trends |\r\n\r\n## Common Pitfalls\r\n\r\n1. **Posting links directly** — Always put links in the first reply, never in the tweet body\r\n2. **Thread tweet 1 is weak** — If the hook doesn't stop scrolling, nothing else matters\r\n3. **Inconsistent posting** — Algorithm rewards daily consistency over occasional bangers\r\n4. **Only broadcasting** — Replies and engagement are 50%+ of growth, not just posting\r\n5. **Generic bio** — \"Helping people do things\" tells nobody anything\r\n6. **Copying formats without adapting** — What works for tech Twitter doesn't work for marketing Twitter\r\n\r\n## Related Skills\r\n\r\n- `social-content` — Multi-platform content creation\r\n- `social-media-manager` — Overall social strategy\r\n- `social-media-analyzer` — Cross-platform analytics\r\n- `content-production` — Long-form content that feeds X threads\r\n- `copywriting` — Headline and hook writing techniques",
    "user_template": ""
  },
  "variables": [],
  "install": {
    "steps": [
      {
        "title": "Download & unzip",
        "detail": "Download the .zip package from SkillVault and unzip it. The x-twitter-growth/ folder contains SKILL.md plus any companion scripts, references and assets."
      },
      {
        "title": "Copy into your agent skills directory",
        "detail": "Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code), .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or reload the session."
      },
      {
        "title": "Use it",
        "detail": "Describe the task in natural language; the agent loads the skill automatically when the request matches the skill description."
      }
    ]
  },
  "usage": {
    "steps": []
  },
  "metadata": {
    "author": "SkillVault",
    "source": "https://skillvault.top/skills/x-twitter-growth",
    "exported_at": "2026-11-03T07:45:13.866Z"
  }
}

format: aiskill/v1
skill:
  name: x-twitter-growth
  slug: x-twitter-growth
  version: 1.0.0
  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.
  category: Marketing
  tags:
    - marketing-growth
    - research
    - performance
    - growth
  platforms:
    - chatgpt
    - claude-code
    - cursor
  tested_environment: >-
    Agent Skills convention (SKILL.md) — works with Claude Code, Cursor, ChatGPT/Codex and
    compatible agents
  license: MIT
prompts:
  system: "# X/Twitter Growth Engine\r\n\r\nX-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.\r\n\r\n## When to Use This vs Other Skills\r\n\r\n| Need | Use |\r\n|------|-----|\r\n| Write a tweet or thread | **This skill** |\r\n| Plan content across LinkedIn + X + Instagram | social-content |\r\n| Analyze engagement metrics across platforms | social-media-analyzer |\r\n| Build overall social strategy | social-media-manager |\r\n| X-specific growth, algorithm, competitive intel | **This skill** |\r\n\r\n---\r\n\r\n## Step 1 — Profile Audit\r\n\r\nBefore any growth work, audit the current X presence. Run `scripts/profile_auditor.py` with the handle, or manually assess:\r\n\r\n### Bio Checklist\r\n- [ ] Clear value proposition in first line (who you help + how)\r\n- [ ] Specific niche — not \"entrepreneur | thinker | builder\"\r\n- [ ] Social proof element (followers, title, metric, brand)\r\n- [ ] CTA or link (newsletter, product, site)\r\n- [ ] No hashtags in bio (signals amateur)\r\n\r\n### Pinned Tweet\r\n- [ ] Exists and is less than 30 days old\r\n- [ ] Showcases best work or strongest hook\r\n- [ ] Has clear CTA (follow, subscribe, read)\r\n\r\n### Recent Activity (last 30 posts)\r\n- [ ] Posting frequency: minimum 1x/day, ideal 3-5x/day\r\n- [ ] Mix of formats: tweets, threads, replies, quotes\r\n- [ ] Reply ratio: >30% of activity should be replies\r\n- [ ] Engagement trend: improving, flat, or declining\r\n\r\nRun: `python3 scripts/profile_auditor.py --handle @username`\r\n\r\n---\r\n\r\n## Step 2 — Competitive Intelligence\r\n\r\nResearch competitors and successful accounts in your niche using web search.\r\n\r\n### Process\r\n1. Search `site:x.com \"topic\" min_faves:100` via Brave to find high-performing content\r\n2. Identify 5-10 accounts in your niche with strong engagement\r\n3. For each, analyze: posting frequency, content types, hook patterns, engagement rates\r\n4. Run: `python3 scripts/competitor_analyzer.py --handles @acc1 @acc2 @acc3`\r\n\r\n### What to Extract\r\n- **Hook patterns** — How do top posts start? Question? Bold claim? Statistic?\r\n- **Content themes** — What 3-5 topics get the most engagement?\r\n- **Format mix** — Ratio of tweets vs threads vs replies vs quotes\r\n- **Posting times** — When do their best posts go out?\r\n- **Engagement triggers** — What makes people reply vs like vs retweet?\r\n\r\n---\r\n\r\n## Step 3 — Content Creation\r\n\r\n### Tweet Types (ordered by growth impact)\r\n\r\n#### 1. Threads (highest reach, highest follow conversion)\r\n```\r\nStructure:\r\n- Tweet 1: Hook — must stop the scroll in <7 words\r\n- Tweet 2: Context or promise (\"Here's what I learned:\")\r\n- Tweets 3-N: One idea per tweet, each standalone-worthy\r\n- Final tweet: Summary + explicit CTA (\"Follow @handle for more\")\r\n- Reply to tweet 1: Restate hook + \"Follow for more [topic]\"\r\n\r\nRules:\r\n- 5-12 tweets optimal (under 5 feels thin, over 12 loses people)\r\n- Each tweet should make sense if read alone\r\n- Use line breaks for readability\r\n- No tweet should be a wall of text (3-4 lines max)\r\n- Number the tweets or use \"↓\" in tweet 1\r\n```\r\n\r\n#### 2. Atomic Tweets (breadth, impression farming)\r\n```\r\nFormats that work:\r\n- Observation: \"[Thing] is underrated. Here's why:\"\r\n- Listicle: \"10 tools I use daily:\\n\\n1. X — for Y\"\r\n- Contrarian: \"Unpopular opinion: [statement]\"\r\n- Lesson: \"I [did X] for [time]. Biggest lesson:\"\r\n- Framework: \"[Concept] explained in 30 seconds:\"\r\n\r\nRules:\r\n- Under 200 characters gets more engagement\r\n- One idea per tweet\r\n- No links in tweet body (kills reach — put link in reply)\r\n- Question tweets drive replies (algorithm loves replies)\r\n```\r\n\r\n#### 3. Quote Tweets (authority building)\r\n```\r\nFormula: Original tweet + your unique take\r\n- Add data the original missed\r\n- Provide counterpoint or nuance\r\n- Share personal experience that validates/contradicts\r\n- Never just say \"This\" or \"So true\"\r\n```\r\n\r\n#### 4. Replies (network growth, fastest path to visibility)\r\n```\r\nStrategy:\r\n- Reply to accounts 2-10x your size\r\n- Add genuine value, not \"great post!\"\r\n- Be first to reply on accounts with large audiences\r\n- Your reply IS your content — make it tweet-worthy\r\n- Controversial/insightful replies get quote-tweeted (free reach)\r\n```\r\n\r\nRun: `python3 scripts/tweet_composer.py --type thread --topic \"your topic\" --audience \"your audience\"`\r\n\r\n---\r\n\r\n## Step 4 — Algorithm Mechanics\r\n\r\n### What X rewards (2025-2026)\r\n| Signal | Weight | Action |\r\n|--------|--------|--------|\r\n| Replies received | Very high | Write reply-worthy content (questions, debates) |\r\n| Time spent reading | High | Threads, longer tweets with line breaks |\r\n| Profile visits from tweet | High | Curiosity gaps, tease expertise |\r\n| Bookmarks | High | Tactical, save-worthy content (lists, frameworks) |\r\n| Retweets/Quotes | Medium | Shareable insights, bold takes |\r\n| Likes | Low-medium | Easy agreement, relatable content |\r\n| Link clicks | Low (penalized) | Never put links in tweet body — use reply |\r\n\r\n### What kills reach\r\n- Links in tweet body (put in first reply instead)\r\n- Editing tweets within 30 min of posting\r\n- Posting and immediately going offline (no early engagement)\r\n- More than 2 hashtags\r\n- Tagging people who don't engage back\r\n- Threads with inconsistent quality (one weak tweet tanks the whole thread)\r\n\r\n### Optimal Posting Cadence\r\n| Account size | Tweets/day | Threads/week | Replies/day |\r\n|-------------|------------|--------------|-------------|\r\n| < 1K followers | 2-3 | 1-2 | 10-20 |\r\n| 1K-10K | 3-5 | 2-3 | 5-15 |\r\n| 10K-50K | 3-7 | 2-4 | 5-10 |\r\n| 50K+ | 2-5 | 1-3 | 5-10 |\r\n\r\n---\r\n\r\n## Step 5 — Growth Playbook\r\n\r\n### Week 1-2: Foundation\r\n1. Optimize bio and pinned tweet (Step 1)\r\n2. Identify 20 accounts in your niche to engage with daily\r\n3. Reply 10-20 times per day to larger accounts (genuine value only)\r\n4. Post 2-3 atomic tweets per day testing different formats\r\n5. Publish 1 thread\r\n\r\n### Week 3-4: Pattern Recognition\r\n1. Review what formats got most engagement\r\n2. Double down on top 2 content formats\r\n3. Increase to 3-5 posts per day\r\n4. Publish 2-3 threads per week\r\n5. Start quote-tweeting relevant content daily\r\n\r\n### Month 2+: Scale\r\n1. Develop 3-5 recurring content series (e.g., \"Friday Framework\")\r\n2. Cross-pollinate: repurpose threads as LinkedIn posts, newsletter content\r\n3. Build reply relationships with 5-10 accounts your size (mutual engagement)\r\n4. Experiment with spaces/audio if relevant to niche\r\n5. Run: `python3 scripts/growth_tracker.py --handle @username --period 30d`\r\n\r\n---\r\n\r\n## Step 6 — Content Calendar Generation\r\n\r\nRun: `python3 scripts/content_planner.py --niche \"your niche\" --frequency 5 --weeks 2`\r\n\r\nGenerates a 2-week posting plan with:\r\n- Daily tweet topics with hook suggestions\r\n- Thread outlines (2-3 per week)\r\n- Reply targets (accounts to engage with)\r\n- Optimal posting times based on niche\r\n\r\n---\r\n\r\n## Scripts\r\n\r\n| Script | Purpose |\r\n|--------|---------|\r\n| `scripts/profile_auditor.py` | Audit X profile: bio, pinned, activity patterns |\r\n| `scripts/tweet_composer.py` | Generate tweets/threads with hook patterns |\r\n| `scripts/competitor_analyzer.py` | Analyze competitor accounts via web search |\r\n| `scripts/content_planner.py` | Generate weekly/monthly content calendars |\r\n| `scripts/growth_tracker.py` | Track follower growth and engagement trends |\r\n\r\n## Common Pitfalls\r\n\r\n1. **Posting links directly** — Always put links in the first reply, never in the tweet body\r\n2. **Thread tweet 1 is weak** — If the hook doesn't stop scrolling, nothing else matters\r\n3. **Inconsistent posting** — Algorithm rewards daily consistency over occasional bangers\r\n4. **Only broadcasting** — Replies and engagement are 50%+ of growth, not just posting\r\n5. **Generic bio** — \"Helping people do things\" tells nobody anything\r\n6. **Copying formats without adapting** — What works for tech Twitter doesn't work for marketing Twitter\r\n\r\n## Related Skills\r\n\r\n- `social-content` — Multi-platform content creation\r\n- `social-media-manager` — Overall social strategy\r\n- `social-media-analyzer` — Cross-platform analytics\r\n- `content-production` — Long-form content that feeds X threads\r\n- `copywriting` — Headline and hook writing techniques"
  user_template: ""
variables: []
install:
  steps:
    - title: Download & unzip
      detail: >-
        Download the .zip package from SkillVault and unzip it. The x-twitter-growth/ folder
        contains SKILL.md plus any companion scripts, references and assets.
    - title: Copy into your agent skills directory
      detail: >-
        Move the folder into your agent's skills directory — e.g. ~/.claude/skills/ (Claude Code),
        .codex/skills/, .cursor/skills/ or your project's .claude/skills/ folder — then restart or
        reload the session.
    - title: Use it
      detail: >-
        Describe the task in natural language; the agent loads the skill automatically when the
        request matches the skill description.
usage:
  steps: []
metadata:
  author: SkillVault
  source: https://skillvault.top/skills/x-twitter-growth
  exported_at: "2026-11-03T07:45:13.866Z"