docs: integrate x-twitter-growth across plugin ecosystem and documentation
- Sync Gemini CLI (208 items), verify Codex CLI (151 skills) - Update marketplace.json: 151 packages, marketing 43, tools 245 - Update marketing plugin.json with X/Twitter growth, 43 skills - Update CLAUDE.md, README.md, docs/index.md, getting-started.md counts (172 skills, 245 tools, 344 references) - Add x-twitter-growth to marketing CLAUDE.md skill map - Add x-twitter-growth docs page and mkdocs.yml nav entry - Regenerate 207 MkDocs pages, build verified Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Reza Rezvani
@@ -73,7 +73,7 @@ Choose your platform and follow the steps:
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| **Engineering Core** | `/plugin install engineering-skills@claude-code-skills` | 23 |
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| **Engineering POWERFUL** | `/plugin install engineering-advanced-skills@claude-code-skills` | 25 |
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| **Product** | `/plugin install product-skills@claude-code-skills` | 8 |
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| **Marketing** | `/plugin install marketing-skills@claude-code-skills` | 42 |
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| **Marketing** | `/plugin install marketing-skills@claude-code-skills` | 43 |
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| **Regulatory & Quality** | `/plugin install ra-qm-skills@claude-code-skills` | 12 |
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| **Project Management** | `/plugin install pm-skills@claude-code-skills` | 6 |
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| **C-Level Advisory** | `/plugin install c-level-skills@claude-code-skills` | 28 |
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@@ -112,7 +112,7 @@ AI-augmented development. Optimize for SEO.
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## Python Tools
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All 240 tools use the standard library only — zero pip installs, all verified.
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All 245 tools use the standard library only — zero pip installs, all verified.
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```bash
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# Security audit a skill before installing
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@@ -1,6 +1,6 @@
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---
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title: Claude Code Skills & Plugins
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description: "171 production-ready skills, 14 agents, and 14 commands for Claude Code, OpenAI Codex, Gemini CLI, and OpenClaw."
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description: "172 production-ready skills, 14 agents, and 14 commands for Claude Code, OpenAI Codex, Gemini CLI, and OpenClaw."
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hide:
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- toc
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- edit
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@@ -14,7 +14,7 @@ hide:
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# Claude Code Skills
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171 production-ready skills that transform AI coding agents into specialized professionals.
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172 production-ready skills that transform AI coding agents into specialized professionals.
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{ .hero-subtitle }
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**Claude Code** | **OpenAI Codex** | **Gemini CLI** | **OpenClaw**
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@@ -27,13 +27,13 @@ hide:
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<div class="grid cards" markdown>
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- :material-counter:{ .lg .middle } **171**
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- :material-counter:{ .lg .middle } **172**
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---
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Production-ready skills
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- :material-language-python:{ .lg .middle } **240**
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- :material-language-python:{ .lg .middle } **245**
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---
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@@ -87,9 +87,9 @@ hide:
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---
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Content, SEO, CRO, channels, growth, intelligence, sales — 7 specialist pods with 27 Python tools
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Content, SEO, CRO, channels, growth, intelligence, sales, X/Twitter — 7 specialist pods with 32 Python tools
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[:octicons-arrow-right-24: 42 skills](skills/marketing-skill/)
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[:octicons-arrow-right-24: 43 skills](skills/marketing-skill/)
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- :material-clipboard-check:{ .lg .middle } **Project Management**
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@@ -5,7 +5,7 @@ description: "All Marketing skills for Claude Code, OpenAI Codex, and OpenClaw."
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# Marketing Skills
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43 skills in this domain.
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44 skills in this domain.
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| Skill | Description |
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|-------|-------------|
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@@ -52,3 +52,4 @@ description: "All Marketing skills for Claude Code, OpenAI Codex, and OpenClaw."
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| [Social Content](social-content.md) | `social-content` |
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| [Social Media Analyzer](social-media-analyzer.md) | `social-media-analyzer` |
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| [Social Media Manager](social-media-manager.md) | `social-media-manager` |
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| [X/Twitter Growth Engine](x-twitter-growth.md) | `x-twitter-growth` |
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docs/skills/marketing-skill/x-twitter-growth.md
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docs/skills/marketing-skill/x-twitter-growth.md
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---
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title: "X/Twitter Growth Engine"
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description: "X/Twitter Growth Engine - Claude Code skill from the Marketing domain."
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---
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# X/Twitter Growth Engine
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**Domain:** Marketing | **Skill:** `x-twitter-growth` | **Source:** [`marketing-skill/x-twitter-growth/SKILL.md`](https://github.com/alirezarezvani/claude-skills/tree/main/marketing-skill/x-twitter-growth/SKILL.md)
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---
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# X/Twitter Growth Engine
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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.
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## When to Use This vs Other Skills
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| Need | Use |
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|------|-----|
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| Write a tweet or thread | **This skill** |
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| Plan content across LinkedIn + X + Instagram | social-content |
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| Analyze engagement metrics across platforms | social-media-analyzer |
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| Build overall social strategy | social-media-manager |
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| X-specific growth, algorithm, competitive intel | **This skill** |
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---
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## Step 1 — Profile Audit
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Before any growth work, audit the current X presence. Run `scripts/profile_auditor.py` with the handle, or manually assess:
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### Bio Checklist
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- [ ] Clear value proposition in first line (who you help + how)
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- [ ] Specific niche — not "entrepreneur | thinker | builder"
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- [ ] Social proof element (followers, title, metric, brand)
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- [ ] CTA or link (newsletter, product, site)
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- [ ] No hashtags in bio (signals amateur)
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### Pinned Tweet
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- [ ] Exists and is less than 30 days old
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- [ ] Showcases best work or strongest hook
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- [ ] Has clear CTA (follow, subscribe, read)
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### Recent Activity (last 30 posts)
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- [ ] Posting frequency: minimum 1x/day, ideal 3-5x/day
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- [ ] Mix of formats: tweets, threads, replies, quotes
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- [ ] Reply ratio: >30% of activity should be replies
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- [ ] Engagement trend: improving, flat, or declining
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Run: `python3 scripts/profile_auditor.py --handle @username`
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---
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## Step 2 — Competitive Intelligence
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Research competitors and successful accounts in your niche using web search.
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### Process
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1. Search `site:x.com "topic" min_faves:100` via Brave to find high-performing content
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2. Identify 5-10 accounts in your niche with strong engagement
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3. For each, analyze: posting frequency, content types, hook patterns, engagement rates
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4. Run: `python3 scripts/competitor_analyzer.py --handles @acc1 @acc2 @acc3`
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### What to Extract
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- **Hook patterns** — How do top posts start? Question? Bold claim? Statistic?
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- **Content themes** — What 3-5 topics get the most engagement?
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- **Format mix** — Ratio of tweets vs threads vs replies vs quotes
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- **Posting times** — When do their best posts go out?
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- **Engagement triggers** — What makes people reply vs like vs retweet?
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---
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## Step 3 — Content Creation
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### Tweet Types (ordered by growth impact)
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#### 1. Threads (highest reach, highest follow conversion)
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```
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Structure:
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- Tweet 1: Hook — must stop the scroll in <7 words
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- Tweet 2: Context or promise ("Here's what I learned:")
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- Tweets 3-N: One idea per tweet, each standalone-worthy
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- Final tweet: Summary + explicit CTA ("Follow @handle for more")
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- Reply to tweet 1: Restate hook + "Follow for more [topic]"
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Rules:
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- 5-12 tweets optimal (under 5 feels thin, over 12 loses people)
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- Each tweet should make sense if read alone
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- Use line breaks for readability
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- No tweet should be a wall of text (3-4 lines max)
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- Number the tweets or use "↓" in tweet 1
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```
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#### 2. Atomic Tweets (breadth, impression farming)
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```
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Formats that work:
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- Observation: "[Thing] is underrated. Here's why:"
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- Listicle: "10 tools I use daily:\n\n1. X — for Y"
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- Contrarian: "Unpopular opinion: [statement]"
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- Lesson: "I [did X] for [time]. Biggest lesson:"
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- Framework: "[Concept] explained in 30 seconds:"
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Rules:
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- Under 200 characters gets more engagement
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- One idea per tweet
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- No links in tweet body (kills reach — put link in reply)
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- Question tweets drive replies (algorithm loves replies)
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```
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#### 3. Quote Tweets (authority building)
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```
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Formula: Original tweet + your unique take
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- Add data the original missed
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- Provide counterpoint or nuance
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- Share personal experience that validates/contradicts
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- Never just say "This" or "So true"
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```
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#### 4. Replies (network growth, fastest path to visibility)
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```
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Strategy:
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- Reply to accounts 2-10x your size
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- Add genuine value, not "great post!"
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- Be first to reply on accounts with large audiences
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- Your reply IS your content — make it tweet-worthy
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- Controversial/insightful replies get quote-tweeted (free reach)
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```
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Run: `python3 scripts/tweet_composer.py --type thread --topic "your topic" --audience "your audience"`
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---
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## Step 4 — Algorithm Mechanics
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### What X rewards (2025-2026)
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| Signal | Weight | Action |
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|--------|--------|--------|
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| Replies received | Very high | Write reply-worthy content (questions, debates) |
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| Time spent reading | High | Threads, longer tweets with line breaks |
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| Profile visits from tweet | High | Curiosity gaps, tease expertise |
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| Bookmarks | High | Tactical, save-worthy content (lists, frameworks) |
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| Retweets/Quotes | Medium | Shareable insights, bold takes |
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| Likes | Low-medium | Easy agreement, relatable content |
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| Link clicks | Low (penalized) | Never put links in tweet body — use reply |
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### What kills reach
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- Links in tweet body (put in first reply instead)
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- Editing tweets within 30 min of posting
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- Posting and immediately going offline (no early engagement)
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- More than 2 hashtags
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- Tagging people who don't engage back
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- Threads with inconsistent quality (one weak tweet tanks the whole thread)
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### Optimal Posting Cadence
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| Account size | Tweets/day | Threads/week | Replies/day |
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|-------------|------------|--------------|-------------|
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| < 1K followers | 2-3 | 1-2 | 10-20 |
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| 1K-10K | 3-5 | 2-3 | 5-15 |
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| 10K-50K | 3-7 | 2-4 | 5-10 |
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| 50K+ | 2-5 | 1-3 | 5-10 |
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---
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## Step 5 — Growth Playbook
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### Week 1-2: Foundation
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1. Optimize bio and pinned tweet (Step 1)
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2. Identify 20 accounts in your niche to engage with daily
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3. Reply 10-20 times per day to larger accounts (genuine value only)
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4. Post 2-3 atomic tweets per day testing different formats
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5. Publish 1 thread
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### Week 3-4: Pattern Recognition
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1. Review what formats got most engagement
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2. Double down on top 2 content formats
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3. Increase to 3-5 posts per day
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4. Publish 2-3 threads per week
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5. Start quote-tweeting relevant content daily
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### Month 2+: Scale
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1. Develop 3-5 recurring content series (e.g., "Friday Framework")
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2. Cross-pollinate: repurpose threads as LinkedIn posts, newsletter content
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3. Build reply relationships with 5-10 accounts your size (mutual engagement)
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4. Experiment with spaces/audio if relevant to niche
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5. Run: `python3 scripts/growth_tracker.py --handle @username --period 30d`
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---
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## Step 6 — Content Calendar Generation
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Run: `python3 scripts/content_planner.py --niche "your niche" --frequency 5 --weeks 2`
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Generates a 2-week posting plan with:
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- Daily tweet topics with hook suggestions
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- Thread outlines (2-3 per week)
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- Reply targets (accounts to engage with)
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- Optimal posting times based on niche
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---
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## Scripts
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| Script | Purpose |
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|--------|---------|
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| `scripts/profile_auditor.py` | Audit X profile: bio, pinned, activity patterns |
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| `scripts/tweet_composer.py` | Generate tweets/threads with hook patterns |
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| `scripts/competitor_analyzer.py` | Analyze competitor accounts via web search |
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| `scripts/content_planner.py` | Generate weekly/monthly content calendars |
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| `scripts/growth_tracker.py` | Track follower growth and engagement trends |
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## Common Pitfalls
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1. **Posting links directly** — Always put links in the first reply, never in the tweet body
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2. **Thread tweet 1 is weak** — If the hook doesn't stop scrolling, nothing else matters
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3. **Inconsistent posting** — Algorithm rewards daily consistency over occasional bangers
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4. **Only broadcasting** — Replies and engagement are 50%+ of growth, not just posting
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5. **Generic bio** — "Helping people do things" tells nobody anything
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6. **Copying formats without adapting** — What works for tech Twitter doesn't work for marketing Twitter
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## Related Skills
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- `social-content` — Multi-platform content creation
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- `social-media-manager` — Overall social strategy
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- `social-media-analyzer` — Cross-platform analytics
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- `content-production` — Long-form content that feeds X threads
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- `copywriting` — Headline and hook writing techniques
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