PromptShop

X Twitter Growth

This skill focuses specifically on growing a presence on X (Twitter). It provides tools and guidance for profile audits, competitive intelligence, and content

Install

npx promptshop add x-twitter-growth

Details

What This Skill Does

  • This skill focuses specifically on growing a presence on X (Twitter).
  • It provides tools and guidance for profile audits, competitive intelligence, and content optimization to improve engagement and follower growth.
  • It's designed for users who want to maximize their impact on the X platform.

When to Use

  • Audit an X (Twitter) profile.
  • Research competitors on X.
  • Identify high-performing content on X.
  • Optimize X bio and pinned tweet.
  • Analyze engagement rates on X.
  • Improve X posting frequency and content mix.

Key Features

  • Performs profile audits to identify areas for improvement.
  • Conducts competitive intelligence to understand successful strategies.
  • Analyzes posting frequency, content types, and hook patterns.
  • Provides guidance on optimizing bio, pinned tweet, and recent activity.
  • Offers X-specific growth strategies.
  • Differentiates itself from general social media skills.

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

NeedUse
Write a tweet or threadThis skill
Plan content across LinkedIn + X + Instagramsocial-content
Analyze engagement metrics across platformssocial-media-analyzer
Build overall social strategysocial-media-manager
X-specific growth, algorithm, competitive intelThis 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:100 via 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)

SignalWeightAction
Replies receivedVery highWrite reply-worthy content (questions, debates)
Time spent readingHighThreads, longer tweets with line breaks
Profile visits from tweetHighCuriosity gaps, tease expertise
BookmarksHighTactical, save-worthy content (lists, frameworks)
Retweets/QuotesMediumShareable insights, bold takes
LikesLow-mediumEasy agreement, relatable content
Link clicksLow (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 sizeTweets/dayThreads/weekReplies/day
< 1K followers2-31-210-20
1K-10K3-52-35-15
10K-50K3-72-45-10
50K+2-51-35-10

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

ScriptPurpose
scripts/profile_auditor.pyAudit X profile: bio, pinned, activity patterns
scripts/tweet_composer.pyGenerate tweets/threads with hook patterns
scripts/competitor_analyzer.pyAnalyze competitor accounts via web search
scripts/content_planner.pyGenerate weekly/monthly content calendars
scripts/growth_tracker.pyTrack 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