Agent skill

X Twitter Growth

by alirezarezvani in alirezarezvani/claude-skills

X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement.

MITAuto-check passedWriting & Content

Install X Twitter Growth

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill x-twitter-growth -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alirezarezvani/claude-skills x-twitter-growth --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing-skill/skills/x-twitter-growth .claude/skills/x-twitter-growth && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
x-twitter-growth
GitHub stars
28k
Used in
1 other repo
Token cost
~2.2k tokens
SKILL.md length
812 words
Files
8 (incl. scripts, references)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement.

  • Works in 6 steps: Profile Audit → Competitive Intelligence → Content Creation → …
  • The user wants to grow on X/Twitter
  • SKILL.md covers When to Use This vs Other Skills, Step 1 — Profile Audit, Step 2 — Competitive… and Step 3 — Content Creation, plus 6 more sections
  • Runs Python scripts from its folder; calls python3

What it does

X Twitter Growth is an agent skill from alirezarezvani/claude-skills. 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.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/algorithm-signals.md`, `scripts/competitor_analyzer.py` and `scripts/content_planner.py`).

It sits in Writing & Content, covering Social media posts and Competitor analysis. It works with X (Twitter). The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

  • The user wants to grow on X/Twitter
  • Analyze their X profile
  • Research competitors on X
  • Plan a posting strategy

Example prompts

  • “/x-twitter-growth”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Profile Audit
  2. Competitive Intelligence
  3. Content Creation
  4. Algorithm Mechanics
  5. Growth Playbook
  6. Content Calendar Generation

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 5 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

X Twitter Growth loads about 2.2k tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 812 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~121
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 812 words, ~2,154 tokens.

Download SKILL.mdSave it as .claude/skills/x-twitter-growth/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
x-twitter-growth
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.
license
MIT
metadata.version
1.0.0
metadata.author
Alireza Rezvani
metadata.category
marketing
metadata.updated
2026-03-10

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
  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)
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

Show full SKILL.md (325 more words)Show less

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

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

  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
  • 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

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (scripts, references) in marketing-skill/skills/x-twitter-growth of alirezarezvani/claude-skills.

  • SKILL.md
  • .gitignore
  • references/algorithm-signals.md
  • scripts/competitor_analyzer.py
  • scripts/content_planner.py
  • scripts/growth_tracker.py
  • scripts/profile_auditor.py
  • scripts/tweet_composer.py

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

X Twitter Growth next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

X Twitter Growth compared with similar skills
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X Twitter Growth this skillalirezarezvani/claude-skills28k1 repos~2.2kAutomated safety check: PassMIT
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Getxapi ConnectLeoYeAI/openclaw-marketing-skills1k1 repos~715Automated safety check: PassCustom licence
X Twitter ConnectLeoYeAI/openclaw-marketing-skills1k1 repos~1.6kAutomated safety check: PassCustom licence
Socialcoreyhaines31/marketingskills54k4 repos~4.5kAutomated safety check: PassMIT
Social Contentfreekmurze/dotfiles1k23 repos~2.1kAutomated safety check: PassNone

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Works with

Questions about X Twitter Growth

What does X Twitter Growth do?

X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. X Twitter Growth is an agent skill from alirezarezvani/claude-skills. X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement.

When should I use X Twitter Growth?

X Twitter Growth fits situations like: the user wants to grow on X/Twitter; analyze their X profile; research competitors on X; plan a posting strategy.

How do I install X Twitter Growth in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill x-twitter-growth -a claude-code`. Or copy the skill folder (marketing-skill/skills/x-twitter-growth in alirezarezvani/claude-skills) into .claude/skills/x-twitter-growth in your project. Claude Code loads it when a task matches its description.

How do I install X Twitter Growth in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill x-twitter-growth -a codex`. Or copy the skill folder (marketing-skill/skills/x-twitter-growth in alirezarezvani/claude-skills) into .agents/skills/x-twitter-growth in your project. Codex loads it when a task matches its description.

Can I use X Twitter Growth in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alirezarezvani/claude-skills --skill x-twitter-growth -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/x-twitter-growth, .gemini/skills/x-twitter-growth, .github/skills/x-twitter-growth and .opencode/skills/x-twitter-growth in your project.

What does X Twitter Growth need to run?

Going by SKILL.md and its folder, X Twitter Growth needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does X Twitter Growth access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is X Twitter Growth safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does X Twitter Growth use?

X Twitter Growth is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does X Twitter Growth use?

About 2.2k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 706 tokens, read only when the agent opens those files.

What are the alternatives to X Twitter Growth?

Skills that share tags, products or a category with X Twitter Growth: X Founder Operations (LeoYeAI/openclaw-master-skills, 2.2k stars), Getxapi Connect (LeoYeAI/openclaw-marketing-skills, 1k stars), X Twitter Connect (LeoYeAI/openclaw-marketing-skills, 1k stars) and Social (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains X Twitter Growth?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,938 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.