Agent skill

X Twitter Growth

by borghei in borghei/Claude-Skills

This skill should be used when the user asks to "analyze tweets", "grow on Twitter", "build Twitter threads", "optimize X posting schedule", "track follower growth", "improve tweet engagement", or…

MITAuto-check passedWriting & Content

Install X Twitter Growth

skills CLI
$ npx skills add borghei/Claude-Skills --skill x-twitter-growth -a claude-code

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

GitHub CLI
$ gh skill install borghei/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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/marketing/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
891
Token cost
~1.2k tokens
SKILL.md length
401 words
Files
6 (incl. scripts, references)
Skills in repo
354
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user asks to "analyze tweets", "grow on Twitter", "build Twitter threads", "optimize X posting schedule", "track follower growth", "improve tweet engagement", or…

  • Works in 5 steps: Export tweet data from X Analytics or… → Run tweet_analyzer.py to identify… → Identify which content types, formats,… → …
  • Asks to analyze tweets
  • SKILL.md covers Overview, Clarify First, Quick Start and Tools Overview, plus 3 more sections
  • Runs Python scripts from its folder; calls python

What it does

X Twitter Growth is an agent skill from borghei/Claude-Skills. This skill should be used when the user asks to "analyze tweets", "grow on Twitter", "build Twitter threads", "optimize X posting schedule", "track follower growth", "improve tweet engagement", or "create a Twitter content strategy".

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/x-growth-playbook.md`, `scripts/growth_tracker.py` and `scripts/thread_builder.py`).

It sits in Writing & Content, covering Social media posts and Content strategy. It works with X (Twitter). The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Asks to analyze tweets
  • Grow on Twitter
  • Build Twitter threads
  • Optimize X posting schedule

Example prompts

  • “analyze tweets”
  • “grow on Twitter”
  • “build Twitter threads”
  • “/x-twitter-growth”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Export tweet data from X Analytics or third-party tool as CSV
  2. Run tweet_analyzer.py to identify top-performing patterns
  3. Identify which content types, formats, and topics drive engagement
  4. Use insights to refine content strategy and posting schedule
  5. Re-audit monthly to track improvement

What it can do on your machine

Read from SKILL.md and the folder at commit 4a698e8. 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 3 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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 1.2k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 401 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.8k

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 borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 401 words, ~1,169 tokens.

Download SKILL.mdSave it as .claude/skills/x-twitter-growth/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
x-twitter-growth
description
This skill should be used when the user asks to "analyze tweets", "grow on Twitter", "build Twitter threads", "optimize X posting schedule", "track follower growth", "improve tweet engagement", or "create a Twitter content strategy".
license
MIT + Commons Clause
metadata.version
1.0.0
metadata.author
borghei
metadata.category
marketing
metadata.domain
social-media
metadata.updated
2026-04-02
metadata.tags
twitter, x, social-media, engagement, threads, growth-hacking

X/Twitter Growth Skill

Overview

Production-ready X/Twitter growth toolkit for analyzing tweet performance patterns, structuring optimal threads, and tracking engagement metrics. Designed for creators, marketers, and brand accounts looking to grow audience and engagement systematically through data-driven content decisions.

Clarify First

Before generating, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Deliverable — content performance audit, thread building, or growth review — selects which tool runs
  • Data or source content — exported tweet/analytics CSV (for audits) or the long-form draft (for threads) — required input for the chosen tool
  • Niche & audience — the one topic and who you're growing — shapes the hook and content pillars
  • Growth goal — followers, engagement, or replies — sets which benchmark and CTA to optimize for

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Quick Start

bash
# Analyze tweet performance patterns from exported data
python scripts/tweet_analyzer.py tweets.csv

# Structure long-form content into optimal Twitter threads
python scripts/thread_builder.py content.txt --target-tweets 8

# Track follower growth, engagement rates, and best posting times
python scripts/growth_tracker.py analytics.csv --period monthly

Tools Overview

ToolPurposeInputOutput
tweet_analyzer.pyPerformance pattern analysisCSV with tweet dataEngagement patterns + insights
thread_builder.pyThread structuringText file or JSONFormatted thread + hooks
growth_tracker.pyGrowth & engagement trackingCSV with analytics dataGrowth report + best times

Workflows

Workflow 1: Content Performance Audit
  1. Export tweet data from X Analytics or third-party tool as CSV
  2. Run tweet_analyzer.py to identify top-performing patterns
  3. Identify which content types, formats, and topics drive engagement
  4. Use insights to refine content strategy and posting schedule
  5. Re-audit monthly to track improvement
Show full SKILL.md (162 more words)Show less
Workflow 2: Thread Creation Pipeline
  1. Draft long-form content in text or markdown format
  2. Run thread_builder.py to split into optimal thread structure
  3. Review hook tweet (tweet 1) for maximum engagement potential
  4. Add call-to-action and engagement hooks per recommendations
  5. Schedule using identified best posting times from growth_tracker.py
Workflow 3: Monthly Growth Review
  1. Export analytics data for the period
  2. Run growth_tracker.py --period monthly for growth metrics
  3. Run tweet_analyzer.py on the same period for content insights
  4. Compare engagement rates to prior period
  5. Identify top 5 tweets and extract replicable patterns

Reference Documentation

See references/x-growth-playbook.md for comprehensive strategies covering:

  • Content format frameworks
  • Engagement optimization tactics
  • Thread writing best practices
  • Algorithm understanding
  • Growth compounding strategies

Common Patterns

Pattern: Tweet Data CSV Format
csv
tweet_id,text,created_at,impressions,engagements,likes,retweets,replies,type,has_media
T001,"Here's what I learned...",2025-06-15 09:30:00,15000,850,320,95,45,thread_start,no
T002,"Check out this chart",2025-06-14 14:00:00,8500,420,180,35,22,single,yes
Pattern: Thread Content Input
text
# How I Grew to 50K Followers in 6 Months

The biggest lesson was consistency over virality. Here's the complete breakdown...

[Section 1: Finding Your Niche]
Most creators make the mistake of being too broad. Pick one topic and go deep...

[Section 2: Content Pillars]
I built 3 content pillars that I rotate through each week...
Engagement Rate Benchmarks
MetricLowAverageGoodExcellent
Engagement Rate< 1%1-3%3-6%> 6%
Reply Rate< 0.1%0.1-0.5%0.5-1%> 1%
Retweet Rate< 0.2%0.2-1%1-3%> 3%
Thread Completion< 20%20-40%40-60%> 60%

© borghei, 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 5 other files (scripts, references) in marketing/x-twitter-growth of borghei/Claude-Skills.

  • SKILL.md
  • examples/tweets.csv
  • references/x-growth-playbook.md
  • scripts/growth_tracker.py
  • scripts/thread_builder.py
  • scripts/tweet_analyzer.py

Open the folder on GitHubat commit 4a698e8

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 skillborghei/Claude-Skills891—~1.2kAutomated safety check: PassMIT
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X Algorithm Post Writingcarson2222/skills113—~3.8kAutomated safety check: PassApache-2.0
Podcast Pipelineericosiu/ai-marketing-skills3.6k1 repos~2.6kAutomated safety check: PassMIT
Social Media Managementmanojbajaj95/claude-gtm-plugin1051 repos~3.9kAutomated safety check: PassMIT

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Works with

Questions about X Twitter Growth

What does X Twitter Growth do?

This skill should be used when the user asks to "analyze tweets", "grow on Twitter", "build Twitter threads", "optimize X posting schedule", "track follower growth", "improve tweet engagement", or…. X Twitter Growth is an agent skill from borghei/Claude-Skills. This skill should be used when the user asks to "analyze tweets", "grow on Twitter", "build Twitter threads", "optimize X posting schedule", "track follower growth", "improve tweet engagement", or "create a Twitter content strategy".

When should I use X Twitter Growth?

X Twitter Growth fits situations like: asks to analyze tweets; grow on Twitter; build Twitter threads; optimize X posting schedule.

How do I install X Twitter Growth in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill x-twitter-growth -a claude-code`. Or copy the skill folder (marketing/x-twitter-growth in borghei/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 borghei/Claude-Skills --skill x-twitter-growth -a codex`. Or copy the skill folder (marketing/x-twitter-growth in borghei/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 borghei/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 (python). 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 1.2k tokens (SKILL.md is roughly 4.7k 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 1.6k 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 Content Planner (sergebulaev/x-skills, 124 stars), Twitter Hand Skill (RightNow-AI/openfang, 18k stars), X Algorithm Post Writing (carson2222/skills, 113 stars) and Podcast Pipeline (ericosiu/ai-marketing-skills, 3.6k 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?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 891 GitHub stars. The repository holds 354 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/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.