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x-twitter-growthx 推特增长

Agent Skill

x-twitter-growth 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

698

周安装

30

GitHub Stars

103

下载量

245
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:x-twitter-growth(x 推特增长)
来源仓库:https://github.com/borghei/claude-skills
仓库路径:skills/x-twitter-growth
安装命令:
npx skills add https://github.com/borghei/claude-skills --skill x-twitter-growth
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/borghei/claude-skills --skill x-twitter-growth

简介

用于 X/Twitter 内容增长分析与线程结构优化,提升 engagement。

  • 可分析推文表现模式并将长内容拆解为最优线程长度。
  • 支持 follower 增长与互动率追踪仪表盘生成。
  • 需导入历史推文 CSV 数据作为分析基础,不自动生成发布内容。
  • x-twitter-growth 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

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.

Quick Start

# 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

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

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

# 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%

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.04%
按下载量换算91

Claude

28.44%
按下载量换算70

Cursor

20.81%
按下载量换算51

Gemini CLI

10.18%
按下载量换算25

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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