business-ads

📁 nirholas/xactions 📅 Today
2
总安装量
1
周安装量
#67833
全站排名
安装命令
npx skills add https://github.com/nirholas/xactions --skill business-ads

Agent 安装分布

amp 1
cline 1
openclaw 1
opencode 1
cursor 1
kimi-cli 1

Skill 文档

Business & Ads Tools

Browser console scripts and automation for X/Twitter business intelligence and promotion.

Script Selection

Goal File Navigate to
Brand monitoring & sentiment src/businessTools.js Search results page
Audience insights src/businessTools.js x.com/USERNAME/followers
Competitor comparison src/businessTools.js Any profile page
A/B test tweet performance src/tweetABTester.js x.com/USERNAME
Auto-plug viral tweets src/autoPlugReplies.js x.com/USERNAME
Audience demographics src/audienceDemographics.js x.com/USERNAME/followers
Content performance src/tweetPerformance.js x.com/USERNAME

Business Tools

File: src/businessTools.js

Puppeteer-based module for business intelligence.

Functions

Function Purpose
monitorBrandMentions(page, brand, {limit, since}) Search mentions with sentiment
getAudienceInsights(page, username, {sampleSize}) Follower bio analysis
analyzeCompetitors(page, ['user1', 'user2']) Side-by-side comparison

Tweet A/B Testing

File: src/tweetABTester.js

Test tweet variations with statistical comparison.

Controls: XActions.createTest(name, textA, textB), XActions.setUrl(name, variant, url), XActions.measure(name), XActions.results(name)

Auto-Plug Replies

File: src/autoPlugReplies.js

Automatically reply to your viral tweets with promotional content.

Controls: XActions.setPlug(text), XActions.setThreshold(n), XActions.scan(), XActions.autoScan(ms)

Strategy Guide

Low-budget promotion (no ads spend)

  1. A/B test content styles with src/tweetABTester.js
  2. Set up src/autoPlugReplies.js to promote on viral tweets
  3. Find trends with src/trendingTopicMonitor.js for timely content
  4. Analyze audience with src/audienceDemographics.js for targeting
  5. Track results with src/tweetPerformance.js

Brand monitoring

  1. Use src/businessTools.js -> monitorBrandMentions() for sentiment
  2. Set up src/keywordMonitor.js for real-time brand mention alerts
  3. Export data for reporting

Notes

  • Sentiment analysis is keyword-based (not ML) — quick polarity assessment
  • A/B testing requires manually posting both tweet variants
  • No X Ads API integration — this is browser-side intelligence