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twitter-watch

Extract engagement metrics from Twitter posts and generate structured reports.

248|30|Updated Feb 18, 2026
Search Tags:#browser automation#report generation#twitter#social media analytics#engagement tracking#tweet metrics
One-click install
npx skills add https://github.com/cafe3310/public-agent-skills --skill twitter-watch
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: twitter-watch
Source: https://github.com/cafe3310/public-agent-skills/tree/main/skills/twitter-watch
Command: npx skills add https://github.com/cafe3310/public-agent-skills --skill twitter-watch

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agent-browser, python3, and includes scripts (resource) components.

What problem does it solve?

This Skill removes the manual effort of collecting Twitter post performance data by automatically gathering engagement metrics from multiple tweets and compiling them into a structured report.

Core Features & Use Cases

  • Engagement Data Extraction: Collects views, replies, reposts, likes, and bookmark counts from Twitter posts through browser automation.
  • Browser Session Reuse: Connects to a user's existing Chrome session to access logged-in tweet details and improve data accuracy.
  • Use Case: Monitor the performance of a campaign, product announcement, or public account by providing a list of tweet URLs and receiving a Markdown summary report.

Quick Start

Ask the Agent to monitor the Twitter links in your links.txt file and generate a report containing their engagement metrics.

Frequently Asked Questions about twitter-watch

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track Twitter engagement metrics automatically for multiple tweets?▼

To track Twitter engagement metrics automatically, you provide a list of tweet URLs to generate a structured Markdown performance report. The Skill uses browser automation to collect views, replies, reposts, likes, and bookmarks from each post.

Do I need a logged-in Chrome session to extract tweet metrics?▼

Yes, extracting tweet metrics requires a logged-in Chrome session. The Skill connects to your existing browser session via agent-browser to access detailed Twitter engagement data and ensure accurate social media monitoring.

Can I use Python to generate social media analytics reports for Twitter campaigns?▼

Yes, you can use Python tooling to generate social media analytics reports for Twitter campaigns. The Skill formats the collected engagement data into a structured performance report for campaign analysis.

What is the best way to monitor content performance across a list of tweet URLs?▼

The best way to monitor content performance is submitting a file of tweet URLs to the Agent. It automatically extracts interaction data and compiles a comprehensive Markdown summary report of tweet metrics.

What are the limitations of using browser automation for Twitter engagement tracking?▼

A limitation of using browser automation for Twitter engagement tracking is its dependency on an active logged-in Chrome session. Data extraction accuracy relies on the stability of the agent-browser connection during social media monitoring.

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