phy-creator-watch_skill

Overview

This skill manages and analyzes a curated watchlist of Twitter/X creators for learning, research, and inspiration. It scrapes public creator content, imports posts into a database, and extracts high‑level patterns from top performing posts. The goal is to help you discover what topics, formats, and timing drive engagement across solopreneurs, thought leaders, and AI researchers.

How this skill works

The skill batch-scrapes specified creator accounts, saves raw JSON exports, and imports records into a structured database table. It runs SQL analysis to surface top posts, engagement rates, viral threads, time-of-day performance, and recurring topic patterns. A simple command workflow supports single-user scrapes, tiered batch runs, scheduled updates, and status reporting with rate-limit handling.

When to use it

• Build a learning feed of high-quality creators to follow or emulate
• Analyze a specific creator to extract content formats and hooks that work
• Maintain an archive of creator posts for research or competitive analysis
• Run periodic scrapes to keep engagement metrics and timing data up to date
• Validate topic ideas by checking historical performance across creators

Best practices

• Start with a limited scrape (50–200 posts) to verify data quality before large imports
• Respect rate limits: use 30s delay, max 10 users per session, and backoff on errors
• Prioritize Tier 1 creators weekly, Tier 2 bi-weekly, and Tier 3 monthly
• Store imported posts with timestamps and engagement metrics for time-based analysis
• Use normalized engagement metrics (likes/followers) when comparing creators

Example use cases

• Run 'analyze [creator]' to get top formats, topics, best posting times, and hook examples
• Batch-scrape a tier of solopreneurs to derive repeatable thread structures and opening lines
• Archive all posts from target creators for offline NLP topic modeling and trend detection
• Update the database before a content planning session to use latest viral examples
• Compare consistency scores across creators to identify reliable influencers for collaboration