Grow Twitter Account Through Health Checks and Optimization

Gives you account health metrics in one pass so you can fix your following/follower ratio before Twitter's algorithm penalizes you. It checks TweepCred score, shadowban status, and content mix, then recommends which accounts to unfollow to improve your ratio from >5.0 (shadowbanned territory) toward <0.6 (healthy). Most accounts fail not because they tweet badly, but because their ratio kills algorithmic reach.

1. Analyze your profile (followers, following, tweet count, ratio calculation). 2. Get your recent 20 tweets and classify them by type (media, links, text-only, replies). 3. Check shadowban status and estimate TweepCred score based on ratio and PageRank. 4. Recommend 30-50 accounts to unfollow (inactive, non-reciprocal, or bot-like). 5. Find engagement opportunities in your niche (high-engagement tweets you can reply to). Output: a comprehensive health report with priority actions, an unfollow strategy (staggered across 4 weeks), and a list of reply targets to boost your engagement.

Requires rnet_twitter.py and twitter_cookies.json with auth_token and ct0. The skill fetches user profile via GraphQL, analyzes the 20 most recent tweets for content type, and runs up to 5 search queries (1 per niche keyword) to find engagement opportunities. Rate limit: ~20 requests total, safe for daily runs.