Automate Twitter/X Growth and Content Strategy

What problem does this solve?

Runs Twitter/X automation without API keys or detectable browsers. It uses rnet's TLS fingerprint emulation to access Twitter's internal GraphQL API directly from your browser cookies, bypassing Cloudflare blocks and API rate limits. Most existing tools either cost $100+/month in API fees or get detected and blocked by Twitter's anti-automation measures.

How does it work?

Once installed, you trigger skills by command or natural language. 1. Account Cultivation: check account health metrics (TweepCred, shadowban status), get unfollow recommendations, find engagement opportunities. 2. Keyword Intelligence: search 200+ tweets by keyword, filter by engagement, analyze trends over time. 3. Content Strategy: research viral patterns in your niche, adapt templates to your voice, generate threads and posting schedules. All three share the same underlying rnet_twitter.py client, so you can layer them together or use individually.

Included Skill Groups

What's the biggest win?

Tweet automation that costs nothing and doesn't get blocked, because it uses TLS fingerprint emulation instead of API keys or browsers.

What should I know technically?

Requires Python 3.8+, rnet library (Rust-based, pip install rnet>=3.0.0rc20 --pre), and rnet_twitter.py (included). Twitter cookies must be exported to twitter_cookies.json in {name, value} format. SearchTimeline endpoint requires POST (GET returns 404); this is handled automatically by rnet_twitter.py.

What should I watch out for?

Cookies expire after ~2 weeks. You'll need to refresh auth_token and ct0 from DevTools when requests return 403 errors. GraphQL query IDs rotate periodically; if search breaks, you must extract the new SearchTimeline ID from Twitter's client JS and update the endpoint in rnet_twitter.py. Rate limits are ~300 requests per 15-minute window, which is safe for regular use but not for massive-scale automation.

Key Features