| name | twitter-cultivate |
| description | Twitter/X account cultivation and growth system. Checks account health (TweepCred, shadowban), analyzes tweets, finds engagement opportunities, recommends unfollows, and tracks progress. Triggers on "/twitter-cultivate", "check my twitter", "twitter health", "grow my twitter", "twitter maintenance", "fix my twitter reach". |
| inputs | [{"name":"twitter_handle","type":"string","required":true,"description":"Your Twitter/X handle (without @) to run cultivation on"}] |
| outputs | [{"name":"health_report","type":"json","description":"Account health metrics including TweepCred score, shadowban status, follower/following ratio"},{"name":"unfollow_recommendations","type":"list","description":"List of accounts recommended for unfollowing (inactive, non-reciprocal, or low-value)"},{"name":"opportunities","type":"list","description":"List of engagement opportunities — trending posts or accounts worth replying to"}] |
Twitter Account Cultivation Skill
Systematic approach to growing Twitter presence based on the open-source algorithm analysis.
Prerequisites
- Twikit installed (
pip install twikit)
- Twitter cookies exported to:
~/crawlee-social-scraper/twitter_cookies.json
(or wherever your Twikit setup lives — set TWIKIT_DIR env var)
- Your Twitter handle configured in state file
Core Metrics to Track
| Metric | Healthy Range | Impact |
|---|
| Following/Follower Ratio | < 0.6 | TweepCred score |
| Avg Views/Tweet | 20-40% of followers | Algorithm favor |
| Media Tweet % | > 50% | 10x engagement |
| Link Tweet % | < 20% | Avoid algorithm penalty |
| Reply Rate | Reply to 100% of comments | +75 weight boost |
Workflow: Full Health Check
Step 1: Analyze Account
cd ~/crawlee-social-scraper
source venv/bin/activate
python twitter_cultivate.py analyze <YOUR_USERNAME>
Step 2: Check Shadowban Status
python twitter_cultivate.py shadowban <YOUR_USERNAME>
Or manually check: shadowban.yuzurisa.com
Step 3: Analyze Following List
python twitter_cultivate.py unfollow-recs <YOUR_USERNAME> --limit 50
Recommends accounts to unfollow based on:
- No tweets in 90+ days (inactive)
- Never interacted with you (no value)
- Low follower count + high following (likely bots)
- No mutual engagement
Step 4: Find Engagement Opportunities
python twitter_cultivate.py opportunities --niche "AI,startup,founder"
Finds:
- Rising tweets in your niche to reply to
- Accounts similar to yours to engage with
- Trending topics you can contribute to
Step 5: Generate Weekly Report
python twitter_cultivate.py report
Account Health Scoring
Based on Twitter's open-source algorithm:
TweepCred Estimation
Score = PageRank × (1 / max(1, following/followers))
| Ratio | Estimated TweepCred | Algorithm Treatment |
|---|
| < 0.6 | 65+ (healthy) | All tweets considered |
| 0.6 - 2.0 | 40-65 | Limited consideration |
| 2.0 - 5.0 | 20-40 | Severe penalty |
| > 5.0 | < 20 | Only 3 tweets max |
Unfollow Strategy
Priority 1: Inactive Accounts
- No tweets in 90+ days
- Safe to unfollow, no relationship loss
Priority 2: Non-Engagers
- Never liked/replied to your tweets
- One-way relationship
Priority 3: Low-Value Follows
- High following/low followers (bot-like)
- No content in your niche
Execution Plan
Week 1: Unfollow 30 inactive accounts
Week 2: Unfollow 30 non-engagers
Week 3: Unfollow 30 low-value follows
Week 4: Evaluate ratio improvement
Target: Get ratio below 2.0, ideally below 0.6
Content Strategy (Algorithm-Optimized)
Tweet Types by Algorithm Weight
| Type | Weight | Recommendation |
|---|
| Tweet that gets author reply | +75 | ALWAYS reply to comments |
| Tweet with replies | +13.5 | Ask questions |
| Tweet with profile clicks | +12.0 | Be intriguing |
| Tweet with long dwell time | +10.0 | Use threads |
| Retweet | +1.0 | Low value |
| Like | +0.5 | Lowest value |
Content Mix
- 40% Value content (insights, tips, frameworks)
- 30% Engagement bait (questions, polls, hot takes)
- 20% Build-in-public (progress updates, wins, losses)
- 10% Promotion (with value attached)
Media Requirements
Every tweet should have ONE of:
- Image (infographic, screenshot, meme)
- Video (< 2:20, hook in first 3 sec)
- Poll
- Thread (7-10 tweets)
NEVER post text-only tweets
Posting Schedule
Optimal Times (General)
| Day | Best Time | Second Best |
|---|
| Tuesday | 9-10 AM | 1-2 PM |
| Wednesday | 9-10 AM | 3-4 PM |
| Thursday | 10-11 AM | 2-3 PM |
First 10 Minutes Protocol
1. Post at optimal time
2. Immediately self-reply with additional insight
3. Reply to ANY comment within 10 minutes
4. Have 2-3 "pod" members ready to RT
Frequency
- Minimum: 1 tweet/day
- Optimal: 3-5 tweets/day
- Gap: 30-60 min between tweets
Engagement Tactics
Reply Strategy (Most Important)
The algorithm gives +75 weight when you reply to replies on your tweets.
Someone comments on your tweet
↓
Reply within 30 minutes (CRITICAL)
↓
Algorithm sees author engagement
↓
Tweet gets boosted to more feeds
Quote Tweet Strategy
Find viral tweet in your niche
↓
Quote with your unique take
↓
Add value, not just "great point"
↓
Post during optimal hours
Thread Formula
1/ Hook (curiosity gap or bold claim)
2-6/ Individual points with specifics
7/ Summary
8/ CTA: Question or "follow for more"
Real-time Monitor & Auto-Reply
Monitor target accounts and auto-generate contextual replies for maximum engagement.
cd ~/crawlee-social-scraper
./start_monitor.sh
./start_monitor.sh monitor
Customize Targets
./venv/bin/python3 twitter_monitor.py --interactive --targets "levelsio,marc_lou,thedankoe"
How It Works
- Polls target accounts every 60 seconds
- Detects new tweets
- Generates contextual reply
- Shows you the suggestion
- You approve/edit/skip
CLI Reference
cd ~/crawlee-social-scraper
source venv/bin/activate
python twitter_cultivate.py analyze <username>
python twitter_cultivate.py shadowban <username>
python twitter_cultivate.py unfollow-recs <username> --limit 50
python twitter_cultivate.py opportunities --niche "AI,startup"
python twitter_cultivate.py report
python twitter_cultivate.py unfollow <username> --execute
Weekly Routine
Daily (15 min)
Weekly (Saturday)
Monthly
Recovery Plan (Low Follower Count)
Phase 1: Emergency Ratio Fix (Week 1-2)
If your ratio is > 5.0 (following >> followers):
- Unfollow 100+ inactive/non-engaging accounts
- Target: ratio < 5.0 as first milestone
Phase 2: Content Upgrade (Week 2-4)
If you have 0% media tweets:
- Add image/video to EVERY tweet
- Use Canva/Figma for quick graphics
- Screenshot interesting data/insights
Phase 3: Engagement Building (Week 3-6)
- Reply to 20+ tweets/day in your niche
- Quote tweet viral content with your take
- Join relevant Twitter communities
- DM potential collaborators
Phase 4: Consistency (Ongoing)
- 3-5 tweets/day
- Reply to 100% of comments
- Weekly analysis and adjustment
