Optimize X/Twitter content performance using reverse-engineered algorithms. Benefits operations teams by improving engagement and reach. Connects to content management workflows and analytics tools.
git clone https://github.com/TheMattBerman/x-algo-skill.gitX Algorithm Optimizer applies reverse-engineered mechanics from X's open-source May 2026 codebase to predict how users will engage with your posts. The system scores content using a Phoenix transformer that calculates probabilities across 19 engagement actions—replies, reposts, favorites, video views, and negative signals like blocks and mutes—then applies weighted scoring and content screening via the Grox service. The skill helps content teams maximize reply probability through high-engagement patterns, optimize post timing and spacing to avoid author diversity penalties, and understand the hard mechanics that control reach including age filters, out-of-network demotion factors, and spam classification. Operations and social media teams benefit by moving beyond hashtag and follower-count gaming to alignment-based optimization grounded in actual neural ranking behavior.
[{"step":1,"action":"Gather historical tweet data for the target handle using Twitter’s native analytics or third-party tools like **TweetHunter**, **Social Blade**, or **Hootsuite**. Export metrics such as engagement rate, impressions, retweets, replies, and posting times.","tip":"Focus on the last 3-6 months for the most relevant trends. Filter out tweets with external links (e.g., blog posts) to isolate native Twitter performance."},{"step":2,"action":"Identify the top 10 highest-performing tweets based on a composite score (e.g., (likes + retweets + replies) * 1.5 + impressions * 0.5). Reverse-engineer their success by analyzing patterns in hashtags, media, length, and posting time.","tip":"Use a spreadsheet to track variables like tweet length, hashtag count, media type (image/video/gif), and engagement velocity (time to first 50 likes)."},{"step":3,"action":"Generate 5 optimized tweet templates using the insights from Step 2. Tailor them to the brand’s voice (e.g., professional, conversational, humorous) and include recommended posting times and hashtags.","tip":"For promotional tweets, highlight urgency or exclusivity (e.g., \"Limited-time offer\"). For educational content, use threads to deliver value incrementally."},{"step":4,"action":"Create a 30-day content calendar using the templates. Mix promotional, educational, interactive, and behind-the-scenes content to keep the feed dynamic. Schedule tweets using **Buffer**, **Later**, or **TweetDeck** for consistency.","tip":"Leave 20% of slots open for trending topics or spontaneous engagement (e.g., replying to viral threads). Use tools like **Google Trends** or **Trends24** to spot opportunities."},{"step":5,"action":"Monitor performance daily using Twitter Analytics or **Sprout Social**. Adjust the calendar weekly based on engagement data. For underperforming tweets, tweak elements like posting time, hashtags, or content format.","tip":"Track metrics like engagement rate, follower growth, and link clicks. If a template consistently underperforms, replace it with a new variation and test again."}]
Optimize X post copy to maximize P(reply) using fill-in-the-blank and nuanced controversy patterns
Time content releases to avoid age filter hard cutoffs and author diversity penalties
Identify negative signal risks (blocks, mutes, reports) before publishing
Analyze multimodal content strategy—when to include photos, video, or text-only posts
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/TheMattBerman/x-algo-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Analyze the historical performance of [X/TWITTER_HANDLE]'s top 10 most engaging tweets from the past [3/6/12] months. For each tweet, reverse-engineer the algorithmic factors that contributed to their success (e.g., hashtag usage, posting time, content length, media type, engagement velocity). Then, generate 5 optimized tweet templates tailored to [BRAND_VOICE] that align with these insights. Include recommended posting times and hashtag strategies. Finally, suggest a 30-day content calendar with a mix of promotional, educational, and interactive tweets.
### Performance Analysis of @TechGuruPro’s Top 10 Tweets (Jan 2023 - Jun 2023) **Key Insights:** 1. **Optimal Posting Time:** 9:00 AM and 7:00 PM EST (accounting for 60% of top-performing tweets). These slots align with peak engagement hours for their audience (primarily U.S.-based tech professionals). 2. **Content Length:** Tweets with 120-140 characters outperformed longer ones by 22%, suggesting brevity drives higher click-through rates (CTR). 3. **Media Type:** Tweets with images (especially infographics) had a 35% higher engagement rate than text-only tweets. Videos under 45 seconds saw a 28% boost in shares. 4. **Hashtag Strategy:** 2-3 relevant hashtags per tweet (e.g., #AI, #CyberSecurity, #TechTrends) correlated with 18% higher reach. Overuse (4+ hashtags) led to a 12% drop in engagement. 5. **Engagement Velocity:** Tweets that garnered 50+ likes/retweets within the first 30 minutes were 3x more likely to trend. Early engagement (first 5 minutes) was critical—prompting replies from @TechGuruPro or key influencers increased visibility. **Top 5 Optimized Tweet Templates:** 1. **Promotional (Product Launch):** "🚀 Just dropped: [PRODUCT_NAME]—the AI tool that cuts your workflow in half! 🔥 👉 [LINK] #AI #Productivity #TechInnovation Posting Time: 9:00 AM EST" 2. **Educational (Thread):** "🧵 The #1 mistake developers make with #Python in 2023? Overcomplicating loops. Here’s how to simplify: [THREAD_LINK] #Coding #DevTips Posting Time: 7:00 PM EST" 3. **Interactive (Poll):** "🤔 Which #CyberSecurity trend will dominate in 2024? Vote below! 🔒 Zero Trust 🛡️ AI-Powered Defense 🌐 Quantum Encryption #FutureOfTech Posting Time: 12:00 PM EST" 4. **Behind-the-Scenes:** "📸 Sneak peek: Our team’s whiteboard session on [PROJECT_NAME]. What should we tackle next? Drop your ideas! 👇 [IMAGE_LINK] #Innovation #TeamWork Posting Time: 3:00 PM EST" 5. **User-Generated Content (UGC):** "🎉 Shoutout to @Customer123 for this amazing #TechHack! 👏 [IMAGE_LINK] Want to be featured? Reply with your best tip! #Community #TechTips Posting Time: 6:00 PM EST" **30-Day Content Calendar:** | Week | Monday | Tuesday | Wednesday | Thursday | Friday | Saturday | Sunday | |------|--------|---------|-----------|----------|--------|----------|--------| | 1 | Promo 1 | Educational 1 | Poll 1 | UGC 1 | Behind-the-Scenes 1 | Promo 2 | Educational 2 | | 2 | Promo 3 | Interactive 1 | Educational 3 | Poll 2 | UGC 2 | Behind-the-Scenes 2 | Promo 4 | | 3 | Educational 4 | Promo 5 | Interactive 2 | Poll 3 | UGC 3 | Behind-the-Scenes 3 | Educational 5 | | 4 | Promo 6 | Interactive 3 | Educational 6 | Poll 4 | UGC 4 | Behind-the-Scenes 4 | Promo 7 | **Pro Tips:** - Use tools like **TweetDeck** or **Hootsuite** to schedule tweets in advance and monitor engagement in real-time. - For threads, break content into 4-6 tweets and space them 1 hour apart to maximize thread completion rates. - A/B test posting times and content formats weekly to refine strategy based on performance data.
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