predict

Predict 24-hour post views, likes, replies, and shares ranges from historical data.

262|179|Updated Apr 20, 2026

Search Tags:#threads #data-analytics #prediction #predict #social-media #tracker

Ready to run

npx skills add https://github.com/akseolabs-seo/AK-Threads-booster --skill predict-akseolabs-seo

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: predict
Source: https://github.com/akseolabs-seo/AK-Threads-booster/tree/main/skills/predict
Command: npx skills add https://github.com/akseolabs-seo/AK-Threads-booster --skill predict-akseolabs-seo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

After you finish drafting a post, this skill estimates its likely 24-hour performance range from your historical data to help you gauge potential reach and engagement.

Core Features & Use Cases

Uses fresh compiled memory and historical trackers to build comparable post sets and forecast views, likes, comments, and shares within a 24-hour window.
Supports prediction sessions after drafting content, with guidance on conservative, baseline, and optimistic ranges, plus upside drivers and uncertainty factors.
Persists results to the tracker and can trigger a compiled-memory rebuild to keep forecasts aligned with the latest data.

Quick Start

Provide a post content and request a 24-hour performance forecast based on your history.

Frequently Asked Questions about predict

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I forecast social media post performance from historical tracker data?▼

You can forecast post performance by submitting drafted content for a 24-hour prediction session. The system uses compiled memory and historical tracker data to estimate views, likes, replies, and shares, providing conservative, baseline, and optimistic ranges with confidence indicators and data sources.

Can I predict engagement metrics like views and replies for Threads posts?▼

Yes, you can predict Threads post engagement by providing the drafted post content. The system references your historical tracker data to forecast 24-hour views, likes, replies, and shares, delivering conservative, baseline, and optimistic ranges with confidence and data source indicators.

What data do I need to estimate 24-hour social media reach and engagement ranges?▼

You need fresh compiled memory and historical tracker data to estimate 24-hour social media engagement ranges. This historical data builds comparable post sets to forecast views, likes, replies, and shares, providing conservative, baseline, and optimistic ranges with confidence levels and identified data sources.

Does the prediction update the tracker and compiled memory after forecasting post performance?▼

Yes, after forecasting post performance, the system persists results to the tracker and can trigger a compiled-memory rebuild. This keeps future forecasts aligned with the latest data, ensuring accurate conservative, baseline, and optimistic engagement ranges with confidence levels and data source tracking.

How accurate are data-backed predictions for social media content engagement?▼

Data-backed predictions for social media content engagement provide conservative, baseline, and optimistic ranges rather than exact numbers. Accuracy is indicated by confidence levels and data sources, utilizing compiled memory and historical trackers to estimate 24-hour views, likes, replies, and shares.