topics

Analyze comments and historical performance to recommend Threads topics.

262|179|Updated Apr 20, 2026

Search Tags:#threads #content-strategy #topics #comment-analysis #audience-insights #topic-recommendation

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Mine insights from comments and historical data to recommend the next worthwhile topics for a Threads account.

Core Features & Use Cases

Mine comment demand and audience pain points
Analyze historical performance to identify high-potential topics
Surface 3-5 candidate topics with evidence and suggested angles
Provide freshness and repetition risk assessments to guide framing
Integrate with knowledge sources and concept libraries for richer context

Quick Start

Provide 3-5 topic recommendations using your latest tracker data and knowledge context.

Frequently Asked Questions about topics

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

FAQPage Schema

How do I find high-potential Threads topics for my audience?▼

Find high-potential Threads topics by analyzing historical post performance and mining comment demand to surface 3-5 candidate topics with evidence, suggested angles, and freshness indicators.

What is the best way to mine audience pain points from Threads comments?▼

Mine audience pain points from Threads comments by analyzing comment signals and audience insights to identify topic clusters, using historical data to guide content strategy recommendations.

How does comment analysis improve Threads content strategy?▼

Comment analysis improves Threads content strategy by extracting audience demand signals and pain points from historical interactions, using these insights to recommend relevant topic clusters with framing angles.

Can I use historical post performance to suggest Threads topics?▼

Yes, you can use historical post performance to suggest Threads topics by applying a next-move engine that evaluates past data and freshness indicators to generate 3-5 evidence-backed topic recommendations.

How do I assess repetition risk for Threads topic recommendations?▼

Assess repetition risk for Threads topic recommendations by evaluating historical performance data and freshness indicators, which provide risk notes and external freshness status for each candidate topic.