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substacker-discover

Scan semantic search, academic papers, and news aggregators to rank trending AI topics.

1|Updated Feb 26, 2026
Search Tags:#machine learning#AI#trending topics#substack#content ideation#topic discovery
One-click install
npx skills add https://github.com/sagerstack/multimodal-agentic-expense-claim-kit --skill substacker-discover
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: substacker-discover
Source: https://github.com/sagerstack/multimodal-agentic-expense-claim-kit/tree/main/.claude/skills/substacker-discover
Command: npx skills add https://github.com/sagerstack/multimodal-agentic-expense-claim-kit --skill substacker-discover

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps content creators find timely and relevant topics for Substack newsletters focused on technology, AI, and machine learning, by scanning multiple sources and identifying trending subjects.

Core Features & Use Cases

  • Parallel Source Scanning: Simultaneously queries Exa, WebSearch, arXiv, and Hacker News for fresh AI/ML content.
  • Cross-Referencing and Scoring: Evaluates topics based on recency, novelty, depth, and audience fit.
  • Topic Ranking and Presentation: Proposes 3-5 ranked topics with suggested formats and key sources.
  • Use Case: A tech blogger needs ideas for their next article. They use this Skill to discover what's currently buzzing in the AI research and startup world, ensuring their content is up-to-date and engaging.

Quick Start

Use the substacker-discover skill to find trending AI topics for a new article.

Frequently Asked Questions about substacker-discover

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

FAQPage Schema
How do I find trending AI and machine learning topics for my Substack newsletter?▼

To find trending AI and machine learning topics for a Substack newsletter, this tool scans semantic search, academic papers, and news aggregators in parallel. It ranks subjects based on recency, novelty, depth potential, and audience fit to generate structured article ideas.

Can I discover technology topics from arXiv and Hacker News at the same time?▼

Yes, you can discover technology topics from arXiv and Hacker News simultaneously. The tool performs parallel source scanning across Exa, WebSearch, arXiv, and Hacker News to identify fresh AI and machine learning content for article ideation.

What is the best way to rank content ideation topics for depth and audience fit?▼

The best way to rank content ideation topics for depth and audience fit is through cross-referencing and scoring. This tool evaluates multiple sources to score topics on recency, novelty, depth potential, and audience alignment, proposing 3-5 ranked subjects.

How many trending topics does this tool propose for article creation?▼

This tool proposes 3 to 5 ranked trending topics for article creation. Each topic includes suggested formats and key sources, providing a structured output to streamline the content ideation process for technology and AI newsletters.

Do I need any specific APIs to scan multiple sources for AI content ideation?▼

No specific APIs are required to be manually configured for AI content ideation. The tool internally handles parallel scanning across semantic search, academic papers, and news aggregators to deliver ranked trending topics without external dependencies.

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