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signal-scan

Generate dated, cited, engagement-ranked briefs of recent activity across community, news, and market surfaces.

29|12|Updated Mar 30, 2026
Search Tags:#research#monitoring#market intelligence#competitive analysis#data synthesis#signal
One-click install
npx skills add https://github.com/matteotitta/genesys-skills --skill signal-scan-matteotitta
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: signal-scan
Source: https://github.com/matteotitta/genesys-skills/tree/main/skills/research/signal-scan
Command: npx skills add https://github.com/matteotitta/genesys-skills --skill signal-scan-matteotitta

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of information overload and SEO-biased noise by providing a curated, engagement-ranked brief of recent activity for any topic, company, or market.

Core Features & Use Cases

  • Engagement-Ranked Briefs: Filters out SEO fluff to prioritize content based on actual community engagement like upvotes, stars, and views.
  • Multi-Surface Aggregation: Scans Reddit, Hacker News, GitHub, and news/funding sources to cluster stories and provide a unified narrative.
  • Use Case: Use this before a sales call or newsletter creation to instantly understand the last 30 days of activity for a prospect or technology, ensuring you are informed by real signals rather than marketing noise.

Quick Start

Use the signal-scan skill to generate a 30-day engagement brief for the company OpenAI.

Frequently Asked Questions about signal-scan

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

FAQPage Schema
How do I get an engagement-ranked market intelligence brief for a specific company?▼

To get an engagement-ranked market intelligence brief, you can use a signal scanning approach that clusters recent activity from community, news, and market surfaces. It filters out SEO noise by prioritizing actual community engagement like upvotes and stars to produce a dated, cited 30-day brief.

What is the best way to monitor recent activity across Reddit, Hacker News, and GitHub for a technology topic?▼

The best way to monitor recent activity across platforms like Reddit, Hacker News, and GitHub is through multi-surface aggregation. This process resolves entities and clusters signals from diverse platforms to provide a unified narrative of recent market intelligence.

Do I need API integrations to extract real-time competitive analysis signals from community platforms?▼

Yes, you need API integrations with services like Exa, Firecrawl, GitHub, and Apify to perform multi-surface data extraction. These integrations are required to gather and synthesize real-time signals from diverse community, news, and market platforms.

How does multi-surface signal clustering work for filtering SEO-biased market noise?▼

Multi-surface signal clustering works by aggregating data from diverse platforms and ranking it based on actual community engagement metrics. This mechanism filters out SEO-biased noise, ensuring the resulting market intelligence brief reflects real user interest rather than marketing fluff.

Can I use signal scanning for temporal analysis of a product over the last 30 days?▼

Yes, you can use signal scanning for temporal analysis of products, companies, or technologies. It generates a dated brief covering the last 30 days of activity, helping you understand recent trends and engagement before a sales call or newsletter creation.

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