katelyn-topic-radar

Scan Reddit communities and X trends, then generate a 3-candidate briefing with scores.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/RealLoveBeatsHateFeelMe/Katelyn-openclaw --skill katelyn-topic-radar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: katelyn-topic-radar
Source: https://github.com/RealLoveBeatsHateFeelMe/Katelyn-openclaw/tree/main/drafts/katelyn-archive/katelyn-topic-radar
Command: npx skills add https://github.com/RealLoveBeatsHateFeelMe/Katelyn-openclaw --skill katelyn-topic-radar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Load at the start of every topic-radar cron run. This workflow helps Katelyn surface trending celebrities/topics, evaluate them with the Likely You engine, and generate a 3-candidate briefing with recommendation scores and publish-where suggestions, ready for distribution or demo use.

Core Features & Use Cases

  • Scans Reddit communities (r/popheads, r/MMA, r/UFC, r/Entrepreneur, r/technology, r/hiphopheads) and X trend data to surface candidates with meaningful discussion.
  • Integrates engine outputs (personality, dayun, liunian, feeling, liuqin, marriage) into a deterministic briefing template.
  • Produces a publish-ready briefing with scores and publish-location suggestions for product demos or launches.

Quick Start

Initiate the cron run; the skill reads topic data, calls the engine, and emits a 3-candidate briefing for review.

Frequently Asked Questions about katelyn-topic-radar

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

FAQPage Schema
How do I automate social-listening briefings from Reddit and X trend data?

You automate social-listening briefings by triggering a cron job that scans specified Reddit communities and X trend data, feeds candidates into an engine API, and outputs a multi-dimensional briefing with scores and publish suggestions.

What is a topic-radar briefing and how does it evaluate emerging trends?

A topic-radar briefing surfaces emerging celebrities and topics from communities, evaluates them through an engine API, and generates a 3-candidate report with recommendation scores and publish-where suggestions.

Can I scan specific Reddit communities like r/popheads or r/MMA for trending topics?

Yes, the skill scans Reddit communities including r/popheads, r/MMA, r/UFC, r/Entrepreneur, r/technology, and r/hiphopheads to surface candidates with meaningful discussion for engine evaluation.

How do I generate a 3-candidate report with recommendation scores from social trends?

You generate a 3-candidate report by running the cron trigger to scan trends, calling the engine API to evaluate candidates, and mapping outputs through a deterministic template to produce structured briefing content.

Do I need a cron trigger and environment-configured engine endpoint to produce trend briefings?

Yes, the skill requires a cron trigger to initiate the scan and an environment-configured engine endpoint to process candidates and return the multi-dimensional data needed for the briefing.

What are the limitations of automated topic-radar briefings for product demos?

The skill relies on a deterministic template to map engine outputs to briefing content and scans only the configured Reddit communities and X trend data, limiting candidates to those specific sources.