creator-search-intent-radar

Name: creator-search-intent-radar
Availability: InStock
Author: LeroyCreates

Convert social trend signals into a ranked weekly content backlog.

7|Updated Mar 11, 2026

Search Tags:#trend-analysis #content-planning #backlog-management #topic-ideation #platform-trends #hook-directions

Ready to run

npx skills add https://github.com/Leooooooow/Awesome-eCommerce-Skills --skill creator-search-intent-radar

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: creator-search-intent-radar
Source: https://github.com/Leooooooow/Awesome-eCommerce-Skills/tree/main/skills/creator-search-intent-radar
Command: npx skills add https://github.com/Leooooooow/Awesome-eCommerce-Skills --skill creator-search-intent-radar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Turn noisy trend inputs into ranked, publishable decisions for weekly content planning.

Core Features & Use Cases

Collect demand signals from TikTok/YouTube/Instagram, comments, FAQs, and record provenance (source_type, source_link, captured_at, confidence).
Normalize and dedupe backlog, standardize topic, platform_fit, intent_type, freshness, audience_fit, monetization_fit, and difficulty.
Score, rank, and generate a top-10 list plus per-topic angles and CTAs, plus a 7-day lightweight schedule.

Quick Start

Feed 10–30 candidate signals from social trend surfaces and FAQs, then retrieve the top 10 ranked topics with hooks and CTAs.

Frequently Asked Questions about creator-search-intent-radar

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

FAQPage Schema

How do I turn social trend signals into a weekly content backlog?▼

A weekly content backlog normalizes noisy trend inputs by deduplicating and standardizing metadata like platform_fit, intent_type, and freshness before ranking them into a top-10 topic list with hooks and a 7-day schedule.

What is the best way to rank TikTok and YouTube content ideas for weekly planning?▼

Ranking TikTok and YouTube content ideas requires scoring standardized signals across audience_fit, monetization_fit, and difficulty to produce a prioritized top-10 list with per-topic angles and CTAs for your weekly schedule.

How many trend signals do I need to generate a ranked topic list for content planning?▼

You need 10 to 30 candidate signals from social trend surfaces, comments, or FAQs to generate a ranked top-10 topic list with corresponding hooks, angles, and CTAs for content planning.

Does weekly content backlog generation work for multiple social media platforms?▼

Yes, weekly content backlog generation works for TikTok, YouTube, and Instagram by evaluating platform-specific topics, standardizing platform_fit, and generating tailored angles and CTAs for each platform.

What structured inputs do I need to record for social media topic ideation?▼

For social media topic ideation, you must record structured inputs including source_type, source_link, captured_at, and confidence to properly track provenance and score the trend signals.

How do I assign hooks and CTAs to ranked topics in a content backlog?▼

Assigning hooks and CTAs to ranked topics happens automatically during backlog generation, where standardized signals like intent_type and freshness are scored to output per-topic angles and specific calls to action.