Google Trends Research

Pulls keyword momentum, regional interest, and rising queries from Google Trends through a hosted collection key. The core discipline here is treating search intent as a signal, not proof of marketplace demand or product viability. It's built for topic discovery and watchlist monitoring, with clear handoffs to TikTok or Instagram research when you need content heat instead of search volume. The workflow stays lightweight: compile a brief, collect a sample, separate observation from inference, and flag what's missing. If you've ever watched a news spike get confused with durable category demand, you'll appreciate the guardrails.

skills.sh installs: 1.2K
GitHub stars: 27
last updated: Aug 21, 2026

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Install

$ npx -y skills add postplusai/postplus-skills --skill google-trends-research --agent claude-code

Installs into .claude/skills of the current project.

Files

Google Trends Research

Use this skill for Google Trends platform-data work: topic discovery, keyword momentum, regional interest, rising queries, and search-intent watchlists.

Core Rule

Treat Google Trends as a search-intent source, not full demand proof.

Good uses: topic discovery, keyword momentum, regional comparison, rising-query discovery, and watchlist monitoring.

Do not overclaim transaction demand, conversion intent, marketplace competitiveness, creator execution quality, or merchant-model fit from Google Trends alone.

Task Shapes

Classify the request first:

Trending now scan: hot searches by country or recent lookback.
Keyword momentum check: trend changes across one or more terms.
Regional interest mapping: which markets are warmer for a topic.
Related query expansion: rising terms usable as seeds.

Route

Use google-trends-fast with one --query, a country, and a time range. PostPlus locks the route to keyword analysis so the Agent only supplies research intent.