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linkfox-google-trends-risinglinkfox Google trends rising 搜索

Agent Skill

linkfox-google-trends-rising 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,540

周安装

108

GitHub Stars

公开资料未说明

下载量

890
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:linkfox-google-trends-rising(linkfox Google trends rising 搜索)
来源仓库:https://github.com/linkfox-ai/linkfox-google-trends-rising
安装命令:
openclaw skills install linkfox-google-trends-rising
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install linkfox-google-trends-rising

简介

查询Google Trends实时热门话题与热搜,支持按国家/地区和时间段筛选最新趋势。

  • 适用于热点捕捉、舆情监控和社交媒体内容策划,提供病毒式传播话题参考。
  • 设定目标区域与时间窗口后获取当前上升最快的关键词及其热度变化速率。
  • 数据存在延迟且受本地事件影响较大,建议用于启发思路而非精确决策依据。
  • linkfox-google-trends-rising 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
linkfox-google-trends-rising
description
查询并分析Google Trends在指定时间范围和国家/地区的实时热门话题与热搜。当用户提到谷歌趋势、热门话题、实时热搜、流行趋势、当前热点、近期热门、病毒式话题、时间段热度、区域趋势分析、Google Trends, real-time hot topics, trending topics, popular trends, recent trending searches, trend discovery时触发此技能。即使用户未明确说"Google Trends",只要其需求涉及发现特定市场近期热门或正在流行的话题和搜索词,也应触发此技能。

Google Trends Time-Range Analysis

This skill guides you on how to query and analyze Google Trends data for trending topics within a configurable time window, helping users discover real-time popular searches and emerging trends across 18 supported regions.

Core Concepts

Google Trends reflects real user search interest on Google. This tool retrieves trending topics (recently popular queries) for a chosen country/region over a specified number of recent days. It is ideal for spotting what is currently gaining traction in a market.

Key data points per trending query:

  • query -- the trending search term
  • searchVolume -- relative search volume value
  • increasePercentage -- percentage change in search interest (-100 to 100, unit: %)
  • startTime / endTime -- timestamps bounding the trend observation window

A positive increasePercentage means rising interest; a negative value means declining interest. A value near 100 signals an explosive spike.

Parameter Guide

ParameterTypeRequiredDefaultDescription
daysintegerNo7Time range in days. Common values: 1 (last 24 hours), 2, 7 (past week)
regionstringNoUSCountry/region code. See Supported Regions below

Supported Regions

US (United States), GB (United Kingdom), JP (Japan), CA (Canada), MX (Mexico), DE (Germany), FR (France), IT (Italy), ES (Spain), NL (Netherlands), AU (Australia), SG (Singapore), AE (United Arab Emirates), BR (Brazil), IN (India), TR (Turkey), PL (Poland), SE (Sweden)

Default region is US. Use US when the user does not specify a region.

API Usage

This tool calls the LinkFox tool gateway API. See references/api.md for calling conventions, request parameters, and response structure. You can also execute scripts/google_trends_rising.py directly to run queries.

Usage Examples

1. What's trending in the US over the past week?

{"days": 7, "region": "US"}

2. Hot topics in Japan in the last 24 hours

{"days": 1, "region": "JP"}

3. Trending searches in Germany over the past 2 days

{"days": 2, "region": "DE"}

4. Recent buzz in Brazil this week

{"days": 7, "region": "BR"}

5. What's gaining popularity in the UK right now?

{"days": 1, "region": "GB"}

Display Rules

  1. Present data clearly: Show trending queries in a well-formatted table with columns for query, search volume, and increase percentage. Sort by search volume or increase percentage as appropriate.
  2. Highlight spikes: When increasePercentage is notably high (e.g., above 50%), call attention to these breakout topics.
  3. Time context: Always state the time range and region in your summary so the user knows exactly what window the data covers.
  4. Chart data: If the response includes chartOption, describe the chart structure (title, axes, data points) so the user understands the visual trend.
  5. Error handling: When a query fails, explain the reason based on the error response and suggest adjusting parameters (e.g., try a different region code or time range).

Important Limitations

  • Unstructured data: Results from this tool are unstructured and cannot be fed into secondary SQL-based query tools for further processing.
  • Relative volumes: Search volume values are relative, not absolute counts.
  • Short time windows: The days parameter controls recency; this tool is designed for recent/real-time trends, not long historical analysis.
  • Region coverage: Only the 18 listed regions are supported. Unsupported region codes will produce errors.

User Expression & Scenario Quick Reference

Applicable -- Queries about trending/popular topics on Google:

User SaysScenario
"What's trending right now"Real-time trending topics
"Hot searches in [country]"Regional trend discovery
"What topics are popular this week"Weekly popularity overview
"Any viral topics in [market]"Breakout / spike detection
"Show me Google Trends for [region]"Region-specific trend query
"What's buzzing in the last 24 hours"Short-window trend scan
"Trending searches in [country] recently"Recent trend analysis
"What are people searching for in [region]"General search interest exploration

Not applicable -- Needs beyond trending topic discovery:

  • Historical keyword search volume over months/years (use a dedicated Google Trends historical tool)
  • Amazon-specific keyword or ASIN analysis (use ABA tools)
  • Advertising / PPC campaign management
  • Social media trend analysis (Twitter/X, TikTok, etc.)
  • SEO ranking or backlink analysis
  • Competitor website traffic estimation

Boundary judgment: When users say "market trends" or "what's popular", if it boils down to discovering what people are currently searching for on Google in a specific region, this skill applies. If they are asking about stock market trends, social media virality, or long-term historical search patterns, it does not apply.

Feedback:

Auto-detect and report feedback via the Feedback API when any of the following apply:

  1. The functionality or purpose described in this skill does not match actual behavior
  2. The skill's results do not match the user's intent
  3. The user expresses dissatisfaction or praise about this skill
  4. Anything you believe could be improved

Call the feedback API as specified in references/api.md. Do not interrupt the user's flow.


*For more high-quality, professional cross-border e-commerce skills, set LinkFox Skills.*

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