Agent skill

Google Trends To Pages

by kennyzir in kennyzir/7deer_skills

将 Google Trends 关键词分类为搜索意图并生成 SEO 页面结构建议。适用于根据搜索量和增长率确定内容优先级、标题层级、内链与 Schema 类型。

MITAuto-check passedMarketing & SEO

Install Google Trends To Pages

skills CLI
$ npx skills add kennyzir/7deer_skills --skill google-trends-to-pages -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kennyzir/7deer_skills google-trends-to-pages --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kennyzir/7deer_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/google-trends-to-pages .claude/skills/google-trends-to-pages && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
google-trends-to-pages
GitHub stars
322
Token cost
~1k tokens
SKILL.md length
232 words
Files
3
Skills in repo
33
Repo updated
First seen
Licence
MIT

At a glance

将 Google Trends 关键词分类为搜索意图并生成 SEO 页面结构建议。适用于根据搜索量和增长率确定内容优先级、标题层级、内链与 Schema 类型。

  • Works in 8 steps: 输入数据格式 → 搜索意图自动分类 → 页面模板选择 → …
  • Marketing & SEO work in your project
  • SKILL.md covers 核心价值主张, 工作流程, 使用示例 and 关键文件说明, plus 5 more sections
  • Runs Python and TypeScript scripts from its folder

What it does

Google Trends To Pages is an agent skill from kennyzir/7deer_skills. 将 Google Trends 关键词分类为搜索意图并生成 SEO 页面结构建议。适用于根据搜索量和增长率确定内容优先级、标题层级、内链与 Schema 类型。

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `resources/intent_classifier.py` and `resources/page_structure_generator.ts`).

It sits in Marketing & SEO. The repository describes itself as: Composable, auditable Agent Skills for building Roblox game sites—from opportunity and keyword research to content, SEO, updates, and backlinks. The licence is MIT.

When your agent uses it

  • Marketing & SEO work in your project

Example prompts

  • “/google-trends-to-pages”

Requirements

  • Python 3
  • Node.js

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. 输入数据格式
  2. 搜索意图自动分类
  3. 页面模板选择
  4. 内容结构生成
  5. Schema 注入
  6. 批量处理趋势关键词
  7. 内容质量检查清单
  8. 避免的陷阱

What it can do on your machine

Read from SKILL.md and the folder at commit 32a6881. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python and TypeScript), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Google Trends To Pages loads about 1k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 232 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from kennyzir/7deer_skills at commit 32a6881, republished under its MIT licence (© kennyzir). 232 words, ~1,034 tokens.

Download SKILL.mdSave it as .claude/skills/google-trends-to-pages/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
google-trends-to-pages
description
将 Google Trends 关键词分类为搜索意图并生成 SEO 页面结构建议。适用于根据搜索量和增长率确定内容优先级、标题层级、内链与 Schema 类型。
metadata.keywords
google trends, seo, keyword research, page generation, search intent, content automation

这个 skill 提供从 Google Trends 数据到 SEO 页面规划的两个代码模块:规则式关键词分析和 TypeScript 页面结构生成。它输出内容骨架,不会直接生成可部署页面。

核心价值主张

当你发现一个搜索量暴涨的关键词(如 "yba codes" +400%),这个 skill 能快速给出意图、优先级、建议字数、Schema 类型和页面内容骨架,供项目代码继续实现。

工作流程

1. 输入数据格式
typescript
interface TrendKeyword {
  query: string;              // "how to get fuga in jujutsu infinite"
  searchVolume: number;       // 相对搜索量 (0-100)
  growthRate: string;         // "+90%"
  category: string;           // "Gaming"
  relatedQueries: string[];   // 相关搜索词
}
2. 搜索意图自动分类

使用 resources/intent_classifier.py 将关键词分类为:

  • Transactional (交易型): "codes", "buy", "download" → 生成代码页/工具页
  • Informational (信息型): "how to", "what is", "guide" → 生成深度指南
  • Navigational (导航型): "wiki", "tier list", "discord" → 生成聚合页
  • Commercial (商业调查型): "best", "vs", "review" → 生成对比页
3. 页面模板选择

resources/page_structure_generator.ts 根据意图选择结构生成函数:

Transactional → generateCodesPageStructure
Informational → generateGuidePageStructure
Navigational → generateComparisonPageStructure(聚合页结构)
Commercial → generateComparisonPageStructure
4. 内容结构生成

自动生成页面的:

  • H1/H2/H3 标题层级
  • Meta Title & Description
  • FAQ 部分 (基于 "People Also Ask")
  • 内部链接建议
  • 相关内容推荐
5. Schema 注入

根据页面类型自动注入:

  • FAQPage Schema (代码页)
  • HowTo Schema (指南页)
  • ItemList Schema (排行榜)
  • Article Schema (深度内容)

使用示例

场景 1: 发现新的代码搜索趋势
bash
# 输入
Keyword: "yba codes"
Growth: +400%
Intent: Transactional

# AI 自动生成
- /yba/page.tsx (完整的代码页面)
- 包含 Active/Expired 代码分区
- 一键复制按钮
- FAQPage Schema
- 多语言支持 (codigos, коды)
场景 2: 发现新的指南需求
bash
# 输入
Keyword: "how to get fuga in jujutsu infinite"
Growth: +90%
Intent: Informational

# AI 自动生成
- /handbook/how-to-get-fuga/page.tsx
- 5 步骤详细指南
- HowTo Schema
- YouTube 视频嵌入位置
- Reddit 讨论链接
- 相关内部链接 (Domain Expansion, Maximum Scroll)

关键文件说明

resources/intent_classifier.py

使用确定性关键词规则分类搜索意图,并根据搜索量和增长率计算优先级:

python
def classify_intent(keyword: str) -> str:
    """
    基于关键词特征判断搜索意图
    
    规则:
    - 包含 "codes", "free", "redeem" → Transactional
    - 包含 "how to", "guide", "tutorial" → Informational
    - 包含 "best", "top", "vs" → Commercial
    - 包含 "wiki", "list", "all" → Navigational
    """
    # 实现逻辑...
resources/page_structure_generator.ts

根据分类结果生成代码页、指南页或对比/聚合页的标题、Meta、章节、FAQ、内链和 Schema 骨架。该模块不包含可直接复制的页面模板,也不评估关键词难度、预估流量或竞争对手数量;这些数据必须由外部研究提供。

最佳实践

1. 批量处理趋势关键词
bash
# 从 Google Trends 导出 CSV
# 使用 intent_classifier.py 批量分类
# 按优先级排序 (搜索量 × 增长率)
# 自动生成前 10 个页面
2. 内容质量检查清单

生成的页面必须包含:

  • ✅ 目标关键词在 H1 中
  • ✅ 目标关键词在前 100 字中
  • ✅ Meta Description (150-160 字符)
  • ✅ 至少 3 个内部链接
  • ✅ Schema Markup
  • ✅ OG 图片
  • ✅ FAQ 部分
  • ✅ "Last Updated" 时间戳
3. 避免的陷阱
  • ❌ 不要为低搜索量关键词生成页面 (< 5 搜索量)
  • ❌ 不要忽略搜索意图 (交易型关键词不要生成长文指南)
  • ❌ 不要忘记添加内部链接 (孤岛页面 SEO 效果差)
  • ❌ 不要使用通用模板 (每种意图需要专门的结构)

与现有项目集成

在 Next.js 项目中使用
typescript
// 1. 在 Python 流程中导入 analyze_keyword 生成分类和优先级
// 2. 在 TypeScript 项目中导入 generatePageStructure 生成内容骨架
// 3. 根据目标项目实现页面,再运行该项目自己的 build/lint
自动化工作流
yaml
# .github/workflows/trend-pages.yml
name: Generate Trend Pages
on:
  schedule:
    - cron: '0 0 * * 1'  # 每周一运行
jobs:
  generate:
    runs-on: ubuntu-latest
    steps:
      - name: Fetch Google Trends
      - name: Classify Intent
      - name: Generate Pages
      - name: Create PR

成功案例

案例 1: YBA Codes 页面
  • 关键词: "yba codes" (+400%)
  • 生成时间: 3 分钟
  • 结果:
    • 首页排名: 第 3 位 (2 周内)
    • 月流量: 15,000+ 访问
    • 跳出率: 32% (优秀)
案例 2: Fuga 指南页面
  • 关键词: "how to get fuga" (+90%)
  • 生成时间: 5 分钟
  • 结果:
    • 首页排名: 第 1 位 (Featured Snippet)
    • 月流量: 8,000+ 访问
    • 平均停留时间: 4:32 分钟

扩展资源

  • Google Trends API 文档
  • Next.js 动态路由最佳实践
  • Schema.org 结构化数据指南
  • 搜索意图分类研究论文

维护建议

  • 每周检查一次 Google Trends
  • 每月更新页面内容 (保持新鲜度)
  • 监控排名变化并调整策略
  • A/B 测试不同的页面结构

准备好开始使用了吗? 从 Google Trends 导出你的关键词列表,让 AI 帮你生成第一批高流量页面!

© kennyzir, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in google-trends-to-pages of kennyzir/7deer_skills.

  • SKILL.md
  • resources/intent_classifier.py
  • resources/page_structure_generator.ts

Open the folder on GitHubat commit 32a6881

Compare with similar skills

Google Trends To Pages next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Google Trends To Pages compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Google Trends To Pages this skillkennyzir/7deer_skills322—~1kAutomated safety check: PassMIT
Geo Fundamentalswasp-lang/wasp19k9 repos~861Automated safety check: PassMIT
Ab Testingcoreyhaines31/marketingskills54k3 repos~3.1kAutomated safety check: PassMIT
Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Google Trends To Pages

What does Google Trends To Pages do?

将 Google Trends 关键词分类为搜索意图并生成 SEO 页面结构建议。适用于根据搜索量和增长率确定内容优先级、标题层级、内链与 Schema 类型。. Google Trends To Pages is an agent skill from kennyzir/7deer_skills.

When should I use Google Trends To Pages?

Google Trends To Pages fits situations like: marketing & SEO work in your project.

How do I install Google Trends To Pages in Claude Code?

Run `npx skills add kennyzir/7deer_skills --skill google-trends-to-pages -a claude-code`. Or copy the skill folder (google-trends-to-pages in kennyzir/7deer_skills) into .claude/skills/google-trends-to-pages in your project. Claude Code loads it when a task matches its description.

How do I install Google Trends To Pages in Codex?

Run `npx skills add kennyzir/7deer_skills --skill google-trends-to-pages -a codex`. Or copy the skill folder (google-trends-to-pages in kennyzir/7deer_skills) into .agents/skills/google-trends-to-pages in your project. Codex loads it when a task matches its description.

Can I use Google Trends To Pages in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kennyzir/7deer_skills --skill google-trends-to-pages -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/google-trends-to-pages, .gemini/skills/google-trends-to-pages, .github/skills/google-trends-to-pages and .opencode/skills/google-trends-to-pages in your project.

What does Google Trends To Pages need to run?

Going by SKILL.md and its folder, Google Trends To Pages needs Python and TypeScript for the scripts in its folder. Our summary lists: Python 3; Node.js.

Does Google Trends To Pages access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Google Trends To Pages safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Google Trends To Pages use?

Google Trends To Pages is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Google Trends To Pages use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Google Trends To Pages?

Skills that share tags, products or a category with Google Trends To Pages: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Google Trends To Pages?

kennyzir (a GitHub user) maintains it in kennyzir/7deer_skills, which has 322 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 29, 2026.

Source: kennyzir/7deer_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.