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cccskills
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keyword-research

Turn a topic or URL into a keyword plan using Google search volumes, advertising cost per click, and existing rankings. Group related terms into page topics and prioritize where to create or improve content.

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Keyword research from a seed topic — ideas, real Google volume/CPC, intent, difficulty, clustered into a plan. Use when asked to "find keywords", "keyword research for X", "what should I rank for", or "build a keyword plan".

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适用场景

  • Find keyword ideas from a topic or URL
  • Plan related articles around a central topic
  • Choose between new pages and existing page improvements
  • Compare search demand, trends, and advertising click costs

包含的文件(1)

  • SKILL.md2.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Keyword Research

Requires

The free Ryze MCP connector (https://connector.get-ryze.ai/mcp). Claude Code: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcp. claude.ai / Desktop / Cursor: add it as a custom connector with the same URL. Setup: https://www.get-ryze.ai/how-to-connect-claude-to-google-meta-ads-mcp

Seed → ideas → metrics → clusters. Volumes come from Google Ads planner data (the source everyone else resells), enriched with DataForSEO intent/difficulty.

Workflow

  1. Expand the seed. google_ads__generateKeywordIdeas with the seed keyword(s) and/or the user's URL. Collect up to ~200 ideas.
  2. Metrics. google_ads__generateKeywordHistoricalMetrics on the candidate list — monthly volume, competition, CPC range, 12-month trend.
  3. Intent + difficulty (optional enrich). If the workspace exposes DataForSEO tools, call the Labs keyword_overview endpoint for the top ~50 (search intent, keyword difficulty, SERP features). Request shape: native__get_provider_docs provider dataforseo. Skip silently if unavailable — Google metrics alone are enough for a v1 plan.
  4. What they already rank for. google_search_console__runRawSearchAnalytics (dimension query, filtered to the topic) — mark keywords the site already has positions for; those are optimize-not-create.
  5. Cluster. Group by intent and topic into content clusters: pillar + supporting pages. For each cluster: target keyword, supporting keywords, total volume, intent, existing page (if any) or "new page".

Output

One table per cluster (keyword, volume, CPC, intent, current position if any), then a ranked plan: which clusters to attack first and why (volume × winnability — favor clusters where the site already has striking-distance positions). Plain language, no filler.

Rules

  • Never invent volumes. If a metrics call fails, show the keyword without numbers and say why.
  • CPC belongs in the output — it tells the user what the traffic is worth, and this doubles as an ads negative-keyword source.

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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中文简介正在准备中。当前显示英语简介。

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