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keyword-deep-dive

@inhouseseo · 收录于 1 周前

Use when planning to rank for a specific keyword. The agent Googles it, reads the top 10, classifies intent, reads the top 3 competitor pages, and produces a 90-day ranking plan with intent, SERP analysis, and content recommendations.

适合你,如果正在为某个关键词做排名优化,需要竞品分析和可执行的计划。

/ 下载安装
keyword-deep-dive.skill双击,或拖进 Claude 桌面版 / Cowork,即完成安装↓ .skill↓ .zip
用别的 agent?下载 .zip 解压,把文件夹放进它的技能目录
Claude Code~/.claude/skills/(项目级 .claude/skills/)
Codex CLI~/.codex/skills/
Cursor自动读取上面两处目录
其他工具见其文档的「skills」目录;两个下载是同一份文件,只是名字不同
/ 通过 npx 安装 校验哈希
npx oh-my-skill add inhouseseo/superseo-skills/keyword-deep-dive
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- inhouseseo/superseo-skills/keyword-deep-dive
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify inhouseseo/superseo-skills/keyword-deep-dive
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

技能原文 SKILL.md作者撰写 · Apache-2.0 · 0d8b6fc

Keyword Deep Dive

A complete picture of a single keyword's opportunity — intent, competition, what it takes to rank, and a specific 90-day plan. The agent does all the research itself. No keyword tool required.

Input

Target keyword (required). Optionally: a URL if you already have a page targeting this keyword.

If the user didn't provide a keyword, ask for it before proceeding.

Role

You are a senior SEO strategist specializing in keyword intelligence and SERP analysis.

Step 1: Research the SERP

Google the target keyword. Read the top 10 results in detail, the top 3 in full.

Note for each top 3:

  • Domain (note authority proxies: is it a known brand? Specialist vs generalist?)
  • Content format (guide / comparison / listicle / tool / video / product page)
  • Approximate word count
  • Unique angle or hook
  • Freshness signals (publish date, last updated)
  • E-E-A-T signals present
Step 2: Classify Intent

Classify dominant intent: Informational / Commercial Investigation / Transactional / Navigational.

Zero-click risk assessment:

  • Informational queries: roughly 60% of searches end without a click (Digital Bloom 2026 organic traffic report); mobile zero-click behavior reaches 77%
  • Featured snippet present: 42.9% CTR if we hold it, near-zero if we don't (First Page Sage 2026)
  • AI Overview present: organic CTR drops 58-61% for the top-ranking page (Ahrefs Dec 2025 / Seer Interactive); brands cited in the AI Overview earn 35% more clicks
  • Flag clearly if the keyword has structurally low click-through potential
Step 3: Assess SERP Features

What SERP features are active?

  • Featured snippet (what format — paragraph, list, table? Who holds it?)
  • People Also Ask (how many questions? What are they?)
  • AI Overview
  • Image pack / video carousel
  • Local pack
  • Site links
  • Knowledge panel
Step 4: SERP Volatility Signal

Can you tell if the SERP is stable or turbulent?

  • If top results look freshly updated / have "Updated YYYY" in the title → moderate volatility
  • If multiple top results are from different years (2021, 2024, 2026) → stable
  • If results are all dated past 6 months with news angles → turbulent
  • If you can't tell → say so, don't fabricate
Step 5: Competitive Read of Top 3

Fetch and read the top 3 pages. For each:

  • Key sections they cover
  • Word count
  • Internal linking patterns (what they link to)
  • What they cover that others don't
  • What they do that's genuinely hard to replicate (original data? First-party screenshots? Proprietary frameworks?)
Step 6: Output
Keyword Profile
  • Keyword | Apparent search intent | Estimated difficulty (Easy / Moderate / Hard based on SERP competition, not a KD score)
  • SERP features present and their CTR impact
  • Zero-click risk: Low / Medium / High
Competitive Read

For each of the top 3 competitors:

  • URL | Domain authority proxy | Format | Words (approx) | Unique angle | What they do best
Content Gaps (what's missing from top results)

Specific subtopics or angles that top-ranking pages don't cover well. These are where a new entrant can differentiate.

Ranking Strategy

If the user has no existing page for this keyword:

Quick assessment:

  • Is this keyword worth pursuing? (Intent match to business? Traffic potential? Zero-click risk?)
  • Realistic timeline: Easy (3-6 months) / Moderate (6-12 months) / Hard (12-24 months authority play)

Content requirements:

  • Content type to build (matches SERP)
  • Word count target (average of top 5 + 10%)
  • Sections that MUST be covered (from competitive read)
  • Unique angle this page should take (from gap analysis)
  • E-E-A-T signals required

If the user already has a page ranking:

Position diagnosis:

  • Current position apparent from Google? (If not in top 100, note this)
  • Compared to the top 3, what's missing? Specific content depth? Word count? Intent alignment?

Optimization plan:

  • Quick wins (title/meta rewrite for CTR, add missing section, fix intent mismatch)
  • 30-day content plan (sections to add, depth to deepen)
  • Supporting cluster pages to create for internal linking
Title Tag & Meta Rewrites

Propose 2 title tag options (max 60 chars) and 1 meta description (max 160 chars). Each with reasoning.

Ranking Timeline Estimate
  • Current position (or "unranked"): [X]
  • Realistic 90-day target: [Y]
  • Effort: Low (CTR fix) / Medium (content update) / High (new content + internal links)
What to Ignore
  • KD scores alone — meaningless without reading the actual SERP. Use the read above instead.
  • High volume, zero-click keywords — impressions without clicks aren't worth the effort unless you need brand exposure
  • Fighting Wikipedia, Reddit, or news aggregators for positions 1-3 — different content types, unwinnable
Next Step

Need a full content brief to execute the ranking plan? Use content-brief with this keyword as context.

Bundled references

Load from references/ only when the step calls for them.

  • ctr-benchmarks-by-position.md — the full 2026 position → CTR curve with AI-Overview-adjusted numbers (Step 2, when estimating traffic potential)
  • zero-click-and-aio-impact.md — how AI Overviews, featured snippets, and zero-click SERPs change the ranking math (Step 2, for the zero-click risk line)
  • serp-features-recognition.md — checklist for detecting every SERP feature visually (Step 3, if uncertain which features are active)
  • serp-volatility-heuristics.md — how to read SERP volatility without access to a rank tracker (Step 4, when volatility is ambiguous)
  • difficulty-from-serp-signals.md — how to estimate KD from reading the top 10 instead of a tool score (Step 5, when classifying Easy/Moderate/Hard)
  • intent-matching.md — the full Informational / Commercial / Transactional / Navigational decision framework (Step 2, when intent is mixed)
按 Apache-2.0 许可原样转载,未经改动 · 在 GitHub 查看 →

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