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Keyword Deep Dive skill

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.

$npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive
View this skill on GitHubinhouseseo/superseo-skills/skills/keyword-deep-dive/SKILL.md
Pack stars
392
Pack installs
1.6k
Alyn Score
50/99
Updated
2 months ago
License
Apache-2.0
– views – installs via Alyn

Install Keyword Deep Dive

Pick your agent. Every command is ready to paste.

$npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads keyword-deep-dive when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the keyword-deep-dive skill”. In Codex, type $keyword-deep-dive.

The skill itself

SKILL.md

FolderGitHub

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. Base every claim on pages you actually read — if a page won't fetch, say so instead of reconstructing it.

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)

Tips for Keyword Deep Dive

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 11 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Keyword Deep Dive

What does the Keyword Deep Dive skill do?

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.

How do I install Keyword Deep Dive?

Run "npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Keyword Deep Dive work in Cursor and Codex?

Yes. Keyword Deep Dive uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Keyword Deep Dive free?

Keyword Deep Dive is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.

Who made Keyword Deep Dive?

Keyword Deep Dive is published by inhouseseo in the inhouseseo/superseo-skills repository, together with 10 other skills.

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