Keyword Deep Dive
This does the keyword research grind so you don't have to. It Googles your target keyword, reads the top 10 results (top 3 in full), classifies intent, checks for SERP features, and assesses zero-click risk using 2026 CTR data that factors in AI Overviews. Then it gives you a 90-day ranking plan with content requirements, gap analysis, and title tag rewrites. The honest take: it's built for the reality that 60% of searches now end without a click, so it flags unwinnable fights early. If you're tired of chasing volume metrics that don't convert to traffic, or you want competitor intel without manually opening 10 tabs, this handles the research layer.
- skills.sh installs
- 144
- GitHub stars
- 391
- last updated
- May 12, 2026
Install
$ npx -y skills add inhouseseo/superseo-skills --skill keyword-deep-dive --agent claude-codeInstalls into .claude/skills of the current project.
Files
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.
Sponsors
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- Repository
- github.com/inhouseseo/superseo-skills
- Categories
- Data Science & ML, Marketing & SEO
- License
- Apache-2.0
- First seen
- Jun 11, 2026
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