SEO Content Brief Generator
AgriciDaniel/claude-seo
Builds research-backed SEO content briefs with competitor scoring, per-section word counts and page-type templates, for new pages or improving existing ones.
A skill your agent uses when planning to rank for a specific keyword.
Install Keyword Deep Dive
$ npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install inhouseseo/superseo-skills keyword-deep-dive --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/keyword-deep-dive .claude/skills/keyword-deep-dive && rm -rf skills-srcUse ~/.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/
Install the "keyword-deep-dive" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-dive into .claude/skills/keyword-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-deep-dive", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-diveType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install inhouseseo/superseo-skills keyword-deep-dive --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/keyword-deep-dive .agents/skills/keyword-deep-dive && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "keyword-deep-dive" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-dive into .agents/skills/keyword-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-deep-dive", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install inhouseseo/superseo-skills keyword-deep-dive --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/keyword-deep-dive .cursor/skills/keyword-deep-dive && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "keyword-deep-dive" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-dive into .cursor/skills/keyword-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-deep-dive", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/inhouseseo/superseo-skills.git --path skills/keyword-deep-dive--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install inhouseseo/superseo-skills keyword-deep-dive --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/keyword-deep-dive .gemini/skills/keyword-deep-dive && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "keyword-deep-dive" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-dive into .gemini/skills/keyword-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-deep-dive", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install inhouseseo/superseo-skills keyword-deep-diveInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/keyword-deep-dive .github/skills/keyword-deep-dive && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "keyword-deep-dive" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-dive into .github/skills/keyword-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-deep-dive", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install inhouseseo/superseo-skills keyword-deep-dive --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/inhouseseo/superseo-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/keyword-deep-dive .opencode/skills/keyword-deep-dive && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "keyword-deep-dive" agent skill from https://github.com/inhouseseo/superseo-skills/tree/main/skills/keyword-deep-dive into .opencode/skills/keyword-deep-dive/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "keyword-deep-dive", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
keyword-deep-dive- GitHub stars
- 352
- Token cost
- ~1.7k tokens
- SKILL.md length
- 850 words
- Files
- 7 (incl. references)
- Skills in repo
- 11
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when planning to rank for a specific keyword.
- Works in 6 steps: Research the SERP → Classify Intent → Assess SERP Features → …
- Planning to rank for a specific keyword
- SKILL.md covers Input, Role, Step 1: Research the SERP and Step 2: Classify Intent, plus 7 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Keyword Deep Dive is an agent skill from inhouseseo/superseo-skills. 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.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/ctr-benchmarks-by-position.md`, `references/difficulty-from-serp-signals.md` and `references/intent-matching.md`).
It sits in Marketing & SEO, covering Keyword research and Competitor analysis. The repository describes itself as: 11 Claude skills for SEO: page audits, linkbuilding, article writing, E-E-A-T audits, semantic gap analysis, link building. Methodology from Koray Tuğberk, Kyle Roof, and Lily…. The licence is Apache-2.0.
When your agent uses it
- Planning to rank for a specific keyword
- Tasks that involve Keyword research
- Tasks that involve Competitor analysis
Example prompts
- “/keyword-deep-dive”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 9cf22cc. 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
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
thedigitalbloom.comfirstpagesage.comahrefs.comseerinteractive.com
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
Keyword Deep Dive loads about 1.7k tokens when it runs, and up to ~11k if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 850 words of instructions outside code blocks.
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 inhouseseo/superseo-skills at commit 9cf22cc, republished under its Apache-2.0 licence (© inhouseseo). 850 words, ~1,652 tokens.
Download SKILL.mdSave it as
.claude/skills/keyword-deep-dive/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- keyword-deep-dive
- description
- 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.
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.
Show full SKILL.md (371 more words)Show less
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)
© inhouseseo, Apache-2.0. 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 6 other files (references) in skills/keyword-deep-dive of inhouseseo/superseo-skills.
- SKILL.md
- references/ctr-benchmarks-by-position.md
- references/difficulty-from-serp-signals.md
- references/intent-matching.md
- references/serp-features-recognition.md
- references/serp-volatility-heuristics.md
- references/zero-click-and-aio-impact.md
Open the folder on GitHubat commit 9cf22cc
Compare with similar skills
Keyword Deep Dive 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Keyword Deep Dive this skillinhouseseo/superseo-skills | 352 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| SEO Content Brief GeneratorAgriciDaniel/claude-seo | 19k | 2 repos | ~2.6k | Automated safety check: Pass | MIT | |
| SEO DataforseoAgriciDaniel/codex-seo | 799 | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Amazon Listing Competitor Analysisbrowser-act/skills | 6.1k | 1 repos | ~3.2k | Automated safety check: Pass | MIT | |
| DataForSEO SEO Toolkitzubair-trabzada/dataforseo-claude | 165 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Strategic SEO PlanningAgriciDaniel/claude-seo | 19k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Keyword Deep Dive
What does Keyword Deep Dive do?
A skill your agent uses when planning to rank for a specific keyword. Keyword Deep Dive is an agent skill from inhouseseo/superseo-skills. Use when planning to rank for a specific keyword.
When should I use Keyword Deep Dive?
Keyword Deep Dive fits situations like: planning to rank for a specific keyword; tasks that involve Keyword research; tasks that involve Competitor analysis.
How do I install Keyword Deep Dive in Claude Code?
Run `npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a claude-code`. Or copy the skill folder (skills/keyword-deep-dive in inhouseseo/superseo-skills) into .claude/skills/keyword-deep-dive in your project. Claude Code loads it when a task matches its description.
How do I install Keyword Deep Dive in Codex?
Run `npx skills add inhouseseo/superseo-skills --skill keyword-deep-dive -a codex`. Or copy the skill folder (skills/keyword-deep-dive in inhouseseo/superseo-skills) into .agents/skills/keyword-deep-dive in your project. Codex loads it when a task matches its description.
Can I use Keyword Deep Dive 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 inhouseseo/superseo-skills --skill keyword-deep-dive -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/keyword-deep-dive, .gemini/skills/keyword-deep-dive, .github/skills/keyword-deep-dive and .opencode/skills/keyword-deep-dive in your project.
What does Keyword Deep Dive need to run?
SKILL.md names no scripts, command-line tools or credentials: Keyword Deep Dive is instructions for the agent only.
Does Keyword Deep Dive access the network?
SKILL.md names 4 domains. As links in the text: thedigitalbloom.com, firstpagesage.com, ahrefs.com and seerinteractive.com. This is read from the text; nothing was executed.
Is Keyword Deep Dive 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 Keyword Deep Dive use?
Keyword Deep Dive is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Keyword Deep Dive use?
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 9.5k tokens, read only when the agent opens those files.
What are the alternatives to Keyword Deep Dive?
Skills that share tags, products or a category with Keyword Deep Dive: SEO Content Brief Generator (AgriciDaniel/claude-seo, 19k stars), SEO Dataforseo (AgriciDaniel/codex-seo, 799 stars), Amazon Listing Competitor Analysis (browser-act/skills, 6.1k stars) and DataForSEO SEO Toolkit (zubair-trabzada/dataforseo-claude, 165 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Keyword Deep Dive?
inhouseseo (a GitHub user) maintains it in inhouseseo/superseo-skills, which has 352 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 3, 2026.
Source: inhouseseo/superseo-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.