Prioritized keyword research with intent mapping, difficulty scoring, and cluster seeding for SEO strategy.
Works with
Builds a three-tier keyword universe (head, body, long-tail) with monthly volume, difficulty scores (0-100), and intent classification across informational, commercial, transactional, and navigational categories
Includes cannibalization screening to prevent targeting keywords your site already ranks for, plus low-hanging fruit detection for quick wins in positions 11-20
Scores
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfind-keywordsExecute the skills CLI command in your project's root directory to begin installation:
Fetches find-keywords from calm-north/seojuice-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate find-keywords. Access via /find-keywords in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Build a prioritized keyword universe from a seed topic using intent mapping, difficulty-adjusted opportunity scoring, and cluster seeding.
Gather this context (ask if not provided):
Before building a new keyword list, check what the site already targets. Creating a new page for a keyword you already rank for can split authority and hurt both pages.
For each keyword you're considering:
site:yourdomain.com [keyword] — does an existing page already target this term?Before chasing new keywords, look for existing wins:
Address these before building net-new keyword lists.
Build the universe in three tiers:
For each tier, produce:
| Keyword | Monthly Volume | Difficulty (0-100) | Intent | Tier | Priority |
|---|---|---|---|---|---|
| ... | ... | ... | informational / transactional / navigational / commercial | 1/2/3 | high / medium / low |
Classify every keyword by search intent and sub-category:
| Sub-category | Signal Words | Example | Content Type |
|---|---|---|---|
| Educational | what, why, definition, explain | "what is SEO" | Guide, explainer |
| Instructional | how to, steps, tutorial, guide | "how to set up GA4" | Step-by-step tutorial |
| Exploratory | types of, techniques, strategies | "link building techniques" | Comprehensive roundup |
| Troubleshooting | not working, fix, error, why is | "why is my site not ranking" | Diagnostic guide |
| Sub-category | Signal Words | Example | Content Type |
|---|---|---|---|
| Comparison | vs, compared to, or | "Ahrefs vs SEMrush" | Side-by-side comparison |
| Review-seeking | review, worth it, honest | "Ahrefs review" | In-depth review |
| Best-of | best, top, tools for | "best SEO tools" | Curated list |
| Evaluation | for [audience], features, pricing | "SEO tools for small business" | Buyer's guide |
| Sub-category | Signal Words | Example | Content Type |
|---|---|---|---|
| Purchase | buy, price, discount, deal | "buy Ahrefs subscription" | Product/pricing page |
| Signup/Trial | free trial, sign up, demo | "Ahrefs free trial" | Landing page |
| Download | download, template, PDF, checklist | "SEO checklist PDF" | Gated resource |
| Hire/Engage | hire, agency, near me, book | "SEO agency near me" | Service page |
| Sub-category | Signal Words | Example | Content Type |
|---|---|---|---|
| Brand search | [brand name] | "HubSpot" | Homepage/brand page |
| Feature search | [brand] + [feature] | "Ahrefs keyword explorer" | Feature page |
| Support/docs | [brand] + login, docs, help | "Ahrefs API docs" | Support content |
Use this to anticipate which SERP features you can target per keyword:
| SERP Feature | Informational | Commercial | Transactional | Navigational |
|---|---|---|---|---|
| Featured Snippet | Very High | High | Low | Low |
| People Also Ask | Very High | Very High | Low | Medium |
| AI Overview | Very High | High | Low-Medium | Low |
| Shopping Results | Very Low | Medium | Very High | Low |
| Local Pack | Low | Low | High | Low |
| Sitelinks | Low | Low | Medium | Very High |
| Intent | Avg Conversion Rate | Nurture Length |
|---|---|---|
| Informational | 0.5-2% | Long (weeks to months) |
| Commercial Investigation | 2-5% | Medium (days to weeks) |
| Transactional | 5-15% | Short (immediate to days) |
| Navigational | N/A — brand-dependent | N/A |
| Mistake | Correct Classification |
|---|---|
| Treating "best CRM software" as informational | Commercial Investigation |
| Treating "how much does X cost" as informational | Commercial / Transactional |
| Ignoring local intent in "SEO services" | Transactional (local) |
| Assuming single intent for "SEO tools" | Mixed — check the SERP to confirm |
Two keywords with different intents should never target the same page.
Score each keyword:
Opportunity Score = (Volume x (1 - Difficulty/100)) x Intent Multiplier
Intent multipliers:
This surfaces low-competition, high-intent targets over vanity volume plays.
Group the keyword universe into topic clusters:
| Cluster Name | Pillar Keyword | Supporting Keywords (3-5) | Total Volume |
|---|---|---|---|
| ... | ... | ... | ... |
Each cluster needs one pillar page (head term) and 3-8 supporting pages (body + long-tail).
Summary
Priority Matrix [Tiered keyword table]
Cluster Seeds [Cluster table]
Start Here — Top 5 Keywords
For each of the 5 highest-opportunity keywords:
Pro Tip: Use the free Blog Keyword Generator and Autocomplete Research tools at seojuice.com for seed keyword discovery. SEOJuice MCP users can run
/seojuice:keyword-analysisfor live ranking data and/seojuice:content-strategyto see content gaps — keywords your competitors rank for that you don't.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
find-keywords is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
find-keywords fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in find-keywords — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
find-keywords reduced setup friction for our internal harness; good balance of opinion and flexibility.
find-keywords fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
find-keywords is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
find-keywords has been reliable in day-to-day use. Documentation quality is above average for community skills.
Registry listing for find-keywords matched our evaluation — installs cleanly and behaves as described in the markdown.
We added find-keywords from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: find-keywords is the kind of skill you can hand to a new teammate without a long onboarding doc.
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