openclaudia/openclaudia-skills1 file

Keyword Research

Perform keyword research using the SemRush API. Use when the user says "find keywords", "keyword research", "what should I rank for", "keyword ideas", "search volume", "keyword difficulty", "topic clusters", "content gaps", or asks about SEO keywords for a topic or niche.

Specification
Skill ID
openclaudia/openclaudia-skills/keyword-research
Publisher
openclaudia
Repository
openclaudia-skills
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

openclaudia/openclaudia-skills/keyword-researchInstalls these files
  • SKILL.md

What this skill tells the agent

Keyword Research Skill

You are an expert SEO keyword researcher. Use the SemRush API to find, analyze, and organize keywords into actionable strategies.

Prerequisites

This skill requires SEMRUSH_API_KEY. Check for it in environment variables or in ~/.claude/.env.global. If not found, inform the user:

This skill requires a SemRush API key. Set it via:
  export SEMRUSH_API_KEY=your_key_here
Or add it to ~/.claude/.env.global

SemRush API Endpoints

Use curl via the Bash tool for all API calls. The base URL is https://api.semrush.com/.

Core Endpoints

1. Keyword Overview (phrase_all)

https://api.semrush.com/?type=phrase_all&key={KEY}&phrase={keyword}&database={db}&export_columns=Ph,Nq,Cp,Co,Nr,Td

Columns: Ph=Keyword, Nq=Search Volume, Cp=CPC, Co=Competition, Nr=Number of Results, Td=Trend

2. Related Keywords (phrase_related)

https://api.semrush.com/?type=phrase_related&key={KEY}&phrase={keyword}&database={db}&export_columns=Ph,Nq,Cp,Co,Nr,Td&display_limit=50

3. Keyword Questions (phrase_questions)

https://api.semrush.com/?type=phrase_questions&key={KEY}&phrase={keyword}&database={db}&export_columns=Ph,Nq,Cp,Co,Nr,Td&display_limit=50

4. Domain Organic Keywords (domain_organic)

https://api.semrush.com/?type=domain_organic&key={KEY}&domain={domain}&database={db}&export_columns=Ph,Po,Nq,Cp,Co,Tr,Tc,Nr,Td&display_limit=100

Additional columns: Po=Position, Tr=Traffic, Tc=Traffic Cost

5. Keyword Difficulty (phrase_kdi)

https://api.semrush.com/?type=phrase_kdi&key={KEY}&phrase={keyword}&database={db}&export_columns=Ph,Kd

Columns: Kd=Keyword Difficulty (0-100)

Database Codes

  • us (United States - default)
  • uk (United Kingdom)
  • ca (Canada)
  • au (Australia)
  • de, fr, es, it, br, in, jp

Ask the user for target market if not specified. Default to us.

Research Process

Step 1: Understand the Brief

Ask or infer:

  • Niche/Topic: What is the site about?
  • Target audience: Who are they trying to reach?
  • Business model: How do they monetize? (SaaS, ecommerce, ads, affiliate)
  • Current domain: If they have one, pull existing rankings
  • Target market: Which country/language?
  • Competitors: Known competitors to analyze

Step 2: Seed Keyword Discovery

Generate 10-20 seed keywords based on the brief. Use three methods:

Method A: Brainstorm seeds from the topic

  • Core product/service terms
  • Problem terms ("how to fix...", "why is...")
  • Audience terms (job titles, demographics)
  • Alternative terms and synonyms

Method B: Pull competitor keywords using domain_organic for 2-3 competitor domains

Method C: Expand seeds using phrase_related and phrase_questions for each seed

Step 3: Analyze Each Keyword

For every keyword candidate, collect via API:

MetricSourceWhat it tells you
Search Volume (Nq)phrase_allMonthly searches
Keyword Difficulty (Kd)phrase_kdiHow hard to rank (0-100)
CPC (Cp)phrase_allCommercial value indicator
Competition (Co)phrase_allPPC competition (0-1)
Trend (Td)phrase_all12-month trend data
SERP Results (Nr)phrase_allTotal competing pages

Step 4: Classify by Search Intent

Categorize every keyword into one of four intents:

IntentSignalsExamplesContent Type
Informationalhow, what, why, guide, tutorial, tips"how to start a blog"Blog post, guide, video
Navigationalbrand names, specific product names, login"semrush login"Homepage, product page
Commercialbest, review, comparison, vs, top, alternatives"best SEO tools 2025"Comparison, review, listicle
Transactionalbuy, price, discount, coupon, free trial, sign up"semrush pricing"Landing page, product page

Intent classification rules:

  • "how to" / "what is" / "why" = Informational
  • "{brand} + {feature}" = Navigational
  • "best" / "top" / "vs" / "alternative" / "review" = Commercial Investigation
  • "buy" / "price" / "discount" / "free" / "download" / "sign up" = Transactional
  • If ambiguous, check the SERP: majority blog posts = informational, majority product pages = transactional

Step 5: Build Topic Clusters

Organize keywords into pillar-cluster structure:

Pillar Page: [Broad topic keyword - high volume, high difficulty]
  |
  +-- Cluster 1: [Subtopic keyword group]
  |     +-- Supporting keyword 1
  |     +-- Supporting keyword 2
  |     +-- Question keyword 1
  |
  +-- Cluster 2: [Subtopic keyword group]
  |     +-- Supporting keyword 1
  |     +-- Supporting keyword 2
  |
  +-- Cluster 3: ...

Clustering rules:

  • Pillar: Volume > 5,000, KD 40-80, broad topic
  • Cluster head: Volume 1,000-5,000, KD 20-50, specific subtopic
  • Supporting: Volume 100-1,000, KD < 30, long-tail variations
  • Each cluster should have 3-8 supporting keywords
  • Every supporting page links back to the pillar page

Step 6: Prioritize with the KOB Score

Calculate the Keyword Opposition to Benefit (KOB) score for prioritization:

KOB Score = (Search Volume * CTR Estimate * Business Value) / Keyword Difficulty

Where:
- CTR Estimate: Position 1 = 0.30, Pos 2 = 0.15, Pos 3 = 0.10 (use 0.15 as default)
- Business Value: 3 = direct revenue keyword, 2 = consideration keyword, 1 = awareness keyword
- Keyword Difficulty: 1-100 from SemRush (use max(KD, 1) to avoid division by zero)

Priority tiers:

  • KOB > 50: High priority - target first
  • KOB 20-50: Medium priority - target in months 2-3
  • KOB 5-20: Low priority - target later
  • KOB < 5: Deprioritize unless strategically important

Step 7: Find Content Gaps

Compare the user's domain against competitors:

  1. Pull top 100 keywords for each competitor via domain_organic
  2. Identify keywords where competitors rank but user does not
  3. Filter for keywords with KOB > 20
  4. These are content gap opportunities

Output Format

Present results in this structure:

# Keyword Research Report: {Topic/Niche}
**Date:** {date}
**Target Market:** {country}
**Total Keywords Found:** {count}
**Total Monthly Search Volume:** {sum}

## Top 20 Keywords by KOB Score

| # | Keyword | Volume | KD | CPC | Intent | KOB Score |
|---|---------|--------|-----|-----|--------|-----------|
| 1 | {keyword} | {vol} | {kd} | ${cpc} | {intent} | {kob} |
| ... | ... | ... | ... | ... | ... | ... |

## Topic Clusters

### Pillar: {Pillar keyword} (Volume: {vol}, KD: {kd})

| Cluster | Head Keyword | Volume | KD | Supporting Keywords |
|---------|-------------|--------|-----|---------------------|
| {name} | {keyword} | {vol} | {kd} | kw1, kw2, kw3 |

### Content Plan

| Priority | Keyword | Intent | Content Type | Est. Monthly Traffic |
|----------|---------|--------|-------------|---------------------|
| 1 | {keyword} | {intent} | {type} | {vol * 0.15} |
| ... | ... | ... | ... | ... |

## Question Keywords (FAQ Opportunities)

| Question | Volume | KD | Suggested Content |
|----------|--------|-----|-------------------|
| {question} | {vol} | {kd} | {content type} |

## Content Gaps vs. Competitors

| Keyword | Volume | KD | Competitor Ranking | Opportunity |
|---------|--------|-----|--------------------|-------------|
| {keyword} | {vol} | {kd} | {competitor}: #{pos} | {content type} |

## Recommended Next Steps

1. {Specific action item with keyword target}
2. ...

Tips for Better Results

  • Batch API calls to conserve API credits. Query related keywords in groups.
  • Always check trends. A keyword with declining volume may not be worth targeting.
  • CPC indicates money intent. High CPC keywords ($5+) usually have strong commercial intent even if not obvious.
  • Low KD is not always easy. If all top results are from DR 80+ sites, a KD of 20 may still be hard for a new site.

Use this skill in a project

Open any RiverX project, search the Skills panel for openclaudia/openclaudia-skills/keyword-research, and install it in one click.

Use this skill