Seo Keywords

Phase 0: Credential Preflight (REQUIRED — run BEFORE anything else)

Before running any of the steps below, always invoke the shared preflight check:

~/.claude/skills/seo/scripts/preflight.sh

If exit code is 0: credentials are configured — proceed with the rest of this skill silently.

If exit code is 2: the script prints the DataForSEO setup wizard to stdout. STOP, display that wizard to the user verbatim, and wait for them to paste credentials in this format:

login: their_email@example.com
password: their_api_password_here

When they reply:

1. Parse login: and password: from their message.
2. Write them to ~/.claude/skills/seo/.env:

`` DATAFORSEO_LOGIN= DATAFORSEO_PASSWORD= ``

1. chmod 600 ~/.claude/skills/seo/.env
2. Run a verification call: ~/.claude/skills/seo/scripts/keyword_research.py volume "test"
3. If verification succeeds (real JSON returned): tell the user "✅ Credentials verified. Running your command now..." and proceed with the original request.
4. If status 40104 — Please verify your account: tell the user to verify their account at https://app.dataforseo.com/, then say "continue" to retry.
5. If any other auth error: ask them to double-check the API password (the long alphanumeric string from https://app.dataforseo.com/api-access — not their account login password).

Never echo credentials back to the user, never include them in tool output, and never commit them.

---

SEO Keyword Research Skill

> Powered by: DataForSEO API — Keywords Data google_ads/search_volume + Labs related_keywords + Labs keyword_suggestions + Labs bulk_keyword_difficulty. > Cost: ~$0.05-0.10 per keyword run.

Inputs

• A seed keyword OR a domain (call it ``)
• Optional: --location (default United States), --language (default en)

Run

For a seed keyword:

~/.claude/skills/seo/scripts/keyword_research.py related "" --limit 200
~/.claude/skills/seo/scripts/keyword_research.py suggestions "" --limit 100

For a domain (find the keywords it already ranks for):

~/.claude/skills/seo/scripts/domain_overview.py ranked --target  --limit 200

Analysis

Group by search intent

Classify each keyword into one of:

• Informational — "how to", "what is", "guide", "tutorial"
• Commercial — "best", "review", "comparison", "vs"
• Transactional — "buy", "price", "deal", "near me", brand+product
• Navigational — brand names, specific URLs

Opportunity score per keyword

opportunity = search_volume / (keyword_difficulty + 10)

Higher = better. Surface the top 20 sorted by opportunity.

Keyword Score (0-100)

| Signal | Weight | |--------|--------| | Avg. search volume of top 50 keywords (log-scaled) | 30% | | Share of low-difficulty keywords (KD < 30) in top 50 | 25% | | Intent diversity (4 buckets present) | 15% | | CPC value (high CPC = commercial intent) | 15% | | Long-tail breadth (count of suggestions) | 15% |

Output: a Keyword Score with a one-sentence justification.

Return JSON shape (when called from /seo audit)

{
  "keyword_score": 78,
  "top_opportunities": [
    {"keyword": "...", "search_volume": 1000, "cpc": 2.5, "difficulty": 25, "intent": "commercial", "opportunity": 28.5},
    ...
  ],
  "intent_breakdown": {"informational": 45, "commercial": 32, "transactional": 18, "navigational": 5}
}

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: zubair-trabzada
• Source: zubair-trabzada/dataforseo-claude
• License: MIT

Install and usage instructions live in the source repository linked above.