egebese/dataseo-mcp/dataseo-seo-research

Claude Code and agent skill by egebese/dataseo-mcp

Trust tier 2
  • community
LLM review pending
Source check pending

Checking that the SKILL.md file is still in the repository.

Use DataSEO MCP for SEO research workflows including backlink analysis, keyword research, traffic checks, domain comparison, backlink opportunity discovery, AI search query planning, and SEO content briefs. Use this whenever the user asks to investigate a domain, compare competitors, plan SEO content, find backlink gaps, or generate search-intent queries with DataSEO MCP.

Install

npx vskill@latest install egebese/dataseo-mcp/dataseo-seo-research

SKILL.md

DataSEO SEO Research

Use this skill when a user wants SEO research through DataSEO MCP tools. The workflow should produce concise, decision-ready findings, not raw dumps.

Required Setup

Before calling Ahrefs-backed tools, ensure at least one CAPTCHA provider is configured:

  • CAPSOLVER_API_KEY
  • ANTICAPTCHA_API_KEY

AI query planning and content briefs improve when OPENROUTER_API_KEY is set. If it is missing, continue with non-AI SEO data and clearly mark AI output as unavailable.

Tool Selection

Choose the narrowest tool that answers the request:

User intentTool
Backlink profile for one domainget_backlinks_list
Keyword ideas from seed termskeyword_generator
Traffic estimate for a domain or URLget_traffic
Ranking difficulty / SERP snapshotkeyword_difficulty
AI search query ideas by intentai_search_queries
Quick domain health summarydomain_overview
Competitor comparisoncompare_domains
Link-building source gapsbacklink_opportunities
Article or landing-page briefseo_content_brief

Research Workflow

  1. Normalize all domains to bare domains unless the user asks for an exact URL.
  2. For one-domain audits, start with domain_overview, then deepen with

get_backlinks_list or keyword_generator only if needed.

  1. For competitor work, use compare_domains first, then

backlink_opportunities for link-building next steps.

  1. For content planning, use keyword_difficulty and keyword_generator; add

ai_search_queries or seo_content_brief when AI is configured.

  1. Summarize findings by priority: opportunity, evidence, recommended action.

Output Format

Use this structure unless the user asks for something else:

markdown
## Summary
-One-sentence SEO readout.
## Findings
-Domain/keyword evidence with metrics.
## Opportunities
-Prioritized actions and why they matter.
## Next Steps
-3-5 concrete tasks.

Safety and Quality

  • Do not claim live accuracy beyond the returned tool data.
  • Do not scrape or bypass sites outside the MCP provider behavior.
  • Do not expose API keys, CAPTCHA tokens, signed inputs, or raw provider

responses.

  • Prefer comparisons and patterns over long raw tables.
  • Mention when a domain or keyword appears missing from upstream data.

Examples

Input: "Analyze backlinks for suparank.io"

Action: Call get_backlinks_list(domain="suparank.io"), then summarize domain rating, referring domains, strongest sources, anchors, and link-building angles.

Input: "Compare suparank.io with its competitors"

Action: Call compare_domains(domains=["suparank.io", ...]), then report traffic/backlink differences and practical positioning notes.

Input: "Create a brief for AI SEO audit"

Action: Call seo_content_brief(keyword="AI SEO audit"); if AI is unavailable, fall back to keyword_difficulty and keyword_generator.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
186
Repository forks
26
7-day trend score
26

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/egebese/dataseo-mcp/dataseo-seo-research/badge)](https://verified-skill.com/skills/egebese/dataseo-mcp/dataseo-seo-research)

Something wrong with this skill or its page? Tell us.