Agent Skills › egebese/dataseo-mcp › dataseo-seo-research

dataseo-seo-research

GitHub

基于 DataSEO MCP 工具执行 SEO 研究，涵盖反向链接分析、关键词调研、流量评估、竞品对比及内容大纲生成。旨在提供决策就绪的简洁发现，而非原始数据堆砌。

skills/dataseo-seo-research/SKILL.md egebese/dataseo-mcp

触发场景

用户请求调查特定域名或网站需要对比竞争对手的 SEO 表现规划 SEO 内容策略或生成内容简报寻找反向链接机会或差距生成基于搜索意图的查询建议

安装

npx skills add egebese/dataseo-mcp --skill dataseo-seo-research -g -y

更多选项

不安装直接使用

npx skills use egebese/dataseo-mcp@dataseo-seo-research

指定 Agent (Claude Code)

npx skills add egebese/dataseo-mcp --skill dataseo-seo-research -a claude-code -g -y

安装 repo 全部 skill

npx skills add egebese/dataseo-mcp --all -g -y

预览 repo 内 skill

npx skills add egebese/dataseo-mcp --list

SKILL.md

Frontmatter

{
    "name": "dataseo-seo-research",
    "description": "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."
}

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 intent	Tool
Backlink profile for one domain	`get_backlinks_list`
Keyword ideas from seed terms	`keyword_generator`
Traffic estimate for a domain or URL	`get_traffic`
Ranking difficulty / SERP snapshot	`keyword_difficulty`
AI search query ideas by intent	`ai_search_queries`
Quick domain health summary	`domain_overview`
Competitor comparison	`compare_domains`
Link-building source gaps	`backlink_opportunities`
Article or landing-page brief	`seo_content_brief`

Research Workflow

Normalize all domains to bare domains unless the user asks for an exact URL.
For one-domain audits, start with domain_overview, then deepen with get_backlinks_list or keyword_generator only if needed.
For competitor work, use compare_domains first, then backlink_opportunities for link-building next steps.
For content planning, use keyword_difficulty and keyword_generator; add ai_search_queries or seo_content_brief when AI is configured.
Summarize findings by priority: opportunity, evidence, recommended action.

Output Format

Use this structure unless the user asks for something else:

## 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.

版本历史

a7b9b80 当前 2026-07-25 07:09

元信息

文件数: 0
版本: a7b9b80
Hash: 19fddbca
收录时间: 2026-07-25 07:09

dataseo-seo-research