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Agent skill

SEO Dataforseo

by sickn33 in sickn33/agentic-awesome-skills

Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data.

MITAuto-check: notesMarketing & SEO

Install SEO Dataforseo

skills CLI
$ npx skills add sickn33/agentic-awesome-skills --skill seo-dataforseo -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install sickn33/agentic-awesome-skills seo-dataforseo --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/seo-dataforseo .claude/skills/seo-dataforseo && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
seo-dataforseo
GitHub stars
47k
Used in
2 other repos
Token cost
~4.4k tokens
SKILL.md length
1,716 words
Files
1
Skills in repo
1,493
Repo updated
First seen
Licence
MIT

At a glance

Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data.

  • Works in 4 steps: Search LLM mentions with… → Get top cited domains with… → Get top cited pages with… → …
  • The user needs real SEO data rather than static guidance
  • SKILL.md covers When to Use, Prerequisites, API Credit Awareness and Quick Reference, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

SEO Dataforseo is an agent skill from sickn33/agentic-awesome-skills. Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. Trigger when the user needs real SEO data rather than static guidance.

Its SKILL.md is about 4.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Link building, Competitor analysis and AI search optimization. It works with YouTube. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.

When your agent uses it

  • The user needs real SEO data rather than static guidance
  • Tasks that involve Link building
  • Tasks that involve Competitor analysis

Example prompts

  • “/seo-dataforseo”

Requirements

  • Pre-approved tools (allowed-tools): Read, Grep, Glob, Bash, WebFetch, Write

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Search LLM mentions with ai_opt_llm_ment_search (find mentions of a brand/keyword across LLM responses)
  2. Get top cited domains with ai_opt_llm_ment_top_domains (which domains are most cited for this topic)
  3. Get top cited pages with ai_opt_llm_ment_top_pages (which specific pages are most cited)
  4. Get aggregate metrics with ai_opt_llm_ment_agg_metrics (overall mention volume, trends)

What it can do on your machine

Read from SKILL.md and the folder at commit 680176d. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Grep
    • Glob
    • Bash
    • WebFetch
    • Write

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

SEO Dataforseo loads about 4.4k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 1,716 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~4.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Grep, Glob, Bash, WebFetch, Write

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 680176d, republished under its MIT licence (© sickn33). 1,716 words, ~4,398 tokens.

Download SKILL.mdSave it as .claude/skills/seo-dataforseo/SKILL.md (or your agent's skills folder).
name
seo-dataforseo
description
Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. Trigger when the user needs real SEO data rather than static guidance.
allowed-tools
Read, Grep, Glob, Bash, WebFetch, Write
risk
critical
source
https://github.com/AgriciDaniel/claude-seo
date_added
2026-03-21
user-invokable
true
argument-hint
[command] [query]

DataForSEO: Live SEO Data (Extension)

Live search data via the DataForSEO MCP server. Provides real-time SERP results, keyword metrics, backlink profiles, on-page analysis, content analysis, business listings, AI visibility checking, and LLM mention tracking across 9 API modules with 79 MCP tools.

When to Use

  • Use when the user needs live SEO data instead of static best-practice guidance.
  • Use for SERP lookups, keyword volumes, backlink checks, competitor data, or AI visibility tracking.
  • Use only when the DataForSEO extension is available in the environment.

Prerequisites

This skill requires the DataForSEO extension to be installed:

bash
./extensions/dataforseo/install.sh

Check availability: Before using any DataForSEO tool, verify the MCP server is connected by checking if serp_organic_live_advanced or any DataForSEO tool is available. If tools are not available, inform the user the extension is not installed and provide install instructions.

API Credit Awareness

DataForSEO charges per API call. Be efficient:

  • Prefer bulk endpoints over multiple single calls
  • Use default parameters (US, English) unless user specifies otherwise
  • Cache results mentally within a session; don't re-fetch the same data
  • Warn user before running expensive operations (full backlink crawls, large keyword lists)

Quick Reference

CommandWhat it does
/seo dataforseo serp <keyword>Google organic SERP results
/seo dataforseo serp-youtube <keyword>YouTube search results
/seo dataforseo youtube <video_id>YouTube video deep analysis
/seo dataforseo keywords <seed>Keyword ideas and suggestions
/seo dataforseo volume <keywords>Search volume for keywords
/seo dataforseo difficulty <keywords>Keyword difficulty scores
/seo dataforseo intent <keywords>Search intent classification
/seo dataforseo trends <keyword>Google Trends data
/seo dataforseo backlinks <domain>Full backlink profile
/seo dataforseo competitors <domain>Competitor domain analysis
/seo dataforseo ranked <domain>Ranked keywords for domain
/seo dataforseo intersection <domains>Keyword/backlink overlap
/seo dataforseo traffic <domains>Bulk traffic estimation
/seo dataforseo subdomains <domain>Subdomains with ranking data
/seo dataforseo top-searches <domain>Top queries mentioning domain
/seo dataforseo onpage <url>On-page analysis (Lighthouse + parsing)
/seo dataforseo tech <domain>Technology stack detection
/seo dataforseo whois <domain>WHOIS registration data
/seo dataforseo content <keyword/url>Content analysis and trends
/seo dataforseo listings <keyword>Business listings search
/seo dataforseo ai-scrape <query>ChatGPT web scraper for GEO
/seo dataforseo ai-mentions <keyword>LLM mention tracking for GEO

SERP Analysis

/seo dataforseo serp <keyword>

Fetch live Google organic search results.

MCP tools: serp_organic_live_advanced

Default parameters: location_code=2840 (US), language_code=en, device=desktop, depth=100

Also supports: The serp_organic_live_advanced tool supports Google, Bing, and Yahoo via the se parameter. Specify "bing" or "yahoo" to switch search engines.

Output: Rank, URL, title, description, domain, featured snippets, AI overview references, People Also Ask.

/seo dataforseo serp-youtube <keyword>

Fetch YouTube search results. Valuable for GEO. YouTube mentions correlate most strongly with AI citations.

MCP tools: serp_youtube_organic_live_advanced

Output: Video title, channel, views, upload date, description, URL.

/seo dataforseo youtube <video_id>

Deep analysis of a specific YouTube video: info, comments, and subtitles. YouTube mentions have the strongest correlation (0.737) with AI visibility, making this critical for GEO analysis.

MCP tools: serp_youtube_video_info_live_advanced, serp_youtube_video_comments_live_advanced, serp_youtube_video_subtitles_live_advanced

Parameters: video_id (the YouTube video ID, e.g., "dQw4w9WgXcQ")

Output: Video metadata (title, channel, views, likes, description), top comments with engagement, subtitle/transcript text.

Keyword Research

/seo dataforseo keywords <seed>

Generate keyword ideas, suggestions, and related terms from a seed keyword.

MCP tools: dataforseo_labs_google_keyword_ideas, dataforseo_labs_google_keyword_suggestions, dataforseo_labs_google_related_keywords

Default parameters: location_code=2840 (US), language_code=en, limit=50

Output: Keyword, search volume, CPC, competition level, keyword difficulty, trend.

/seo dataforseo volume <keywords>

Get search volume and metrics for a list of keywords.

MCP tools: kw_data_google_ads_search_volume

Parameters: keywords (array, comma-separated), location_code, language_code

Output: Keyword, monthly search volume, CPC, competition, monthly trend data.

/seo dataforseo difficulty <keywords>

Calculate keyword difficulty scores for ranking competitiveness.

MCP tools: dataforseo_labs_bulk_keyword_difficulty

Parameters: keywords (array), location_code, language_code

Output: Keyword, difficulty score (0-100), interpretation (Easy/Medium/Hard/Very Hard).

/seo dataforseo intent <keywords>

Classify keywords by user search intent.

MCP tools: dataforseo_labs_search_intent

Parameters: keywords (array), location_code, language_code

Output: Keyword, intent type (informational, navigational, commercial, transactional), confidence score.

Analyze keyword trends over time using Google Trends data.

MCP tools: kw_data_google_trends_explore

Parameters: keywords (array), location_code, date_from, date_to, language_code

Output: Keyword, time series data, trend direction, seasonality signals.

Domain & Competitor Analysis

Comprehensive backlink profile analysis.

MCP tools: backlinks_summary, backlinks_backlinks, backlinks_anchors, backlinks_referring_domains, backlinks_bulk_spam_score, backlinks_timeseries_summary

Default parameters: limit=100 per sub-call

Output: Total backlinks, referring domains, domain rank, spam score, top anchors, new/lost backlinks over time, dofollow ratio, top referring domains.

/seo dataforseo competitors <domain>

Identify competing domains and estimate traffic.

MCP tools: dataforseo_labs_google_competitors_domain, dataforseo_labs_google_domain_rank_overview, dataforseo_labs_bulk_traffic_estimation

Output: Competitor domains, keyword overlap %, estimated traffic, domain rank, common keywords.

/seo dataforseo ranked <domain>

List keywords a domain ranks for with positions and page data.

MCP tools: dataforseo_labs_google_ranked_keywords, dataforseo_labs_google_relevant_pages

Default parameters: limit=100, location_code=2840

Output: Keyword, position, URL, search volume, traffic share, SERP features.

/seo dataforseo intersection <domain1> <domain2> [...]

Find shared keywords and backlink sources across 2-20 domains.

MCP tools: dataforseo_labs_google_domain_intersection, backlinks_domain_intersection

Parameters: domains (2-20 array)

Output: Shared keywords with positions per domain, shared backlink sources, unique keywords per domain.

/seo dataforseo traffic <domains>

Estimate organic search traffic for one or more domains.

MCP tools: dataforseo_labs_bulk_traffic_estimation

Parameters: domains (array)

Output: Domain, estimated organic traffic, estimated traffic cost, top keywords.

/seo dataforseo subdomains <domain>

Enumerate subdomains with their ranking data and traffic estimates.

MCP tools: dataforseo_labs_google_subdomains

Parameters: target (domain), location_code, language_code

Output: Subdomain, ranked keywords count, estimated traffic, organic cost.

/seo dataforseo top-searches <domain>

Find the most popular search queries that mention a specific domain in results.

MCP tools: dataforseo_labs_google_top_searches

Parameters: target (domain), location_code, language_code

Output: Query, search volume, domain position, SERP features, traffic share.

Technical / On-Page

/seo dataforseo onpage <url>

Run on-page analysis including Lighthouse audit and content parsing.

MCP tools: on_page_instant_pages, on_page_content_parsing, on_page_lighthouse

Usage:

  • on_page_instant_pages:Quick page analysis (status codes, meta tags, content size, page timing, broken links, on-page checks)
  • on_page_content_parsing:Extract and parse page content (plain text, word count, structure)
  • on_page_lighthouse:Full Lighthouse audit (performance score, accessibility, best practices, SEO, Core Web Vitals)

Output: Pages crawled, status codes, meta tags, titles, content size, load times, Lighthouse scores, broken links, resource analysis.

/seo dataforseo tech <domain>

Detect technologies used on a domain.

MCP tools: domain_analytics_technologies_domain_technologies

Output: Technology name, version, category (CMS, analytics, CDN, framework, etc.).

/seo dataforseo whois <domain>

Retrieve WHOIS registration data.

MCP tools: domain_analytics_whois_overview

Output: Registrar, creation date, expiration date, nameservers, registrant info (if public).

Content & Business Data

Show full SKILL.md (700 more words)Show less
/seo dataforseo content <keyword/url>

Analyze content quality, search for content by topic, and track phrase trends.

MCP tools: content_analysis_search, content_analysis_summary, content_analysis_phrase_trends

Parameters: keyword (for search/trends) or URL (for summary)

Output: Content matches with quality scores, sentiment analysis, readability metrics, phrase trend data over time.

/seo dataforseo listings <keyword>

Search business listings for local SEO competitive analysis.

MCP tools: business_data_business_listings_search

Parameters: keyword, location (optional)

Output: Business name, description, category, address, phone, domain, rating, review count, claimed status.

AI Visibility / GEO

/seo dataforseo ai-scrape <query>

Scrape what ChatGPT web search returns for a query. Real GEO visibility check: see which sources ChatGPT cites for your target keywords.

MCP tools: ai_optimization_chat_gpt_scraper

Parameters: query, location_code (optional), language_code (optional). Use ai_optimization_chat_gpt_scraper_locations to look up available locations.

Output: ChatGPT response content, cited sources/URLs, referenced domains.

/seo dataforseo ai-mentions <keyword>

Track how LLMs mention brands, domains, and topics. Critical for GEO. Measures actual AI visibility across multiple LLM platforms.

MCP tools: ai_opt_llm_ment_search, ai_opt_llm_ment_top_domains, ai_opt_llm_ment_top_pages, ai_opt_llm_ment_agg_metrics

Parameters: keyword, location_code (optional), language_code (optional). Use ai_opt_llm_ment_loc_and_lang for available locations/languages and ai_optimization_llm_models for supported LLM models.

Workflow:

  1. Search LLM mentions with ai_opt_llm_ment_search (find mentions of a brand/keyword across LLM responses)
  2. Get top cited domains with ai_opt_llm_ment_top_domains (which domains are most cited for this topic)
  3. Get top cited pages with ai_opt_llm_ment_top_pages (which specific pages are most cited)
  4. Get aggregate metrics with ai_opt_llm_ment_agg_metrics (overall mention volume, trends)

Output: LLM mention count, top cited domains with frequency, top cited pages, mention trends over time, cross-platform visibility scores.

Advanced: Use ai_opt_llm_ment_cross_agg_metrics for cross-model comparison (how mentions differ across ChatGPT, Claude, Perplexity, etc.).

Available Utility Tools

These DataForSEO tools are available for internal use by the agent but do not have dedicated commands:

  • serp_locations:Location code lookups for SERP queries
  • serp_youtube_locations:Location code lookups for YouTube queries
  • kw_data_google_ads_locations:Location lookups for keyword data
  • kw_data_dfs_trends_demography:Demographic data for trend analysis
  • kw_data_dfs_trends_subregion_interests:Subregion interest data for trends
  • kw_data_dfs_trends_explore:DFS proprietary trends data
  • kw_data_google_trends_categories:Google Trends category lookups
  • dataforseo_labs_google_keyword_overview:Quick keyword metrics overview
  • dataforseo_labs_google_historical_serp:Historical SERP results for a keyword
  • dataforseo_labs_google_serp_competitors:Competitors for a specific SERP
  • dataforseo_labs_google_keywords_for_site:Keywords a site ranks for (alternative to ranked)
  • dataforseo_labs_google_page_intersection:Page-level intersection analysis
  • dataforseo_labs_google_historical_rank_overview:Historical domain rank data
  • dataforseo_labs_google_historical_keyword_data:Historical keyword metrics
  • dataforseo_labs_available_filters:Available filter options for Labs endpoints
  • backlinks_competitors:Find domains with similar backlink profiles
  • backlinks_bulk_backlinks:Bulk backlink counts for multiple targets
  • backlinks_bulk_new_lost_referring_domains:Bulk new/lost referring domains
  • backlinks_bulk_new_lost_backlinks:Bulk new/lost backlinks
  • backlinks_bulk_ranks:Bulk rank overview for multiple targets
  • backlinks_bulk_referring_domains:Bulk referring domain counts
  • backlinks_domain_pages_summary:Summary of pages on a domain
  • backlinks_domain_pages:List pages on a domain with backlink data
  • backlinks_page_intersection:Shared backlink sources at page level
  • backlinks_referring_networks:Referring network analysis
  • backlinks_timeseries_new_lost_summary:Track new/lost backlinks over time
  • backlinks_bulk_pages_summary:Bulk page summaries
  • backlinks_available_filters:Available filter options for Backlinks endpoints
  • domain_analytics_whois_available_filters:WHOIS filter options
  • domain_analytics_technologies_available_filters:Technology detection filter options
  • ai_opt_kw_data_loc_and_lang:AI optimization keyword data locations/languages
  • ai_optimization_keyword_data_search_volume:AI-specific keyword volume data
  • ai_optimization_llm_response:Direct LLM response analysis
  • ai_optimization_llm_mentions_filters:Available filters for LLM mentions
  • ai_optimization_chat_gpt_scraper_locations:Available locations for ChatGPT scraper

Cross-Skill Integration

When DataForSEO MCP tools are available, other claude-seo skills can leverage live data:

  • seo-audit:Spawn seo-dataforseo agent for real SERP, backlink, on-page, and listings data
  • seo-technical:Use on_page_instant_pages / on_page_lighthouse for real crawl data, domain_analytics_technologies_domain_technologies for stack detection
  • seo-content:Use kw_data_google_ads_search_volume, dataforseo_labs_bulk_keyword_difficulty, dataforseo_labs_search_intent for real keyword metrics, content_analysis_summary for content quality
  • seo-page:Use serp_organic_live_advanced for real SERP positions, backlinks_summary for link data
  • seo-geo:Use ai_optimization_chat_gpt_scraper for real ChatGPT visibility, ai_opt_llm_ment_search for LLM mention tracking
  • seo-plan:Use dataforseo_labs_google_competitors_domain, dataforseo_labs_google_domain_intersection, dataforseo_labs_bulk_traffic_estimation for real competitive intelligence

Error Handling

  • MCP server not connected: Report that DataForSEO extension is not installed or MCP server is unreachable. Suggest running ./extensions/dataforseo/install.sh
  • API authentication failed: Report invalid credentials. Suggest checking DataForSEO API login/password in MCP config
  • Rate limit exceeded: Report the limit hit and suggest waiting before retrying
  • No results returned: Report "no data found" for the query rather than guessing. Suggest broadening the query or checking location/language codes
  • Invalid location code: Report the error and suggest using the locations lookup tool to find the correct code

Output Formatting

Match existing claude-seo output patterns:

  • Use tables for comparative data
  • Prioritize issues as Critical > High > Medium > Low
  • Include specific, actionable recommendations
  • Show scores as XX/100 where applicable
  • Note data source as "DataForSEO (live)" to distinguish from static analysis

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/seo-dataforseo of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 680176d

Used in 2 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

SEO Dataforseo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

SEO Dataforseo compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
SEO Dataforseo this skillsickn33/agentic-awesome-skills47k2 repos~4.4kAutomated safety check: NotesMIT
SEO DataforseoAgriciDaniel/codex-seo7972 repos~4.6kAutomated safety check: PassMIT
DataForSEO Live SEO DataAgriciDaniel/claude-seo19k—~4.4kAutomated safety check: PassMIT
SEO Dataforseohashgraph-online/awesome-codex-plugins1.3k—~4.5kAutomated safety check: NotesMIT
DataForSEO SEO Toolkitzubair-trabzada/dataforseo-claude164—~3.2kAutomated safety check: NotesMIT
SEO APIseranking/seo-skills160—~4.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about SEO Dataforseo

What does SEO Dataforseo do?

Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data. SEO Dataforseo is an agent skill from sickn33/agentic-awesome-skills. Use DataForSEO for live SERPs, keyword metrics, backlinks, competitor analysis, on-page checks, and AI visibility data.

When should I use SEO Dataforseo?

SEO Dataforseo fits situations like: the user needs real SEO data rather than static guidance; tasks that involve Link building; tasks that involve Competitor analysis.

How do I install SEO Dataforseo in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill seo-dataforseo -a claude-code`. Or copy the skill folder (skills/seo-dataforseo in sickn33/agentic-awesome-skills) into .claude/skills/seo-dataforseo in your project. Claude Code loads it when a task matches its description.

How do I install SEO Dataforseo in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill seo-dataforseo -a codex`. Or copy the skill folder (skills/seo-dataforseo in sickn33/agentic-awesome-skills) into .agents/skills/seo-dataforseo in your project. Codex loads it when a task matches its description.

Can I use SEO Dataforseo in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill seo-dataforseo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/seo-dataforseo, .gemini/skills/seo-dataforseo, .github/skills/seo-dataforseo and .opencode/skills/seo-dataforseo in your project.

What does SEO Dataforseo need to run?

SKILL.md names no scripts, command-line tools or credentials: SEO Dataforseo is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Glob, Bash, WebFetch, Write.

Does SEO Dataforseo access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is SEO Dataforseo safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does SEO Dataforseo use?

SEO Dataforseo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does SEO Dataforseo use?

About 4.4k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to SEO Dataforseo?

Skills that share tags, products or a category with SEO Dataforseo: SEO Dataforseo (AgriciDaniel/codex-seo, 797 stars), DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 19k stars), SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars) and DataForSEO SEO Toolkit (zubair-trabzada/dataforseo-claude, 164 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains SEO Dataforseo?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,379 GitHub stars. The repository holds 1,493 skills in this directory. The repository was last updated on October 9, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.