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SERP analysis (Google, Bing, Yahoo, YouTube), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says \"dataforseo\", \"live SERP\", \"keyword volume\", \"backlink data\", \"competitor data\", \"AI visibility check\", \"LLM mentions\", or \"real search data\".","ibragimov-oasis\u002Fname-navigator","ibragimov-oasis","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F240665573?v=4","01M6DF78Y45R8228FHAZ7G6JXM","IBRAGIMOV MUKHAMMADJON","01M6DF792RGGYNSN2BMSED45SJ",0,"MIT","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fextensions\u002Fdataforseo\u002Fskills\u002Fseo-dataforseo\u002FSKILL.md",[18,23,26,29,34],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000019","营销推广","SCENARIO","使用场景",{"categoryNo":24,"categoryName":25,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":30,"categoryName":31,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000033","数据分析师","PROFESSION","适用职业",{"categoryNo":35,"categoryName":36,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000035","市场营销",[38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57],"seo","seo dataforseo","intent","source\u002Fskills-seo","domain\u002Fseo","yahoo","bing","listings","volume","artifact","query","serp analysis","MCP","youtube","command","analysis","server","search","mcp server","google","2026-11-10 10:12:30",false,"---\nname: seo-dataforseo\ndescription: >\n  Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo,\n  YouTube), keyword research (volume, difficulty, intent, trends), backlink\n  profiles, on-page analysis (Lighthouse, content parsing), competitor analysis,\n  content analysis, business listings, AI visibility (ChatGPT scraper, LLM\n  mention tracking), and domain analytics. Requires DataForSEO extension\n  installed. Use when user says \"dataforseo\", \"live SERP\", \"keyword volume\",\n  \"backlink data\", \"competitor data\", \"AI visibility check\", \"LLM mentions\",\n  or \"real search data\".\nuser-invokable: true\nargument-hint: \"[command] [query]\"\nlicense: MIT\ncompatibility: \"Requires DataForSEO MCP server\"\nmetadata:\n  author: AgriciDaniel\n  version: \"1.6.1\"\n  category: seo\ntags:\n  - domain\u002Fseo\n  - artifact\u002Fskill\n  - source\u002Fskills-seo\n---\n\n# DataForSEO: Live SEO Data (Extension)\n\nLive search data via the DataForSEO MCP server. Provides real-time SERP results,\nkeyword metrics, backlink profiles, on-page analysis, content analysis, business\nlistings, AI visibility checking, and LLM mention tracking across\n9 API modules with 79 MCP tools.\n\n## Prerequisites\n\nThis skill requires the DataForSEO extension to be installed:\n```bash\n.\u002Fextensions\u002Fdataforseo\u002Finstall.sh\n```\n\n**Check availability:** Before using any DataForSEO tool, verify the MCP server\nis connected by checking if `serp_organic_live_advanced` or any DataForSEO tool\nis available. If tools are not available, inform the user the extension is not\ninstalled and provide install instructions.\n\n## API Credit Awareness\n\nDataForSEO charges per API call. Be efficient:\n- Prefer bulk endpoints over multiple single calls\n- Use default parameters (US, English) unless user specifies otherwise\n- Cache results mentally within a session; don't re-fetch the same data\n- Warn user before running expensive operations (full backlink crawls, large keyword lists)\n\n## Quick Reference\n\n| Command | What it does |\n|---------|-------------|\n| `\u002Fseo dataforseo serp \u003Ckeyword>` | Google organic SERP results |\n| `\u002Fseo dataforseo serp-youtube \u003Ckeyword>` | YouTube search results |\n| `\u002Fseo dataforseo youtube \u003Cvideo_id>` | YouTube video deep analysis |\n| `\u002Fseo dataforseo keywords \u003Cseed>` | Keyword ideas and suggestions |\n| `\u002Fseo dataforseo volume \u003Ckeywords>` | Search volume for keywords |\n| `\u002Fseo dataforseo difficulty \u003Ckeywords>` | Keyword difficulty scores |\n| `\u002Fseo dataforseo intent \u003Ckeywords>` | Search intent classification |\n| `\u002Fseo dataforseo trends \u003Ckeyword>` | Google Trends data |\n| `\u002Fseo dataforseo backlinks \u003Cdomain>` | Full backlink profile |\n| `\u002Fseo dataforseo competitors \u003Cdomain>` | Competitor domain analysis |\n| `\u002Fseo dataforseo ranked \u003Cdomain>` | Ranked keywords for domain |\n| `\u002Fseo dataforseo intersection \u003Cdomains>` | Keyword\u002Fbacklink overlap |\n| `\u002Fseo dataforseo traffic \u003Cdomains>` | Bulk traffic estimation |\n| `\u002Fseo dataforseo subdomains \u003Cdomain>` | Subdomains with ranking data |\n| `\u002Fseo dataforseo top-searches \u003Cdomain>` | Top queries mentioning domain |\n| `\u002Fseo dataforseo onpage \u003Curl>` | On-page analysis (Lighthouse + parsing) |\n| `\u002Fseo dataforseo tech \u003Cdomain>` | Technology stack detection |\n| `\u002Fseo dataforseo whois \u003Cdomain>` | WHOIS registration data |\n| `\u002Fseo dataforseo content \u003Ckeyword\u002Furl>` | Content analysis and trends |\n| `\u002Fseo dataforseo listings \u003Ckeyword>` | Business listings search |\n| `\u002Fseo dataforseo ai-scrape \u003Cquery>` | ChatGPT web scraper for GEO |\n| `\u002Fseo dataforseo ai-mentions \u003Ckeyword>` | LLM mention tracking for GEO |\n\n---\n\n## SERP Analysis\n\n### `\u002Fseo dataforseo serp \u003Ckeyword>`\n\nFetch live Google organic search results.\n\n**MCP tools:** `serp_organic_live_advanced`\n\n**Default parameters:** location_code=2840 (US), language_code=en, device=desktop, depth=100\n\n**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.\n\n**Output:** Rank, URL, title, description, domain, featured snippets, AI overview references, People Also Ask.\n\n### `\u002Fseo dataforseo serp-youtube \u003Ckeyword>`\n\nFetch YouTube search results. Valuable for GEO. YouTube mentions correlate most strongly with AI citations.\n\n**MCP tools:** `serp_youtube_organic_live_advanced`\n\n**Output:** Video title, channel, views, upload date, description, URL.\n\n### `\u002Fseo dataforseo youtube \u003Cvideo_id>`\n\nDeep 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.\n\n**MCP tools:** `serp_youtube_video_info_live_advanced`, `serp_youtube_video_comments_live_advanced`, `serp_youtube_video_subtitles_live_advanced`\n\n**Parameters:** video_id (the YouTube video ID, e.g., \"dQw4w9WgXcQ\")\n\n**Output:** Video metadata (title, channel, views, likes, description), top comments with engagement, subtitle\u002Ftranscript text.\n\n---\n\n## Keyword Research\n\n### `\u002Fseo dataforseo keywords \u003Cseed>`\n\nGenerate keyword ideas, suggestions, and related terms from a seed keyword.\n\n**MCP tools:** `dataforseo_labs_google_keyword_ideas`, `dataforseo_labs_google_keyword_suggestions`, `dataforseo_labs_google_related_keywords`\n\n**Default parameters:** location_code=2840 (US), language_code=en, limit=50\n\n**Output:** Keyword, search volume, CPC, competition level, keyword difficulty, trend.\n\n### `\u002Fseo dataforseo volume \u003Ckeywords>`\n\nGet search volume and metrics for a list of keywords.\n\n**MCP tools:** `kw_data_google_ads_search_volume`\n\n**Parameters:** keywords (array, comma-separated), location_code, language_code\n\n**Output:** Keyword, monthly search volume, CPC, competition, monthly trend data.\n\n### `\u002Fseo dataforseo difficulty \u003Ckeywords>`\n\nCalculate keyword difficulty scores for ranking competitiveness.\n\n**MCP tools:** `dataforseo_labs_bulk_keyword_difficulty`\n\n**Parameters:** keywords (array), location_code, language_code\n\n**Output:** Keyword, difficulty score (0-100), interpretation (Easy\u002FMedium\u002FHard\u002FVery Hard).\n\n### `\u002Fseo dataforseo intent \u003Ckeywords>`\n\nClassify keywords by user search intent.\n\n**MCP tools:** `dataforseo_labs_search_intent`\n\n**Parameters:** keywords (array), location_code, language_code\n\n**Output:** Keyword, intent type (informational, navigational, commercial, transactional), confidence score.\n\n### `\u002Fseo dataforseo trends \u003Ckeyword>`\n\nAnalyze keyword trends over time using Google Trends data.\n\n**MCP tools:** `kw_data_google_trends_explore`\n\n**Parameters:** keywords (array), location_code, date_from, date_to, language_code\n\n**Output:** Keyword, time series data, trend direction, seasonality signals.\n\n---\n\n## Domain & Competitor Analysis\n\n### `\u002Fseo dataforseo backlinks \u003Cdomain>`\n\nComprehensive backlink profile analysis.\n\n**MCP tools:** `backlinks_summary`, `backlinks_backlinks`, `backlinks_anchors`, `backlinks_referring_domains`, `backlinks_bulk_spam_score`, `backlinks_timeseries_summary`\n\n**Default parameters:** limit=100 per sub-call\n\n**Output:** Total backlinks, referring domains, domain rank, spam score, top anchors, new\u002Flost backlinks over time, dofollow ratio, top referring domains.\n\n### `\u002Fseo dataforseo competitors \u003Cdomain>`\n\nIdentify competing domains and estimate traffic.\n\n**MCP tools:** `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_rank_overview`, `dataforseo_labs_bulk_traffic_estimation`\n\n**Output:** Competitor domains, keyword overlap %, estimated traffic, domain rank, common keywords.\n\n### `\u002Fseo dataforseo ranked \u003Cdomain>`\n\nList keywords a domain ranks for with positions and page data.\n\n**MCP tools:** `dataforseo_labs_google_ranked_keywords`, `dataforseo_labs_google_relevant_pages`\n\n**Default parameters:** limit=100, location_code=2840\n\n**Output:** Keyword, position, URL, search volume, traffic share, SERP features.\n\n### `\u002Fseo dataforseo intersection \u003Cdomain1> \u003Cdomain2> [...]`\n\nFind shared keywords and backlink sources across 2-20 domains.\n\n**MCP tools:** `dataforseo_labs_google_domain_intersection`, `backlinks_domain_intersection`\n\n**Parameters:** domains (2-20 array)\n\n**Output:** Shared keywords with positions per domain, shared backlink sources, unique keywords per domain.\n\n### `\u002Fseo dataforseo traffic \u003Cdomains>`\n\nEstimate organic search traffic for one or more domains.\n\n**MCP tools:** `dataforseo_labs_bulk_traffic_estimation`\n\n**Parameters:** domains (array)\n\n**Output:** Domain, estimated organic traffic, estimated traffic cost, top keywords.\n\n### `\u002Fseo dataforseo subdomains \u003Cdomain>`\n\nEnumerate subdomains with their ranking data and traffic estimates.\n\n**MCP tools:** `dataforseo_labs_google_subdomains`\n\n**Parameters:** target (domain), location_code, language_code\n\n**Output:** Subdomain, ranked keywords count, estimated traffic, organic cost.\n\n### `\u002Fseo dataforseo top-searches \u003Cdomain>`\n\nFind the most popular search queries that mention a specific domain in results.\n\n**MCP tools:** `dataforseo_labs_google_top_searches`\n\n**Parameters:** target (domain), location_code, language_code\n\n**Output:** Query, search volume, domain position, SERP features, traffic share.\n\n---\n\n## Technical \u002F On-Page\n\n### `\u002Fseo dataforseo onpage \u003Curl>`\n\nRun on-page analysis including Lighthouse audit and content parsing.\n\n**MCP tools:** `on_page_instant_pages`, `on_page_content_parsing`, `on_page_lighthouse`\n\n**Usage:**\n- `on_page_instant_pages`:Quick page analysis (status codes, meta tags, content size, page timing, broken links, on-page checks)\n- `on_page_content_parsing`:Extract and parse page content (plain text, word count, structure)\n- `on_page_lighthouse`:Full Lighthouse audit (performance score, accessibility, best practices, SEO, Core Web Vitals)\n\n**Output:** Pages crawled, status codes, meta tags, titles, content size, load times, Lighthouse scores, broken links, resource analysis.\n\n### `\u002Fseo dataforseo tech \u003Cdomain>`\n\nDetect technologies used on a domain.\n\n**MCP tools:** `domain_analytics_technologies_domain_technologies`\n\n**Output:** Technology name, version, category (CMS, analytics, CDN, framework, etc.).\n\n### `\u002Fseo dataforseo whois \u003Cdomain>`\n\nRetrieve WHOIS registration data.\n\n**MCP tools:** `domain_analytics_whois_overview`\n\n**Output:** Registrar, creation date, expiration date, nameservers, registrant info (if public).\n\n---\n\n## Content & Business Data\n\n### `\u002Fseo dataforseo content \u003Ckeyword\u002Furl>`\n\nAnalyze content quality, search for content by topic, and track phrase trends.\n\n**MCP tools:** `content_analysis_search`, `content_analysis_summary`, `content_analysis_phrase_trends`\n\n**Parameters:** keyword (for search\u002Ftrends) or URL (for summary)\n\n**Output:** Content matches with quality scores, sentiment analysis, readability metrics, phrase trend data over time.\n\n### `\u002Fseo dataforseo listings \u003Ckeyword>`\n\nSearch business listings for local SEO competitive analysis.\n\n**MCP tools:** `business_data_business_listings_search`\n\n**Parameters:** keyword, location (optional)\n\n**Output:** Business name, description, category, address, phone, domain, rating, review count, claimed status.\n\n---\n\n## AI Visibility \u002F GEO\n\n### `\u002Fseo dataforseo ai-scrape \u003Cquery>`\n\nScrape what ChatGPT web search returns for a query. Real GEO visibility check: see which sources ChatGPT cites for your target keywords.\n\n**MCP tools:** `ai_optimization_chat_gpt_scraper`\n\n**Parameters:** query, location_code (optional), language_code (optional). Use `ai_optimization_chat_gpt_scraper_locations` to look up available locations.\n\n**Output:** ChatGPT response content, cited sources\u002FURLs, referenced domains.\n\n### `\u002Fseo dataforseo ai-mentions \u003Ckeyword>`\n\nTrack how LLMs mention brands, domains, and topics. Critical for GEO. Measures actual AI visibility across multiple LLM platforms.\n\n**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`\n\n**Parameters:** keyword, location_code (optional), language_code (optional). Use `ai_opt_llm_ment_loc_and_lang` for available locations\u002Flanguages and `ai_optimization_llm_models` for supported LLM models.\n\n**Workflow:**\n1. Search LLM mentions with `ai_opt_llm_ment_search` (find mentions of a brand\u002Fkeyword across LLM responses)\n2. Get top cited domains with `ai_opt_llm_ment_top_domains` (which domains are most cited for this topic)\n3. Get top cited pages with `ai_opt_llm_ment_top_pages` (which specific pages are most cited)\n4. Get aggregate metrics with `ai_opt_llm_ment_agg_metrics` (overall mention volume, trends)\n\n**Output:** LLM mention count, top cited domains with frequency, top cited pages, mention trends over time, cross-platform visibility scores.\n\n**Advanced:** Use `ai_opt_llm_ment_cross_agg_metrics` for cross-model comparison (how mentions differ across ChatGPT, Claude, Perplexity, etc.).\n\n---\n\n## Available Utility Tools\n\nThese DataForSEO tools are available for internal use by the agent but do not have dedicated commands:\n\n- `serp_locations`:Location code lookups for SERP queries\n- `serp_youtube_locations`:Location code lookups for YouTube queries\n- `kw_data_google_ads_locations`:Location lookups for keyword data\n- `kw_data_dfs_trends_demography`:Demographic data for trend analysis\n- `kw_data_dfs_trends_subregion_interests`:Subregion interest data for trends\n- `kw_data_dfs_trends_explore`:DFS proprietary trends data\n- `kw_data_google_trends_categories`:Google Trends category lookups\n- `dataforseo_labs_google_keyword_overview`:Quick keyword metrics overview\n- `dataforseo_labs_google_historical_serp`:Historical SERP results for a keyword\n- `dataforseo_labs_google_serp_competitors`:Competitors for a specific SERP\n- `dataforseo_labs_google_keywords_for_site`:Keywords a site ranks for (alternative to ranked)\n- `dataforseo_labs_google_page_intersection`:Page-level intersection analysis\n- `dataforseo_labs_google_historical_rank_overview`:Historical domain rank data\n- `dataforseo_labs_google_historical_keyword_data`:Historical keyword metrics\n- `dataforseo_labs_available_filters`:Available filter options for Labs endpoints\n- `backlinks_competitors`:Find domains with similar backlink profiles\n- `backlinks_bulk_backlinks`:Bulk backlink counts for multiple targets\n- `backlinks_bulk_new_lost_referring_domains`:Bulk new\u002Flost referring domains\n- `backlinks_bulk_new_lost_backlinks`:Bulk new\u002Flost backlinks\n- `backlinks_bulk_ranks`:Bulk rank overview for multiple targets\n- `backlinks_bulk_referring_domains`:Bulk referring domain counts\n- `backlinks_domain_pages_summary`:Summary of pages on a domain\n- `backlinks_domain_pages`:List pages on a domain with backlink data\n- `backlinks_page_intersection`:Shared backlink sources at page level\n- `backlinks_referring_networks`:Referring network analysis\n- `backlinks_timeseries_new_lost_summary`:Track new\u002Flost backlinks over time\n- `backlinks_bulk_pages_summary`:Bulk page summaries\n- `backlinks_available_filters`:Available filter options for Backlinks endpoints\n- `domain_analytics_whois_available_filters`:WHOIS filter options\n- `domain_analytics_technologies_available_filters`:Technology detection filter options\n- `ai_opt_kw_data_loc_and_lang`:AI optimization keyword data locations\u002Flanguages\n- `ai_optimization_keyword_data_search_volume`:AI-specific keyword volume data\n- `ai_optimization_llm_response`:Direct LLM response analysis\n- `ai_optimization_llm_mentions_filters`:Available filters for LLM mentions\n- `ai_optimization_chat_gpt_scraper_locations`:Available locations for ChatGPT scraper\n\n## Cross-Skill Integration\n\nWhen DataForSEO MCP tools are available, other claude-seo skills can leverage live data:\n\n- **seo-audit**:Spawn `seo-dataforseo` agent for real SERP, backlink, on-page, and listings data\n- **seo-technical**:Use `on_page_instant_pages` \u002F `on_page_lighthouse` for real crawl data, `domain_analytics_technologies_domain_technologies` for stack detection\n- **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\n- **seo-page**:Use `serp_organic_live_advanced` for real SERP positions, `backlinks_summary` for link data\n- **seo-geo**:Use `ai_optimization_chat_gpt_scraper` for real ChatGPT visibility, `ai_opt_llm_ment_search` for LLM mention tracking\n- **seo-plan**:Use `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_intersection`, `dataforseo_labs_bulk_traffic_estimation` for real competitive intelligence\n\n## Error Handling\n\n- **MCP server not connected**: Report that DataForSEO extension is not installed or MCP server is unreachable. Suggest running `.\u002Fextensions\u002Fdataforseo\u002Finstall.sh`\n- **API authentication failed**: Report invalid credentials. Suggest checking DataForSEO API login\u002Fpassword in MCP config\n- **Rate limit exceeded**: Report the limit hit and suggest waiting before retrying\n- **No results returned**: Report \"no data found\" for the query rather than guessing. Suggest broadening the query or checking location\u002Flanguage codes\n- **Invalid location code**: Report the error and suggest using the locations lookup tool to find the correct code\n\n## Output Formatting\n\nMatch existing claude-seo output patterns:\n- Use tables for comparative data\n- Prioritize issues as Critical > High > Medium > Low\n- Include specific, actionable recommendations\n- Show scores as XX\u002F100 where applicable\n- Note data source as \"DataForSEO (live)\" to distinguish from static analysis\n\n## ? Связи\n\n- [[MOC - Skills]] — Skills library\n- [[skills\u002Fskills-seo]] — Category: skills-seo\n\n","# DataForSEO: Live SEO Data (Extension)\n\nLive search data via the DataForSEO MCP server. Provides real-time SERP results,\nkeyword metrics, backlink profiles, on-page analysis, content analysis, business\nlistings, AI visibility checking, and LLM mention tracking across\n9 API modules with 79 MCP tools.\n\n## Prerequisites\n\nThis skill requires the DataForSEO extension to be installed:\n```bash\n.\u002Fextensions\u002Fdataforseo\u002Finstall.sh\n```\n\n**Check availability:** Before using any DataForSEO tool, verify the MCP server\nis connected by checking if `serp_organic_live_advanced` or any DataForSEO tool\nis available. If tools are not available, inform the user the extension is not\ninstalled and provide install instructions.\n\n## API Credit Awareness\n\nDataForSEO charges per API call. Be efficient:\n- Prefer bulk endpoints over multiple single calls\n- Use default parameters (US, English) unless user specifies otherwise\n- Cache results mentally within a session; don't re-fetch the same data\n- Warn user before running expensive operations (full backlink crawls, large keyword lists)\n\n## Quick Reference\n\n| Command | What it does |\n|---------|-------------|\n| `\u002Fseo dataforseo serp \u003Ckeyword>` | Google organic SERP results |\n| `\u002Fseo dataforseo serp-youtube \u003Ckeyword>` | YouTube search results |\n| `\u002Fseo dataforseo youtube \u003Cvideo_id>` | YouTube video deep analysis |\n| `\u002Fseo dataforseo keywords \u003Cseed>` | Keyword ideas and suggestions |\n| `\u002Fseo dataforseo volume \u003Ckeywords>` | Search volume for keywords |\n| `\u002Fseo dataforseo difficulty \u003Ckeywords>` | Keyword difficulty scores |\n| `\u002Fseo dataforseo intent \u003Ckeywords>` | Search intent classification |\n| `\u002Fseo dataforseo trends \u003Ckeyword>` | Google Trends data |\n| `\u002Fseo dataforseo backlinks \u003Cdomain>` | Full backlink profile |\n| `\u002Fseo dataforseo competitors \u003Cdomain>` | Competitor domain analysis |\n| `\u002Fseo dataforseo ranked \u003Cdomain>` | Ranked keywords for domain |\n| `\u002Fseo dataforseo intersection \u003Cdomains>` | Keyword\u002Fbacklink overlap |\n| `\u002Fseo dataforseo traffic \u003Cdomains>` | Bulk traffic estimation |\n| `\u002Fseo dataforseo subdomains \u003Cdomain>` | Subdomains with ranking data |\n| `\u002Fseo dataforseo top-searches \u003Cdomain>` | Top queries mentioning domain |\n| `\u002Fseo dataforseo onpage \u003Curl>` | On-page analysis (Lighthouse + parsing) |\n| `\u002Fseo dataforseo tech \u003Cdomain>` | Technology stack detection |\n| `\u002Fseo dataforseo whois \u003Cdomain>` | WHOIS registration data |\n| `\u002Fseo dataforseo content \u003Ckeyword\u002Furl>` | Content analysis and trends |\n| `\u002Fseo dataforseo listings \u003Ckeyword>` | Business listings search |\n| `\u002Fseo dataforseo ai-scrape \u003Cquery>` | ChatGPT web scraper for GEO |\n| `\u002Fseo dataforseo ai-mentions \u003Ckeyword>` | LLM mention tracking for GEO |\n\n---\n\n## SERP Analysis\n\n### `\u002Fseo dataforseo serp \u003Ckeyword>`\n\nFetch live Google organic search results.\n\n**MCP tools:** `serp_organic_live_advanced`\n\n**Default parameters:** location_code=2840 (US), language_code=en, device=desktop, depth=100\n\n**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.\n\n**Output:** Rank, URL, title, description, domain, featured snippets, AI overview references, People Also Ask.\n\n### `\u002Fseo dataforseo serp-youtube \u003Ckeyword>`\n\nFetch YouTube search results. Valuable for GEO. YouTube mentions correlate most strongly with AI citations.\n\n**MCP tools:** `serp_youtube_organic_live_advanced`\n\n**Output:** Video title, channel, views, upload date, description, URL.\n\n### `\u002Fseo dataforseo youtube \u003Cvideo_id>`\n\nDeep 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.\n\n**MCP tools:** `serp_youtube_video_info_live_advanced`, `serp_youtube_video_comments_live_advanced`, `serp_youtube_video_subtitles_live_advanced`\n\n**Parameters:** video_id (the YouTube video ID, e.g., \"dQw4w9WgXcQ\")\n\n**Output:** Video metadata (title, channel, views, likes, description), top comments with engagement, subtitle\u002Ftranscript text.\n\n---\n\n## Keyword Research\n\n### `\u002Fseo dataforseo keywords \u003Cseed>`\n\nGenerate keyword ideas, suggestions, and related terms from a seed keyword.\n\n**MCP tools:** `dataforseo_labs_google_keyword_ideas`, `dataforseo_labs_google_keyword_suggestions`, `dataforseo_labs_google_related_keywords`\n\n**Default parameters:** location_code=2840 (US), language_code=en, limit=50\n\n**Output:** Keyword, search volume, CPC, competition level, keyword difficulty, trend.\n\n### `\u002Fseo dataforseo volume \u003Ckeywords>`\n\nGet search volume and metrics for a list of keywords.\n\n**MCP tools:** `kw_data_google_ads_search_volume`\n\n**Parameters:** keywords (array, comma-separated), location_code, language_code\n\n**Output:** Keyword, monthly search volume, CPC, competition, monthly trend data.\n\n### `\u002Fseo dataforseo difficulty \u003Ckeywords>`\n\nCalculate keyword difficulty scores for ranking competitiveness.\n\n**MCP tools:** `dataforseo_labs_bulk_keyword_difficulty`\n\n**Parameters:** keywords (array), location_code, language_code\n\n**Output:** Keyword, difficulty score (0-100), interpretation (Easy\u002FMedium\u002FHard\u002FVery Hard).\n\n### `\u002Fseo dataforseo intent \u003Ckeywords>`\n\nClassify keywords by user search intent.\n\n**MCP tools:** `dataforseo_labs_search_intent`\n\n**Parameters:** keywords (array), location_code, language_code\n\n**Output:** Keyword, intent type (informational, navigational, commercial, transactional), confidence score.\n\n### `\u002Fseo dataforseo trends \u003Ckeyword>`\n\nAnalyze keyword trends over time using Google Trends data.\n\n**MCP tools:** `kw_data_google_trends_explore`\n\n**Parameters:** keywords (array), location_code, date_from, date_to, language_code\n\n**Output:** Keyword, time series data, trend direction, seasonality signals.\n\n---\n\n## Domain & Competitor Analysis\n\n### `\u002Fseo dataforseo backlinks \u003Cdomain>`\n\nComprehensive backlink profile analysis.\n\n**MCP tools:** `backlinks_summary`, `backlinks_backlinks`, `backlinks_anchors`, `backlinks_referring_domains`, `backlinks_bulk_spam_score`, `backlinks_timeseries_summary`\n\n**Default parameters:** limit=100 per sub-call\n\n**Output:** Total backlinks, referring domains, domain rank, spam score, top anchors, new\u002Flost backlinks over time, dofollow ratio, top referring domains.\n\n### `\u002Fseo dataforseo competitors \u003Cdomain>`\n\nIdentify competing domains and estimate traffic.\n\n**MCP tools:** `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_rank_overview`, `dataforseo_labs_bulk_traffic_estimation`\n\n**Output:** Competitor domains, keyword overlap %, estimated traffic, domain rank, common keywords.\n\n### `\u002Fseo dataforseo ranked \u003Cdomain>`\n\nList keywords a domain ranks for with positions and page data.\n\n**MCP tools:** `dataforseo_labs_google_ranked_keywords`, `dataforseo_labs_google_relevant_pages`\n\n**Default parameters:** limit=100, location_code=2840\n\n**Output:** Keyword, position, URL, search volume, traffic share, SERP features.\n\n### `\u002Fseo dataforseo intersection \u003Cdomain1> \u003Cdomain2> [...]`\n\nFind shared keywords and backlink sources across 2-20 domains.\n\n**MCP tools:** `dataforseo_labs_google_domain_intersection`, `backlinks_domain_intersection`\n\n**Parameters:** domains (2-20 array)\n\n**Output:** Shared keywords with positions per domain, shared backlink sources, unique keywords per domain.\n\n### `\u002Fseo dataforseo traffic \u003Cdomains>`\n\nEstimate organic search traffic for one or more domains.\n\n**MCP tools:** `dataforseo_labs_bulk_traffic_estimation`\n\n**Parameters:** domains (array)\n\n**Output:** Domain, estimated organic traffic, estimated traffic cost, top keywords.\n\n### `\u002Fseo dataforseo subdomains \u003Cdomain>`\n\nEnumerate subdomains with their ranking data and traffic estimates.\n\n**MCP tools:** `dataforseo_labs_google_subdomains`\n\n**Parameters:** target (domain), location_code, language_code\n\n**Output:** Subdomain, ranked keywords count, estimated traffic, organic cost.\n\n### `\u002Fseo dataforseo top-searches \u003Cdomain>`\n\nFind the most popular search queries that mention a specific domain in results.\n\n**MCP tools:** `dataforseo_labs_google_top_searches`\n\n**Parameters:** target (domain), location_code, language_code\n\n**Output:** Query, search volume, domain position, SERP features, traffic share.\n\n---\n\n## Technical \u002F On-Page\n\n### `\u002Fseo dataforseo onpage \u003Curl>`\n\nRun on-page analysis including Lighthouse audit and content parsing.\n\n**MCP tools:** `on_page_instant_pages`, `on_page_content_parsing`, `on_page_lighthouse`\n\n**Usage:**\n- `on_page_instant_pages`:Quick page analysis (status codes, meta tags, content size, page timing, broken links, on-page checks)\n- `on_page_content_parsing`:Extract and parse page content (plain text, word count, structure)\n- `on_page_lighthouse`:Full Lighthouse audit (performance score, accessibility, best practices, SEO, Core Web Vitals)\n\n**Output:** Pages crawled, status codes, meta tags, titles, content size, load times, Lighthouse scores, broken links, resource analysis.\n\n### `\u002Fseo dataforseo tech \u003Cdomain>`\n\nDetect technologies used on a domain.\n\n**MCP tools:** `domain_analytics_technologies_domain_technologies`\n\n**Output:** Technology name, version, category (CMS, analytics, CDN, framework, etc.).\n\n### `\u002Fseo dataforseo whois \u003Cdomain>`\n\nRetrieve WHOIS registration data.\n\n**MCP tools:** `domain_analytics_whois_overview`\n\n**Output:** Registrar, creation date, expiration date, nameservers, registrant info (if public).\n\n---\n\n## Content & Business Data\n\n### `\u002Fseo dataforseo content \u003Ckeyword\u002Furl>`\n\nAnalyze content quality, search for content by topic, and track phrase trends.\n\n**MCP tools:** `content_analysis_search`, `content_analysis_summary`, `content_analysis_phrase_trends`\n\n**Parameters:** keyword (for search\u002Ftrends) or URL (for summary)\n\n**Output:** Content matches with quality scores, sentiment analysis, readability metrics, phrase trend data over time.\n\n### `\u002Fseo dataforseo listings \u003Ckeyword>`\n\nSearch business listings for local SEO competitive analysis.\n\n**MCP tools:** `business_data_business_listings_search`\n\n**Parameters:** keyword, location (optional)\n\n**Output:** Business name, description, category, address, phone, domain, rating, review count, claimed status.\n\n---\n\n## AI Visibility \u002F GEO\n\n### `\u002Fseo dataforseo ai-scrape \u003Cquery>`\n\nScrape what ChatGPT web search returns for a query. Real GEO visibility check: see which sources ChatGPT cites for your target keywords.\n\n**MCP tools:** `ai_optimization_chat_gpt_scraper`\n\n**Parameters:** query, location_code (optional), language_code (optional). Use `ai_optimization_chat_gpt_scraper_locations` to look up available locations.\n\n**Output:** ChatGPT response content, cited sources\u002FURLs, referenced domains.\n\n### `\u002Fseo dataforseo ai-mentions \u003Ckeyword>`\n\nTrack how LLMs mention brands, domains, and topics. Critical for GEO. Measures actual AI visibility across multiple LLM platforms.\n\n**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`\n\n**Parameters:** keyword, location_code (optional), language_code (optional). Use `ai_opt_llm_ment_loc_and_lang` for available locations\u002Flanguages and `ai_optimization_llm_models` for supported LLM models.\n\n**Workflow:**\n1. Search LLM mentions with `ai_opt_llm_ment_search` (find mentions of a brand\u002Fkeyword across LLM responses)\n2. Get top cited domains with `ai_opt_llm_ment_top_domains` (which domains are most cited for this topic)\n3. Get top cited pages with `ai_opt_llm_ment_top_pages` (which specific pages are most cited)\n4. Get aggregate metrics with `ai_opt_llm_ment_agg_metrics` (overall mention volume, trends)\n\n**Output:** LLM mention count, top cited domains with frequency, top cited pages, mention trends over time, cross-platform visibility scores.\n\n**Advanced:** Use `ai_opt_llm_ment_cross_agg_metrics` for cross-model comparison (how mentions differ across ChatGPT, Claude, Perplexity, etc.).\n\n---\n\n## Available Utility Tools\n\nThese DataForSEO tools are available for internal use by the agent but do not have dedicated commands:\n\n- `serp_locations`:Location code lookups for SERP queries\n- `serp_youtube_locations`:Location code lookups for YouTube queries\n- `kw_data_google_ads_locations`:Location lookups for keyword data\n- `kw_data_dfs_trends_demography`:Demographic data for trend analysis\n- `kw_data_dfs_trends_subregion_interests`:Subregion interest data for trends\n- `kw_data_dfs_trends_explore`:DFS proprietary trends data\n- `kw_data_google_trends_categories`:Google Trends category lookups\n- `dataforseo_labs_google_keyword_overview`:Quick keyword metrics overview\n- `dataforseo_labs_google_historical_serp`:Historical SERP results for a keyword\n- `dataforseo_labs_google_serp_competitors`:Competitors for a specific SERP\n- `dataforseo_labs_google_keywords_for_site`:Keywords a site ranks for (alternative to ranked)\n- `dataforseo_labs_google_page_intersection`:Page-level intersection analysis\n- `dataforseo_labs_google_historical_rank_overview`:Historical domain rank data\n- `dataforseo_labs_google_historical_keyword_data`:Historical keyword metrics\n- `dataforseo_labs_available_filters`:Available filter options for Labs endpoints\n- `backlinks_competitors`:Find domains with similar backlink profiles\n- `backlinks_bulk_backlinks`:Bulk backlink counts for multiple targets\n- `backlinks_bulk_new_lost_referring_domains`:Bulk new\u002Flost referring domains\n- `backlinks_bulk_new_lost_backlinks`:Bulk new\u002Flost backlinks\n- `backlinks_bulk_ranks`:Bulk rank overview for multiple targets\n- `backlinks_bulk_referring_domains`:Bulk referring domain counts\n- `backlinks_domain_pages_summary`:Summary of pages on a domain\n- `backlinks_domain_pages`:List pages on a domain with backlink data\n- `backlinks_page_intersection`:Shared backlink sources at page level\n- `backlinks_referring_networks`:Referring network analysis\n- `backlinks_timeseries_new_lost_summary`:Track new\u002Flost backlinks over time\n- `backlinks_bulk_pages_summary`:Bulk page summaries\n- `backlinks_available_filters`:Available filter options for Backlinks endpoints\n- `domain_analytics_whois_available_filters`:WHOIS filter options\n- `domain_analytics_technologies_available_filters`:Technology detection filter options\n- `ai_opt_kw_data_loc_and_lang`:AI optimization keyword data locations\u002Flanguages\n- `ai_optimization_keyword_data_search_volume`:AI-specific keyword volume data\n- `ai_optimization_llm_response`:Direct LLM response analysis\n- `ai_optimization_llm_mentions_filters`:Available filters for LLM mentions\n- `ai_optimization_chat_gpt_scraper_locations`:Available locations for ChatGPT scraper\n\n## Cross-Skill Integration\n\nWhen DataForSEO MCP tools are available, other claude-seo skills can leverage live data:\n\n- **seo-audit**:Spawn `seo-dataforseo` agent for real SERP, backlink, on-page, and listings data\n- **seo-technical**:Use `on_page_instant_pages` \u002F `on_page_lighthouse` for real crawl data, `domain_analytics_technologies_domain_technologies` for stack detection\n- **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\n- **seo-page**:Use `serp_organic_live_advanced` for real SERP positions, `backlinks_summary` for link data\n- **seo-geo**:Use `ai_optimization_chat_gpt_scraper` for real ChatGPT visibility, `ai_opt_llm_ment_search` for LLM mention tracking\n- **seo-plan**:Use `dataforseo_labs_google_competitors_domain`, `dataforseo_labs_google_domain_intersection`, `dataforseo_labs_bulk_traffic_estimation` for real competitive intelligence\n\n## Error Handling\n\n- **MCP server not connected**: Report that DataForSEO extension is not installed or MCP server is unreachable. Suggest running `.\u002Fextensions\u002Fdataforseo\u002Finstall.sh`\n- **API authentication failed**: Report invalid credentials. Suggest checking DataForSEO API login\u002Fpassword in MCP config\n- **Rate limit exceeded**: Report the limit hit and suggest waiting before retrying\n- **No results returned**: Report \"no data found\" for the query rather than guessing. Suggest broadening the query or checking location\u002Flanguage codes\n- **Invalid location code**: Report the error and suggest using the locations lookup tool to find the correct code\n\n## Output Formatting\n\nMatch existing claude-seo output patterns:\n- Use tables for comparative data\n- Prioritize issues as Critical > High > Medium > Low\n- Include specific, actionable recommendations\n- Show scores as XX\u002F100 where applicable\n- Note data source as \"DataForSEO (live)\" to distinguish from static analysis\n\n## ? Связи\n\n- [[MOC - Skills]] — Skills library\n- [[skills\u002Fskills-seo]] — Category: skills-seo\n\n",{"name":5,"tags":63,"license":15,"metadata":65,"description":68,"argument-hint":69,"compatibility":70,"user-invokable":71},[42,64,41],"artifact\u002Fskill",{"author":66,"version":67,"category":38},"AgriciDaniel","1.6.1","Live SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, LLM mention tracking), and domain analytics. Requires DataForSEO extension installed. Use when user says \"dataforseo\", \"live SERP\", \"keyword volume\", \"backlink data\", \"competitor data\", \"AI visibility check\", \"LLM mentions\", or \"real search data\".\n","[command] [query]","Requires DataForSEO MCP server",true,"main","3a0e8170d69effdc8a555eee4b80b943f47fe6b2",".claude\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fextensions\u002Fdataforseo\u002Fskills\u002Fseo-dataforseo","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator","https:\u002F\u002Fname-navigator.vercel.app","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis","2026-11-03 18:37:11",{"source":8,"skillName":5,"commands":80,"prompt":90,"zipAvailable":71},[81,84,87],{"tool":82,"command":83},"npx","npx skills add ibragimov-oasis\u002Fname-navigator --skill seo-dataforseo",{"tool":85,"command":86},"bunx","bunx skills add ibragimov-oasis\u002Fname-navigator --skill seo-dataforseo",{"tool":88,"command":89},"pnpm","pnpm dlx skills add ibragimov-oasis\u002Fname-navigator --skill seo-dataforseo","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fextensions\u002Fdataforseo\u002Fskills\u002Fseo-dataforseo\u002FSKILL.md",[92],{"path":93,"resourceType":94,"resourceTypeDesc":95,"sizeBytes":96,"sourceHtmlUrl":97},"LICENSE.txt","LICENSE","许可证",143,"https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.claude\u002Fskills\u002Fskills-seo\u002Fseo\u002Fclaude-seo\u002Fextensions\u002Fdataforseo\u002Fskills\u002Fseo-dataforseo\u002FLICENSE.txt",[99,126,154,182,202,223],{"skillNo":100,"name":101,"nameZh":6,"description":102,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":103,"categories":104,"keywords":109,"publishedAt":58},"01M6H16XFT30RK9RWGFB4M9KGG","transloadit-media-processing","Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS\u002FMP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Ftransloadit-media-processing\u002FSKILL.md",[105,108],{"categoryNo":106,"categoryName":107,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000016","图像与多媒体",{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},[110,111,112,113,50,114,56,115,116,117,54,118,119,120,121,122,123,124,47,125],"transloadit media processing","Media","media processing","processing","cli","copilot","documents","generate","pipeline","ocr","Video","Audio","images","files","thumbnails","free",{"skillNo":127,"name":128,"nameZh":6,"description":129,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":130,"categories":131,"keywords":135,"publishedAt":58},"01M6H16MZ628556VXNEG9PRDK2","terraform-azurerm-set-diff-analyzer","Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fterraform-azurerm-set-diff-analyzer\u002FSKILL.md",[132],{"categoryNo":133,"categoryName":134,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000011","运维与部署",[136,137,138,139,140,141,115,142,143,144,145,146,147,47,148,149,150,151,152,153],"terraform","SET","terraform azurerm set diff analyzer","diff","analyzer","diffs","JSON Output","firewall","false-positive","plan","analyze","only","false","resources","load balancer","attributes","source\u002Fskills-copilot","source",{"skillNo":155,"name":156,"nameZh":6,"description":157,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":158,"categories":159,"keywords":166,"publishedAt":58},"01M6H12YWM6E909XH6JN4428RN","refactor","Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Frefactor\u002FSKILL.md",[160,163],{"categoryNo":161,"categoryName":162,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000007","代码审查",{"categoryNo":164,"categoryName":165,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000015","视觉设计",[156,167,115,168,169,170,171,172,173,174,175,176,177,178,47,179,180,181,152,153],"design","code","Type Safety","Safety","improve","refactoring","repo","use","design patterns","code refactoring","patterns","domain","extracting","Variables","for",{"skillNo":183,"name":184,"nameZh":6,"description":185,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":186,"categories":187,"keywords":191,"publishedAt":58},"01M6H11GN772CMEJ2R70TXG7SS","prd","Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fprd\u002FSKILL.md",[188],{"categoryNo":189,"categoryName":190,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000031","产品经理",[184,115,116,117,192,193,53,194,178,47,195,196,197,198,199,200,181,152,153,201],"product","risk","technical","requirements","software","Product Requirements","user stories","high","domain\u002Fagents","summaries",{"skillNo":203,"name":204,"nameZh":6,"description":205,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":206,"categories":207,"keywords":208,"publishedAt":58},"01M6H0ZF4BS1GC60K8WCCVCH6G","plantuml-ascii","Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fplantuml-ascii\u002FSKILL.md",[],[209,210,211,212,115,213,214,117,215,216,217,218,219,220,178,47,221,222,152,153],"plantuml","plantuml ascii","ascii","terminal","diagram","create","Bash","text","read","write","diagrams","Art","Unicode","mode",{"skillNo":224,"name":225,"nameZh":6,"description":226,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":227,"categories":228,"keywords":234,"publishedAt":58},"01M6H0X7BMJD69GTGE6DDZCYF8","msstore-cli","Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI\u002FCD for Store publishing, or integrate with Partner Center. Supports Windows App SDK\u002FWinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.","https:\u002F\u002Fgithub.com\u002Fibragimov-oasis\u002Fname-navigator\u002Fblob\u002Fmain\u002F.github\u002Fskills\u002Fmsstore-cli\u002FSKILL.md",[229,230,231],{"categoryNo":133,"categoryName":134,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":27,"categoryName":28,"taxonomyType":21,"taxonomyTypeDesc":22},{"categoryNo":232,"categoryName":233,"taxonomyType":32,"taxonomyTypeDesc":33},"01JBSEEDCAT000000000000030","开发工程师",[114,235,236,237,115,238,239,240,137,241,242,243,244,245,246,47,247,248,249,250],"msstore cli","react","status","uwp","ci","publish","credentials","configure","pwa","react native","integrate","up","app","apps","native","CI\u002FCD"]