Multi-Agent SEO Prompt & Execution Flow (Kimi 2M Context)
Executes a 7-layer recursive SEO prompt workflow choreographing research, outline generation, semantic drafting, and schema validation.
Browse the complete collection of production-ready SEO skills, MCP configurations, and agentic workflows built specifically for Moonshot Kimi (2 Million Token Context Window for Massive Multi-Domain Audits). Automate technical audits, schema validation, and topical authority mapping directly inside your Moonshot Kimi API.
npx @seoskillsai/cli run kimi-bulk-audit Pre-configured agentic skills optimized for Kimi 2M Context.
Executes a 7-layer recursive SEO prompt workflow choreographing research, outline generation, semantic drafting, and schema validation.
Automates Google Search Console API reporting, indexation requests, URL inspections, and performance delta alerts.
Optimizes user dwell time, click-input-click interactive loops, mobile centerpiece visibility, and eliminates bounce triggers.
Autonomous site crawl inspecting status codes, canonicals, DOM hierarchy, schema syntax, and semantic entity density in under 30 seconds.
Generates 10-phase Koray Tugberk GUBUR topical authority roadmaps, crawl budget sequencing, and entity cluster matrices.
Generates and validates interconnected JSON-LD schema graphs (WebSite, TechArticle, SoftwareSourceCode, FAQPage, BreadcrumbList).
Authors high-converting, metric-backed developer content free of AI filler words, optimized for Information Gain and SERP triples.
Audits inbound link equity, detects over-optimized anchor text risks, and maps internal PageRank flow across topical silos.
Clusters 10,000+ raw keywords into non-cannibalizing topical silos using mathematical SERP URL overlap algorithms.
Optimizes content structure and citation density for LLM search engines (Perplexity, ChatGPT Search, Gemini, Claude).
Generates standard-compliant llms.txt and llms-full.txt files to provide AI crawlers with structured context.
Monitors brand mentions, domain citations, and reference links across Google AI Overviews and Perplexity.
Dynamically manages permissions and crawl budgets for GPTBot, ClaudeBot, Google-Extended, and PerplexityBot.
Audits TTFB, CLS, LCP, INP, font preloading, and Astro Server Island configurations for 100/100 Lighthouse scores.
Generates segmented XML sitemaps and dynamic, accessible HTML sitemap directories with real-time category counts.
Monitors organic keyword rank changes and proactively alerts when competitor updates cause content freshness decay.
Scales rich product schema (Product, AggregateOffer, MerchantReturnPolicy) and category faceted indexation rules.
Automates Google Business Profile entity optimization, local citations, NAP consistency, and geo-targeted landing pages.
Reverse-engineers map pack ranking algorithms, proximity signals, review velocity, and localized CTR.
Generates 1,000+ programmatic landing pages with unique entity-attribute data, avoiding thin content penalties.
Reverse-engineers competitor sitemaps, heading hierarchies, word counts, and keyword positions in real time.
Directly connects AI agents to real-time Google and Bing SERP APIs for live search volume and ranking data.
Automates responsive WebP/AVIF generation, 16:9 Google Discover aspect ratios, semantic ALT text, and C2PA badges.
Generates high-resolution, contextual editorial illustrations and diagrams with strict IPTC DigitalSourceType labeling.
Configures bidirectional hreflang tags, x-default fallback routing, and localized content silo synchronization.
Enforces algorithmic source verification, Wikipedia Wikidata entity grounding, and anti-hallucination verification checks.
Optimizes content embeddings, chunking strategies, and vector distance for LLM retrieval and semantic search engines.
Builds interconnected Schema.org @graph knowledge networks with definedTerm, sameAs Wikipedia links, and semantic triples.
Audits single-page semantic architecture, H1-H6 heading sequences, centerpiece annotations, and dwell-time retention hooks.
Step-by-step installation instructions for Moonshot Kimi API.
Install the official SEO Skills AI CLI to manage agent configurations.
npm install -g @seoskillsai/cli Register the MCP server or skill rules into your environment:
seoskillsai add kimi --config kimi_context_config.json Prompt Kimi 2M Context in natural language to analyze your website:
/seo:audit https://yourdomain.com --depth full Switch to other execution platforms with zero learning curve.
Verified answers to common technical and architectural questions.
Run 'npx @seoskillsai/cli run kimi-bulk-audit' in your terminal. This automatically updates your 'kimi_context_config.json' with the verified skill endpoints and schemas.
Yes! For Claude Code, Cline, and Antigravity, all skills run natively via standard MCP protocols. For ChatGPT, we provide OpenAPI 3.0 Action manifests.
A comprehensive technical audit in Moonshot Kimi uses approximately 3,500–5,000 tokens, equating to ~$0.01–$0.02 on standard commercial APIs, or $0.00 if using local open-weight models.