Skills Agentes

Geo Llmstxt

Analiza y genera archivos llms.txt, el estándar emergente para que los sistemas de IA entiendan la estructura y el contenido de una web. Valida llms.txt existentes o crea nuevos desde cero rastreando el sitio.

Reemplaza a: Rastrear decenas de páginas manualmente para inferir la estructura y el contenido de un sitio.

Solicitareadgrepglobbashwebfetchwrite
Estrellas
10.7k

en todo el repo

Actividad
25

0–100, la ruta de este skill

Actualizado
hace 7 meses

último commit aquí

Commits
0

últimos 90 días

Contexto
3.9k tok

55 tok en reposo

Paquete
1 archivo

15 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add zubair-trabzada/geo-seo-claude --skill geo-llmstxt --agent claude-code

Se instala solo en este repositorio.

Este skill runs shell commands, writes to your files, makes network requests.

Qué hace

  • Analiza archivos llms.txt existentes: valida su formato, comprueba que las URLs funcionan y puntúa completitud, precisión y utilidad.
  • Genera llms.txt desde cero rastreando el sitio, priorizando las páginas más importantes y escribiendo descripciones fácticas de cada una.
  • Compara el llms.txt con el contenido real del sitio para detectar páginas ausentes, enlaces rotos o datos desactualizados.
  • Escribe informes estructurados (GEO-LLMSTXT-ANALYSIS.md o GEO-LLMSTXT-GENERATION.md) con recomendaciones y el archivo sugerido.

Úsalo cuando

  • Para validar un llms.txt existente y comprobar si cumple el estándar antes de publicarlo.
  • Para crear un llms.txt desde cero en un sitio que aún no tiene uno.
  • Para detectar páginas importantes que faltan en el llms.txt, URLs rotas o descripciones que ya no reflejan el contenido.
  • Cuando quieras que los sistemas de IA entiendan mejor la estructura y el contenido de un sitio web.

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Analiza https://ejemplo.com/llms.txt y dime si cumple el estándar.
    • Genera un llms.txt para mi web rastreando el sitio.
    • Comprueba qué páginas importantes faltan en nuestro llms.txt.
    • Valida el formato de este llms.txt y pásame una puntuación.

    SKILL.md

    En inglés

    llms.txt Standard Analysis and Generation Skill

    Purpose

    This skill handles everything related to the llms.txt standard -- an emerging convention (proposed by Jeremy Howard in September 2024, gaining adoption through 2025-2026) that allows websites to provide structured guidance to AI systems about their content, structure, and key information. It is analogous to robots.txt (which tells crawlers what NOT to access) but instead tells AI systems what IS most useful to understand about the site.

    Why llms.txt Matters

    AI language models face a fundamental challenge when processing websites: they must determine which pages are most important, what the site is about, and how content is organized -- typically by crawling many pages and inferring structure. llms.txt solves this by providing an explicit, machine-readable (and human-readable) summary.

    Benefits of having a well-crafted llms.txt:

    1. Faster AI comprehension: AI systems can understand your site's purpose and structure from a single file rather than crawling dozens of pages.
    2. Controlled narrative: You choose which pages and facts AI systems see first, shaping how they represent your brand.
    3. Higher citation accuracy: AI systems that consult llms.txt can cite the correct, authoritative page for each topic.
    4. Reduced misrepresentation: Key facts (pricing, features, locations) are stated explicitly, reducing AI hallucination about your business.
    5. Early adopter advantage: As of early 2026, fewer than 5% of websites have an llms.txt file, making it a differentiator.

    The llms.txt Specification

    File Location

    The file MUST be located at the root of the domain:

    https://example.com/llms.txt
    

    Format Specification

    The file uses Markdown formatting with specific conventions:

    # [Site Name]
    
    > [One-sentence description of what the site/business does. Keep under 200 characters.]
    
    ## Docs
    
    - [Page Title](https://example.com/page-url): Concise description of what this page covers and why it matters.
    - [Another Page](https://example.com/another-page): Description of content.
    
    ## Optional
    
    - [Less Critical Page](https://example.com/optional-page): Description.
    

    Detailed Format Rules

    1. Title (Required)

    # Site Name
    
    • Must be the first line of the file.
    • Should be the official business/site name.
    • Use the H1 heading format (single #).

    2. Description (Required)

    > Brief description of the site/business
    
    • Must appear immediately after the title.
    • Use Markdown blockquote format (>).
    • Keep under 200 characters.
    • Should clearly state what the business does and who it serves.
    • Avoid marketing fluff -- be factual and specific.

    3. Main Sections (Required -- at least one)

    Use H2 headings (##) to organize pages by category. Common section names:

    Section Name Purpose Example Content
    ## Docs Primary documentation or key pages Product pages, service descriptions, core content
    ## Optional Secondary pages worth knowing about Blog posts, supplementary resources
    ## API API documentation API reference, authentication guides
    ## Blog Blog or news content Recent/popular articles
    ## Products Product catalog Product pages, pricing
    ## Services Service offerings Service descriptions, process pages
    ## About Company information About page, team, mission
    ## Resources Educational/reference content Guides, tutorials, whitepapers
    ## Legal Legal documents Terms of service, privacy policy
    ## Contact Contact information Contact page, support channels

    4. Page Entries (Required)

    Each entry follows the format:

    - [Page Title](URL): Description of page content
    

    Rules for page entries:

    • Title: Use the actual page title or a clear descriptive title.
    • URL: Must be a full, absolute URL (not relative paths).
    • Description: 10-30 words describing what the page covers. Be specific about the information available.
    • Order: List pages in order of importance within each section.
    • Limit: Include 10-30 page entries total. Prioritize your most authoritative and useful pages.

    5. Key Facts Section (Recommended)

    ## Key Facts
    - Founded in [year] by [founder(s)]
    - Headquarters: [City, Country]
    - [X] customers/users in [Y] countries
    - Key products: [Product A], [Product B], [Product C]
    - Industry: [Industry classification]
    

    This section provides quick reference data that AI systems frequently need to answer user queries about your business.

    6. Contact Section (Recommended)

    ## Contact
    - Website: https://example.com
    - Email: hello@example.com
    - Support: support@example.com
    - Phone: +1-555-123-4567
    - Address: 123 Main St, City, State, ZIP, Country
    

    llms-full.txt (Extended Version)

    In addition to llms.txt, sites can provide /llms-full.txt -- an extended version with more detail.

    Differences from llms.txt:

    Feature llms.txt llms-full.txt
    Length Concise (50-150 lines) Comprehensive (150-500+ lines)
    Page entries 10-30 key pages 30-100+ pages
    Descriptions 10-30 words per entry 30-100 words per entry, may include key facts from each page
    Audience Quick AI comprehension Deep AI analysis
    Sections 3-6 sections 8-15 sections
    Key facts Business-level facts Page-level facts and data points

    Both files can coexist. AI systems check for llms.txt first, then may optionally load llms-full.txt for deeper understanding.


    Analysis Mode

    When checking an existing llms.txt file:

    Step 1: Fetch the File

    1. Use WebFetch to retrieve [domain]/llms.txt.
    2. Also check for [domain]/llms-full.txt.
    3. Record HTTP status code:
      • 200: File exists -- proceed to validation.
      • 404: File does not exist -- recommend generation.
      • 403: File exists but is blocked -- flag as misconfiguration.
      • 301/302: Redirect -- follow and note the redirect.

    Step 2: Validate Format

    Check each structural element:

    Element Check Severity if Missing
    H1 Title Present, matches business name Critical
    Blockquote description Present, under 200 chars, factual High
    At least one H2 section Present Critical
    Page entries with URLs At least 5 entries present High
    URLs are absolute All URLs use full https:// paths High
    URLs are valid All URLs return 200 status Medium
    Descriptions present Every entry has a description after the colon Medium
    Key Facts section Present with business information Medium
    Contact section Present with at least email Low
    Reasonable length 30-200 lines Low
    No broken Markdown Proper formatting throughout Medium

    Step 3: Assess Content Quality

    Rate the llms.txt on these dimensions:

    Completeness (0-100):

    • Does it cover all major site sections visible in the navigation?
    • Are the most important/highest-traffic pages included?
    • Is the Key Facts section present with accurate business data?
    • Does it include recent/updated content?

    Accuracy (0-100):

    • Do descriptions accurately reflect page content?
    • Are URLs valid and pointing to the correct pages?
    • Are Key Facts verifiable and current?
    • Is the business description accurate?

    Usefulness (0-100):

    • Would an AI system understand the site's purpose from this file alone?
    • Are descriptions specific enough to differentiate pages?
    • Are the most citation-worthy pages highlighted?
    • Is the organization logical and intuitive?

    Overall llms.txt Score = (Completeness * 0.40) + (Accuracy * 0.35) + (Usefulness * 0.25)

    Step 4: Compare Against Site Content

    1. Crawl the site's main navigation and sitemap.
    2. Identify important pages NOT listed in llms.txt.
    3. Check if any listed URLs are broken or redirected.
    4. Verify that the business description matches current homepage messaging.
    5. Flag stale entries (pages that have been significantly updated since the llms.txt was written).

    Generation Mode

    When creating a new llms.txt file from scratch:

    Step 1: Site Discovery

    1. Fetch the homepage and extract:
      • Site name (from <title>, <meta property="og:site_name">, or H1)
      • Business description (from meta description or hero section)
      • Main navigation links
      • Footer links
    2. Fetch /sitemap.xml to discover all public pages.
    3. Identify the site's primary business type (SaaS, E-commerce, Local, Publisher, Agency).

    Step 2: Page Prioritization

    Categorize all discovered pages and select the most important ones:

    Always Include:

    • Homepage
    • About / Company page
    • Pricing page (if exists)
    • Primary product/service pages (top 3-5)
    • Contact page
    • Documentation landing page (if exists)

    Include if High Quality:

    • Top blog posts (by apparent importance, recency, or comprehensiveness)
    • Case studies or customer stories
    • Key resource/guide pages
    • FAQ page
    • Careers page (for large companies)

    Skip:

    • Thin category/tag pages
    • Pagination pages
    • Login/signup pages
    • Legal boilerplate (unless specifically relevant)
    • Duplicate or near-duplicate content
    • Pages with minimal unique content

    Step 3: Write Descriptions

    For each selected page:

    1. Fetch the page content using WebFetch.
    2. Read the H1, meta description, and first 2-3 paragraphs.
    3. Write a description that:
      • Is 10-30 words long
      • States what information is on the page
      • Mentions specific topics, data, or features covered
      • Avoids marketing language ("best," "leading," "revolutionary")
      • Uses factual, informative language

    Good description examples:

    • Explains the three pricing tiers (Free, Pro, Enterprise) with feature comparison and annual/monthly costs.
    • Details the company's founding in 2018, team of 45 employees, and office locations in Austin and London.
    • Covers integration setup for Slack, Salesforce, and HubSpot with step-by-step guides and API endpoints.

    Bad description examples:

    • Our amazing pricing page! (marketing language, no specifics)
    • Learn more about our company. (too vague)
    • Click here for details. (not descriptive)

    Step 4: Compile Key Facts

    Gather key business facts from the site:

    • Year founded
    • Founder name(s)
    • Headquarters location
    • Number of employees (if public)
    • Number of customers/users (if public)
    • Key products or services (list top 3-5)
    • Industry classification
    • Notable clients or partnerships (if public)
    • Key differentiators (what makes this business unique)
    • Recent milestones or achievements (last 12 months)

    Step 5: Assemble the File

    Construct the llms.txt following this template:

    # [Site Name]
    
    > [One clear sentence: what the business does, who it serves, and its primary value proposition. Under 200 characters.]
    
    ## Docs
    
    - [Most Important Page](https://example.com/page): Description covering the key content on this page.
    - [Second Page](https://example.com/page-2): Description of this page's content and value.
    - [Third Page](https://example.com/page-3): What users and AI systems will find here.
    
    ## Products
    
    - [Product A](https://example.com/product-a): Core features, target users, and pricing model for Product A.
    - [Product B](https://example.com/product-b): What Product B does and how it differs from Product A.
    
    ## Resources
    
    - [Guide Title](https://example.com/guide): Comprehensive guide covering [topic] with [X] sections and practical examples.
    - [Blog Post](https://example.com/blog/post): Analysis of [topic] with original data from [source].
    
    ## Key Facts
    
    - Founded in [year] by [name(s)]
    - Headquartered in [City, Country]
    - [Specific metric: e.g., "Serves 10,000+ businesses in 40 countries"]
    - [Key differentiator: e.g., "Only platform offering real-time X and Y integration"]
    - Industry: [Classification]
    
    ## Contact
    
    - Website: https://example.com
    - Email: [primary contact email]
    - Support: [support URL or email]
    

    Step 6: Validate the Generated File

    Before outputting:

    1. Verify all URLs are reachable (200 status).
    2. Confirm total entry count is between 10-30.
    3. Check that no description exceeds 50 words.
    4. Verify the overall file length is 50-150 lines.
    5. Ensure Markdown formatting is clean and consistent.

    Output Format

    For Analysis Mode

    Generate GEO-LLMSTXT-ANALYSIS.md:

    # llms.txt Analysis: [Domain]
    
    **Analysis Date:** [Date]
    **llms.txt Status:** [Found at URL / Not Found / Error]
    **llms-full.txt Status:** [Found / Not Found]
    
    ---
    
    ## Overall llms.txt Score: [X]/100
    
    | Dimension | Score |
    |---|---|
    | Completeness | [X]/100 |
    | Accuracy | [X]/100 |
    | Usefulness | [X]/100 |
    
    ---
    
    ## Format Validation
    
    | Element | Status | Notes |
    |---|---|---|
    | H1 Title | [Pass/Fail] | [Notes] |
    | Description blockquote | [Pass/Fail] | [Notes] |
    | H2 Sections | [Pass/Fail] | [X sections found] |
    | Page entries | [Pass/Fail] | [X entries found] |
    | URL validity | [Pass/Fail] | [X broken URLs] |
    | Entry descriptions | [Pass/Fail] | [X missing descriptions] |
    | Key Facts | [Pass/Fail] | [Notes] |
    | Contact section | [Pass/Fail] | [Notes] |
    
    ---
    
    ## Missing Pages
    
    These important pages were found on the site but not in llms.txt:
    
    1. [Page Title](URL) -- [Why it should be included]
    2. [Page Title](URL) -- [Why it should be included]
    
    ## Improvement Recommendations
    
    1. [Specific recommendation]
    2. [Specific recommendation]
    3. [Specific recommendation]
    
    ## Suggested Updated llms.txt
    
    [Complete rewritten llms.txt file if significant improvements are needed]
    

    For Generation Mode

    Output the complete llms.txt file content, ready to be saved to the site's root directory. Also output a brief GEO-LLMSTXT-GENERATION.md report explaining:

    • How many pages were discovered and how many were selected
    • The prioritization rationale
    • Any pages that were borderline (might add later)
    • Recommended update frequency (e.g., monthly for active blogs, quarterly for stable sites)

    Best Practices Reference

    1. Update regularly. If your site publishes weekly blog posts, update llms.txt monthly. If your product changes quarterly, update after each release.
    2. Lead with your strongest content. The first entries in each section should be your most authoritative, comprehensive pages.
    3. Be specific in descriptions. "Comprehensive 3,000-word guide to React Server Components with code examples" is far more useful than "React guide."
    4. Include your differentiators. If your site has unique data, original research, or exclusive features, highlight these in descriptions and Key Facts.
    5. Keep it concise. The llms.txt should be scannable in under 60 seconds. Save detail for llms-full.txt.
    6. Use absolute URLs. Always include the full https:// URL, never relative paths.
    7. Test after deployment. After uploading, verify the file is accessible at https://yourdomain.com/llms.txt with no redirects.
    8. Coordinate with robots.txt. Ensure pages listed in llms.txt are not blocked in robots.txt for AI crawlers.
    9. Mirror your site structure. Section names in llms.txt should roughly correspond to your main navigation categories.
    10. Avoid sensitive pages. Do not include internal tools, admin panels, or pages with sensitive information.

    Reproducido de zubair-trabzada/geo-seo-claude bajo licencia MIT. Leer esta página en markdown.

    Archivos

    1 archivo en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Antes de instalar

    Requiere acceso al sitio para rastrearlo; el archivo generado debe publicarse en la raíz del dominio.

    Detalles

    Categoría
    SEO y GEO
    Licencia
    MIT
    Recursos incluidos
    Solo SKILL.md
    Código fuente
    Ver SKILL.md

    Más de zubair-trabzada/geo-seo-claude

    Este repo incluye 16 skills. Si instalas uno, normalmente ya tienes los demás. Ver el pack geo-seo-claude entero y su comando de instalación

    Genera un informe GEO profesional orientado al cliente que combina todos los resultados de la auditoría en una única entrega con puntuaciones, hallazgos y acciones priorizadas.

    Costo de contexto al activarse
    4.5k tok
    Tamaño del paquete
    1 archivo
    Última actualización
    hace 4 meses
    Permisos
    seo geo

    Obtiene las últimas actualizaciones de las skills GEO-SEO del repositorio upstream: compara los archivos instalados con la última versión, muestra qué cambia y actualiza skills, agentes, scripts y plantillas de esquema.

    Costo de contexto al activarse
    1.1k tok
    Tamaño del paquete
    1 archivo
    Última actualización
    hace 4 meses
    Permisos
    seo geo

    Geo

    10.7k

    Optimiza webs para buscadores de IA (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) y clásicos: auditorías GEO, citabilidad, crawlers, llms.txt, menciones de marca, schema, SEO técnico y para plataformas, E-E-A-T e informes.

    Costo de contexto al activarse
    2.8k tok
    Tamaño del paquete
    1 archivo
    Última actualización
    hace 4 meses
    Permisos
    seo geo

    Análisis de acceso de crawlers de IA: comprueba robots.txt, meta tags y cabeceras HTTP para ver qué crawlers de IA pueden acceder al sitio. Incluye mapa de acceso y recomendaciones para maximizar la visibilidad en IA con control adecuado.

    Costo de contexto al activarse
    4.5k tok
    Tamaño del paquete
    1 archivo
    Última actualización
    hace 4 meses
    Permisos
    seo geo

    Genera un PDF profesional de una auditoría GEO con pandoc + Chrome headless. Convierte GEO-AUDIT-REPORT.md en un informe listo para el cliente: portada, tablas de puntuación con colores, hallazgos por severidad y hoja de ruta de 90 días.

    Costo de contexto al activarse
    1.3k tok
    Tamaño del paquete
    1 archivo
    Última actualización
    hace 4 meses
    Permisos
    seo geo

    Auditoría técnica de SEO con comprobaciones específicas para GEO: rastreabilidad, indexabilidad, seguridad, rendimiento, SSR y acceso de crawlers de IA.

    Costo de contexto al activarse
    5.7k tok
    Tamaño del paquete
    1 archivo
    Última actualización
    hace 5 meses
    Permisos
    seo geo