URL analizada
https://problemcockpit.com/
Medido hace 47 minutos
Puntuación AI-Ready
Bueno
de 100
Ahorro de tokens
Desglose de la puntuación
Protocolos emergentes
0 de 6 detectadosEndpoints well-known que los AI agents buscan. Detectados significa que un agente puede descubrir y conectar con tu servicio automáticamente.
-
OAuth Protected Resource RFC 9728
/.well-known/oauth-protected-resource -
OAuth Discovery RFC 8414
/.well-known/oauth-authorization-server -
MCP Server Card SEP-1649 draft
/.well-known/mcp/server-card.json -
A2A Agent Card A2A v1.0
/.well-known/agent-card.json -
API Catalog RFC 9727
/.well-known/api-catalog -
Agent Skills index Discovery RFC v0.2.0 draft
/.well-known/agent-skills/index.json
Esto no se queda quieto. La monitorización aún no existe: apúntate y te avisamos cuando esté.
¡Estás en la lista! Te avisaremos cuando se lance.
Lo que medimos No Markdown for Agents support detected
Tu sitio no soporta Markdown for Agents. Este estándar de Cloudflare permite a los agentes IA solicitar contenido en formato markdown, reduciendo el uso de tokens en ~80%.
Cómo implementarlo
Implementa uno o más: (1) Responder a Accept: text/markdown con contenido markdown. (2) Servir URLs .md (ej: /pagina.md). (3) Añadir etiquetas <link rel="alternate" type="text/markdown">. (4) Añadir cabeceras HTTP Link para descubrimiento markdown.
Lo que medimos Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)
Tu página tiene un bajo ratio de contenido real respecto al HTML total. Gran parte del peso de la página es marcado, scripts o estilos en lugar de contenido.
Cómo implementarlo
Mueve el CSS a hojas de estilo externas, elimina los estilos en línea, minimiza el JavaScript y asegúrate de que el HTML se centre en la estructura del contenido.
Lo que medimos No llms.txt found
Tu sitio no tiene un archivo llms.txt. Este es el estándar emergente para ayudar a los AI agents a comprender la estructura de tu sitio.
Cómo implementarlo
Crea un archivo /llms.txt siguiendo la especificación de llmstxt.org. Incluye una descripción del sitio y enlaces a tus páginas principales.
Lo que medimos No Content-Signal found (robots.txt or HTTP headers)
No se encontraron directivas Content-Signal. Estas indican a los agentes IA cómo pueden usar tu contenido (indexación, entrada IA, datos de entrenamiento). La ubicación recomendada es robots.txt.
Cómo implementarlo
Añade Content-Signal a tu robots.txt: User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. También puedes añadirlo como cabecera HTTP en respuestas markdown.
## Most problem-solving starts too late. A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer. 3 problems solved free. Then $49/month. ## How it works 1 ### Name what's wrong Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it. 2 ### Surface your assumptions The structure finds what you're taking for granted. Hypotheses are tested, not accepted. 3 ### Reach the physics Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it. 4 ### Choose a path forward Fork paths from the real problem, sorted from quick wins to structural change. See how it works ## Layer 00: Intake We keep missing deadlines despite accurate estimates. Happens across teams. ## Find the real problem. For one person 3 problems solved free then $49/month - \--7-stage structured process, not open-ended chat - \--Surfaces your assumptions and strikes through what doesn't hold - \--Fork paths sorted from quick wins to structural change - \--Start even when you can't articulate the problem yet For a whole team 5 seats, one shared history $99/month. Add seats as you grow. - \--The same 7 stages, for everyone on the team - \--The whole team reads every session by default - \--Only the owner can change billing - \--Weeks later, see which decisions actually held up Start with the problem that keeps coming back.
Problem.Cockpit — Stop Solving the Wrong Problem [Skip to content](https://problemcockpit.com/#main-content) [Problem.Cockpit ](https://problemcockpit.com/) [Sign Up](https://problemcockpit.com/sign-up) # Most problem-solving starts too late. A structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer. [Start Free](https://problemcockpit.com/sign-up?redirect=/excavate) 3 problems solved free. Then $49/month. ## How it works 1### Name what's wrong Start with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it. 2### Surface your assumptions The structure finds what you're taking for granted. Hypotheses are tested, not accepted. 3### Reach the physics Drill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it. 4### Choose a path forward Fork paths from the real problem, sorted from quick wins to structural change. See how it works ## Layer 00: Intake We keep missing deadlines despite accurate estimates. Happens across teams. Next ## Find the real problem. For one person 3 problems solved free then $49/month - \--7-stage structured process, not open-ended chat - \--Surfaces your assumptions and strikes through what doesn't hold - \--Fork paths sorted from quick wins to structural change - \--Start even when you can't articulate the problem yet [Start Free](https://problemcockpit.com/sign-up) For a whole team 5 seats, one shared history $99/month. Add seats as you grow. - \--The same 7 stages, for everyone on the team - \--The whole team reads every session by default - \--Only the owner can change billing - \--Weeks later, see which decisions actually held up [Start a Team](https://problemcockpit.com/team) Start with the problem that keeps coming back.
Sube este archivo como /index.md en tu servidor para que los AI agents puedan acceder a una versión limpia de tu página. También puedes configurar la negociación de contenido Accept: text/markdown para servirlo automáticamente.
llms.txt generado para esta página individual
# Problem.Cockpit > Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer. ## Main - [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym… - [Gallery](https://problemcockpit.com/gallery) - [Sign In](https://problemcockpit.com/sign-in) - [Sign Up](https://problemcockpit.com/sign-up) ## Blog - [Blog](https://problemcockpit.com/blog) ## Legal - [Terms](https://problemcockpit.com/terms) - [Privacy](https://problemcockpit.com/privacy)
El llms.txt completo requiere un análisis de todo el dominio (próximamente)
Sube este archivo a https://problemcockpit.com/llms.txt en la raíz de tu dominio. Los AI agents como ChatGPT, Claude y Perplexity consultan este archivo para comprender la estructura de tu sitio.
Accesibilidad
Content available without JavaScript
Main content starts at 18% of HTML
Page size: 35KB
Visibilidad para IA
All major AI search bots allowed
Sitemap found
robots.txt exists
No llms.txt found
Datos estructurados
JSON-LD found: Organization, WebSite
All OG tags present
Meta description: 159 chars
Canonical URL present
lang="en"
HTML semántico
Clean heading hierarchy
Has <main>
8 semantic elements, 31 divs (ratio: 21%)
No images found
Avg div depth: 3.3, max: 6
Eficiencia del contenido
96% token reduction (HTML→Markdown)
Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)
HTML size: 35KB
1/162 elements with inline styles (0.6%)
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{
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"markdown": "## Most problem-solving starts too late.\n\nA structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n3 problems solved free. Then $49/month.\n\n## How it works\n\n1\n\n### Name what's wrong\n\nStart with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.\n\n2\n\n### Surface your assumptions\n\nThe structure finds what you're taking for granted. Hypotheses are tested, not accepted.\n\n3\n\n### Reach the physics\n\nDrill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.\n\n4\n\n### Choose a path forward\n\nFork paths from the real problem, sorted from quick wins to structural change.\n\nSee how it works\n\n## Layer 00: Intake\n\nWe keep missing deadlines despite accurate estimates. Happens across teams.\n\n## Find the real problem.\n\nFor one person\n\n3 problems solved free\n\nthen $49/month\n\n- \\--7-stage structured process, not open-ended chat\n- \\--Surfaces your assumptions and strikes through what doesn't hold\n- \\--Fork paths sorted from quick wins to structural change\n- \\--Start even when you can't articulate the problem yet\n\nFor a whole team\n\n5 seats, one shared history\n\n$99/month. Add seats as you grow.\n\n- \\--The same 7 stages, for everyone on the team\n- \\--The whole team reads every session by default\n- \\--Only the owner can change billing\n- \\--Weeks later, see which decisions actually held up\n\nStart with the problem that keeps coming back.\n",
"fullPageMarkdown": "Problem.Cockpit — Stop Solving the Wrong Problem\n\n[Skip to content](https://problemcockpit.com/#main-content)\n\n[Problem.Cockpit\n\n](https://problemcockpit.com/)\n\n[Sign Up](https://problemcockpit.com/sign-up)\n\n# Most problem-solving starts too late.\n\nA structured excavation that surfaces your assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n[Start Free](https://problemcockpit.com/sign-up?redirect=/excavate)\n\n3 problems solved free. Then $49/month.\n\n## How it works\n\n1### Name what's wrong\n\nStart with whatever you have -- a hunch, a frustration, a brain dump. Clarity comes from the process, not before it.\n\n2### Surface your assumptions\n\nThe structure finds what you're taking for granted. Hypotheses are tested, not accepted.\n\n3### Reach the physics\n\nDrill until you hit the irreducible truth -- the constraint that won't move no matter how you reframe it.\n\n4### Choose a path forward\n\nFork paths from the real problem, sorted from quick wins to structural change.\n\nSee how it works\n\n## Layer 00: Intake\n\nWe keep missing deadlines despite accurate estimates. Happens across teams.\n\nNext\n\n## Find the real problem.\n\nFor one person\n\n3 problems solved free\n\nthen $49/month\n\n- \\--7-stage structured process, not open-ended chat\n- \\--Surfaces your assumptions and strikes through what doesn't hold\n- \\--Fork paths sorted from quick wins to structural change\n- \\--Start even when you can't articulate the problem yet\n\n[Start Free](https://problemcockpit.com/sign-up)\n\nFor a whole team\n\n5 seats, one shared history\n\n$99/month. Add seats as you grow.\n\n- \\--The same 7 stages, for everyone on the team\n- \\--The whole team reads every session by default\n- \\--Only the owner can change billing\n- \\--Weeks later, see which decisions actually held up\n\n[Start a Team](https://problemcockpit.com/team)\n\nStart with the problem that keeps coming back.\n",
"markdownStats": {
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"links": 0,
"tables": 0,
"codeBlocks": 0,
"headings": 8
},
"tokens": {
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"score": {
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"grade": "B",
"rubricVersion": 3,
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"weight": 30,
"grade": "A",
"checks": {
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"score": 100,
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"evidence": "proven",
"details": "Content available without JavaScript"
},
"fast_content_position": {
"score": 100,
"weight": 25,
"evidence": "plausible",
"details": "Main content starts at 18% of HTML"
},
"reasonable_page_size": {
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"evidence": "plausible",
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"checks": {
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"evidence": "proven",
"details": "All major AI search bots allowed"
},
"supports_markdown_negotiation": {
"score": 0,
"weight": 20,
"evidence": "plausible",
"details": "No Markdown for Agents support detected"
},
"has_sitemap": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "Sitemap found"
},
"has_robots_txt": {
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"evidence": "plausible",
"details": "robots.txt exists"
},
"has_llms_txt": {
"score": 0,
"weight": 10,
"evidence": "speculative",
"details": "No llms.txt found"
},
"has_content_signals": {
"score": 0,
"weight": 10,
"evidence": "speculative",
"details": "No Content-Signal found (robots.txt or HTTP headers)",
"mechanisms": {
"robotsTxt": false,
"httpHeader": false,
"policy": false
}
}
}
},
"structuredData": {
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"checks": {
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"weight": 35,
"evidence": "proven",
"details": "JSON-LD found: Organization, WebSite"
},
"has_open_graph": {
"score": 100,
"weight": 20,
"evidence": "plausible",
"details": "All OG tags present"
},
"has_meta_description": {
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},
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"details": "Canonical URL present"
},
"has_lang_attribute": {
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}
}
},
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},
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"evidence": "plausible",
"details": "Has <main>"
},
"semantic_elements": {
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"weight": 20,
"evidence": "plausible",
"details": "8 semantic elements, 31 divs (ratio: 21%)"
},
"meaningful_alt_texts": {
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"weight": 15,
"evidence": "plausible",
"details": "No images found"
},
"low_div_nesting": {
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"details": "Avg div depth: 3.3, max: 6"
}
}
},
"contentEfficiency": {
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"checks": {
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},
"content_to_noise_ratio": {
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"weight": 30,
"evidence": "speculative",
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},
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"weight": 20,
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"details": "HTML size: 35KB"
},
"minimal_inline_styles": {
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"evidence": "speculative",
"details": "1/162 elements with inline styles (0.6%)"
}
}
}
}
},
"recommendations": [
{
"id": "add_markdown_negotiation",
"priority": "critical",
"category": "aiDiscoverability",
"titleKey": "rec.add_markdown_negotiation.title",
"descriptionKey": "rec.add_markdown_negotiation.description",
"howToKey": "rec.add_markdown_negotiation.howto",
"howToStepKeys": null,
"effort": "significant",
"estimatedImpact": 5,
"maxImpact": 5,
"evidence": "plausible",
"checkScore": 0,
"checkDetails": "No Markdown for Agents support detected"
},
{
"id": "improve_content_ratio",
"priority": "high",
"category": "contentEfficiency",
"titleKey": "rec.improve_content_ratio.title",
"descriptionKey": "rec.improve_content_ratio.description",
"howToKey": "rec.improve_content_ratio.howto",
"howToStepKeys": null,
"effort": "moderate",
"estimatedImpact": 3,
"maxImpact": 3,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)"
},
{
"id": "add_llms_txt",
"priority": "high",
"category": "aiDiscoverability",
"titleKey": "rec.add_llms_txt.title",
"descriptionKey": "rec.add_llms_txt.description",
"howToKey": "rec.add_llms_txt.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 2.5,
"maxImpact": 2.5,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "No llms.txt found"
},
{
"id": "add_content_signals",
"priority": "high",
"category": "aiDiscoverability",
"titleKey": "rec.add_content_signals.title",
"descriptionKey": "rec.add_content_signals.description",
"howToKey": "rec.add_content_signals.howto",
"howToStepKeys": null,
"effort": "quick-win",
"estimatedImpact": 2.5,
"maxImpact": 2.5,
"evidence": "speculative",
"checkScore": 0,
"checkDetails": "No Content-Signal found (robots.txt or HTTP headers)"
}
],
"llmsTxtPreview": "# Problem.Cockpit\n\n> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n## Main\n- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…\n- [Gallery](https://problemcockpit.com/gallery)\n- [Sign In](https://problemcockpit.com/sign-in)\n- [Sign Up](https://problemcockpit.com/sign-up)\n\n## Blog\n- [Blog](https://problemcockpit.com/blog)\n\n## Legal\n- [Terms](https://problemcockpit.com/terms)\n- [Privacy](https://problemcockpit.com/privacy)\n\n",
"llmsTxtExisting": null,
"emergingProtocols": {
"oauthProtectedResource": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/oauth-protected-resource"
},
"oauthDiscovery": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/oauth-authorization-server"
},
"mcpServerCard": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/mcp/server-card.json",
"draft": true
},
"a2aAgentCard": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/agent-card.json"
},
"apiCatalog": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/api-catalog"
},
"agentSkills": {
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"url": "https://problemcockpit.com/.well-known/agent-skills/index.json",
"draft": true
},
"count": 0,
"total": 6
},
"botAccess": {
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"bot": "OAI-SearchBot",
"controlStatus": 200,
"botStatus": 200,
"discriminates": false,
"refusedAsBot": false,
"edge": "Vercel",
"verifiable": false,
"detail": "This origin answers OAI-SearchBot exactly as it answers any other client (200). No edge-level filtering of AI crawlers observed."
},
"snippets": [
{
"id": "add_llms_txt",
"title": "Create /llms.txt",
"description": "Upload this file to your web root. It tells AI agents what your site is about and which pages matter.",
"language": "markdown",
"code": "# Problem.Cockpit\n\n> Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the symptom. One conversation. One real answer.\n\n## Main\n- [Problem.Cockpit — Stop Solving the Wrong Problem](https://problemcockpit.com/): Structured root cause excavation that surfaces assumptions, tests them, and names the irreducible truth beneath the sym…\n- [Gallery](https://problemcockpit.com/gallery)\n- [Sign In](https://problemcockpit.com/sign-in)\n- [Sign Up](https://problemcockpit.com/sign-up)\n\n## Blog\n- [Blog](https://problemcockpit.com/blog)\n\n## Legal\n- [Terms](https://problemcockpit.com/terms)\n- [Privacy](https://problemcockpit.com/privacy)\n\n",
"filename": "/llms.txt"
},
{
"id": "add_content_signals",
"title": "Add Content-Signal directives",
"description": "Content-Signal tells AI agents how they may use your content. The canonical location is robots.txt, but you can also expose it as an HTTP header from any stack.",
"language": "txt",
"code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no",
"filename": "/robots.txt",
"stacks": [
{
"id": "robots",
"label": "robots.txt",
"language": "txt",
"filename": "/robots.txt",
"code": "User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no"
},
{
"id": "nginx",
"label": "Nginx",
"language": "nginx",
"filename": "server block",
"code": "# Inside your server { } block:\nadd_header Content-Signal \"search=yes, ai-input=yes, ai-train=no\" always;"
},
{
"id": "apache",
"label": "Apache",
"language": "apache",
"filename": ".htaccess",
"code": "# In .htaccess (or VirtualHost):\nHeader set Content-Signal \"search=yes, ai-input=yes, ai-train=no\""
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// In your theme's functions.php or a small mu-plugin\nadd_action('send_headers', function () {\n header('Content-Signal: search=yes, ai-input=yes, ai-train=no');\n});\n\n// Optional: also append the directive to the dynamic robots.txt\nadd_filter('robots_txt', function ($output) {\n return $output . \"\\nContent-Signal: search=yes, ai-input=yes, ai-train=no\\n\";\n}, 10, 1);"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "middleware.ts",
"code": "// middleware.ts (Next.js 13+ App Router or Pages Router)\nimport { NextResponse } from 'next/server';\nexport function middleware() {\n const res = NextResponse.next();\n res.headers.set(\n 'Content-Signal',\n 'search=yes, ai-input=yes, ai-train=no'\n );\n return res;\n}\nexport const config = { matcher: '/:path*' };"
},
{
"id": "cloudflare",
"label": "Cloudflare Workers",
"language": "javascript",
"filename": "worker.js",
"code": "// Cloudflare Worker that proxies your origin and adds the header\nexport default {\n async fetch(request, env, ctx) {\n const res = await fetch(request);\n const newRes = new Response(res.body, res);\n newRes.headers.set(\n 'Content-Signal',\n 'search=yes, ai-input=yes, ai-train=no'\n );\n return newRes;\n },\n};"
},
{
"id": "express",
"label": "Express / Fastify",
"language": "javascript",
"filename": "server.js",
"code": "// Express\napp.use((req, res, next) => {\n res.setHeader('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n next();\n});\n\n// Fastify\nfastify.addHook('onSend', (request, reply, payload, done) => {\n reply.header('Content-Signal', 'search=yes, ai-input=yes, ai-train=no');\n done();\n});"
}
]
},
{
"id": "add_markdown_negotiation",
"title": "Support Markdown for Agents",
"description": "Let AI agents request a clean Markdown version of any page via content negotiation, .md alternate URLs, link tags or Link headers.",
"language": "html",
"code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">",
"filename": "<head>",
"stacks": [
{
"id": "html",
"label": "HTML <head>",
"language": "html",
"filename": "<head>",
"code": "<!-- Mechanism 3: link tag advertising the .md alternate -->\n<link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
},
{
"id": "express",
"label": "Express",
"language": "javascript",
"filename": "server.js",
"code": "// Mechanisms 1 + 4: content negotiation + Link header\napp.get('/page', (req, res) => {\n res.setHeader('Vary', 'Accept');\n res.setHeader('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n res.type('text/markdown; charset=utf-8');\n return res.send(renderMarkdown('page'));\n }\n res.render('page');\n});"
},
{
"id": "fastify",
"label": "Fastify",
"language": "javascript",
"filename": "server.js",
"code": "// Mechanisms 1 + 4: content negotiation + Link header\nfastify.get('/page', async (req, reply) => {\n reply.header('Vary', 'Accept');\n reply.header('Link', '</page.md>; rel=\"alternate\"; type=\"text/markdown\"');\n if ((req.headers.accept || '').includes('text/markdown')) {\n return reply.type('text/markdown; charset=utf-8').send(renderMarkdown('page'));\n }\n return reply.view('/page.ejs');\n});"
},
{
"id": "nextjs",
"label": "Next.js",
"language": "typescript",
"filename": "app/page/route.ts",
"code": "// Next.js App Router — Route Handler returning Markdown\nimport { NextRequest } from 'next/server';\nimport { renderMarkdown } from '@/lib/md';\nexport async function GET(req: NextRequest) {\n const accept = req.headers.get('accept') || '';\n if (accept.includes('text/markdown')) {\n return new Response(await renderMarkdown('page'), {\n headers: {\n 'Content-Type': 'text/markdown; charset=utf-8',\n 'Vary': 'Accept',\n },\n });\n }\n // Fall through to the page component\n return new Response(null, { status: 404 });\n}"
},
{
"id": "wordpress",
"label": "WordPress",
"language": "php",
"filename": "functions.php",
"code": "<?php\n// Mechanism 1: respond to Accept: text/markdown on the same URL\nadd_action('template_redirect', function () {\n if (!is_singular()) return;\n $accept = $_SERVER['HTTP_ACCEPT'] ?? '';\n if (strpos($accept, 'text/markdown') === false) return;\n header('Content-Type: text/markdown; charset=utf-8');\n header('Vary: Accept');\n $post = get_queried_object();\n echo \"# \" . get_the_title($post) . \"\\n\\n\";\n echo wp_strip_all_tags(apply_filters('the_content', $post->post_content));\n exit;\n});"
},
{
"id": "static",
"label": "Hugo / Jekyll / Astro",
"language": "txt",
"filename": "static/page.md",
"code": "# Mechanism 2: serve .md alongside .html\n# Hugo: place page.md in /static/ — built unchanged\n# Jekyll: drop page.md in /assets/ — copied as-is\n# Astro: src/pages/page.md.ts that exports a GET returning markdown\n\n# Then advertise with mechanism 3 in <head>:\n# <link rel=\"alternate\" type=\"text/markdown\" href=\"/page.md\">"
}
]
}
]
}
Usa nuestra API para obtener esto de forma programática (próximamente)
Este JSON es para uso interno — a diferencia del Markdown y llms.txt, no está pensado para subirse a tu web. Guárdalo como referencia para seguir la evolución de tu puntuación, compártelo con tu equipo de desarrollo o intégralo en tu pipeline CI/CD.
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