URL analysée
https://problemcockpit.com/
Mesuré il y a 1 heure
Score AI-Ready
Bon
sur 100
Économie de tokens
Détail du score
Protocoles émergents
0 sur 6 détectésEndpoints well-known recherchés par les agents IA. Détecté signifie qu’un agent peut découvrir et se connecter automatiquement à votre service.
-
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
Cela ne reste pas en place. La surveillance n'existe pas encore : inscrivez-vous, on vous préviendra.
Vous êtes sur la liste ! Nous vous préviendrons lors du lancement.
Ce que nous avons mesuré No Markdown for Agents support detected
Votre site ne supporte pas Markdown for Agents. Ce standard Cloudflare permet aux agents IA de demander du contenu en format markdown, réduisant l'utilisation de tokens de ~80%.
Comment implémenter
Implémentez un ou plusieurs : (1) Répondre à Accept: text/markdown avec du contenu markdown. (2) Servir des URLs .md (ex : /page.md). (3) Ajouter des balises <link rel="alternate" type="text/markdown">. (4) Ajouter des en-têtes HTTP Link pour la découverte markdown.
Ce que nous avons mesuré Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)
Votre page a un faible ratio de contenu réel par rapport au HTML total. Une grande partie du poids de la page est du balisage, des scripts ou des styles plutôt que du contenu.
Comment implémenter
Déplacez le CSS vers des feuilles de style externes, supprimez les styles en ligne, minimisez le JavaScript et assurez-vous que le HTML se concentre sur la structure du contenu.
Ce que nous avons mesuré No llms.txt found
Votre site n’a pas de fichier llms.txt. C’est le standard émergent pour aider les AI agents à comprendre la structure de votre site.
Comment implémenter
Créez un fichier /llms.txt en suivant la spécification de llmstxt.org. Incluez une description du site et des liens vers vos pages principales.
Ce que nous avons mesuré No Content-Signal found (robots.txt or HTTP headers)
Aucune directive Content-Signal trouvée. Celles-ci indiquent aux agents IA comment ils peuvent utiliser votre contenu (indexation, entrée IA, données d'entraînement). L'emplacement recommandé est robots.txt.
Comment implémenter
Ajoutez Content-Signal à votre robots.txt : User-agent: *\nContent-Signal: search=yes, ai-input=yes, ai-train=no. Vous pouvez aussi l'ajouter comme en-tête HTTP sur les réponses 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.
Téléversez ce fichier sous /index.md sur votre serveur pour que les AI agents puissent accéder à une version propre de votre page. Vous pouvez également configurer la négociation de contenu Accept: text/markdown pour le servir automatiquement.
llms.txt généré pour cette page individuelle
# 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)
Le llms.txt complet nécessite une analyse de tout le domaine (bientôt disponible)
Téléversez ce fichier vers https://problemcockpit.com/llms.txt à la racine de votre domaine. Les AI agents comme ChatGPT, Claude et Perplexity consultent ce fichier pour comprendre la structure de votre site.
Accessibilité
Content available without JavaScript
Main content starts at 18% of HTML
Page size: 35KB
Visibilité IA
All major AI search bots allowed
Sitemap found
robots.txt exists
No llms.txt found
Données structurées
JSON-LD found: Organization, WebSite
All OG tags present
Meta description: 159 chars
Canonical URL present
lang="en"
HTML sémantique
Clean heading hierarchy
Has <main>
8 semantic elements, 31 divs (ratio: 21%)
No images found
Avg div depth: 3.3, max: 6
Efficacité du contenu
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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"url": "https://problemcockpit.com/",
"timestamp": 1792412868895,
"fetch": {
"mode": "simple",
"timeMs": 412,
"htmlSizeBytes": 35613,
"supportsMarkdown": false,
"markdownAgents": {
"contentNegotiation": false,
"mdUrl": {
"found": false,
"url": null
},
"linkTag": {
"found": false,
"url": null
},
"linkHeader": {
"found": false,
"url": null
},
"responseHeaders": {
"contentSignal": null,
"xMarkdownTokens": null,
"vary": null
},
"frontmatter": {
"present": false,
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"extraction": {
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"ogImage": "https://problemcockpit.com/opengraph-image?1bf0182397b45598",
"ogType": "website",
"canonical": "https://problemcockpit.com",
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"schemas": [
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"url": "https://problemcockpit.com",
"description": "AI-powered root cause excavation for engineering teams."
},
{
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"name": "Problem.Cockpit",
"url": "https://problemcockpit.com",
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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": {
"images": 0,
"links": 0,
"tables": 0,
"codeBlocks": 0,
"headings": 8
},
"tokens": {
"htmlTokens": 10138,
"markdownTokens": 360,
"reduction": 9778,
"reductionPercent": 96
},
"score": {
"score": 86,
"grade": "B",
"rubricVersion": 3,
"dimensions": {
"accessibility": {
"score": 100,
"weight": 30,
"grade": "A",
"checks": {
"content_without_js": {
"score": 100,
"weight": 55,
"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": {
"score": 100,
"weight": 20,
"evidence": "plausible",
"details": "Page size: 35KB"
}
}
},
"aiDiscoverability": {
"score": 60,
"weight": 25,
"grade": "C",
"checks": {
"robots_allows_ai_bots": {
"score": 100,
"weight": 35,
"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": {
"score": 100,
"weight": 10,
"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": {
"score": 100,
"weight": 20,
"grade": "A",
"checks": {
"has_schema_org": {
"score": 100,
"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": {
"score": 100,
"weight": 20,
"evidence": "plausible",
"details": "Meta description: 159 chars"
},
"has_canonical_url": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "Canonical URL present"
},
"has_lang_attribute": {
"score": 100,
"weight": 10,
"evidence": "plausible",
"details": "lang=\"en\""
}
}
},
"semanticHtml": {
"score": 94,
"weight": 15,
"grade": "A",
"checks": {
"proper_heading_hierarchy": {
"score": 100,
"weight": 30,
"evidence": "plausible",
"details": "Clean heading hierarchy"
},
"uses_article_or_main": {
"score": 100,
"weight": 25,
"evidence": "plausible",
"details": "Has <main>"
},
"semantic_elements": {
"score": 68,
"weight": 20,
"evidence": "plausible",
"details": "8 semantic elements, 31 divs (ratio: 21%)"
},
"meaningful_alt_texts": {
"score": 100,
"weight": 15,
"evidence": "plausible",
"details": "No images found"
},
"low_div_nesting": {
"score": 100,
"weight": 10,
"evidence": "speculative",
"details": "Avg div depth: 3.3, max: 6"
}
}
},
"contentEfficiency": {
"score": 70,
"weight": 10,
"grade": "C",
"checks": {
"token_reduction_ratio": {
"score": 100,
"weight": 40,
"evidence": "speculative",
"details": "96% token reduction (HTML→Markdown)"
},
"content_to_noise_ratio": {
"score": 0,
"weight": 30,
"evidence": "speculative",
"details": "Content ratio: 4.0% (1416 content chars / 35613 HTML bytes)"
},
"reasonable_page_weight": {
"score": 100,
"weight": 20,
"evidence": "speculative",
"details": "HTML size: 35KB"
},
"minimal_inline_styles": {
"score": 100,
"weight": 10,
"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": {
"exists": false,
"url": "https://problemcockpit.com/.well-known/agent-skills/index.json",
"draft": true
},
"count": 0,
"total": 6
},
"botAccess": {
"probed": true,
"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\">"
}
]
}
]
}
Utilisez notre API pour obtenir ceci de manière programmatique (bientôt disponible)
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