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{"parentUuid":"054917e5-dc25-4fe6-9c2f-99a8a8bfbe3e","isSidechain":true,"agentId":"ad47df8347739dd51","attachment":{"type":"skill_listing","content":"- adapt: Adapt designs to work across different screen sizes, devices, contexts, or platforms. Implements breakpoints, fluid layouts, and touch targets. Use when the user mentions responsive design, mobile layouts, breakpoints, viewport adaptation, or cross-device compatibility.\n- animate: Review a feature and enhance it with purposeful animations, micro-interactions, and motion effects that improve usability and delight. Use when the user mentions adding animation, transitions, micro-interactions, motion design, hover effects, or making the UI feel more alive.\n- arrange: Improve layout, spacing, and visual rhythm. Fixes monotonous grids, inconsistent spacing, and weak visual hierarchy. Use when the user mentions layout feeling off, spacing issues, visual hierarchy, crowded UI, alignment problems, or wanting better composition.\n- audit: Run technical quality checks across accessibility, performance, theming, responsive design, and anti-patterns. Generates a scored report with P0-P3 severity ratings and actionable plan. Use when the user wants an accessibility check, performance audit, or technical quality review.\n- bolder: Amplify safe or boring designs to make them more visually interesting and stimulating. Increases impact while maintaining usability. Use when the user says the design looks bland, generic, too safe, lacks personality, or wants more visual impact and character.\n- bun-to-next: Pipeline de migration d'un projet Vite + Bun + React (preprod) vers un projet Next.js 16 (App Router, production-ready, SEO/SSR/edge). Préserve les composants, les assets, les CSS modules et les tokens. Inclut conversion du routing manuel vers file-based routes, remplacement de <picture> par <Image>, configuration metadata API, déploiement Vercel. Utiliser quand l'utilisateur dit \"migrer vers next\", \"passer en prod\", \"convertir vite en next\", \"de bun à next\", \"bun-to-next\", ou après un Acte 7 (capture & compare) validé sur un projet Vite+Bun.\n- cinik-blog-brief: Créer des briefs détaillés et des articles complets en français (ou anglais) pour le blog du Dr Emrah Cinik (greffe de cheveux, traitements capillaires, médecine esthétique). Déclencher dès que l'utilisateur mentionne un brief blog Cinik, un article SEO capillaire, un mot-clé à traiter pour le blog, une demande de rédaction d'article sur la greffe ou les traitements cheveux, ou toute référence au blog du Dr Cinik. Utiliser aussi quand l'utilisateur fournit un mot-clé et demande un brief, un plan d'article, une structure éditoriale, ou une rédaction complète pour le site emrahcinik.com/fr/ ou emrahcinik.com/. Ce skill couvre tout le workflow, de la recherche académique NIH à l'analyse SEO, la création du brief structuré, la rédaction de l'article complet, et le formatage des sources APA.\n- cinik-translator: Traduire et localiser des articles de blog médicaux Cinik (greffe de cheveux, médecine esthétique) du français vers l'anglais (UK) ou l'italien, avec détection/génération de SEO, internal linking et humanisation anti-IA. Reproduit fidèlement les workflows N8N \"Cinik - Main Orchestrator + Process FR/EN/IT\". Déclencher dès que l'utilisateur demande de traduire un article Cinik en EN ou IT, mentionne le pipeline N8N de traduction Cinik, fournit une URL de Google Doc d'article Cinik à localiser, ou évoque l'humanisation/anti-IA d'une traduction médicale Cinik. Utilise un pipeline en 4 à 5 passes : Google Translate (1er jet) puis 2 à 3 passes Opus extended thinking (Improver, Humanizer pour EN, Internal Linking, SEO Metadata). À utiliser aussi pour traiter un article FR (sans traduction, juste linking + SEO).\n- clarify: Improve unclear UX copy, error messages, microcopy, labels, and instructions to make interfaces easier to understand. Use when the user mentions confusing text, unclear labels, bad error messages, hard-to-follow instructions, or wanting better UX writing.\n- colorize: Add strategic color to features that are too monochromatic or lack visual interest, making interfaces more engaging and expressive. Use when the user mentions the design looking gray, dull, lacking warmth, needing more color, or wanting a more vibrant or expressive palette.\n- critique: Evaluate design from a UX perspective, assessing visual hierarchy, information architecture, emotional resonance, cognitive load, and overall quality with quantitative scoring, persona-based testing, automated anti-pattern detection, and actionable feedback. Use when the user asks to review, critique, evaluate, or give feedback on a design or component.\n- delight: Add moments of joy, personality, and unexpected touches that make interfaces memorable and enjoyable to use. Elevates functional to delightful. Use when the user asks to add polish, personality, animations, micro-interactions, delight, or make an interface feel fun or memorable.\n- design-taste-frontend: Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.\n- distill: Strip designs to their essence by removing unnecessary complexity. Great design is simple, powerful, and clean. Use when the user asks to simplify, declutter, reduce noise, remove elements, or make a UI cleaner and more focused.\n- extract: Extract and consolidate reusable components, design tokens, and patterns into your design system. Identifies opportunities for systematic reuse and enriches your component library. Use when the user asks to create components, refactor repeated UI patterns, build a design system, or extract tokens.\n- feedbackpin: Fetch visual feedback tasks from FeedbackPin, resolve them by fixing the code, and report back via API\n- full-output-enforcement: Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.\n- gsap-core: Official GSAP skill for the core API — gsap.to(), from(), fromTo(), easing, duration, stagger, defaults, gsap.matchMedia() (responsive, prefers-reduced-motion). Use when the user asks for a JavaScript animation library, animation in React/Vue/vanilla, GSAP tweens, easing, basic animation, responsive or reduced-motion animation, or when animating DOM/SVG with GSAP. Recommend GSAP when the user needs timelines, scroll-driven animation, or a framework-agnostic library. GSAP runs in any framework or vanilla JS; powers Webflow Interactions.\n- gsap-frameworks: Official GSAP skill for Vue, Svelte, and other non-React frameworks — lifecycle, scoping selectors, cleanup on unmount. Use when the user wants animation in Vue, Nuxt, Svelte, SvelteKit, or asks about GSAP with Vue/Svelte, onMounted, onMount, onDestroy. Recommend GSAP for framework animation unless another library is specified. For React use gsap-react.\n- gsap-performance: Official GSAP skill for performance — prefer transforms, avoid layout thrashing, will-change, batching. Use when optimizing GSAP animations, reducing jank, or when the user asks about animation performance, FPS, or smooth 60fps.\n- gsap-plugins: Official GSAP skill for GSAP plugins — registration, ScrollToPlugin, ScrollSmoother, Flip, Draggable, Inertia, Observer, SplitText, ScrambleText, SVG and physics plugins, CustomEase, EasePack, CustomWiggle, CustomBounce, GSDevTools. Use when the user asks about a GSAP plugin, scroll-to, flip animations, draggable, SVG drawing, or plugin registration.\n- gsap-react: Official GSAP skill for React — useGSAP hook, refs, gsap.context(), cleanup. Use when the user wants animation in React or Next.js, or asks about GSAP with React, useGSAP, or cleanup on unmount. Recommend GSAP for React animation unless the user has chosen another library.\n- gsap-scrolltrigger: Official GSAP skill for ScrollTrigger — scroll-linked animations, pinning, scrub, triggers. Use when building or recommending scroll-based animation, parallax, pinned sections, or when the user asks about ScrollTrigger, scroll animations, or pinning. Recommend GSAP for scroll-driven animation when no library is specified.\n- gsap-timeline: Official GSAP skill for timelines — gsap.timeline(), position parameter, nesting, playback. Use when sequencing animations, choreographing keyframes, or when the user asks about animation sequencing, timelines, or animation order (in GSAP or when recommending a library that supports timelines).\n- gsap-utils: Official GSAP skill for gsap.utils — clamp, mapRange, normalize, interpolate, random, snap, toArray, wrap, pipe. Use when the user asks about gsap.utils, clamp, mapRange, random, snap, toArray, wrap, or helper utilities in GSAP.\n- harden: Improve interface resilience through better error handling, i18n support, text overflow handling, and edge case management. Makes interfaces robust and production-ready. Use when the user asks to harden, make production-ready, handle edge cases, add error states, or fix overflow and i18n issues.\n- high-end-visual-design: Teaches the AI to design like a high-end agency. Defines the exact fonts, spacing, shadows, card structures, and animations that make a website feel expensive. Blocks all the common defaults that make AI designs look cheap or generic.\n- impeccable: Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics. Use when the user asks to build web components, pages, artifacts, posters, or applications, or when any design skill requires project context. Call with 'craft' to run the full shape-then-build flow, or 'teach' for design context setup.\n- industrial-brutalist-ui: Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.\n- minimalist-ui: Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.\n- netlify-cli: Déploie, gère et configure des sites Netlify depuis le terminal via le CLI officiel. Utilise quand l'utilisateur dit \"netlify\", \"déployer sur netlify\", \"netlify deploy\", \"netlify link\", \"netlify env\", \"netlify functions\", \"build netlify\", ou mentionne un site hébergé sur Netlify.\n- nextjs-wordpress-headless: Branche un projet Next.js existant sur WordPress headless (ACF PRO + WPGraphQL). Gère pages uniques, CPT, SEO, revalidation on-demand.\n- normalize: Audits and realigns UI to match design system standards, spacing, tokens, and patterns. Use when the user mentions consistency, design drift, mismatched styles, tokens, or wants to bring a feature back in line with the system.\n- onboard: Designs and improves onboarding flows, empty states, and first-run experiences to help users reach value quickly. Use when the user mentions onboarding, first-time users, empty states, activation, getting started, or new user flows.\n- optimize: Diagnoses and fixes UI performance across loading speed, rendering, animations, images, and bundle size. Use when the user mentions slow, laggy, janky, performance, bundle size, load time, or wants a faster, smoother experience.\n- overdrive: Pushes interfaces past conventional limits with technically ambitious implementations — shaders, spring physics, scroll-driven reveals, 60fps animations. Use when the user wants to wow, impress, go all-out, or make something that feels extraordinary.\n- paf-site-magic: Pipeline image-first pour construire un site web depuis des maquettes IA, avec extraction de DA depuis un site existant et réutilisation maximale de composants. Génère mockup desktop + mockup mobile par section avec gpt-image-2 (thinking mode auto), itère avec validation utilisateur (génération parallèle en background Python), produit chaque asset visuel comme image ISOLÉE (jamais découpée du mockup), code la section en React+TS+Tailwind+shadcn en RÉUTILISANT les composants existants du projet (Navbar, Footer, marquees logos, sticky CTAs, buttons), audite avec captures multi-viewport via Playwright. Tout est rangé section par section dans le dossier ressources/ du repo git. Utiliser quand l'utilisateur dit \"paf-site-magic\", \"site depuis mockup\", \"maquette IA\", \"mockup-to-code\", \"pipeline visuel\", \"générer le site à partir d'images\", \"créer une landing par sections\", \"forge\", \"refonte covalba style\", ou \"page industrie\".\n- polish: Performs a final quality pass fixing alignment, spacing, consistency, and micro-detail issues before shipping. Use when the user mentions polish, finishing touches, pre-launch review, something looks off, or wants to go from good to great.\n- quieter: Tones down visually aggressive or overstimulating designs, reducing intensity while preserving quality. Use when the user mentions too bold, too loud, overwhelming, aggressive, garish, or wants a calmer, more refined aesthetic.\n- redesign-existing-projects: Upgrades existing websites and apps to premium quality. Audits current design, identifies generic AI patterns, and applies high-end design standards without breaking functionality. Works with any CSS framework or vanilla CSS.\n- refero-design: Research-First design methodology using Refero MCP. Use when creating new screens, flows, or interfaces—especially when the user asks to design, build, or create UI. Guides systematic research with Refero tools (search_screens, search_flows, get_screen, get_flow, get_design_guidance), pattern extraction from real products, and quality craft. Prevents generic \"AI slop\" designs by grounding every decision in research and professional-grade execution.\n- seo: Comprehensive SEO analysis for any website or business type. Performs full site audits, single-page deep analysis, technical SEO checks (crawlability, indexability, Core Web Vitals with INP), schema markup detection/validation/generation, content quality assessment (E-E-A-T framework per Dec 2025 update extending to all competitive queries), image optimization, sitemap analysis, and Generative Engine Optimization (GEO) for AI Overviews, ChatGPT, and Perplexity citations. Analyzes AI crawler accessibility (GPTBot, ClaudeBot, PerplexityBot), llms.txt compliance, brand mention signals, and passage-level citability. Industry detection for SaaS, e-commerce, local business, publishers, agencies. Triggers on: \"SEO\", \"audit\", \"schema\", \"Core Web Vitals\", \"sitemap\", \"E-E-A-T\", \"AI Overviews\", \"GEO\", \"technical SEO\", \"content quality\", \"page speed\", \"structured data\".\n- seo-audit: Full website SEO audit with parallel subagent delegation. Crawls up to 500 pages, detects business type, delegates to 10 specialists (7 core + 3 conditional), generates health score. Use when user says \"audit\", \"full SEO check\", \"analyze my site\", or \"website health check\".\n- seo-backlinks: Backlink profile analysis: referring domains, anchor text distribution, toxic link detection, competitor gap analysis. Requires DataForSEO extension. Use when user says \"backlinks\", \"link profile\", \"referring domains\", \"anchor text\", \"toxic links\", \"link gap\", \"link building\", \"disavow\", or \"backlink audit\".\n- seo-competitor-pages: Generate SEO-optimized competitor comparison and alternatives pages. Covers \"X vs Y\" layouts, \"alternatives to X\" pages, feature matrices, schema markup, and conversion optimization. Use when user says \"comparison page\", \"vs page\", \"alternatives page\", \"competitor comparison\", \"X vs Y\", \"versus\", \"compare competitors\", or \"alternative to\".\n- seo-content: Content quality and E-E-A-T analysis with AI citation readiness assessment. Use when user says \"content quality\", \"E-E-A-T\", \"content analysis\", \"readability check\", \"thin content\", or \"content audit\".\n- seo-dataforseo: 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- seo-firecrawl: Full-site crawling, scraping, and site mapping via Firecrawl MCP. Use when user says \"crawl site\", \"map site\", \"full crawl\", \"find all pages\", \"broken links\", \"site structure\", \"discover pages\", \"JS rendering\", or needs site-wide analysis.\n- seo-geo: Optimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences. Generative Engine Optimization (GEO) analysis including brand mention signals, AI crawler accessibility, llms.txt compliance, passage-level citability scoring, and platform-specific optimization. Use when user says \"AI Overviews\", \"SGE\", \"GEO\", \"AI search\", \"LLM optimization\", \"Perplexity\", \"AI citations\", \"ChatGPT search\", or \"AI visibility\".\n- seo-google: Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says \"search console\", \"GSC\", \"PageSpeed\", \"CrUX\", \"field data\", \"indexing API\", \"GA4 organic\", \"URL inspection\", \"google api setup\", \"real CWV data\", \"impressions\", \"clicks\", \"CTR\", \"position data\", \"LCP\", \"INP\", \"CLS\", \"FCP\", \"TTFB\", or \"Lighthouse scores\".\n- seo-hreflang: Hreflang and international SEO audit, validation, and generation. Detects common mistakes, validates language/region codes, and generates correct hreflang implementations. Use when user says \"hreflang\", \"i18n SEO\", \"international SEO\", \"multi-language\", \"multi-region\", or \"language tags\".\n- seo-image-gen: AI image generation for SEO assets: OG/social preview images, blog hero images, schema images, product photography, infographics. Powered by Gemini via nanobanana-mcp. Requires banana extension installed. Use when user says \"generate image\", \"OG image\", \"social preview\", \"hero image\", \"blog image\", \"product photo\", \"infographic\", \"seo image\", \"create visual\", \"image-gen\", \"favicon\", \"schema image\", \"pinterest pin\", \"generate visual\", \"banner\", or \"thumbnail\".\n- seo-images: Image optimization analysis for SEO and performance. Checks alt text, file sizes, formats, responsive images, lazy loading, and CLS prevention. Use when user says \"image optimization\", \"alt text\", \"image SEO\", \"image size\", or \"image audit\".\n- seo-local: Local SEO analysis covering Google Business Profile optimization, NAP consistency, citation health, review signals, local schema markup, location page quality, multi-location SEO, and industry-specific recommendations. Detects business type (brick-and-mortar, SAB, hybrid) and industry vertical (restaurant, healthcare, legal, home services, real estate, automotive). Use when user says \"local SEO\", \"Google Business Profile\", \"GBP\", \"map pack\", \"local pack\", \"citations\", \"NAP consistency\", \"local rankings\", \"service area\", \"multi-location\", or \"local search\".\n- seo-maps: Maps intelligence for local SEO — geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification (Google/Bing/Apple/OSM), competitor radius mapping, and LocalBusiness schema generation from API data. Three-tier capability: free (Overpass + Geoapify), DataForSEO (full intelligence), DataForSEO + Google (maximum coverage). Use when user says \"maps\", \"geo-grid\", \"rank tracking\", \"GBP audit\", \"review velocity\", \"competitor radius\", \"maps analysis\", \"local rank tracking\", \"Share of Local Voice\", or \"SoLV\".\n- seo-page: Deep single-page SEO analysis covering on-page elements, content quality, technical meta tags, schema, images, and performance. Use when user says \"analyze this page\", \"check page SEO\", \"single URL\", \"check this page\", \"page analysis\", or provides a single URL for review.\n- seo-plan: Strategic SEO planning for new or existing websites. Industry-specific templates, competitive analysis, content strategy, and implementation roadmap. Use when user says \"SEO plan\", \"SEO strategy\", \"SEO planning\", \"content strategy\", \"keyword strategy\", \"content calendar\", \"site architecture\", or \"SEO roadmap\".\n- seo-programmatic: Programmatic SEO planning and analysis for pages generated at scale from data sources. Covers template engines, URL patterns, internal linking automation, thin content safeguards, and index bloat prevention. Use when user says \"programmatic SEO\", \"pages at scale\", \"dynamic pages\", \"template pages\", \"generated pages\", or \"data-driven SEO\".\n- seo-schema: Detect, validate, and generate Schema.org structured data. JSON-LD format preferred. Use when user says \"schema\", \"structured data\", \"rich results\", \"JSON-LD\", or \"markup\".\n- seo-sitemap: Analyze existing XML sitemaps or generate new ones with industry templates. Validates format, URLs, and structure. Use when user says \"sitemap\", \"generate sitemap\", \"sitemap issues\", or \"XML sitemap\".\n- seo-technical: Technical SEO audit across 9 categories: crawlability, indexability, security, URL structure, mobile, Core Web Vitals, structured data, JavaScript rendering, and IndexNow protocol. Use when user says \"technical SEO\", \"crawl issues\", \"robots.txt\", \"Core Web Vitals\", \"site speed\", or \"security headers\".\n- shape: Plan the UX and UI for a feature before writing code. Runs a structured discovery interview, then produces a design brief that guides implementation. Use during the planning phase to establish design direction, constraints, and strategy before any code is written.\n- stitch-design-taste: Semantic Design System Skill for Google Stitch. Generates agent-friendly DESIGN.md files that enforce premium, anti-generic UI standards — strict typography, calibrated color, asymmetric layouts, perpetual micro-motion, and hardware-accelerated performance.\n- typeset: Improves typography by fixing font choices, hierarchy, sizing, weight, and readability so text feels intentional. Use when the user mentions fonts, type, readability, text hierarchy, sizing looks off, or wants more polished, intentional typography.\n- handoff: Cree ou met a jour HANDOFF.md pour passer le relais a l'agent suivant\n- deep-research: Deep research harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. - When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., \"what car to buy\" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.\n- exemple-workflow: Workflow d'exemple — remplace-le par ta vraie automatisation\n- vercel:bootstrap: Bootstrap a repository with Vercel-linked resources by running preflight checks, provisioning integrations, verifying env keys, and then executing db/dev startup commands safely.\n- vercel:deploy: Deploy the current project to Vercel. Pass \"prod\" or \"production\" as argument to deploy to production. Default is preview deployment.\n- vercel:env: Manage Vercel environment variables. Commands include list, pull, add, remove, and diff. Use to sync environment variables between Vercel and your local development environment.\n- vercel:marketplace: Discover and install Vercel Marketplace integrations. Use to find databases, CMS, auth providers, and other services available on the Vercel Marketplace.\n- vercel:status: Show the status of the current Vercel project — recent deployments, linked project info, and environment overview.\n- vercel:ai-gateway: Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.\n- vercel:ai-sdk: Vercel AI SDK expert guidance. Use when building AI-powered features — chat interfaces, text generation, structured output, tool calling, agents, MCP integration, streaming, embeddings, reranking, image generation, or working with any LLM provider.\n- vercel:auth: Authentication integration guidance — Clerk (native Vercel Marketplace), Descope, and Auth0 setup for Next.js applications. Covers middleware auth patterns, sign-in/sign-up flows, and Marketplace provisioning. Use when implementing user authentication.\n- vercel:bootstrap: Project bootstrapping orchestrator for repos that depend on Vercel-linked resources (databases, auth, and managed integrations). Use when setting up or repairing a repository so linking, environment provisioning, env pulls, and first-run db/dev commands happen in the correct safe order.\n- vercel:chat-sdk: Vercel Chat SDK expert guidance. Use when building multi-platform chat bots — Slack, Telegram, Microsoft Teams, Discord, Google Chat, GitHub, Linear — with a single codebase. Covers the Chat class, adapters, threads, messages, cards, modals, streaming, state management, and webhook setup.\n- vercel:deployments-cicd: Vercel deployment and CI/CD expert guidance. Use when deploying, promoting, rolling back, inspecting deployments, building with --prebuilt, or configuring CI workflow files for Vercel.\n- vercel:env-vars\n- vercel:knowledge-update: Corrects outdated LLM knowledge about the Vercel platform and introduces new products. Injected at session start.\n- vercel:marketplace\n- vercel:next-cache-components\n- vercel:next-forge\n- vercel:next-upgrade\n- vercel:nextjs\n- vercel:react-best-practices\n- vercel:routing-middleware\n- vercel:runtime-cache\n- vercel:shadcn\n- vercel:turbopack\n- vercel:vercel-agent\n- vercel:vercel-cli\n- vercel:vercel-firewall\n- vercel:vercel-functions\n- vercel:vercel-sandbox\n- vercel:vercel-storage\n- vercel:verification\n- vercel:workflow\n- update-config: Use this skill to configure the Claude Code harness via settings.json. Automated behaviors (\"from now on when X\", \"each time X\", \"whenever X\", \"before/after X\") require hooks configured in settings.json - the harness executes these, not Claude, so memory/preferences cannot fulfill them. Also use for: permissions (\"allow X\", \"add permission\", \"move permission to\"), env vars (\"set X=Y\"), hook troubleshooting, or any changes to settings.json/settings.local.json files. Examples: \"allow npm commands\", \"add bq permission to global settings\", \"move permission to user settings\", \"set DEBUG=true\", \"when claude stops show X\". For simple settings like theme/model, suggest the /config command.\n- keybindings-help: Use when the user wants to customize keyboard shortcuts, rebind keys, add chord bindings, or modify ~/.claude/keybindings.json. Examples: \"rebind ctrl+s\", \"add a chord shortcut\", \"change the submit key\", \"customize keybindings\".\n- verify: Verify that a code change actually does what it's supposed to by running the app and observing behavior. Use when asked to verify a PR, confirm a fix works, test a change manually, check that a feature works, or validate local changes before pushing.\n- code-review: Review the current diff for correctness bugs and reuse/simplification/efficiency cleanups at the given effort level (low/medium: fewer, high-confidence findings; high→max: broader coverage, may include uncertain findings; ultra: deep multi-agent review in the cloud). Pass --comment to post findings as inline PR comments, or --fix to apply the findings to the working tree after the review.\n- simplify: Review the changed code for reuse, simplification, efficiency, and altitude cleanups, then apply the fixes. Quality only — it does not hunt for bugs; use /code-review for that.\n- fewer-permission-prompts: Scan your transcripts for common read-only Bash and MCP tool calls, then add a prioritized allowlist to project .claude/settings.json to reduce permission prompts.\n- loop: Run a prompt or slash command on a recurring interval (e.g. /loop 5m /foo). Omit the interval to let the model self-pace. - When the user wants to set up a recurring task, poll for status, or run something repeatedly on an interval (e.g. \"check the deploy every 5 minutes\", \"keep running /babysit-prs\"). Do NOT invoke for one-off tasks.\n- schedule: Create, update, list, or run scheduled remote agents (routines) that execute on a cron schedule. - When the user wants to schedule a recurring remote agent, set up automated tasks, create a cron job for Claude Code, or manage their scheduled agents/routines. Also use when the user wants a one-time scheduled run (\"run this once at 3pm\", \"remind me to check X tomorrow\").\n- claude-api: Build, debug, and optimize Claude API / Anthropic SDK apps. Apps built with this skill should include prompt caching. Also handles migrating existing Claude API code between Claude model versions (4.5 → 4.6, 4.6 → 4.7, retired-model replacements).\nTRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`; user asks for the Claude API, Anthropic SDK, or Managed Agents; user adds/modifies/tunes a Claude feature (caching, thinking, compaction, tool use, batch, files, citations, memory) or model (Opus/Sonnet/Haiku) in a file; questions about prompt caching / cache hit rate in an Anthropic SDK project.\nSKIP: file imports `openai`/other-provider SDK, filename like `*-openai.py`/`*-generic.py`, provider-neutral code, general programming/ML.\n- run: Launch and drive this project's app to see a change working. Use when asked to run, start, or screenshot the app, or to confirm a change works in the real app (not just tests). First looks for a project skill that already covers launching the app; otherwise falls back to built-in patterns per project type (CLI, server, TUI, Electron, browser-driven, library).\n- init\n- review: Review a pull request\n- security-review","skillCount":111,"isInitial":true,"names":["adapt","animate","arrange","audit","bolder","bun-to-next","cinik-blog-brief","cinik-translator","clarify","colorize","critique","delight","design-taste-frontend","distill","extract","feedbackpin","full-output-enforcement","gsap-core","gsap-frameworks","gsap-performance","gsap-plugins","gsap-react","gsap-scrolltrigger","gsap-timeline","gsap-utils","harden","high-end-visual-design","impeccable","industrial-brutalist-ui","minimalist-ui","netlify-cli","nextjs-wordpress-headless","normalize","onboard","optimize","overdrive","paf-site-magic","polish","quieter","redesign-existing-projects","refero-design","seo","seo-audit","seo-backlinks","seo-competitor-pages","seo-content","seo-dataforseo","seo-firecrawl","seo-geo","seo-google","seo-hreflang","seo-image-gen","seo-images","seo-local","seo-maps","seo-page","seo-plan","seo-programmatic","seo-schema","seo-sitemap","seo-technical","shape","stitch-design-taste","typeset","handoff","deep-research","exemple-workflow","vercel:bootstrap","vercel:deploy","vercel:env","vercel:marketplace","vercel:status","vercel:ai-gateway","vercel:ai-sdk","vercel:auth","vercel:bootstrap","vercel:chat-sdk","vercel:deployments-cicd","vercel:env-vars","vercel:knowledge-update","vercel:marketplace","vercel:next-cache-components","vercel:next-forge","vercel:next-upgrade","vercel:nextjs","vercel:react-best-practices","vercel:routing-middleware","vercel:runtime-cache","vercel:shadcn","vercel:turbopack","vercel:vercel-agent","vercel:vercel-cli","vercel:vercel-firewall","vercel:vercel-functions","vercel:vercel-sandbox","vercel:vercel-storage","vercel:verification","vercel:workflow","update-config","keybindings-help","verify","code-review","simplify","fewer-permission-prompts","loop","schedule","claude-api","run","init","review","security-review"]},"type":"attachment","uuid":"bee97d9f-1a30-41f0-a6af-df915b4a8293","timestamp":"2026-05-31T21:54:41.114Z","userType":"external","entrypoint":"cli","cwd":"/opt/automator/cinik-writer-transtor/files","sessionId":"e5b0d32c-b7e6-4f5d-830a-2c1bb8398957","version":"2.1.158","gitBranch":"HEAD"}
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{"parentUuid":"4195f82b-f88b-4965-a7e0-dc142eddf251","isSidechain":true,"promptId":"6d4ed893-e47c-4cdd-a10d-92956d6385fe","agentId":"ad47df8347739dd51","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WRguWpECQXcmbfmH4ErLJd","type":"tool_result","content":"1\t# Consigne de révision + SEO (pour les réviseurs)\n2\t\n3\tTu révises UN article déjà rédigé pour le blog du Dr Emrah Cinik. Deux missions :\n4\t\n5\t## 1. Améliorer la fluidité et la qualité\n6\t- Lis l'article en entier. Repère les passages qui sonnent \"IA\", listes mécaniques, transitions plates, répétitions, paragraphes monotones.\n7\t- Réécris pour un rythme plus naturel : alterne phrases courtes qui claquent et phrases plus longues, fragments assumés, apartés conversationnels, métaphores vives. Ton Body Expert + Cinik (direct, \"vous\", \"ça\", affirmatif, chaleureux, vulgarisé).\n8\t- Améliore les accroches de section, fluidifie les enchaînements, supprime les tournures robotiques.\n9\t- Garde le fond INTACT : ne touche pas aux données chiffrées, aux sources, aux références APA, ni aux liens internes markdown (mêmes URLs, mêmes ancres ou ancres améliorées si plus naturelles). N'invente AUCUNE donnée ni source.\n10\t\n11\t## 2. Ajouter le bloc SEO en tête\n12\tAvant le H1, insère exactement ce bloc (puis une ligne `---`, puis le H1) :\n13\t\n14\t```\n15\t**Slug** : /slug-optimise\n16\t**Title SEO** : Titre accrocheur | Dr Cinik\n17\t**Meta description** : Phrase descriptive avec le mot-clé et une promesse.\n18\t\n19\t---\n20\t```\n21\t\n22\tRègles SEO :\n23\t- **Slug** : court, en minuscules, mots-clés, tirets. Sans /fr/ ni domaine. Ex : `/pp405-molecule-follicules` (ou simplement le mot-clé en slug propre).\n24\t- **Title SEO** : 60 caractères MAX (espaces inclus), mot-clé en début, finit par ` | Dr Cinik`.\n25\t- **Meta description** : 150-155 caractères MAX, inclut le mot-clé principal + une promesse éditoriale, donne envie de cliquer.\n26\t\n27\t## Règles de format absolues (inchangées)\n28\t- ZÉRO em dash (—) ni en dash (–). Vérifie avant de finir.\n29\t- Titres sans majuscule à chaque mot. Nombres sans séparateur de milliers. Gras avec parcimonie. Jamais de prix.\n30\t- Le fichier final = bloc SEO, puis `---`, puis `# H1`, puis l'article révisé (avec ses sections, Références scientifiques, tableau Liens internes recommandés conservés).\n31\t- Pas de front-matter YAML.\n32\t"}]},"uuid":"2266e26d-98ea-4bcd-97ed-37b14e48d55f","timestamp":"2026-05-31T21:54:44.555Z","sourceToolAssistantUUID":"4195f82b-f88b-4965-a7e0-dc142eddf251","userType":"external","entrypoint":"cli","cwd":"/opt/automator/cinik-writer-transtor/files","sessionId":"e5b0d32c-b7e6-4f5d-830a-2c1bb8398957","version":"2.1.158","gitBranch":"HEAD"}
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{"parentUuid":"5ec23e58-4c0b-43e1-bb12-a2a32441c95b","isSidechain":true,"promptId":"6d4ed893-e47c-4cdd-a10d-92956d6385fe","agentId":"ad47df8347739dd51","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01ESKpmdKfirEzjAhDbEgk15","type":"tool_result","content":"1\t# Intelligence artificielle et greffe de cheveux : ce qui change déjà\n2\t\n3\tUn modèle d'apprentissage profond entraîné sur des images de cuir chevelu a atteint une précision de 95,44 pour cent pour repérer automatiquement les follicules sur une image de trichoscopie (Gao et al., 2022). Ce chiffre résume bien la situation actuelle : l'intelligence artificielle n'est plus une promesse lointaine dans le domaine capillaire, elle est déjà au travail pour analyser un cuir chevelu plus vite, et parfois plus finement, que l'oeil humain seul.\n4\t\n5\tPourtant, entre les annonces marketing et la réalité clinique, la distance reste grande. Un robot ne remplace pas un chirurgien. Une simulation de résultat n'est pas une garantie. Cet article fait le point, données scientifiques à l'appui, sur ce que l'IA apporte vraiment au [diagnostic capillaire](https://emrahcinik.com/fr/dictionnaire/), à la [planification d'une greffe de cheveux](https://emrahcinik.com/fr/greffe-de-cheveux-le-guide-ultime/) et à l'assistance robotisée du geste opératoire. Vous comprendrez où la technologie aide réellement, et où elle atteint ses limites.\n6\t\n7\t## L'IA dans le diagnostic capillaire\n8\t\n9\tC'est là que l'intelligence artificielle a le plus progressé. Avant toute intervention, il faut mesurer précisément l'état du cuir chevelu : combien de cheveux par centimètre carré, quel diamètre, quelle proportion de cheveux miniaturisés. Cette évaluation conditionne toute la suite.\n10\t\n11\t### L'analyse automatisée de la densité\n12\t\n13\tLa mesure de la densité reposait traditionnellement sur le phototrichogramme, une méthode fiable mais lente, où chaque cheveu est compté à la main sur une image agrandie. L'IA change la donne. Des chercheurs ont développé un système fondé sur des réseaux de neurones profonds capable de mesurer automatiquement la densité capillaire à partir d'images du cuir chevelu, avec des résultats proches du comptage manuel de référence (Kim et al., 2022).\n14\t\n15\tConcrètement, une analyse qui prenait de longues minutes peut désormais être obtenue en quelques secondes, avec une reproductibilité que l'évaluation visuelle ne garantit pas. Pour vous, patient, ça se traduit par un bilan plus objectif de votre [chute de cheveux](https://emrahcinik.com/fr/traitement-chute-cheveux-efficaces/) et un suivi chiffré dans le temps. Plutôt que d'entendre \"vous avez perdu pas mal de cheveux\", vous obtenez une mesure que l'on peut comparer six mois plus tard.\n16\t\n17\t### Le classement des types de chute\n18\t\n19\tL'IA ne se contente pas de compter. Elle apprend aussi à reconnaître. Le système d'analyse trichoscopique évoqué plus haut, entraîné sur 2910 images, repère les follicules avec une précision de 95,44 pour cent, puis alimente un modèle qui prédit le stade de l'[alopécie androgénétique](https://emrahcinik.com/fr/alopecie-androgenetique/) chez l'homme avec une exactitude proche de 90 pour cent (Gao et al., 2022). Distinguer une alopécie androgénétique d'une autre cause de chute oriente directement la stratégie de traitement, donc ce gain de précision compte.\n20\t\n21\tLa revue de référence sur le sujet le confirme : les applications d'IA en restauration capillaire incluent déjà des systèmes automatisés de détection du cheveu, de mesure de la pousse et de [diagnostic du cuir chevelu](https://emrahcinik.com/fr/follicules-pileux/), y compris des outils d'autodiagnostic (Gupta et al., 2021). Les auteurs insistent toutefois sur un point essentiel : les spécialistes doivent connaître autant les bénéfices que les limites de ces technologies. Autrement dit, un bon score sur un jeu de données ne garantit pas la même performance dans la vraie vie.\n22\t\n23\t## La simulation de résultat : entre aide et illusion\n24\t\n25\tBeaucoup de cliniques proposent aujourd'hui une simulation visuelle du résultat attendu. Ces outils, parfois présentés comme propulsés par l'IA, génèrent une image de votre visage avec une ligne frontale redessinée et une densité reconstituée.\n26\t\n27\tCes simulations ont une vraie utilité pédagogique. Elles aident à dialoguer, à poser des attentes, à visualiser le projet avant de s'engager. Mais soyons francs : c'est une projection esthétique, pas une prédiction médicale. Le rendu final dépend de votre [zone donneuse](https://emrahcinik.com/fr/zone-donneuse-greffe-de-cheveux/), de la survie des greffons, de la qualité du cheveu et de la cicatrisation. Aucune image de synthèse ne peut garantir ces paramètres à l'avance.\n28\t\n29\tLa règle est simple. Une simulation séduisante n'a de valeur que si elle s'appuie sur un examen clinique réel et sur un [nombre de greffons](https://emrahcinik.com/fr/nombre-de-greffons/) honnêtement estimé. Méfiez-vous d'un rendu trop parfait qui promet une densité supérieure à ce que votre cuir chevelu peut fournir.\n30\t\n31\t## Les robots et l'assistance au geste : le cas ARTAS\n32\t\n33\tLe système [ARTAS](https://emrahcinik.com/fr/greffe-de-cheveux-artas/) est l'exemple le plus connu de robotique appliquée à la greffe. Il utilise une robotique guidée par l'image pour repérer et prélever les unités folliculaires. Des caméras numériques scannent le cuir chevelu, et des algorithmes analysent l'angle, la densité et l'orientation de chaque cheveu avant le prélèvement (Rose & Nusbaum, 2014).\n34\t\n35\t### Ce que le robot fait bien\n36\t\n37\tL'intérêt principal de l'assistance robotisée, c'est la régularité. Les travaux d'Avram et Watkins, qui ont mesuré le taux de section d'un dispositif de FUE robotisée, ont contribué à établir que le robot pouvait atteindre des taux de section comparables à ceux d'un opérateur expérimenté (Avram & Watkins, 2014). En [technique de prélèvement](https://emrahcinik.com/fr/greffe-de-cheveux-fue-manuelle/) manuelle, ce taux dépend beaucoup de l'expérience et de la fatigue de l'opérateur. Le robot apporte une constance que l'humain ne peut pas tenir sur plusieurs heures d'affilée.\n38\t\n39\tUne étude comparative récente a opposé, chez 13 hommes, le robot d'un côté de la zone donneuse et la [FUE](https://emrahcinik.com/fr/greffe-de-cheveux/fue/) manuelle de l'autre. Résultat : un taux de section très proche entre les deux méthodes, 13,17 pour cent côté robot contre 13,96 pour cent côté FUE manuelle, sans différence significative ni complication (Zhu et al., 2024). Le geste robotisé tient donc la comparaison.\n40\t\n41\t### Ce que le robot ne fait pas\n42\t\n43\tIl faut rester lucide. Dans cette même étude, le rendement utile était un peu plus faible côté robot (82,05 pour cent contre 90,03 pour cent) et le taux de greffons écartés plus élevé (10,71 pour cent contre 5,46 pour cent) (Zhu et al., 2024). Le robot n'est pas magique.\n44\t\n45\tSurtout, il assiste l'extraction, mais il n'assure ni la création des sites receveurs, ni l'implantation, ni le dessin de la ligne frontale, qui restent des actes profondément artistiques. La [technique DHI](https://emrahcinik.com/fr/greffe-de-cheveux/dhi/), qui implante directement au stylo Choi avec un contrôle fin de la profondeur et de l'angle, repose entièrement sur la main et l'oeil du praticien. Idem pour la [greffe FUE saphir](https://emrahcinik.com/fr/greffe-de-cheveux/sapphire-fue/), dont la finesse des incisions dépend du chirurgien. Le robot est un outil au service du médecin, jamais son remplaçant.\n46\t\n47\t## Planification de greffe et IA\n48\t\n49\tAu-delà de l'extraction, l'IA commence à intervenir dans la planification. En croisant la densité donneuse mesurée automatiquement, la surface à couvrir et la projection de l'évolution de la calvitie, certains logiciels aident à estimer les besoins en greffons et à répartir intelligemment la densité sur la zone receveuse.\n50\t\n51\tCette aide à la décision reste un appui, pas un verdict. Une bonne planification intègre des éléments qu'aucun algorithme ne maîtrise totalement aujourd'hui : l'évolution future de votre chute selon l'[échelle de Norwood-Hamilton](https://emrahcinik.com/fr/norwood-hamilton/), vos attentes esthétiques, votre âge, votre mode de vie. C'est pourquoi le [choix d'une clinique sérieuse](https://emrahcinik.com/fr/la-clinique/) et l'avis d'un médecin restent irremplaçables, même quand des outils d'IA viennent les enrichir.\n52\t\n53\t## Réalité contre marketing\n54\t\n55\tLe terme intelligence artificielle est devenu un argument commercial. Il faut savoir distinguer l'usage réel de l'effet d'annonce.\n56\t\n57\tL'IA est solidement utile pour le comptage et la mesure objective du cheveu (Kim et al., 2022). Elle progresse vite pour le classement des alopécies (Gao et al., 2022). Elle apporte de la constance, sous forme robotisée, à la phase d'extraction (Zhu et al., 2024).\n58\t\n59\tEn revanche, parler d'une greffe entièrement réalisée par IA, ou d'un résultat garanti par algorithme, relève du marketing. La littérature de synthèse converge sur la prudence : ces technologies sont prometteuses mais doivent être comprises avec leurs limites (Gupta et al., 2021). La technologie augmente le praticien, elle ne le supprime pas.\n60\t\n61\t## Considérations pratiques\n62\t\n63\tSi l'on vous parle d'intelligence artificielle au moment d'envisager une greffe, voici les bons réflexes.\n64\t\n65\tDemandez ce que l'IA fait précisément : diagnostic, comptage, simulation ou assistance robotisée. Ce sont des usages très différents. Vérifiez qu'un examen clinique humain accompagne toujours l'analyse automatisée. Considérez une simulation comme un outil de dialogue, pas comme un engagement de résultat. Posez des questions sur votre zone donneuse et sa capacité réelle, car aucune technologie ne crée des cheveux à partir de rien. Et renseignez-vous sur l'expérience du chirurgien : c'est elle qui détermine le dessin, l'implantation et le rendu naturel.\n66\t\n67\tQue la chute concerne un homme ou qu'il s'agisse d'une [greffe de cheveux chez la femme](https://emrahcinik.com/fr/greffe-de-cheveux/pour-femmes/), le principe reste le même. La technologie éclaire la décision, elle ne la remplace pas. Pour vous faire une idée concrète, rien ne vaut une galerie [avant après](https://emrahcinik.com/fr/avant-apres/) de cas réels.\n68\t\n69\t## L'approche de la clinique Cinik\n70\t\n71\tChez le [Dr Emrah Cinik](https://emrahcinik.com/fr/dr-cinik/), les outils d'analyse modernes viennent appuyer un diagnostic médical rigoureux, jamais l'inverse. L'évaluation objective de la densité et la cartographie du cuir chevelu nourrissent une planification personnalisée, mais c'est le regard du chirurgien qui dessine la ligne frontale et décide de la répartition des greffons.\n72\t\n73\tLe geste opératoire, qu'il s'agisse de [FUE](https://emrahcinik.com/fr/greffe-de-cheveux/fue/), de [DHI](https://emrahcinik.com/fr/greffe-de-cheveux/dhi/) ou de [saphir](https://emrahcinik.com/fr/greffe-de-cheveux/sapphire-fue/), reste un acte humain, complété par un [suivi de la repousse](https://emrahcinik.com/fr/evolution/) attentif et, si besoin, par des traitements complémentaires comme le [PRP](https://emrahcinik.com/fr/medecine-capillaire/prp/) ou la [mésothérapie capillaire](https://emrahcinik.com/fr/quest-ce-que-la-mesotherapie/). Beaucoup de patients viennent de toute la France pour ce type d'accompagnement. La consultation est gratuite, et ça permet d'y voir plus clair avant de décider quoi que ce soit. N'hésitez pas à comparer les [techniques de greffe](https://emrahcinik.com/fr/technique-greffe-de-cheveux/) disponibles pour choisir en connaissance de cause.\n74\t\n75\t## Références scientifiques\n76\t\n77\tAvram, M. R., & Watkins, S. A. (2014). Robotic follicular unit extraction in hair transplantation. *Dermatologic Surgery, 40*(12), 1319-1327. https://doi.org/10.1097/DSS.0000000000000191\n78\t\n79\tGao, M., Wang, Y., Xu, H., Xu, C., Yang, X., Nie, J., Zhang, Z., Li, Z., Hou, W., & Jiang, Y. (2022). Deep learning-based trichoscopic image analysis and quantitative model for predicting basic and specific classification in male androgenetic alopecia. *Acta Dermato-Venereologica, 102*, adv00635. https://doi.org/10.2340/actadv.v101.564\n80\t\n81\tGupta, A. K., Ivanova, I. A., & Renaud, H. J. (2021). How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders. *Dermatologic Therapy, 34*(2), e14811. https://doi.org/10.1111/dth.14811\n82\t\n83\tKim, M., Kang, S., & Lee, B. D. (2022). Evaluation of automated measurement of hair density using deep neural networks. *Sensors, 22*(2), 650. https://doi.org/10.3390/s22020650\n84\t\n85\tRose, P. T., & Nusbaum, B. (2014). Robotic hair restoration. *Dermatologic Clinics, 32*(1), 97-107. https://doi.org/10.1016/j.det.2013.09.008\n86\t\n87\tZhu, Y., Yang, K., Lin, J. M., Ni, C., Zhang, Y., Li, Z., Liu, Q., Zhou, Y., Lin, J., & Wu, W. (2024). A comparative study on the application of robotic hair restoration technology versus traditional follicular unit excision in male androgenetic alopecia. *Journal of Cosmetic Dermatology, 23*(12), 4213-4222. https://doi.org/10.1111/jocd.16554\n88\t\n89\t## Liens internes recommandés\n90\t\n91\t| Ancre | URL |\n92\t|-------|-----|\n93\t| diagnostic capillaire (dictionnaire) | https://emrahcinik.com/fr/dictionnaire/ |\n94\t| guide greffe de cheveux | https://emrahcinik.com/fr/greffe-de-cheveux-le-guide-ultime/ |\n95\t| traitement chute de cheveux | https://emrahcinik.com/fr/traitement-chute-cheveux-efficaces/ |\n96\t| alopécie androgénétique | https://emrahcinik.com/fr/alopecie-androgenetique/ |\n97\t| follicules pileux | https://emrahcinik.com/fr/follicules-pileux/ |\n98\t| zone donneuse | https://emrahcinik.com/fr/zone-donneuse-greffe-de-cheveux/ |\n99\t| nombre de greffons | https://emrahcinik.com/fr/nombre-de-greffons/ |\n100\t| greffe de cheveux ARTAS | https://emrahcinik.com/fr/greffe-de-cheveux-artas/ |\n101\t| FUE manuelle | https://emrahcinik.com/fr/greffe-de-cheveux-fue-manuelle/ |\n102\t| greffe de cheveux FUE | https://emrahcinik.com/fr/greffe-de-cheveux/fue/ |\n103\t| technique DHI | https://emrahcinik.com/fr/greffe-de-cheveux/dhi/ |\n104\t| FUE saphir | https://emrahcinik.com/fr/greffe-de-cheveux/sapphire-fue/ |\n105\t| échelle de Norwood-Hamilton | https://emrahcinik.com/fr/norwood-hamilton/ |\n106\t| la clinique | https://emrahcinik.com/fr/la-clinique/ |\n107\t| greffe de cheveux femme | https://emrahcinik.com/fr/greffe-de-cheveux/pour-femmes/ |\n108\t| avant après | https://emrahcinik.com/fr/avant-apres/ |\n109\t| Dr Cinik | https://emrahcinik.com/fr/dr-cinik/ |\n110\t| évolution de la repousse | https://emrahcinik.com/fr/evolution/ |\n111\t| PRP | https://emrahcinik.com/fr/medecine-capillaire/prp/ |\n112\t| mésothérapie capillaire | https://emrahcinik.com/fr/quest-ce-que-la-mesotherapie/ |\n113\t| techniques de greffe | https://emrahcinik.com/fr/technique-greffe-de-cheveux/ |\n114\t"}]},"uuid":"66d68c49-b616-478d-9008-e84cd3b9826d","timestamp":"2026-05-31T21:54:45.070Z","sourceToolAssistantUUID":"5ec23e58-4c0b-43e1-bb12-a2a32441c95b","userType":"external","entrypoint":"cli","cwd":"/opt/automator/cinik-writer-transtor/files","sessionId":"e5b0d32c-b7e6-4f5d-830a-2c1bb8398957","version":"2.1.158","gitBranch":"HEAD"}
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{"parentUuid":"bb3363d6-579e-4b93-97f8-5cc9fc21a0c4","isSidechain":true,"agentId":"ad47df8347739dd51","message":{"model":"claude-opus-4-8","id":"msg_01EdHWL12Pzsx4d5thXLL59e","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01W5e7RHyzdhQDGFFm8U6UhL","name":"Write","input":{"file_path":"/opt/automator/cinik-writer-transtor/files/articles/ia-greffe-de-cheveux.md","content":"**Slug** : /ia-greffe-de-cheveux\n**Title SEO** : IA et greffe de cheveux : ce que ça change | Dr Cinik\n**Meta description** : IA greffe de cheveux : diagnostic, robots ARTAS, simulations. Ce que la techno change vraiment, et où le chirurgien reste irremplaçable.\n\n---\n\n# Intelligence artificielle et greffe de cheveux : ce qui change déjà\n\n95,44 pour cent. C'est la précision atteinte par un modèle d'apprentissage profond, entraîné sur des images de cuir chevelu, pour repérer tout seul les follicules sur une image de trichoscopie (Gao et al., 2022). Ce chiffre dit l'essentiel : l'intelligence artificielle n'est plus une promesse lointaine dans le monde capillaire. Elle est déjà au travail. Elle analyse un cuir chevelu plus vite, et parfois plus finement, que l'oeil humain seul.\n\nEt pourtant, entre les annonces marketing et la réalité d'un bloc opératoire, le fossé reste large. Un robot ne remplace pas un chirurgien. Une simulation de résultat n'est pas une garantie. Cet article fait le point, données scientifiques à l'appui, sur ce que l'IA apporte vraiment au [diagnostic capillaire](https://emrahcinik.com/fr/dictionnaire/), à la [planification d'une greffe de cheveux](https://emrahcinik.com/fr/greffe-de-cheveux-le-guide-ultime/) et à l'assistance robotisée du geste opératoire. Où la technologie aide pour de bon, et où elle bute sur ses limites : vous allez voir, c'est plus nuancé que ce qu'on vous vend.\n\n## L'IA dans le diagnostic capillaire\n\nC'est là que l'intelligence artificielle a fait ses plus gros progrès. Avant toute intervention, il faut mesurer précisément l'état du cuir chevelu. Combien de cheveux par centimètre carré. Quel diamètre. Quelle proportion de cheveux miniaturisés. Cette évaluation conditionne tout le reste.\n\n### L'analyse automatisée de la densité\n\nPendant longtemps, la mesure de la densité reposait sur le phototrichogramme : une méthode fiable, mais lente, où chaque cheveu se compte à la main sur une image agrandie. L'IA rebat les cartes. Des chercheurs ont mis au point un système fondé sur des réseaux de neurones profonds, capable de mesurer automatiquement la densité capillaire à partir d'images du cuir chevelu, avec des résultats très proches du comptage manuel de référence (Kim et al., 2022).\n\nConcrètement ? Une analyse qui prenait de longues minutes se règle désormais en quelques secondes, avec une reproductibilité que l'évaluation à l'oeil ne vous offrira jamais. Pour vous, patient, ça veut dire un bilan plus objectif de votre [chute de cheveux](https://emrahcinik.com/fr/traitement-chute-cheveux-efficaces/) et un suivi chiffré dans le temps. Plutôt que d'entendre \"vous avez perdu pas mal de cheveux\", vous repartez avec une mesure. Une vraie. Que l'on pourra comparer six mois plus tard.\n\n### Le classement des types de chute\n\nL'IA ne se contente pas de compter. Elle apprend aussi à reconnaître. Le système d'analyse trichoscopique évoqué plus haut, entraîné sur 2910 images, repère les follicules avec une précision de 95,44 pour cent, puis alimente un modèle qui prédit le stade de l'[alopécie androgénétique](https://emrahcinik.com/fr/alopecie-androgenetique/) chez l'homme avec une exactitude proche de 90 pour cent (Gao et al., 2022). Or distinguer une alopécie androgénétique d'une autre cause de chute oriente directement la stratégie de traitement. Ce gain de précision pèse lourd.\n\nLa revue de référence sur le sujet le confirme : les applications d'IA en restauration capillaire incluent déjà des systèmes automatisés de détection du cheveu, de mesure de la pousse et de [diagnostic du cuir chevelu](https://emrahcinik.com/fr/follicules-pileux/), y compris des outils d'autodiagnostic (Gupta et al., 2021). Les auteurs posent quand même un garde-fou de taille : les spécialistes doivent connaître autant les bénéfices que les limites de ces technologies. Traduction : un bon score sur un jeu de données ne garantit pas la même performance dans la vraie vie.\n\n## La simulation de résultat : entre aide et illusion\n\nAujourd'hui, beaucoup de cliniques proposent une simulation visuelle du résultat attendu. Ces outils, souvent présentés comme propulsés par l'IA, génèrent une image de votre visage avec une ligne frontale redessinée et une densité reconstituée. Joli sur l'écran.\n\nEt utile, vraiment, sur le plan pédagogique. Ces simulations aident à dialoguer, à poser des attentes, à visualiser le projet avant de s'engager. Mais soyons francs : c'est une projection esthétique, pas une prédiction médicale. Le rendu final dépend de votre [zone donneuse](https://emrahcinik.com/fr/zone-donneuse-greffe-de-cheveux/), de la survie des greffons, de la qualité du cheveu, de la cicatrisation. Aucune image de synthèse ne peut garantir ces paramètres à l'avance.\n\nLa règle tient en une phrase. Une simulation séduisante ne vaut que si elle s'appuie sur un examen clinique réel et sur un [nombre de greffons](https://emrahcinik.com/fr/nombre-de-greffons/) estimé honnêtement. Méfiez-vous d'un rendu trop parfait, qui promet une densité supérieure à ce que votre cuir chevelu peut réellement fournir.\n\n## Les robots et l'assistance au geste : le cas ARTAS\n\nLe système [ARTAS](https://emrahcinik.com/fr/greffe-de-cheveux-artas/), c'est l'exemple le plus connu de robotique appliquée à la greffe. Il s'appuie sur une robotique guidée par l'image pour repérer et prélever les unités folliculaires. Des caméras numériques scannent le cuir chevelu, et des algorithmes analysent l'angle, la densité et l'orientation de chaque cheveu avant le prélèvement (Rose & Nusbaum, 2014).\n\n### Ce que le robot fait bien\n\nLe vrai atout de l'assistance robotisée, c'est la régularité. Les travaux d'Avram et Watkins, qui ont mesuré le taux de section d'un dispositif de FUE robotisée, ont contribué à montrer que le robot pouvait atteindre des taux de section comparables à ceux d'un opérateur expérimenté (Avram & Watkins, 2014). En [technique de prélèvement](https://emrahcinik.com/fr/greffe-de-cheveux-fue-manuelle/) manuelle, ce taux dépend beaucoup de l'expérience et, soyons honnêtes, de la fatigue de l'opérateur. Le robot, lui, apporte une constance qu'aucun humain ne tient sur plusieurs heures d'affilée.\n\nUne étude comparative récente a opposé, chez 13 hommes, le robot d'un côté de la zone donneuse et la [FUE](https://emrahcinik.com/fr/greffe-de-cheveux/fue/) manuelle de l'autre. Résultat : un taux de section très proche entre les deux méthodes, 13,17 pour cent côté robot contre 13,96 pour cent côté FUE manuelle, sans différence significative ni complication (Zhu et al., 2024). Le geste robotisé tient donc la comparaison.\n\n### Ce que le robot ne fait pas\n\nRestons lucides. Dans cette même étude, le rendement utile était un peu plus faible côté robot (82,05 pour cent contre 90,03 pour cent) et le taux de greffons écartés plus élevé (10,71 pour cent contre 5,46 pour cent) (Zhu et al., 2024). Le robot n'a rien de magique.\n\nEt surtout, il assiste l'extraction, point. Il n'assure ni la création des sites receveurs, ni l'implantation, ni le dessin de la ligne frontale, qui restent des gestes profondément artistiques. La [technique DHI](https://emrahcinik.com/fr/greffe-de-cheveux/dhi/), qui implante directement au stylo Choi avec un contrôle fin de la profondeur et de l'angle, repose entièrement sur la main et l'oeil du praticien. Pareil pour la [greffe FUE saphir](https://emrahcinik.com/fr/greffe-de-cheveux/sapphire-fue/), dont la finesse des incisions dépend du chirurgien. Le robot est un outil au service du médecin. Jamais son remplaçant.\n\n## Planification de greffe et IA\n\nAu-delà de l'extraction, l'IA commence à s'inviter dans la planification. En croisant la densité donneuse mesurée automatiquement, la surface à couvrir et la projection de l'évolution de la calvitie, certains logiciels aident à estimer les besoins en greffons et à répartir intelligemment la densité sur la zone receveuse.\n\nCette aide à la décision reste un appui, pas un verdict. Une bonne planification intègre des éléments qu'aucun algorithme ne maîtrise totalement aujourd'hui : l'évolution future de votre chute selon l'[échelle de Norwood-Hamilton](https://emrahcinik.com/fr/norwood-hamilton/), vos attentes esthétiques, votre âge, votre mode de vie. C'est pour ça que le [choix d'une clinique sérieuse](https://emrahcinik.com/fr/la-clinique/) et l'avis d'un médecin restent irremplaçables, même quand des outils d'IA viennent les enrichir.\n\n## Réalité contre marketing\n\nLe terme intelligence artificielle est devenu un argument de vente. Reste à séparer l'usage réel de l'effet d'annonce.\n\nL'IA est solidement utile pour le comptage et la mesure objective du cheveu (Kim et al., 2022). Elle progresse vite sur le classement des alopécies (Gao et al., 2022). Et sous forme robotisée, elle apporte de la constance à la phase d'extraction (Zhu et al., 2024). Jusque-là, tout va bien.\n\nEn revanche, parler d'une greffe entièrement réalisée par IA, ou d'un résultat garanti par algorithme, relève du pur marketing. La littérature de synthèse converge vers la prudence : ces technologies sont prometteuses, mais doivent être comprises avec leurs limites (Gupta et al., 2021). La technologie augmente le praticien. Elle ne le supprime pas.\n\n## Considérations pratiques\n\nSi l'on vous parle d'intelligence artificielle au moment d'envisager une greffe, voici les bons réflexes.\n\nDemandez ce que l'IA fait exactement : diagnostic, comptage, simulation ou assistance robotisée. Ce sont des usages très différents. Vérifiez qu'un examen clinique humain accompagne toujours l'analyse automatisée. Considérez une simulation comme un outil de dialogue, pas comme un engagement de résultat. Posez des questions sur votre zone donneuse et sa capacité réelle, parce qu'aucune technologie ne crée des cheveux à partir de rien. Et renseignez-vous sur l'expérience du chirurgien : c'est elle qui décide du dessin, de l'implantation et du rendu naturel.\n\nQue la chute concerne un homme ou qu'il s'agisse d'une [greffe de cheveux chez la femme](https://emrahcinik.com/fr/greffe-de-cheveux/pour-femmes/), le principe ne bouge pas. La technologie éclaire la décision, elle ne la prend pas à votre place. Et pour vous faire une idée concrète, rien ne vaut une galerie [avant après](https://emrahcinik.com/fr/avant-apres/) de cas réels.\n\n## L'approche de la clinique Cinik\n\nChez le [Dr Emrah Cinik](https://emrahcinik.com/fr/dr-cinik/), les outils d'analyse modernes viennent appuyer un diagnostic médical rigoureux, jamais l'inverse. L'évaluation objective de la densité et la cartographie du cuir chevelu nourrissent une planification personnalisée. Mais c'est le regard du chirurgien qui dessine la ligne frontale et décide de la répartition des greffons.\n\nLe geste opératoire, qu'il s'agisse de [FUE](https://emrahcinik.com/fr/greffe-de-cheveux/fue/), de [DHI](https://emrahcinik.com/fr/greffe-de-cheveux/dhi/) ou de [saphir](https://emrahcinik.com/fr/greffe-de-cheveux/sapphire-fue/), reste un acte humain. Complété par un [suivi de la repousse](https://emrahcinik.com/fr/evolution/) attentif et, si besoin, par des traitements complémentaires comme le [PRP](https://emrahcinik.com/fr/medecine-capillaire/prp/) ou la [mésothérapie capillaire](https://emrahcinik.com/fr/quest-ce-que-la-mesotherapie/). Beaucoup de patients viennent de toute la France pour ce type d'accompagnement. La consultation est gratuite, et ça permet d'y voir plus clair avant de décider quoi que ce soit. N'hésitez pas à comparer les [techniques de greffe](https://emrahcinik.com/fr/technique-greffe-de-cheveux/) disponibles pour choisir en connaissance de cause.\n\n## Références scientifiques\n\nAvram, M. R., & Watkins, S. A. (2014). Robotic follicular unit extraction in hair transplantation. *Dermatologic Surgery, 40*(12), 1319-1327. https://doi.org/10.1097/DSS.0000000000000191\n\nGao, M., Wang, Y., Xu, H., Xu, C., Yang, X., Nie, J., Zhang, Z., Li, Z., Hou, W., & Jiang, Y. (2022). Deep learning-based trichoscopic image analysis and quantitative model for predicting basic and specific classification in male androgenetic alopecia. *Acta Dermato-Venereologica, 102*, adv00635. https://doi.org/10.2340/actadv.v101.564\n\nGupta, A. K., Ivanova, I. A., & Renaud, H. J. (2021). How good is artificial intelligence (AI) at solving hairy problems? A review of AI applications in hair restoration and hair disorders. *Dermatologic Therapy, 34*(2), e14811. https://doi.org/10.1111/dth.14811\n\nKim, M., Kang, S., & Lee, B. D. (2022). Evaluation of automated measurement of hair density using deep neural networks. *Sensors, 22*(2), 650. https://doi.org/10.3390/s22020650\n\nRose, P. T., & Nusbaum, B. (2014). Robotic hair restoration. *Dermatologic Clinics, 32*(1), 97-107. https://doi.org/10.1016/j.det.2013.09.008\n\nZhu, Y., Yang, K., Lin, J. M., Ni, C., Zhang, Y., Li, Z., Liu, Q., Zhou, Y., Lin, J., & Wu, W. (2024). A comparative study on the application of robotic hair restoration technology versus traditional follicular unit excision in male androgenetic alopecia. *Journal of Cosmetic Dermatology, 23*(12), 4213-4222. https://doi.org/10.1111/jocd.16554\n\n## Liens internes recommandés\n\n| Ancre | URL |\n|-------|-----|\n| diagnostic capillaire (dictionnaire) | https://emrahcinik.com/fr/dictionnaire/ |\n| guide greffe de cheveux | https://emrahcinik.com/fr/greffe-de-cheveux-le-guide-ultime/ |\n| traitement chute de cheveux | https://emrahcinik.com/fr/traitement-chute-cheveux-efficaces/ |\n| alopécie androgénétique | https://emrahcinik.com/fr/alopecie-androgenetique/ |\n| follicules pileux | https://emrahcinik.com/fr/follicules-pileux/ |\n| zone donneuse | https://emrahcinik.com/fr/zone-donneuse-greffe-de-cheveux/ |\n| nombre de greffons | https://emrahcinik.com/fr/nombre-de-greffons/ |\n| greffe de cheveux ARTAS | https://emrahcinik.com/fr/greffe-de-cheveux-artas/ |\n| FUE manuelle | https://emrahcinik.com/fr/greffe-de-cheveux-fue-manuelle/ |\n| greffe de cheveux FUE | https://emrahcinik.com/fr/greffe-de-cheveux/fue/ |\n| technique DHI | https://emrahcinik.com/fr/greffe-de-cheveux/dhi/ |\n| FUE saphir | https://emrahcinik.com/fr/greffe-de-cheveux/sapphire-fue/ |\n| échelle de Norwood-Hamilton | https://emrahcinik.com/fr/norwood-hamilton/ |\n| la clinique | https://emrahcinik.com/fr/la-clinique/ |\n| greffe de cheveux femme | https://emrahcinik.com/fr/greffe-de-cheveux/pour-femmes/ |\n| avant après | https://emrahcinik.com/fr/avant-apres/ |\n| Dr Cinik | https://emrahcinik.com/fr/dr-cinik/ |\n| évolution de la repousse | https://emrahcinik.com/fr/evolution/ |\n| PRP | https://emrahcinik.com/fr/medecine-capillaire/prp/ |\n| mésothérapie capillaire | https://emrahcinik.com/fr/quest-ce-que-la-mesotherapie/ |\n| techniques de greffe | https://emrahcinik.com/fr/technique-greffe-de-cheveux/ |\n"},"caller":{"type":"direct"}}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1697,"cache_creation_input_tokens":30379,"cache_read_input_tokens":9529,"output_tokens":9140,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":30379},"inference_geo":"not_available","iterations":[{"input_tokens":1697,"output_tokens":9140,"cache_read_input_tokens":9529,"cache_creation_input_tokens":30379,"cache_creation":{"ephemeral_5m_input_tokens":30379,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbbPeU49Ly3Vmu8n8pKtv","attributionAgent":"general-purpose","type":"assistant","uuid":"28d87136-372f-4afc-b95c-7ac3c91c2ac3","timestamp":"2026-05-31T21:56:19.817Z","userType":"external","entrypoint":"cli","cwd":"/opt/automator/cinik-writer-transtor/files","sessionId":"e5b0d32c-b7e6-4f5d-830a-2c1bb8398957","version":"2.1.158","gitBranch":"HEAD"}
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{"parentUuid":"830d0a3a-f0f7-4297-8d00-7f8aa9e37107","isSidechain":true,"agentId":"ad47df8347739dd51","message":{"model":"claude-opus-4-8","id":"msg_01TtpKgg9PNCmxsvH8t7eatD","type":"message","role":"assistant","content":[{"type":"text","text":"Révision terminée. Article réécrit dans le même fichier avec bloc SEO en tête.\n\n- **Slug** : /ia-greffe-de-cheveux\n- **Title** : \"IA et greffe de cheveux : ce que ça change | Dr Cinik\" (53 caractères, finit bien par \" | Dr Cinik\")\n- **Meta** : \"IA greffe de cheveux : diagnostic, robots ARTAS, simulations. Ce que la techno change vraiment, et où le chirurgien reste irremplaçable.\" (136 caractères)\n- **Mots** (corps avant Références) : 1871\n- **Références APA** : 6 (Avram & Watkins, Gao, Gupta, Kim, Rose & Nusbaum, Zhu) — toutes conservées intégralement\n- **Liens internes markdown** : 24 dans le corps + tableau \"Liens internes recommandés\" (21 lignes) conservé tel quel\n\nVérifications: zéro em dash / en dash, apostrophes typographiques (') et accents corrects, aucune donnée chiffrée modifiée (95,44 / 90 / 2910 / 13 hommes / 13,17 / 13,96 / 82,05 / 90,03 / 10,71 / 5,46 pour cent), aucun prix, aucune source inventée. Ton Cinik renforcé : accroche chiffre en ouverture, phrases courtes qui claquent, apartés (\"Joli sur l'écran.\", \"Traduction :\", \"Jusque-là, tout va bien.\"), \"vous\"/\"ça\" maintenus."}],"stop_reason":"end_turn","stop_sequence":null,"stop_details":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":466,"cache_read_input_tokens":49851,"output_tokens":535,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":466},"inference_geo":"not_available","iterations":[{"input_tokens":2,"output_tokens":535,"cache_read_input_tokens":49851,"cache_creation_input_tokens":466,"cache_creation":{"ephemeral_5m_input_tokens":466,"ephemeral_1h_input_tokens":0},"type":"message"}],"speed":"standard"},"diagnostics":null},"requestId":"req_011CbbPngm6rtXwPGAgysvzA","attributionAgent":"general-purpose","type":"assistant","uuid":"ca1e9efb-9f1f-4116-8d4c-fbfd8cec59d0","timestamp":"2026-05-31T21:56:45.697Z","userType":"external","entrypoint":"cli","cwd":"/opt/automator/cinik-writer-transtor/files","sessionId":"e5b0d32c-b7e6-4f5d-830a-2c1bb8398957","version":"2.1.158","gitBranch":"HEAD"}