Procesamiento de CV con IA y Análisis de GitHub (Ejecución VLM)
Este es unAIflujo de automatización del dominio deautomatización que contiene 18 nodos.Utiliza principalmente nodos como If, Code, Gmail, Merge, Slack, combinando tecnología de inteligencia artificial para lograr automatización inteligente. Procesamiento de CV con IA y Análisis de GitHub (Ejecución VLM)
- •Cuenta de Google y credenciales de API de Gmail
- •Bot Token de Slack o URL de Webhook
- •Pueden requerirse credenciales de autenticación para la API de destino
- •Credenciales de API de Google Sheets
Nodos utilizados (18)
Categoría
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"id": "bdf7d44b-b13e-4bfc-bbb5-0fabe8abd40a",
"name": "Enviar Correo de Acuse de Recibo",
"type": "n8n-nodes-base.gmail",
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"subject": "Thanks for Your Interest"
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"content": "## 🔍 GitHub Intelligence Engine\n\n**Deep analysis of candidate's GitHub profile and repositories.**\n\n**Profile Analysis:**\n- Account age & experience\n- Follower/following metrics\n- Public repository count\n- Bio and company info\n\n**Repository Intelligence:**\n- Language distribution\n- Framework detection (30+)\n- Total stars & forks\n- Recent activity tracking\n\n**Technology Detection:**\n- Frontend: React, Vue, Angular\n- Backend: Express, Django, Flask\n- Mobile: React Native, Flutter\n- DevOps: Docker, AWS, Kubernetes\n\n**Smart Features:**\n- Handles missing profiles gracefully\n- Calculates experience automatically\n- Ranks technologies by usage\n- Identifies trending skills"
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"content": "## 🤖 AI Resume Analysis\n\n**VLM Run processes resumes to extract structured candidate data.**\n\n**Features:**\n- Contact information extraction\n- Skills identification\n- Experience parsing\n- Education details\n- Social profile detection\n\n**Advanced Extraction:**\n- Name, email, phone\n- GitHub & LinkedIn URLs\n- Work history\n- Technical skills\n- Certifications\n\n**Output:**\n- Structured JSON data\n- Normalized fields\n- Ready for analysis\n\n**Benefits:**\n- Eliminates manual data entry\n- Consistent formatting\n- Accurate extraction\n- Scalable processing"
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"content": "## 📧 Resume Intake Processing\n\n**Monitors Gmail for incoming resume submissions and automatically triggers processing.**\n\n**Process:**\n1. Watches inbox every minute\n2. Detects emails with attachments\n3. Auto-triggers on new resumes\n4. Downloads PDF attachments\n\n**Supported Formats:**\n- PDF resumes\n- DOC/DOCX files\n- Various layouts\n- Multi-page documents\n\n**Trigger Conditions:**\n- New email received\n- Contains attachments\n- Attachment download enabled\n- Real-time processing"
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"content": "## 📋 AI Resume Processing & GitHub Analysis\n\n**Overview:**\nAutomatically processes resumes received via email and generates comprehensive candidate profiles with AI-powered resume parsing and GitHub analysis.\n\n**Workflow:**\n1. 📧 Monitor Gmail for resume submissions\n2. 🤖 Parse resume with AI extraction\n3. 🔍 Analyze GitHub profile (if available)\n4. 📊 Create comprehensive candidate profile\n5. 💬 Notify team via Slack + save to Sheets\n6. ✉️ Send acknowledgment to candidate\n\n**Perfect for:**\n- HR departments\n- Technical recruiting\n- Talent acquisition teams\n- Startup hiring\n- Developer assessment\n\n**Requirements:**\n- VLM Run API access\n- Gmail OAuth2\n- Google Sheets access\n- Slack webhook\n- GitHub API (optional authentication)"
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"content": "## 📊 Multi-Channel Output\n\n**Delivers comprehensive candidate data across multiple platforms.**\n\n**Google Sheets Integration:**\n- Structured candidate database\n- 20+ data columns\n- Searchable & filterable\n- Historical tracking\n\n**Slack Notifications:**\n- Instant team alerts\n- Rich candidate summaries\n- GitHub profile highlights\n- Technology breakdown\n\n**Email Automation:**\n- Professional acknowledgments\n- Personalized messages\n- GitHub profile mentions\n- Builds candidate experience\n\n**Benefits:**\n- Centralized data storage\n- Real-time team updates\n- Professional communication\n- Streamlined hiring process"
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"LinkedIn URL": "={{ $json.contact_info.linkedin }}",
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"React Projects": "={{ $json.languageCount?.React || null }}",
"Python Projects": "={{ $json.languageCount?.Python || null }}",
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"GitHub Fork Count": "={{ $json.totalForks || null}}",
"GitHub Star Count": "={{ $json.totalStars || null }}",
"Github Repo Count": "={{ $json.public_repos || null }}",
"Javascript Projects": "={{ $json.languageCount?.JavaScript || null }}",
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}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - Inteligencia Artificial
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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Shahrear
@shahrearI’m Shahrear, a Software Engineer with over 5 years of experience in full-stack development and workflow automation. I specialize in building intelligent, scalable automations using n8n, helping teams streamline operations and boost productivity. I’m also an expert in developing custom n8n nodes, with published work on npm - including the @vlm-run/n8n-nodes-vlmrun package. https://github.com/vlm-run/n8n-nodes-vlmrun
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