{ "name": "Resume Optimizer", "nodes": [ { "parameters": { "httpMethod": "POST", "path": "resume-optimize", "responseMode": "responseNode", "options": {} }, "id": "ab23e6cf-6aed-44ae-b3e4-be3c1676f2d2", "name": "Webhook", "type": "n8n-nodes-base.webhook", "typeVersion": 2, "position": [ -480, 96 ], "webhookId": "resume-optimize", "onError": "continueRegularOutput" }, { "parameters": { "conditions": { "options": { "caseSensitive": true, "leftValue": "", "typeValidation": "strict", "version": 1 }, "conditions": [ { "id": "condition-vacancy", "leftValue": "={{ ($json.body.vacancyText || '').length >= 50 }}", "rightValue": true, "operator": { "type": "boolean", "operation": "equals" } } ], "combinator": "and" }, "options": {} }, "id": "a9b67c9c-700d-433f-8dd0-7256a26f481a", "name": "Validate Input", "type": "n8n-nodes-base.if", "typeVersion": 2, "position": [ -240, 96 ] }, { "parameters": { "respondWith": "json", "responseBody": "={\"error\": \"vacancyText is required and must be at least 50 characters\"}", "options": { "responseCode": 400 } }, "id": "c5586d8a-46a3-42d9-a788-5e0ac6a53894", "name": "Error Response", "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.5, "position": [ 0, 176 ] }, { "parameters": { "jsCode": "const body = $('Webhook').item.json.body;\nconst vacancyText = body.vacancyText || '';\nconst highlightsData = JSON.stringify(body.highlightsData || {}, null, 2);\n\nreturn [{\n json: {\n user_prompt: 'Generate an optimized resume JSON for this job posting.\\n\\nJOB POSTING:\\n' + vacancyText + '\\n\\nCANDIDATE CAREER DATA:\\n' + highlightsData\n }\n}];" }, "id": "9872dbc4-ca68-40fe-bbb1-191681bd1fdf", "name": "Prepare Prompt", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 0, 0 ] }, { "parameters": { "model": "openai/gpt-5.2", "options": { "temperature": 0.3, "timeout": 120000, "maxRetries": 2 } }, "id": "51a8965f-0629-41a0-aae6-5c122cf87ac1", "name": "OpenRouter Model", "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ 240, 192 ], "credentials": { "openRouterApi": { "id": "ZWE4fSp3S8TRyFsm", "name": "OpenRouter account" } } }, { "parameters": { "respondWith": "json", "responseBody": "={{ JSON.stringify({ resume: $json.text || '' }) }}", "options": { "responseCode": 200 } }, "id": "b1a3f84c-ab19-4200-8a7d-362f22212c19", "name": "Send Response", "type": "n8n-nodes-base.respondToWebhook", "typeVersion": 1.5, "position": [ 576, 0 ] }, { "parameters": { "promptType": "define", "text": "={{ $json.user_prompt }}", "messages": { "messageValues": [ { "message": "You are a professional resume optimization assistant. You create tailored resumes from the candidate's career data for specific job postings.\n\nIMPORTANT: Write the resume in the SAME LANGUAGE as the job posting. If the vacancy is in Russian, write the resume in Russian. If in English, write in English.\n\n## YOUR PROCESS\n\n### Step 1: Analyze the Job Posting\nExtract: job title, company, required skills/technologies, experience requirements, key responsibilities, industry keywords.\n\n### Step 2: Analyze Candidate Data\nReview the candidate's career data provided in the user message.\n\n### Step 3: Generate the Resume as JSON\n\nYou MUST output a valid JSON object with this exact structure:\n```json\n{\n \"name\": \"Full Name\",\n \"contacts\": { \"email\": \"...\", \"linkedin\": \"...\", \"github\": \"...\" },\n \"summary\": \"2-3 sentence professional summary tailored to this specific job\",\n \"experience\": [\n {\n \"company\": \"Company Name\",\n \"role\": \"Role Title\",\n \"period\": \"Jan 2020 - Dec 2023\",\n \"bullets\": [\"Achievement with metrics using Technology...\"]\n }\n ],\n \"skills\": [\"Python\", \"SQL\", \"Docker\"],\n \"education\": [\n { \"institution\": \"University\", \"degree\": \"CS\", \"period\": \"2016-2020\" }\n ]\n}\n```\n\n#### RESUME CONTENT RULES:\n- Max 3 bullets per job, one line each\n- Focus on RESULTS, not tasks: not \"managed a team\" but \"led a team of 5, launched 4 products generating >1B RUB/year\"\n- Embed specific technologies within achievement descriptions\n- For old or irrelevant experience: include company, role, period only, empty bullets array\n- Keywords: Feature keywords from the job posting IF they exist in the original data\n- ATS optimization: Ensure sufficient keyword overlap with the vacancy\n- Remove obvious skills (Excel, VS Code, Jupyter, GitHub, Jira, bash) unless required by the job\n- Remove irrelevant info: No location, language proficiency, age, hobbies\n- Prioritize relevant experience, compress or omit irrelevant ones\n- Preserve original writing style where possible\n- contacts field: only include fields found in candidate data, omit missing ones\n\n#### STRICT RULES - NEVER VIOLATE:\n- NEVER fabricate job titles, companies, degrees, certifications, or achievements\n- NEVER invent metrics, numbers, or achievements not present in the data\n- NEVER use the em dash symbol, the word \"delve\", or other common LLM text markers\n- NEVER drop work experience or achievements unless they clearly decrease fit\n- You CAN add related technologies plausible from context (Python user = pip, venv)\n- You CAN add umbrella terms inferable from context: \"NLP\" if they did text processing\n- You CAN rephrase metrics with same values: \"1% - 10%\" to \"1-10%\"\n- You CAN reorder and emphasize existing content for relevance\n- Do NOT cut critical content (work experience, education) if you can cut something else\n\n## OUTPUT FORMAT\nReturn ONLY the JSON object. No explanations, no preamble, no markdown code fences. Just the raw JSON." } ] }, "batching": {} }, "id": "5c48faa6-2d85-46c4-8bb1-ad10a2e3de77", "name": "Resume LLM Chain", "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.9, "position": [ 240, 0 ] }, { "parameters": { "content": "### 1. Copy your Webhook URL\nAfter importing this template\n- activate the workflow and copy the **Production URL** from this Webhook node.\n- Paste it into your CV CMS Settings page", "width": 352 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -480, -80 ], "id": "938670c2-870c-4a09-86bf-e1ace5ca4974", "name": "Sticky Note" }, { "parameters": { "content": "### 2. Add your OpenRouter API key\nClick this node and setup your **OpenRouter credentials**:\n1. Go to [openrouter.ai](https://openrouter.ai) and create an API key\n2. In this node, click \\\"Credential\\\" → \\\"Create New\\\"\n3. Paste your API key", "height": 176, "width": 352 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 384, 160 ], "id": "11ae6fb8-2f78-480a-b41a-ce6a87aceb29", "name": "Sticky Note1" } ], "pinData": {}, "connections": { "Webhook": { "main": [ [ { "node": "Validate Input", "type": "main", "index": 0 } ] ] }, "Validate Input": { "main": [ [ { "node": "Prepare Prompt", "type": "main", "index": 0 } ], [ { "node": "Error Response", "type": "main", "index": 0 } ] ] }, "Prepare Prompt": { "main": [ [ { "node": "Resume LLM Chain", "type": "main", "index": 0 } ] ] }, "Resume LLM Chain": { "main": [ [ { "node": "Send Response", "type": "main", "index": 0 } ] ] }, "OpenRouter Model": { "ai_languageModel": [ [ { "node": "Resume LLM Chain", "type": "ai_languageModel", "index": 0 } ] ] } }, "active": true, "settings": { "executionOrder": "v1", "binaryMode": "separate", "availableInMCP": false }, "versionId": "6434934d-a921-416c-9c29-076d80611ddb", "meta": { "templateCredsSetupCompleted": true, "instanceId": "f0afe3a3bb1b2e8dee3f8131e154366737afc8f57252876ea40856c229c51b48" }, "id": "dLdUZ6HeyNe6pn20", "tags": [ { "name": "AI", "id": "pxD3fe2u9NjlPxwu", "updatedAt": "2026-02-25T05:59:35.323Z", "createdAt": "2026-02-25T05:59:35.323Z" }, { "name": "CV", "id": "r490yVZOnZJ0h6fV", "updatedAt": "2026-02-25T05:59:35.348Z", "createdAt": "2026-02-25T05:59:35.348Z" } ] }