"text":"Here is the resume you need to parse:\n\n<resume>\n{{resume}}\n</resume>\n\nYou are an advanced resume parsing system designed to extract key information from resumes and organize it into a structured JSON format. Your task is to analyze the above resume and create a JSON object containing the most relevant and insightful information.\n\nPlease follow these steps to complete the task:\n\n1. Carefully read through the entire resume.\n\n2. Extract the following information:\n - First name\n - Last name\n - Location\n - Email\n - Phone Number\n - Work experience\n - School experience\n - Skills\n\n3. For each category, focus on the most insightful and relevant information.\n\n4. Wrap the resume breakdown in <resume_analysis> tags:\n\n - Quote the relevant sections for first name, last name, email, phone number, and location.\n - For work experience, list out each entry with numbers, quoting relevant details for the company, position, duration, and key responsibilities. Note any achievements or quantifiable results.\n - For school experience, list out each entry with numbers, quoting relevant details for institution, degree, field of study, and graduation year. Include any notable academic achievements.\n - For skills, categorize them into technical skills, soft skills, and domain-specific skills, listing each skill.\n - Identify any unique selling points or standout information in the resume.\n - If any information is missing from the resume, explicitly state that it's not found.\n\n5. Organize the extracted information into a JSON object with the following structure:\n\n```json\n{\n \"first_name\": \"String\",\n \"last_name\": \"String\",\n \"location\": \"String\",\n \"email\": \"String\",\n \"phone_number\": \"String\",\n \"work_experience\": [\n {\n \"company\": \"String\",\n \"position\": \"String\",\n \"duration\": \"String\",\n \"responsibilities\": [\"String\", \"String\"],\n \"achievements\": [\"String\", \"String\"]\n }\n ],\n \"school_experience\": [\n {\n \"institution\": \"String\",\n \"degree\": \"String\",\n \"field_of_study\": \"String\",\n \"graduation_year\": \"Number\",\n \"achievements\": [\"String\", \"String\"]\n }\n ],\n \"skills\": {\n \"technical\": [\"String\", \"String\"],\n \"soft\": [\"String\", \"String\"],\n \"domain_specific\": [\"String\", \"String\"]\n },\n \"unique_selling_points\": [\"String\", \"String\"]\n}\n```\n\nImportant: \n- Include all specified categories in the JSON output, even if the information is not found in the resume. \n- For missing information, use empty string values (\"\") or empty arrays ([]) as appropriate.\n- For work_experience and school_experience, if no entries are found, include an empty array.\n- For skills, if no skills are found in a category, include an empty array for that category.\n\nAfter the <resume_analysis> section, provide the final JSON output in <json_output> tags. Ensure that your JSON output follows the structure provided above, with actual data extracted from the resume or empty values for missing information."
