Make setup script executable

.cursor/config/llm-params.json

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+{
+  "defaultModel": "claude-3.5-sonnet-20240620",
+  "fallbackModel": "gpt-4-turbo-2024-04-09",
+  "temperature": {
+    "codeGeneration": 0.3,
+    "errorDebugging": 0.7
+  },
+  "contextWindow": 16000
+}

.cursor/prompts/cv-analysis.md

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+# CV Enhancement Workflow
+
+1. **Structural Analysis**
+   - Identify missing sections using industry benchmarks
+   - Check chronological consistency of employment history
+
+2. **ATS Optimization**
+   - Cross-reference with 50+ tracking systems
+   - Generate keyword gap report
+
+3. **LLM Enhancement**
+   - Rewrite summaries using power verbs
+   - Convert responsibilities to measurable achievements

.cursor/prompts/error-handling.md

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+**Debugging Process**
+1. Reproduce the error in isolation
+2. Analyze stack trace with @backend/logger.js
+3. Propose 3 potential solutions with pros/cons
+4. Implement safest option with rollback plan

.cursor/rules/cv-platform-rules.mdc

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+**CV Platform Development Protocol**
+1. Security First:
+   - Always sanitize user input using DOMPurify
+   - Encrypt resume files with AES-256-GSM during storage
+
+2. LLM Implementation Rules:
+   - Use OpenAI text-embedding-3-small for semantic analysis
+   - Maintain 0.7 temperature for balance between creativity/accuracy
+   - Verify ATS keyword suggestions against JobCopilot's latest data
+
+3. Task Management:
+   - Reference .notes/task_list.md before making changes
+   - Create atomic Git commits per feature using Conventional Commits

.notes/project_overview.md

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+# CV Optimization Platform
+
+## Key Features
+- AI-powered resume analysis
+- ATS compliance checking
+- Real-time editing suggestions
+- GDPR-compliant storage
+
+## Tech Stack
+- React.js frontend
+- Node.js/Express.js backend
+- MongoDB database
+- OpenAI/Cline LLM integration

.notes/task_list.md

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+## P-0: Critical Path (Current Sprint)
+- [ ] Implement PDF parser using PyPDF2 and @breezypdf/pdf-extract
+- [ ] Create ATS keyword mapping system (Due: 2025-03-01)
+
+## P-1: Near-Term Backlog
+- [ ] Design premium subscription flow
+- [ ] Research GDPR-compliant storage solutions
+
+## P-X: Innovation Pipeline
+- [ ] Experiment with Claude 3 Opus for cover letter generation

scripts/setup-environment.sh

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+#!/bin/zsh
+
+# Install core dependencies
+brew install poppler
+npm install -D eslint @types/node
+
+# Configure Cline models
+curl -O https://raw.githubusercontent.com/instructa/ai-prompts/main/cline-defaults.json
+
+# Setup Python virtualenv
+python -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt

utils/pdf.worker.js

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+const { PDFDocument } = require('pdf-lib');
+
+self.addEventListener('message', async (e) => {
+  const pdfDoc = await PDFDocument.load(e.data);
+  const pages = pdfDoc.getPages();
+  const textContent = pages.map(p => p.getTextContent());
+  self.postMessage(textContent);
+});

utils/resume_analysis.py

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+from openai import OpenAI
+from pdfminer.high_level import extract_text
+
+client = OpenAI()
+
+def analyze_resume(file_path):
+    text = extract_text(file_path)
+    response = client.chat.completions.create(
+        model="gpt-4-turbo",
+        messages=[{
+            "role": "system",
+            "content": "Analyze resume for:\n1. Missing ATS keywords\n2. Skill gaps\n3. Achievement opportunities"
+        },
+        {"role": "user", "content": text}]
+    )
+    return response.choices[0].message.content