# COMPLETE PROMPT INDEX
## Quick Reference Guide to All 48 Prompts

**Last Updated:** October 31, 2025
**Total Prompts:** 48
**Coverage:** 100% of SwarmCare (1,362 story points)

---

## 🔍 QUICK SEARCH

**By Category:**
- [Foundation & General](#foundation--general-prompts-1-20)
- [Medical AI & Healthcare](#medical-ai--healthcare-prompts-21-32)
- [Tier 1: Critical Path](#tier-1-critical-path-prompts-33-36)
- [Tier 2: Perfection](#tier-2-perfection-prompts-37-41)
- [Tier 3: Supporting](#tier-3-supporting-prompts-42-48)

**By Use Case:**
- [EHR Integration](#ehr-integration-prompts)
- [HIPAA Compliance](#hipaa--compliance-prompts)
- [Machine Learning](#machine-learning-prompts)
- [Deployment & DevOps](#deployment--devops-prompts)
- [Documentation](#documentation-prompts)

---

## FOUNDATION & GENERAL (Prompts #1-20)

### #1: Full-Stack Application (MERN/MEAN)
- **Epic:** 1 (Foundation)
- **Time:** 8-15 weeks → 17-34 hours
- **Use:** Complete web apps
- **Tech:** MongoDB, Express, React/Angular, Node.js
- **Output:** Production-ready full-stack app

### #2: Python CLI Tool
- **Epic:** 1 (Foundation)
- **Time:** 3-5 days → 2-4 hours
- **Use:** Command-line utilities
- **Tech:** argparse, click, typer
- **Output:** CLI tool with rich output

### #3: Chrome Extension Development
- **Epic:** 5 (Frontend)
- **Time:** 1-2 weeks → 4-8 hours
- **Use:** Browser extensions
- **Tech:** Manifest V3, background/content scripts
- **Output:** Chrome Web Store ready

### #4: Serverless Function (AWS Lambda)
- **Epic:** 9 (Deployment)
- **Time:** 3-5 days → 2-4 hours
- **Use:** Scalable backend functions
- **Tech:** Lambda, API Gateway, DynamoDB
- **Output:** AWS SAM template + code

### #5: React Component Library
- **Epic:** 5 (Frontend)
- **Time:** 2-4 weeks → 8-12 hours
- **Use:** Reusable UI components
- **Tech:** TypeScript, Storybook, Tailwind
- **Output:** NPM-publishable library

### #6: Next.js Application
- **Epic:** 5 (Frontend)
- **Time:** 2-3 weeks → 6-10 hours
- **Use:** Full-stack React apps
- **Tech:** Next.js 13+, SSR, SSG, API routes
- **Output:** Vercel-deployable app

### #7: FastAPI Backend Service
- **Epic:** 1,2 (Foundation, RAG)
- **Time:** 1-2 weeks → 4-8 hours
- **Use:** High-performance APIs
- **Tech:** FastAPI, async, Pydantic
- **Output:** Auto-documented REST API

### #8: Database Schema Design
- **Epic:** 1 (Foundation)
- **Time:** 3-5 days → 2-4 hours
- **Use:** SQL/NoSQL design
- **Tech:** PostgreSQL, MongoDB, migrations
- **Output:** Schema + migrations

### #9: API Documentation
- **Epic:** 10 (Documentation)
- **Time:** 2-3 days → 2-4 hours
- **Use:** OpenAPI/Swagger docs
- **Tech:** OpenAPI 3.0, examples
- **Output:** Interactive API docs

### #10: Comprehensive Testing Suite
- **Epic:** 8 (Testing & QA)
- **Time:** 1-2 weeks → 4-8 hours
- **Use:** Unit, integration, E2E tests
- **Tech:** pytest, Jest, Cypress
- **Output:** 90%+ test coverage

### #11: Docker + Kubernetes Deployment
- **Epic:** 9 (Deployment)
- **Time:** 3-5 days → 4-6 hours
- **Use:** Container orchestration
- **Tech:** Docker, K8s, Helm
- **Output:** Production K8s manifests

### #12: CI/CD Pipeline
- **Epic:** 9 (Deployment)
- **Time:** 2-3 days → 2-4 hours
- **Use:** Automated build/deploy
- **Tech:** GitHub Actions, GitLab CI
- **Output:** Working CI/CD pipeline

### #13: Authentication System
- **Epic:** 1 (Foundation)
- **Time:** 1-2 weeks → 6-8 hours
- **Use:** User auth & authorization
- **Tech:** JWT, OAuth 2.0, SSO, MFA
- **Output:** Complete auth system

### #14: Stripe Payment Integration
- **Epic:** 11 (Business)
- **Time:** 3-5 days → 4-6 hours
- **Use:** Payment processing
- **Tech:** Stripe API, webhooks
- **Output:** Payment flow + subscriptions

### #15: Technical Documentation
- **Epic:** 10 (Documentation)
- **Time:** 1-2 weeks → 4-6 hours
- **Use:** Developer & user docs
- **Tech:** MkDocs, Sphinx
- **Output:** Professional docs site

### #16: Code Refactoring
- **Epic:** 1 (Foundation)
- **Time:** 1-2 weeks → 4-8 hours
- **Use:** Code quality improvement
- **Tech:** Design patterns, SOLID
- **Output:** Refactored codebase

### #17: Performance Optimization
- **Epic:** 1 (Foundation)
- **Time:** 3-5 days → 4-6 hours
- **Use:** Speed & efficiency
- **Tech:** Profiling, caching, DB optimization
- **Output:** 2-10x faster performance

### #18: Security Audit & Hardening
- **Epic:** 7 (Security)
- **Time:** 1-2 weeks → 6-8 hours
- **Use:** Security assessment
- **Tech:** OWASP Top 10, pen testing
- **Output:** Security audit report

### #19: Monitoring & Logging
- **Epic:** 9 (Deployment)
- **Time:** 3-5 days → 4-6 hours
- **Use:** Application observability
- **Tech:** Prometheus, Grafana, ELK
- **Output:** Full monitoring stack

### #20: Error Handling System
- **Epic:** 1 (Foundation)
- **Time:** 2-3 days → 2-4 hours
- **Use:** Robust error management
- **Tech:** Custom exceptions, Sentry
- **Output:** Error handling framework

---

## MEDICAL AI & HEALTHCARE (Prompts #21-32)

### #21: Medical AI System with HIPAA
- **Epic:** 7,14 (HIPAA, Predictive)
- **Time:** 3-4 weeks → 1-1.5 weeks
- **Use:** HIPAA-compliant ML
- **Tech:** PHI encryption, audit trails, BAAs
- **Points:** 47

### #22: Azure AI Guardrails
- **Epic:** 7 (Security)
- **Time:** 2-3 weeks → 4-6 days
- **Use:** 7-layer AI safety
- **Tech:** Content filtering, PII detection
- **Points:** 25

### #23: Multi-Agent AI (CrewAI)
- **Epic:** 3,4 (SWARMCARE, Workflow)
- **Time:** 5-6 weeks → 1.5-2 weeks
- **Use:** Collaborative agents
- **Tech:** CrewAI, task delegation
- **Points:** 94

### #24: Medical Knowledge Graph (Neo4j)
- **Epic:** 2 (RAG Heat)
- **Time:** 3-4 weeks → 1 week
- **Use:** Medical knowledge representation
- **Tech:** Neo4j, SNOMED CT, ICD-10
- **Points:** 30

### #25: Business Analysis & ROI Calculator
- **Epic:** 11 (Business)
- **Time:** 1-2 weeks → 3-4 days
- **Use:** Financial modeling
- **Tech:** NPV, IRR, payback period
- **Points:** 15

### #26: PHI Detection & De-identification
- **Epic:** 7 (HIPAA)
- **Time:** 2-3 weeks → 4-6 days
- **Use:** HIPAA Safe Harbor
- **Tech:** 18 identifiers, ML detection
- **Points:** 25

### #27: Medical Terminology Validation
- **Epic:** 16 (NLP)
- **Time:** 2 weeks → 4-5 days
- **Use:** Medical NLP validation
- **Tech:** SNOMED CT, RxNorm, ICD-10
- **Points:** 25

### #28: AI Safety & Content Filtering
- **Epic:** 7 (Security)
- **Time:** 2-3 weeks → 5-6 days
- **Use:** Multi-layer moderation
- **Tech:** Toxicity detection, PII filtering
- **Points:** 20

### #29: Clinical Decision Support System
- **Epic:** 13 (CDS)
- **Time:** 3 weeks → 1 week
- **Use:** Real-time clinical alerts
- **Tech:** Sepsis warning, drug interactions
- **Points:** 55

### #30: Predictive Analytics ML Training
- **Epic:** 14 (Predictive)
- **Time:** 4 weeks → 1.5 weeks
- **Use:** Hospital ML models
- **Tech:** Readmission, mortality, LOS
- **Points:** 62

### #31: Medical Imaging AI (CNN/Transformer)
- **Epic:** 15 (Imaging)
- **Time:** 5-6 weeks → 2 weeks
- **Use:** X-ray, CT, MRI analysis
- **Tech:** DenseNet, Vision Transformer
- **Points:** 76

### #32: Audio & Podcast Generation
- **Epic:** 6 (Audio)
- **Time:** 2 weeks → 4-5 days
- **Use:** Medical education podcasts
- **Tech:** Cartesia, ElevenLabs TTS
- **Points:** 21

---

## TIER 1: CRITICAL PATH (Prompts #33-36) ✨ NEW

### #33: Explainable AI (SHAP/XAI) 🎉
- **Epic:** 17 (Explainable AI)
- **Time:** 3 weeks → 5-7 days
- **Use:** Model interpretability
- **Tech:** SHAP, LIME, Grad-CAM
- **Points:** 34
- **Key:** <100ms explanations, FDA compliance

### #34: Voice AI & Ambient Clinical Intelligence 🎉
- **Epic:** 20 (Voice AI)
- **Time:** 4-5 weeks → 1-1.5 weeks
- **Use:** Real-time clinical documentation
- **Tech:** Deepgram, AssemblyAI, <500ms latency
- **Points:** 51
- **Key:** <5% WER, SOAP note generation

### #35: Automated Medical Coding (95%) 🎉
- **Epic:** 16,16A (NLP, Auto-coding)
- **Time:** 4-5 weeks → 1-1.5 weeks
- **Use:** AI-powered ICD-10, CPT, DRG
- **Tech:** scispaCy, BioBERT, 95%+ automation
- **Points:** 60
- **Key:** $700K-$1.4M annual ROI

### #36: Population Health & Surveillance 🎉
- **Epic:** 18,18A (Pop Health, Public Health)
- **Time:** 4 weeks → 1-1.5 weeks
- **Use:** Outbreak detection
- **Tech:** CDC NNDSS, HL7 eCR, GIS mapping
- **Points:** 64
- **Key:** <1 hour latency, >95% sensitivity

---

## TIER 2: PERFECTION (Prompts #37-41) ✨ NEW

### #37: Clinical Trial Matching & EDC 🎉
- **Epic:** 19,19A (Trials, Lifecycle)
- **Time:** 4-5 weeks → 1-1.5 weeks
- **Use:** Patient-trial matching
- **Tech:** ClinicalTrials.gov API, Medidata Rave
- **Points:** 59
- **Key:** 90%+ automation, <5s matching

### #38: SOC 2 Type II & HITRUST 🎉
- **Epic:** 7A (Security Certs)
- **Time:** 8-12 weeks → 3-4 weeks
- **Use:** Enterprise security certification
- **Tech:** 156 HITRUST controls, Vanta/Drata
- **Points:** 13
- **Key:** 6-12 month timeline, audit-ready

### #39: Closed-Loop Clinical Automation 🎉
- **Epic:** 13A (Closed-Loop)
- **Time:** 2-3 weeks → 5-7 days
- **Use:** Automated order suggestions
- **Tech:** Epic/Cerner CPOE, dose adjustments
- **Points:** 13
- **Key:** <2s suggestions, >80% acceptance

### #40: Federated Learning 🎉
- **Epic:** 14A (Federated ML)
- **Time:** 3-4 weeks → 1 week
- **Use:** Multi-hospital ML training
- **Tech:** FedAvg, FedProx, differential privacy
- **Points:** 8
- **Key:** 100+ hospitals, data never shared

### #41: FDA 510(k) Submission 🎉
- **Epic:** 15A (FDA-Cleared)
- **Time:** 4-6 months → 2-3 months
- **Use:** Medical device regulatory
- **Tech:** 510(k) package, IEC 62304, FMEA
- **Points:** 10
- **Key:** 200-500 pages, 90-day FDA review

---

## TIER 3: SUPPORTING (Prompts #42-48) ✨ NEW

### #42: PACS Integration (All Vendors) 🎉
- **Epic:** 15A (FDA + PACS)
- **Time:** 3-4 weeks → 1 week
- **Use:** Medical imaging integration
- **Tech:** DICOM, HL7, GE/Philips/Siemens
- **Points:** 11
- **Key:** >10 images/sec throughput

### #43: Edge AI for Offline Voice 🎉
- **Epic:** 20A (Offline Voice)
- **Time:** 3-4 weeks → 1 week
- **Use:** On-device voice recognition
- **Tech:** Whisper ONNX, Llama 2 7B, 100% offline
- **Points:** 13
- **Key:** <500ms latency, <5% WER

### #44: Research Paper Writing 🎉
- **Epic:** 12 (Research)
- **Time:** 2-4 weeks → 3-5 days
- **Use:** Academic paper generation
- **Tech:** JAMA/NEJM format, PubMed API
- **Points:** 21
- **Key:** Publication-ready manuscripts

### #45: RAG Pipeline 🎉
- **Epic:** 2 (RAG Heat - additional)
- **Time:** 2-3 weeks → 4-6 days
- **Use:** Medical knowledge Q&A
- **Tech:** Pinecone, Weaviate, GPT-4/Claude
- **Points:** 40 (additional)
- **Key:** <3s response, >90% accuracy

### #46: Care Coordination Workflows 🎉
- **Epic:** 4 (Workflow - additional)
- **Time:** 3-4 weeks → 1 week
- **Use:** Multi-disciplinary care teams
- **Tech:** SMART goals, HIPAA messaging
- **Points:** 24 (additional)
- **Key:** >95% task completion

### #47: Clinical Validation Study Design 🎉
- **Epic:** 17A (XAI Validation)
- **Time:** 2-3 weeks → 4-6 days
- **Use:** FDA-quality study protocols
- **Tech:** REDCap, SAP, STARD checklist
- **Points:** 8
- **Key:** >80% power, IRB-approved

### #48: Partnership Demo & Sales 🎉
- **Epic:** 11 (Business - additional)
- **Time:** 2-3 weeks → 3-5 days
- **Use:** Enterprise healthcare sales
- **Tech:** Interactive demo, ROI calculator
- **Points:** 26 (additional)
- **Key:** 3-6 month sales cycle materials

---

## 🔎 QUICK LOOKUP TABLES

### By Epic Coverage

| Epic | Prompts | Total Points |
|------|---------|--------------|
| 1 (Foundation) | 2,7,8,11,12,13,16,17,20 | 37 |
| 2 (RAG) | 7,24,45 | 100 (60+40) |
| 3 (SWARMCARE) | 23 | 94 |
| 4 (Workflow) | 23,46 | 100 (76+24) |
| 5 (Frontend) | 3,5,6 | 47 |
| 6 (Audio) | 32 | 21 |
| 7 (HIPAA/Security) | 18,21,22,26,28,38 | 125 |
| 8 (Testing) | 10 | 68 |
| 9 (Deployment) | 4,11,12,19 | 126 |
| 10 (Documentation) | 9,15 | 21 |
| 11 (Business) | 14,25,48 | 67 (26+15+26) |
| 12 (Research) | 44 | 21 |
| 13 (CDS) | 29 | 55 |
| 14 (Predictive) | 21,30 | 109 (47+62) |
| 15 (Imaging) | 31 | 76 |
| 16 (NLP/Coding) | 27,35 | 72 (25+47) |
| 17 (XAI) | 33 | 34 |
| 18 (Pop Health) | 36 | 43 |
| 19 (Trials) | 37 | 38 |
| 20 (Voice AI) | 34 | 51 |
| 7A (Certs) | 38 | 13 |
| 13A (Closed-Loop) | 39 | 13 |
| 14A (Federated) | 40 | 8 |
| 15A (FDA+PACS) | 41,42 | 21 |
| 16A (Auto-coding) | 35 | 13 (covered) |
| 17A (Validation) | 47 | 8 |
| 18A (Public Health) | 36 | 21 (covered) |
| 19A (Trial Lifecycle) | 37 | 21 (covered) |
| 20A (Offline Voice) | 43 | 13 |

### By Time Savings

| Prompt | Traditional | With Prompt | Savings | Multiplier |
|--------|-------------|-------------|---------|------------|
| #1 | 8-15 weeks | 17-34 hours | ~90% | 80-120x |
| #10 | 1-2 weeks | 4-8 hours | ~95% | 40-80x |
| #23 | 5-6 weeks | 1.5-2 weeks | ~70% | 2.5-4x |
| #29 | 3 weeks | 1 week | ~67% | 3x |
| #30 | 4 weeks | 1.5 weeks | ~63% | 2.7x |
| #31 | 5-6 weeks | 2 weeks | ~67% | 2.5-3x |
| #33 | 3 weeks | 5-7 days | ~71% | 3.4x |
| #34 | 4-5 weeks | 1-1.5 weeks | ~73% | 3.5x |
| #35 | 4-5 weeks | 1-1.5 weeks | ~73% | 3.5x |
| #41 | 4-6 months | 2-3 months | ~50% | 2x |
| #44 | 2-4 weeks | 3-5 days | ~85% | 6-12x |

### By Technology Stack

**Python:**
- #2 (CLI), #7 (FastAPI), #10 (pytest), #21-31 (Medical AI), #33-36

**JavaScript/TypeScript:**
- #1 (MERN), #3 (Chrome), #5 (React), #6 (Next.js)

**Healthcare:**
- #21-48 (all medical/healthcare related)

**DevOps:**
- #4 (AWS Lambda), #11 (Docker/K8s), #12 (CI/CD), #19 (Monitoring)

**ML/AI:**
- #21-31 (Medical AI), #33 (XAI), #40 (Federated Learning)

---

## 📍 LOCATION IN LIBRARY

All prompts are in:
```
/home/user01/claude-test/SwarmCare/AI_Accelerate_Prompts/AI_PROMPTS_LIBRARY.md
```

**Line Ranges:**
- Prompts #1-20: Lines 1-1200 (approx)
- Prompts #21-32: Lines 1201-3500 (approx)
- Prompts #33-36: Lines 3529-4566 (Tier 1)
- Prompts #37-41: Lines 4572-6275 (Tier 2)
- Prompts #42-48: Lines 6279-7783 (Tier 3)

---

## ⚡ MOST POPULAR PROMPTS

**Top 10 by Expected Usage:**

1. **#29: Clinical Decision Support** - Core medical AI
2. **#30: Predictive Analytics** - Hospital ML models
3. **#35: Medical Coding 95%** - Huge ROI ($700K-$1.4M)
4. **#34: Voice AI** - Cutting-edge documentation
5. **#21: Medical AI + HIPAA** - Foundation for all medical AI
6. **#38: SOC 2 & HITRUST** - Enterprise sales enabler
7. **#33: Explainable AI** - Regulatory compliance
8. **#31: Medical Imaging** - FDA 510(k) ready
9. **#37: Clinical Trials** - Research-ready
10. **#23: Multi-Agent (CrewAI)** - Orchestration backbone

---

## 🎯 RECOMMENDED IMPLEMENTATION ORDER

**Week 1-4: Foundation**
1. #7 (FastAPI Backend)
2. #11 (Docker + K8s)
3. #21 (Medical AI + HIPAA)
4. #26 (PHI De-identification)

**Week 5-8: Core Medical AI**
5. #29 (Clinical Decision Support)
6. #30 (Predictive Analytics)
7. #31 (Medical Imaging)
8. #33 (Explainable AI)

**Week 9-12: Advanced Features**
9. #34 (Voice AI)
10. #35 (Medical Coding)
11. #36 (Population Health)
12. #37 (Clinical Trials)

**Week 13-16: Perfection**
13. #38 (SOC 2 & HITRUST)
14. #39 (Closed-Loop Automation)
15. #40 (Federated Learning)
16. #41 (FDA 510(k))

**Week 17-22: Supporting & Launch**
17. #42 (PACS Integration)
18. #43 (Edge AI Voice)
19. #47 (Clinical Validation)
20. #48 (Demo & Sales)

---

**Document Version:** 1.0
**Last Updated:** October 31, 2025
**Quick Access:** Use Ctrl+F to search by prompt number or keyword
**Full Details:** See AI_PROMPTS_LIBRARY.md for complete prompt text
