D1 Pathway Reports

D1 Pathway Reports Skill

Overview

This skill generates professional DOCX reports for Michael Shapira's D1 swimming recruitment pathway, incorporating:

• XGBoost ML predictions based on actual D1 roster progressions
• School-by-school analysis with recruiting probability
• Competition calendar filtered for Shabbat observance
• Training recommendations with kosher keto nutrition
• Monthly time progression targets

Color Scheme (Shapira Theme)

Report Structure

1. Executive Summary (1 page)

• Michael's current status (times, height, class year)
• XGBoost tier prediction
• Top 3 target schools with match scores
• Key dates and deadlines

2. XGBoost Analysis (2 pages)

• Model accuracy and methodology
• Tier probability distribution
• Feature importance (times, height, improvement trajectory)
• Comparable recruits from training data

3. School Rankings (3-4 pages)

• All 29 schools ranked by XGBoost match score
• For each school: times needed, coach info, engineering/RE minor, Chabad
• Color-coded by tier

4. Pathway Analysis (2 pages)

• Monthly progression targets (50 Free, 100 Free)
• Gap analysis for each tier
• Achievability ratings
• Comparable recruit progressions

5. Competition Calendar (2 pages)

• 2026 meet schedule with target times
• Shabbat conflict indicators
• Priority ratings (CRITICAL, HIGH, MEDIUM)
• D1 recruiting exposure opportunities

6. Training Plan (2 pages)

• Weekly structure (Shabbat-compliant)
• Monthly targets table
• Kosher keto nutrition protocol
• Key focus areas for 50/100 Free

7. Appendix

• Full recruit progression database
• Israeli Olympic swimmer pipeline
• Engineering program rankings

JavaScript Template

const { Document, Packer, Paragraph, TextRun, Table, TableRow, TableCell,
        Header, Footer, AlignmentType, HeadingLevel, BorderStyle, 
        WidthType, ShadingType, PageBreak } = require('docx');

// Shapira Theme Colors
const COLORS = {
  navyBlue: "1E3A5F",
  gold: "D4AF37",
  forestGreen: "228B22",
  oceanBlue: "4682B4",
  coral: "FF7F50",
  orange: "FFA500",
  green: "28A745",
  yellow: "FFC107",
  red: "DC3545",
  lightBlue: "D5E8F0",
  teal: "20B2AA",
  white: "FFFFFF",
  black: "000000"
};

// Standard table borders
const borders = {
  top: { style: BorderStyle.SINGLE, size: 1, color: "CCCCCC" },
  bottom: { style: BorderStyle.SINGLE, size: 1, color: "CCCCCC" },
  left: { style: BorderStyle.SINGLE, size: 1, color: "CCCCCC" },
  right: { style: BorderStyle.SINGLE, size: 1, color: "CCCCCC" }
};

// Tier color mapping
function getTierColor(tier) {
  switch(tier) {
    case 0: case "elite": return COLORS.gold;
    case 1: case "strong": return COLORS.forestGreen;
    case 2: case "mid": return COLORS.oceanBlue;
    case 3: case "safety": return COLORS.coral;
    default: return COLORS.lightBlue;
  }
}

// Achievability color
function getAchievabilityColor(status) {
  if (status.includes("ACHIEVABLE")) return COLORS.green;
  if (status.includes("AGGRESSIVE")) return COLORS.yellow;
  return COLORS.red;
}

Data Sources

1. data/michael_xgboost_pathway.json - XGBoost analysis results
2. data/d1_schools_27_complete.json - Comprehensive school data
3. data/d1_roster_progression_analysis.json - Recruit progressions
4. data/melacha_prohibited_dates.json - Shabbat/Yom Tov dates
5. data/kosher_keto_nutrition.json - Nutrition protocol

Usage

node scripts/generate_d1_pathway_report.js

Output: reports/michael_d1_pathway_report_YYYY-MM-DD.docx