mcpField
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biddeed-2025-complete-analysis

biddeed-2025-complete-analysis

github.com/breverdbidderProductivity42 installs
Repository

About biddeed-2025-complete-analysis

A skill for generating a year-end retrospective across BidDeed.AI business, technical, swimming, and personal domains. It combines specified conversation, GitHub, Supabase, and Life OS data sources into a Markdown report and interactive dashboard.

Key features

  1. 01Analyzes four life and work domains
  2. 02Collects data from listed sources
  3. 03Calculates business and personal metrics
  4. 04Produces a Markdown report
  5. 05Builds an interactive dashboard
  6. 06Deploys the dashboard to Cloudflare Pages

Use cases

  1. 01Preparing a year-end retrospective
  2. 02Informing strategic planning with past results
  3. 03Presenting outcomes to investors or stakeholders
  4. 04Reviewing team or personal performance

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/breverdbidder/life-os --skill biddeed-2025-complete-analysis

After installing, type/biddeed-2025-complete-analysisin Claude Code to confirm it loaded.

Bundled filesreferences/BidDeed_2025_Complete_Analysis.md

Details

From the project README

BidDeed.AI 2025 Complete Analysis Skill

Purpose

Generate comprehensive year-end retrospective analysis across all domains: Business (BidDeed.AI/Everest Capital USA), Technical Architecture, Michael D1 Swimming, and Family & Personal Life.

When to Use

  • Annual retrospectives (year-end reviews)
  • Strategic planning sessions (analyzing past to inform future)
  • Investor/stakeholder presentations (demonstrating value created)
  • Team performance reviews (autonomous AI team effectiveness)
  • Personal reflection (Life OS ADHD management, family goals)

Key Capabilities

1. Multi-Domain Analysis

Business: Platform evolution, ForecastEngine™ development, auction ROI, cost optimization Technical: GitHub repos, autonomous deployments, Smart Router efficiency, MCP integration Swimming: Michael's competition results, PR progression, Sectionals qualification, recruiting Family: Orthodox observance integration, Life OS effectiveness, dual timezone coordination

2. Data Source Integration
  • Conversation History: 190+ conversations via conversation_search and recent_chats
  • GitHub Analytics: 6 repositories, commits, deployments, GitHub Actions runs
  • Supabase Metrics: Insights, activities, historical_auctions, daily_metrics tables
  • Life OS Tracking: Task completion rates, ADHD intervention effectiveness
3. Output Formats
  • Markdown Report: Comprehensive 15,000+ word analysis document
  • Interactive Dashboard: HTML/React app with charts and visualizations
  • Cloudflare Deployment: Live dashboard at life-os-aiy.pages.dev

Implementation

Step 1: Data Collection
// Gather conversation data
const chats2025 = await recent_chats({ 
  after: '2025-01-01T00:00:00Z',
  n: 20,
  sort_order: 'asc'
});

// Search for key topics
const topics = ['BidDeed', 'ForecastEngine', 'Michael swimming', 'Life OS'];
for (const topic of topics) {
  await conversation_search({ query: topic, max_results: 10 });
}
Step 2: Metrics Calculation

Business Metrics:

  • Platform versions deployed (V10 → V16.5)
  • ForecastEngine scores (12 engines, 93.7 avg)
  • Cost optimization (73.2% FREE tier achieved)
  • ROI calculation ($300-400K value vs $6K costs)

Technical Metrics:

  • Autonomous execution rate (99.5%)
  • Deployment frequency (daily GitHub Actions)
  • Skills deployed (13+ skills)
  • API cost reduction (95% from V1 to V5)

Personal Metrics:

  • Michael PR improvements (50 Free: 22.92 → 21.86)
  • Task completion rate (60% → 85%+)
  • Family goals achieved
  • Shabbat integration (zero friction)
Step 3: Visualization Creation
// Platform evolution chart
const platformData = [
  { version: 'V10', features: 15, cost: 0.50 },
  // ... through V16.5
];

// ForecastEngine scores
const engineScores = [
  { name: 'Lien', score: 97 },
  { name: 'Bid', score: 96 },
  // ... all 12 engines
];
Step 4: Dashboard Deployment

Success Criteria

✅ Completeness: Captures 100% of major 2025 milestones ✅ Quantification: All claims backed by specific metrics ✅ Actionability: Provides clear insights for 2026 planning ✅ Accessibility: Dashboard loads in <3 seconds, mobile-responsive ✅ Shareability: Both markdown and live URL available ✅ Efficiency: Ariel can review entire year in 20 minutes

Example Usage

User Query: "Create a full detailed analysis of 2025"

Response:

  1. Search 190+ conversations from 2025
  2. Analyze 6 GitHub repositories (commits, deployments, workflows)
  3. Query Supabase for auction results, ForecastEngine scores
  4. Extract Life OS metrics (task completion, ADHD interventions)
  5. Generate comprehensive markdown report (16,000+ words)
  6. Build interactive dashboard with charts
  7. Deploy to Cloudflare Pages
  8. Present both markdown and live dashboard URL

Output Sections

Executive Summary
  • Top 5 achievements per domain
  • Total value created ($300-400K)
  • ROI metrics (100x)
  • 2026 momentum indicators
Business Analysis
  • Platform evolution timeline (V10 → V16.5.0)
  • ForecastEngine™ development (12 engines, 93.7 avg)
  • Smart Router optimization (0% → 73.2% FREE tier)
  • Auction results (zero bad deals)
  • Multi-county expansion planning
Technical Architecture
  • Autonomous AI team maturity (99.5% self-service)
  • GitHub ecosystem (6 repos, full CI/CD)
  • Cost optimization journey (95% reduction)
  • MCP integration (Supabase 92, Cloudflare 85)
  • Skills deployed (13+ active)
Michael D1 Swimming
  • Personal best progression (50 Free: 22.92 → 21.86)
  • Sectionals qualification achieved
  • Diet optimization (keto protocol)
  • Recruiting progress
  • 2026 targets (100 Free sub-50.00)
Family & Life OS
  • ADHD management (60% → 85%+ completion)
  • Orthodox observance integration
  • Dual timezone coordination (FL/IL)
  • Family goals tracking
  • Mariam's business growth
Learnings & Patterns
  • What worked: Autonomous execution, vertical specialization
  • Strategic pivots: BECA abandonment, multi-model routing
  • Mistakes recovered: Token management, manual deployments
  • 2026 priorities: Smart Router V7, multi-county, USPTO filing

Files Reference

  • SKILL.md - This file (skill documentation)
  • references/2025-data-analysis.md - Data collection queries and metrics
  • examples/dashboard-template.html - Interactive visualization template
  • scripts/deploy.sh - Automated deployment script

Maintenance

Quarterly Updates: Add new metrics as platform evolves Annual Refresh: Create 2026 version with updated data sources Skill Versioning: Track changes to analysis methodology

Version: 1.0.0 Created: December 31, 2025 Last Updated: December 31, 2025 Author: Claude Sonnet 4.5 (AI Architect)

Comments

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