Claude-skill-registry-data max-bid-calculator-skill
Calculate maximum bid using BidDeed formula and bid/judgment ratios to determine BID/REVIEW/SKIP decisions
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry-data
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry-data "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/max-bid-calculator-skill" ~/.claude/skills/majiayu000-claude-skill-registry-data-max-bid-calculator-skill && rm -rf "$T"
manifest:
data/max-bid-calculator-skill/SKILL.mdsource content
Max Bid Calculator Skill
Calculates maximum bid amount and decision recommendation using BidDeed.AI proprietary formula.
When to Use This Skill
- Stage 8 of Everest Ascent pipeline
- After ARV and repair estimates determined
- Before generating final report
- Any time evaluating auction opportunity
The BidDeed Formula
MAX_BID = (ARV × 70%) - Repairs - Holding - MIN(Profit_Buffer, 15% × ARV) Where: - ARV: After-Repair Value - Repairs: Conservative repair estimate - Holding: $10,000 (standard carrying costs) - Profit_Buffer: LESSER of $25,000 OR 15% of ARV
Formula Breakdown
Component 1: ARV × 70%
Purpose: Conservative purchase price ceiling Reasoning: Industry standard for value investors Example: ARV $400K → Max $280K (70%)
Component 2: Repairs
Sources:
- Property age/condition assessment
- BCPAO photos inspection
- Drive-by evaluation
- Comparable properties Conservative Approach: Round up, not down Example: Estimate $15-20K → Use $20K
Component 3: Holding Costs
Fixed Amount: $10,000 Covers:
- Property taxes (6-12 months)
- Insurance
- HOA fees if applicable
- Utilities during renovation
- Carrying costs
Component 4: Profit Buffer
Formula: MIN($25,000, 15% × ARV) Examples:
- ARV $150K → 15% = $22.5K → Use $22.5K
- ARV $200K → 15% = $30K → Use $25K (capped)
- ARV $500K → 15% = $75K → Use $25K (capped)
Reasoning: Guarantees minimum profit while capping risk
Complete Examples
Example 1: Lower-Value Property
ARV: $180,000 Repairs: $15,000 Holding: $10,000 Profit Buffer: MIN($25K, 15% × $180K) = MIN($25K, $27K) = $25K MAX_BID = ($180K × 70%) - $15K - $10K - $25K = $126K - $15K - $10K - $25K = $76,000
Example 2: Higher-Value Property
ARV: $450,000 Repairs: $35,000 Holding: $10,000 Profit Buffer: MIN($25K, 15% × $450K) = MIN($25K, $67.5K) = $25K MAX_BID = ($450K × 70%) - $35K - $10K - $25K = $315K - $35K - $10K - $25K = $245,000
Example 3: Heavy Repairs
ARV: $300,000 Repairs: $60,000 Holding: $10,000 Profit Buffer: MIN($25K, 15% × $300K) = MIN($25K, $45K) = $25K MAX_BID = ($300K × 70%) - $60K - $10K - $25K = $210K - $60K - $10K - $25K = $115,000
Bid/Judgment Ratio Analysis
After calculating max bid, compare to judgment amount:
RATIO = MAX_BID / JUDGMENT_AMOUNT
Decision Rules
BID (Ratio ≥ 0.75):
- Strong equity cushion
- Proceed with confidence
- Auto-approve for bidding
REVIEW (Ratio 0.60 - 0.74):
- Marginal opportunity
- Human review required
- Flag for Ariel's approval
SKIP (Ratio < 0.60):
- Insufficient margin
- Not worth risk
- Auto-reject
Example Ratio Calculations
Scenario 1: Strong BID
Max Bid: $245,000 Judgment: $280,000 Ratio: $245K / $280K = 0.875 (87.5%) → Decision: BID → Reasoning: 87.5% ratio = strong value
Scenario 2: Marginal REVIEW
Max Bid: $175,000 Judgment: $260,000 Ratio: $175K / $260K = 0.673 (67.3%) → Decision: REVIEW → Reasoning: Close to threshold, needs human judgment
Scenario 3: Clear SKIP
Max Bid: $130,000 Judgment: $285,000 Ratio: $130K / $285K = 0.456 (45.6%) → Decision: SKIP → Reasoning: Insufficient equity, too risky
Output Format
{ "arv": 400000, "repairs": 35000, "holding_costs": 10000, "profit_buffer": 25000, "max_bid": 245000, "judgment_amount": 320000, "bid_ratio": 0.766, "decision": "REVIEW", "reasoning": "76.6% ratio - marginal opportunity, human review recommended" }
Integration with Pipeline
# Stage 8: Max Bid Calculation calc_result = max_bid_calculator_skill.calculate( arv=arv_estimate, repairs=repair_estimate, judgment=auction_judgment ) if calc_result['decision'] == 'BID': # Proceed to report generation generate_report(calc_result) elif calc_result['decision'] == 'REVIEW': # Flag for Ariel's review flag_for_human_review(calc_result) else: # SKIP # Log and move on log_skip(calc_result)
Decision Logging
Every calculation must be logged to Supabase:
supabase.table('auction_decisions').insert({ 'property_id': case_number, 'arv': arv, 'repairs': repairs, 'max_bid': max_bid, 'judgment': judgment, 'ratio': ratio, 'decision': decision, 'timestamp': datetime.now(), 'reasoning': reasoning })
Conservative Adjustments
When to Add Safety Margin:
- Unknown property condition → +$5K repairs
- No interior access → +$10K repairs
- Older property (>50 years) → +$15K repairs
- Complex title issues → Reduce ARV by 5%
Example with Safety Margin:
Base Repairs: $25,000 Unknown condition: +$5,000 Old property: +$10,000 Total Repairs: $40,000 (conservative)
Example Usage
"Use max-bid-calculator-skill to calculate bid for property with ARV $350K, repairs $30K, judgment $280K" "Calculate max bid: ARV $180K, repairs $15K, judgment $150K"
Critical Reminders
- Always Use Formula: Don't deviate from calculation
- Conservative Repairs: Round up, not down
- Log Everything: Track all decisions in Supabase
- Respect Ratios: Don't override threshold decisions
- Profit Buffer Caps: Remember $25K maximum