deal-intel

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Point at any folder of foreclosure documents (PDFs, DOCX, court filings) and get structured analysis. Extracts judgment amounts, property addresses, plaintiff names, lien positions, and generates Supabase-ready JSON. Adapted from Mark Kashef's /file-intel pattern.

breverdbidder By breverdbidder schedule Updated 3/16/2026

name: deal-intel description: Point at any folder of foreclosure documents (PDFs, DOCX, court filings) and get structured analysis. Extracts judgment amounts, property addresses, plaintiff names, lien positions, and generates Supabase-ready JSON. Adapted from Mark Kashef's /file-intel pattern.

Deal Intel — Foreclosure Document Pipeline

Point at a folder. Read every file. Extract structured deal data.

Process

  1. List all files in the target folder (PDF, DOCX, TXT, MD)
  2. For each file, extract:
    • Case number
    • Property address (street, city, zip)
    • Parcel ID / account number
    • Plaintiff name and type (bank, HOA, government)
    • Defendant name(s)
    • Judgment amount
    • Sale date (if set)
    • Liens mentioned (mortgage, HOA, tax cert, code enforcement)
    • Attorney of record
  3. Cross-reference against Supabase multi_county_auctions if case number matches
  4. Generate structured output

Output

For each document, create a markdown summary in inbox/:

# [Case Number] — [Property Address]

**Source:** [filename]
**Plaintiff:** [name] ([type])
**Judgment:** $[amount]
**Sale Date:** [date or "TBD"]
**Parcel:** [ID]

## Liens Detected
- [lien type]: [holder] — [amount if known]

## Red Flags
- [HOA foreclosure with senior mortgage surviving]
- [Tax certificate issues]
- [Any anomalies]

## Recommendation
[BID/REVIEW/SKIP with reasoning]

Also output a JSON summary array for Supabase insert.

If a file can't be parsed, log it and move on. Never guess amounts — mark as "UNREADABLE" if OCR fails.

Install via CLI
npx skills add https://github.com/breverdbidder/cli-anything-biddeed --skill deal-intel
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