contact-cache

# Contact Cache Track all identified/contacted people across strategies. CSV-backed contact database with dedup by LinkedIn URL or email. Prevents duplicate outreach when running strategies on a recurring cadence. ## Usage ```bash # Check if contacts are already cached python3 skills/contact-cache/scripts/cache.py check --linkedin-urls "https://linkedin.com/in/person1,https://linkedin.com/in/person2" python3 skills/contact-cache/scripts/cache.py check --emails "john@example.com,jane@example.com" # Add a single contact python3 skills/contact-cache/scripts/cache.py add --name "John Smith" --linkedin-url "https://linkedin.com/in/johnsmith" --email "john@example.com" --company "Acme Corp" --title "VP Finance" --strategy "2A-hiring-signal" # Bulk import from CSV python3 skills/contact-cache/scripts/cache.py add --csv /path/to/leads.csv --strategy "2A-hiring-signal" # Update a contact's status python3 skills/contact-cache/scripts/cache.py update --linkedin-url "https://linkedin.com/in/johnsmith" --status contacted --notes "Sent intro email 2026-02-24" # Export the full cache python3 skills/contact-cache/scripts/cache.py export --format csv python3 skills/contact-cache/scripts/cache.py export --format json python3 skills/contact-cache/scripts/cache.py export --status contacted python3 skills/contact-cache/scripts/cache.py export --strategy "2A-hiring-signal" # Print summary statistics python3 skills/contact-cache/scripts/cache.py stats ``` ## Data Contacts are stored in `skills/contact-cache/data/contacts.csv`. The file is auto-created on first use. Dedup is by LinkedIn URL (preferred) or email. Both are normalized and hashed (SHA256, first 16 chars) to produce a stable `contact_id`. ## Valid Statuses `new`, `qualified`, `contacted`, `replied`, `meeting_booked`, `converted`, `not_interested`