Cache enriched contact records keyed by email or LinkedIn URL.
npx skills add https://github.com/marmikcfc/pepper-skills --skill contact-cache-marmikcfc
Please help me install this Agent Skill. Skill: contact-cache Source: https://github.com/marmikcfc/pepper-skills/tree/main/skills/contact-cache Command: npx skills add https://github.com/marmikcfc/pepper-skills --skill contact-cache-marmikcfc
This skill stores and retrieves enriched contact records to prevent re-enrichment and duplicate outreach across campaigns. It provides a simple, persistent cache keyed by email or LinkedIn URL.
Cache a contact after enrichment by adding a line to the cache with timestamp, email, and profile details.
High-intent search queries and answers about installing and using this skill.
To prevent duplicate outreach and avoid re-enriching contacts, you can cache enriched contact records keyed by email or LinkedIn URL. This persistent cache stores timestamped profile details, allowing you to check if a contact was already enriched before making unnecessary API calls.
Contact caching for CRM deduplication works by storing enriched contact records on a simple disk state store. It uses read, write, and append operations to save contact details keyed by email or LinkedIn URL, enabling quick checks to verify if enrichment has already occurred.
To add enriched contacts to a cache with status tracking, append a new line containing the contact's timestamp, email, and profile details. This records the enriched data for later reference and supports bulk updates to track progress through the campaign lifecycle.
Yes, you can use a simple local on-disk state store to cache contacts for cold outreach. It supports read, write, and append operations to manage enriched records locally, and includes safeguards via confirmations for bulk updates during recurring campaigns.
A limitation of using a simple on-disk cache for contact deduplication is its reliance on basic file operations rather than a relational database. It is suited for local campaign tracking but may lack advanced querying capabilities or built-in network synchronization for large teams.
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