estate-plan-summary-memo

To generate an estate planning memo, the Skill runs a local Python agent that collects advisor inputs on documents, trustees, guardians, and beneficiary designations, then renders a structured markdown deliverable. This ensures a consistent review format for family offices.

The best way to capture estate planning interview inputs is through a structured local agent that records every detail into an interview.json file. This provides a complete audit trail alongside the final markdown memo for legal compliance.

Yes, this estate plan summary workflow is specifically designed for family office and estate-advisory contexts. It standardizes the review of wills, trusts, directives, and beneficiary designations to identify gaps before document execution.

You identify risk gaps by inputting known issues, state of residence, and beneficiary details into the structured interview. The agent processes these inputs to produce a memo that highlights missing directives or conflicting trustee designations for counsel review.

Yes, the estate plan memo tool supports optional downstream publishing to Snowflake, SharePoint, Asana, and email/calendar systems via the Seren gateway. It can also store memory entries when configured.

Yes, you need a local Python environment with a YAML frontmatter-defined skill entry to run the interview agent. The workflow also uses dependencies like requests, psycopg, and snowflake-connector-python for data operations.