client-memory

Enforce a standardized directory structure and data freshness rules for client-related assets.

Updated Jul 22, 2025
One-click install
npx skills add https://github.com/MichaelSolati/mkai --skill client-memory-michaelsolati
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: client-memory
Source: https://github.com/MichaelSolati/mkai/tree/main/profiles/real-estate/skills/client-memory
Command: npx skills add https://github.com/MichaelSolati/mkai --skill client-memory-michaelsolati

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Real estate professionals often struggle with scattered, inconsistent client data that lacks standardized structure and freshness checks, leading to wasted time re-researching outdated information and inconsistent client-facing materials.

Core Features & Use Cases

  • Standardized Client Directory Structure: Defines a uniform ./clients/ folder layout for all client data, including lead pipelines, market reports, individual client profiles, and communication drafts, so all team members can find information quickly.
  • Data Freshness Rules: Sets clear retention timelines for different data types (7 days for market data and lead research, 14 days for comparable property analysis, 30 days for client profiles) to ensure users always work with up-to-date information.
  • Consistent Output Formatting: Provides terminal-native display standards for all real estate skills, including section headers, data cards, pipeline tables, and status indicators, to maintain professional, readable client communications.
  • Use Case: A real estate agent can use this skill to organize all their client and market data in a consistent format, avoid using stale comparable property data for client listings, and generate uniform reports for multiple clients without manual reformatting.

Quick Start

Use the client-memory skill to set up the standardized client directory structure and freshness rules for your real estate workflow.

Frequently Asked Questions about client-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize real estate client data organization for lead tracking and market research?

Standardize real estate client data organization by enforcing a uniform ./clients/ folder layout for all client assets. This creates a shared context system for lead pipelines, market reports, and profiles so team members can find information quickly.

What are the best data freshness rules for real estate comparable property analysis and lead research?

Effective data freshness rules for real estate set 7-day retention for market data and lead research, 14-day for comparable property analysis, and 30-day for client profiles. These timelines ensure you always work with up-to-date information and avoid stale data.

Can I use YAML frontmatter dating standards for real estate client profile retention?

Yes, you can use YAML frontmatter dating standards to validate real estate client profile retention. This mechanism enforces defined data retention rules, automatically flagging outdated market reports and client profiles for refresh.

How do I generate uniform terminal-native output formatting for real estate client communications?

Generate uniform terminal-native output formatting by applying standardized display rules for section headers, data cards, pipeline tables, and status indicators. This ensures professional, readable client communications without manual reformatting across multiple clients.

Does client-memory work for individual real estate agents or does it require a shared team directory?

Client-memory works for individual real estate agents by setting up a local standardized client directory structure, but also scales to support a shared team context system. It ensures consistent data access and freshness validation across both scenarios.