memory-management

Implement a three-tier HOT, WARM, COLD memory system for cross-session SEO campaign context.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Kosmio/skeleton-test --skill memory-management-kosmio
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: memory-management
Source: https://github.com/Kosmio/skeleton-test/tree/main/.claude/skills/seo/seo-skills/cross-cutting/memory-management
Command: npx skills add https://github.com/Kosmio/skeleton-test --skill memory-management-kosmio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Maintains cross-session SEO campaign context by organizing data in a three-tier memory model (HOT, WARM, COLD), ensuring critical findings survive across sessions and workflows.

Core Features & Use Cases

  • HOT Cache: memory/hot-cache.md (80 lines max) loaded automatically every session via SessionStart.
  • WARM Storage: dated findings stored under memory/ subdirectories and loaded on demand by other skills.
  • COLD Archive: moves stale data to memory/archive with date prefixes.
  • Cross-Skill Aggregation: aggregates insights across memory/ subdirectories to support multi-skill decisions. Typical use cases include long-running campaigns, post-audit analyses, and cross-skill coordination where memory retention is needed for continuity.

Quick Start

Initialize memory structure for a new SEO project using the provided CLAUDE.md templates and memory folders.

Frequently Asked Questions about memory-management

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

FAQPage Schema
How do I preserve SEO campaign context across multiple sessions?

You can preserve cross-session SEO campaign context by implementing a three-tier memory system (HOT, WARM, COLD) that organizes data in a dedicated directory structure, ensuring critical findings and decisions survive across workflows.

What is the best way to manage long-running SEO project memory and avoid losing findings?

Managing long-running SEO project memory requires a three-tier architecture: a HOT cache loaded every session, WARM storage for on-demand dated findings, and a COLD archive for stale data with date prefixes.

How does cross-skill memory aggregation work for ongoing SEO analyses?

Cross-skill memory aggregation works by collecting insights across memory subdirectories, allowing different SEO skills to access shared findings and support multi-skill decisions during ongoing campaign workflows.

Do I need a specific directory structure to maintain cross-session memory for my campaigns?

Yes, maintaining cross-session memory requires a defined directory structure under a memory folder, CLAUDE.md frontmatter with hot-cache configuration, and integration hooks to trigger memory updates after analyses.

When should I move stale SEO findings to a COLD archive?

You should move stale SEO findings to a COLD archive when the data is no longer actively needed for current workflows, using date prefixes in the memory archive to maintain organized historical records.

Can I automatically load critical SEO context at the start of a new session?

Yes, you can automatically load critical SEO context by maintaining a HOT cache file limited to 80 lines, which is loaded automatically every session via SessionStart to ensure immediate context availability.