Automated multi-tiered memory management (HOT, WARM, COLD). Use this skill to organize, prune, and archive context during memory operations or compactions.
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Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install memory-tieringOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install memory-tieringβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/memory-tiering/π‘Extract and place the folder at the path above, then restart your agent.
What Memory Tiering can do for your AI workflow
Automated multi-tiered memory directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 12,085+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Memory Tiering
Help me get started with Memory Tiering
Explains what Memory Tiering does, walks through the setup, and runs a quick demo based on your current project
Use Memory Tiering to automated multi-tiered memory management (HOT, WARM, COLD)
Invokes Memory Tiering with the right parameters and returns the result directly in the conversation
What can I do with Memory Tiering in my documents & notes workflow?
Lists the top use cases for Memory Tiering, with example commands for each scenario
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Memory Tiering extends your AI assistant with the ability to automated multi-tiered memory management (HOT, WARM, COLD). Use this skill to organize, prune, and archive context during memory operations or compactions. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Memory Tiering as its underlying capability.
Memory Tiering works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Memory Tiering once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Memory Tiering installs like any other MCP skill: drop the folder into `~/.claude/skills/memory-tiering/` for global access, or `.claude/skills/memory-tiering/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/memory-tiering`, or let the AI decide when it's the right tool for your request.
With 12,085 installs, Memory Tiering has built a substantial following in the Documents & Notes space. That install count reflects consistent demand from developers and teams who've found it genuinely useful. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/memory-tiering/ for personal use (all projects), or .claude/skills/memory-tiering/ for project-specific use. Restart your AI client, then invoke with /memory-tiering or let the AI discover it automatically.
Memory Tiering supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Memory Tiering is free to install. Check the repository for licensing information.
Automated multi-tiered memory management (HOT, WARM, COLD). Use this skill to organize, prune, and archive context during memory operations or compactions.
Category
πDocuments & NotesAutomate my documents & notes tasks using Memory Tiering
Identifies repetitive steps in your workflow and sets up Memory Tiering to handle them automatically
Memory Tiering is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.
Local memory management for agents. Compression detection, auto-snapshots, and semantic search. Use when agents need to detect compression risk before memory loss, save context snapshots, search historical memories, or track memory usage patterns. Never lose context again.