Reward and motivation system for AI agents. Dopamine-like wanting, not just doing. Part of the AI Brain series.
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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 vta-memoryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install vta-memoryβ 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/vta-memory/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Vta Memory can do for your AI workflow
Reward and motivation system directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 2,826+ 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 Vta Memory
Help me get started with Vta Memory
Explains what Vta Memory does, walks through the setup, and runs a quick demo based on your current project
Use Vta Memory to reward and motivation system for AI agents
Invokes Vta Memory with the right parameters and returns the result directly in the conversation
What can I do with Vta Memory in my documents & notes workflow?
Lists the top use cases for Vta Memory, with example commands for each scenario
Guides & tutorials for AI skills
Vta Memory extends your AI assistant with the ability to reward and motivation system for AI agents. Dopamine-like wanting, not just doing. Part of the AI Brain series. 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 Vta Memory as its underlying capability.
Vta Memory 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 Vta Memory 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.
Getting started with Vta Memory takes about two minutes. Place the skill at `~/.claude/skills/vta-memory/` (personal, all projects) or `.claude/skills/vta-memory/` (project-specific), then restart your AI client. From that point, typing `/vta-memory` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Vta Memory has been installed 2,826 times, making it one of the more actively used skills in the Documents & Notes category. The install rate suggests it solves a real, recurring need rather than a niche edge case. 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/vta-memory/ for personal use (all projects), or .claude/skills/vta-memory/ for project-specific use. Restart your AI client, then invoke with /vta-memory or let the AI discover it automatically.
Vta Memory supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Vta Memory is free to install. Check the repository for licensing information.
Reward and motivation system for AI agents. Dopamine-like wanting, not just doing. Part of the AI Brain series.
Automate my documents & notes tasks using Vta Memory
Identifies repetitive steps in your workflow and sets up Vta Memory to handle them automatically
MCP vs traditional plugins: what's the difference?
Vta Memory is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.