Enables programmatic internalization of lessons into memory and creates structured help requests using the Active Learning Protocol.
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Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install active-learnerOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install active-learnerβ 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/active-learner/π‘Extract and place the folder at the path above, then restart your agent.
Category
πDocuments & NotesPlatforms
What Active Learner can do for your AI workflow
Programmatic internalization directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
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 Active Learner
Help me get started with Active Learner
Explains what Active Learner does, walks through the setup, and runs a quick demo based on your current project
Use Active Learner to programmatic internalization of lessons into memory and creates str...
Invokes Active Learner with the right parameters and returns the result directly in the conversation
What can I do with Active Learner in my documents & notes workflow?
Lists the top use cases for Active Learner, with example commands for each scenario
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Active Learner extends your AI assistant with the ability to enables programmatic internalization of lessons into memory and creates structured help requests using the Active Learning Protocol. 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 Active Learner as its underlying capability.
Active Learner 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 Active Learner 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.
Active Learner installs like any other MCP skill: drop the folder into `~/.claude/skills/active-learner/` for global access, or `.claude/skills/active-learner/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/active-learner`, or let the AI decide when it's the right tool for your request.
Active Learner has 830 installs and is part of the growing Documents & Notes skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. 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/active-learner/ for personal use (all projects), or .claude/skills/active-learner/ for project-specific use. Restart your AI client, then invoke with /active-learner or let the AI discover it automatically.
Active Learner supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Active Learner is free to install. Check the repository for licensing information.
Enables programmatic internalization of lessons into memory and creates structured help requests using the Active Learning Protocol.
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Links
Automate my documents & notes tasks using Active Learner
Identifies repetitive steps in your workflow and sets up Active Learner to handle them automatically
Active Learner is categorized under Documents & Notes. These skills help AI agents perform specialized tasks in this domain.