Zero-LLM feedback learning system for OpenClaw agents. Detects user feedback (emoji reactions, text signals like "переделай"/"круто"), logs events, discovers...
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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 feedback-learningOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install feedback-learning⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
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/feedback-learning/💡Extract and place the folder at the path above, then restart your agent.
Category
📋Product ManagerPlatforms
What Feedback Learning can do for your AI workflow
Zero-llm feedback learning directly from your Claude conversation
Works across Claude, Cursor, OpenClaw — install once, use everywhere
One-command installation — no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Feedback Learning
Help me get started with Feedback Learning
Explains what Feedback Learning does, walks through the setup, and runs a quick demo based on your current project
Use Feedback Learning to zero-LLM feedback learning system for OpenClaw agents
Invokes Feedback Learning with the right parameters and returns the result directly in the conversation
What can I do with Feedback Learning in my product manager workflow?
Lists the top use cases for Feedback Learning, with example commands for each scenario
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Feedback Learning extends your AI assistant with the ability to zero-LLM feedback learning system for OpenClaw agents. Detects user feedback (emoji reactions, text signals like "переделай"/"круто"), logs events, discovers... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Feedback Learning as its underlying capability.
Feedback Learning works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Feedback Learning 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.
Feedback Learning installs like any other MCP skill: drop the folder into `~/.claude/skills/feedback-learning/` for global access, or `.claude/skills/feedback-learning/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/feedback-learning`, or let the AI decide when it's the right tool for your request.
Feedback Learning has 80 installs and is part of the growing Product Manager skill ecosystem on DiscoverAISkills. 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/feedback-learning/ for personal use (all projects), or .claude/skills/feedback-learning/ for project-specific use. Restart your AI client, then invoke with /feedback-learning or let the AI discover it automatically.
Feedback Learning supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Feedback Learning is free to install. Check the repository for licensing information.
Zero-LLM feedback learning system for OpenClaw agents. Detects user feedback (emoji reactions, text signals like "переделай"/"круто"), logs events, discovers...
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