Feedback Loop - Collect, analyze, and act on user feedback for continuous agent improvement
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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-loopOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install feedback-loopβ 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/feedback-loop/π‘Extract and place the folder at the path above, then restart your agent.
Category
πProduct ManagerPlatforms
What Feedback Loop can do for your AI workflow
Feedback loop - collect, 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 Feedback Loop
Help me get started with Feedback Loop
Explains what Feedback Loop does, walks through the setup, and runs a quick demo based on your current project
Use Feedback Loop to feedback Loop - Collect, analyze, and act on user feedback for cont...
Invokes Feedback Loop with the right parameters and returns the result directly in the conversation
What can I do with Feedback Loop in my product manager workflow?
Lists the top use cases for Feedback Loop, with example commands for each scenario
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Feedback Loop extends your AI assistant with the ability to feedback Loop - Collect, analyze, and act on user feedback for continuous agent improvement. 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 Feedback Loop as its underlying capability.
Feedback Loop 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 Feedback Loop 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 Feedback Loop takes about two minutes. Place the skill at `~/.claude/skills/feedback-loop/` (personal, all projects) or `.claude/skills/feedback-loop/` (project-specific), then restart your AI client. From that point, typing `/feedback-loop` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Feedback Loop has 363 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-loop/ for personal use (all projects), or .claude/skills/feedback-loop/ for project-specific use. Restart your AI client, then invoke with /feedback-loop or let the AI discover it automatically.
Feedback Loop supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Feedback Loop is free to install. Check the repository for licensing information.
Feedback Loop - Collect, analyze, and act on user feedback for continuous agent improvement
Automate my product manager tasks using Feedback Loop
Identifies repetitive steps in your workflow and sets up Feedback Loop to handle them automatically
Feedback Loop is categorized under Product Manager. These skills help AI agents perform specialized tasks in this domain.
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