Customer Feedback

Customer Feedback extends your AI assistant with the ability to collect, analyze, and act on customer feedback to improve your product and business. Use when building feedback systems, running customer interviews, analyzing feature requests, measuring satisfaction (NPS, CSAT), or closing the feedback loop. Covers feedback collection methods, interview techniques, analysis frameworks, and how to decide what feedback to act on. Trigger on "customer feedback", "collect feedback", "user research", "customer interviews", "NPS", "feature requests", "feedback system". 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 Customer Feedback as its underlying capability.

Customer Feedback 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 Customer Feedback 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.

Customer Feedback installs like any other MCP skill: drop the folder into `~/.claude/skills/customer-feedback/` for global access, or `.claude/skills/customer-feedback/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/customer-feedback`, or let the AI decide when it's the right tool for your request.

Customer Feedback has 981 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.