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Customer Feedback skill for OpenClaw

⬇ 2.2K downloads ★ 1 stars Version 0.1.0 Rank #6763 of 10,000+

What this skill does

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".

The Customer Feedback skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

The Customer Feedback skill is ranked #6763 by downloads in the OpenClaw skill catalog (2.2K total downloads, 1 stars). It belongs to the Developer Tools category alongside 3540 other top-10000 skills.

How to install the Customer Feedback skill

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for customer-feedback and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add the Customer Feedback skill with a single command:

openclaw skills add customer-feedback

This pulls customer-feedback from ClawHub and installs it into ~/.openclaw/skills/customer-feedback/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Customer Feedback skill

Once installed, the Customer Feedback skill activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab customer-feedback-0.1.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/customer-feedback/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Customer Feedback?

Install Customer Feedback in the OpenClaw Easy desktop app by opening the Skills panel, searching for customer-feedback, and clicking Install. From a terminal you can run: openclaw skills add customer-feedback. Either way the skill is placed in ~/.openclaw/skills/customer-feedback/.

Is the Customer Feedback skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Customer Feedback do?

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.

Related: more developer tools skills

If the Customer Feedback skill looks useful, you may also want to check out other developer tools skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models