·feedback-analysis
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feedback-analysis

Customer feedback analysis — sentiment detection, NPS/CSAT frameworks, feature request clustering, support ticket triage, churn signal detection, and feedback-to-roadmap translation

11Installs·1Trend·@oimiragieo

Installation

$npx skills add https://github.com/oimiragieo/agent-studio --skill feedback-analysis

How to Install feedback-analysis

Quickly install feedback-analysis AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/oimiragieo/agent-studio --skill feedback-analysis
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: oimiragieo/agent-studio.

SKILL.md

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Customer feedback analysis transforms raw feedback into actionable intelligence across six interconnected capability areas. All capabilities share a common data pipeline: unified multi-channel feedback collection feeds sentiment detection, which powers NPS/CSAT scoring, feature clustering, ticket triage, churn signals, and ultimately roadmap prioritization.

Iron Law: All analysis degrades without unified data. Single-channel view creates blind spots.

Output: A unified feedback dataset with source, timestamp, channel, user tier, and raw text per item.

Customer feedback analysis — sentiment detection, NPS/CSAT frameworks, feature request clustering, support ticket triage, churn signal detection, and feedback-to-roadmap translation Source: oimiragieo/agent-studio.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/oimiragieo/agent-studio --skill feedback-analysis
Category
{}Data Analysis
Verified
First Seen
2026-03-10
Updated
2026-03-10

Browse more skills from oimiragieo/agent-studio

Quick answers

What is feedback-analysis?

Customer feedback analysis — sentiment detection, NPS/CSAT frameworks, feature request clustering, support ticket triage, churn signal detection, and feedback-to-roadmap translation Source: oimiragieo/agent-studio.

How do I install feedback-analysis?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/oimiragieo/agent-studio --skill feedback-analysis Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/oimiragieo/agent-studio