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Ryko1141
Ryko1141COMMUNITY
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feedback-collection

Collect, categorize, prioritize, and route user feedback from Discord, surveys, and support tickets.

Updated Feb 15, 2026
Search Tags:#feedback#product management#surveys#sentiment analysis#customer support#user feedback
One-click install
npx skills add https://github.com/Ryko1141/Hedge-Edge-agentic --skill feedback-collection
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: feedback-collection
Source: https://github.com/Ryko1141/Hedge-Edge-agentic/tree/main/Community%20Manager%20Agent/.agents/skills/feedback-collection
Command: npx skills add https://github.com/Ryko1141/Hedge-Edge-agentic --skill feedback-collection

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires discord.py, supabase, n8n, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill systematically gathers, organizes, and prioritizes user feedback from various channels to inform product development and enhance user satisfaction.

Core Features & Use Cases

  • Real-time Capture: Monitors Discord for feature requests, bug reports, and sentiment.
  • Structured Categorization: Organizes feedback by type, severity, and topic in a database.
  • Survey Management: Designs, deploys, and analyzes user surveys (NPS, pulse, exit).
  • Reporting: Generates weekly digests and monthly Voice of Customer reports.
  • Use Case: Automatically log a user's suggestion for "MT4 support" from a Discord message, categorize it as a "feature request," and include it in the weekly feedback summary for the product team.

Quick Start

Use the feedback-collection skill to capture feedback from a user's direct message.

Frequently Asked Questions about feedback-collection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I collect user feedback from Discord and support tickets automatically?▼

To collect user feedback automatically, this Skill monitors Discord messages and support tickets, categorizes them by type and severity, and routes the data into Supabase for structured product management analysis.

What is the best way to categorize and prioritize feature requests for product decisions?▼

Categorizing and prioritizing feature requests is best handled by structuring the feedback data in Supabase by topic and severity, enabling the product team to systematically rank and route items for development.

Can I use n8n and Supabase to build a continuous feedback loop for product improvement?▼

Yes, you can use n8n to automate the feedback collection workflows and Supabase to store the categorized data, creating a continuous feedback loop that informs and drives product improvement decisions.

Does this feedback collection approach support NPS and pulse survey management?▼

Yes, this approach supports survey management by allowing you to design, deploy, and analyze user surveys including NPS, pulse, and exit surveys to capture structured sentiment and feedback data.

How do I generate Voice of Customer reports from sentiment analysis and user feedback?▼

To generate Voice of Customer reports, the Skill analyzes collected sentiment and user feedback, producing weekly digests and monthly summaries that aggregate insights for the product team.

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