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ce-riffrec-feedback-analysis

Analyzes Riffrec product feedback extracting transcripts, event data, screenshots, and routes to bug report or analysis.

14|3|Updated May 7, 2026
Search Tags:#requirements gathering#bug reporting#product feedback#feedback analysis#Riffrec
One-click install
npx skills add https://github.com/Ouro-labs/ouroboros-plugins --skill ce-riffrec-feedback-analysis-ouro-labs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce-riffrec-feedback-analysis
Source: https://github.com/Ouro-labs/ouroboros-plugins/tree/main/plugins/compound-engineering/assets/skills/ce-riffrec-feedback-analysis
Command: npx skills add https://github.com/Ouro-labs/ouroboros-plugins --skill ce-riffrec-feedback-analysis-ouro-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ffmpeg, curl, python, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the analysis of product feedback captured with Riffrec, turning raw feedback into structured evidence for downstream agents.

Core Features & Use Cases

  • Feedback Analysis: Analyze Riffrec product feedback to extract structured information.
  • Path Selection: Choose between quick bug report and extensive analysis based on input.
  • Use Case: After a user submits a Riffrec session, this Skill can quickly identify issues and generate a bug report or provide detailed analysis for requirements gathering.

Quick Start

Analyze the Riffrec session in 'session.zip' and generate a bug report.

Frequently Asked Questions about ce-riffrec-feedback-analysis

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

FAQPage Schema
How do I analyze product feedback captured with Riffrec recordings?▼

To analyze product feedback captured with Riffrec, this Skill extracts transcript, event data, and screenshots from the session, automatically routing the input to a quick bug report or an extensive requirements analysis based on recording length and content.

Do I need ffmpeg and curl to process Riffrec session files?▼

Yes, you need ffmpeg and curl installed to process Riffrec session files. These dependencies handle media processing and transcription, while Python is used for the subsequent feedback analysis and documentation generation.

How does automated feedback analysis handle bug reporting and requirements gathering?▼

Automated feedback analysis handles bug reporting and requirements gathering by evaluating recording length and content. It then selects a path to generate either a quick bug report for immediate issue identification or an extensive analysis for structured requirements gathering.

What is the best way to turn a Riffrec session zip into a structured bug report?▼

The best way to turn a Riffrec session zip into a structured bug report is to run it through this automated analysis, which unpacks the session, extracts event data and screenshots, and generates documentation for downstream agents.

Can I use this for extensive requirements gathering from short screen recordings?▼

You can use this for extensive requirements gathering from screen recordings, but the Skill automatically determines the output depth by routing shorter or simpler Riffrec sessions to quick bug reports and longer content to detailed analysis.

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