ce-riffrec-feedback-analysis

Analyze Riffrec feedback bundles to extract transcripts, events, and structured evidence.

2|Updated May 8, 2026
One-click install
npx skills add https://github.com/xotong/claude-marketplace --skill ce-riffrec-feedback-analysis
Or copy as Structured Prompt for Agentβ–Ό
Please help me install this Agent Skill.
Skill: ce-riffrec-feedback-analysis
Source: https://github.com/xotong/claude-marketplace/tree/main/plugins/compound-engineering/skills/ce-riffrec-feedback-analysis
Command: npx skills add https://github.com/xotong/claude-marketplace --skill ce-riffrec-feedback-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

πŸ’‘ This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Riffrec Feedback Analysis turns raw product feedback into structured evidence for downstream agents. This skill is the consumption side of Riffrec, a capture tool that records synchronized screen + voice + event sessions and emits a riffrec-*.zip bundle.

Core Features & Use Cases

Route input to the matching reference based on the input. Read only that reference; do not load the others.

  • Setup β€” user has no recording yet and asks how to install Riffrec, capture a session, or share feedback. Read references/install-riffrec.md.
  • Quick bug report β€” input is a short recording (under ~60 seconds), the user describes a single specific issue, or asks for "quick", "small", or "just transcribe". Read references/quick-bug-report.md. Emit one concise bug report; skip the full artifact set and brainstorm handoff.
  • Extensive analysis β€” input is a longer recording, contains multiple issues / requirements / workflow walkthroughs, or the user wants requirements or brainstorm material. Read references/extensive-analysis.md. Always continue into the ce-brainstorm skill.

Quick Start

Run the analyzer on a riffrec-*.zip or media file to generate CE-ready artifacts.

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 extract transcripts from screen and voice recordings for feedback analysis?β–Ό

Feedback analysis extracts transcripts from screen and voice recordings by processing synchronized session bundles. It converts raw multimedia input into structured evidence files suitable for downstream agent workflows.

What's the best way to structure raw product feedback for downstream agents?β–Ό

Structuring raw product feedback for downstream agents involves routing input through extensive analysis to extract events and requirements. This generates structured evidence artifacts that feed directly into brainstorm workflows.

How do I generate a quick bug report from a short recording?β–Ό

Generating a quick bug report from a short recording under 60 seconds uses a routing mechanism that skips the full artifact set. It transcribes the single specific issue and emits one concise bug report without brainstorm handoff.

Can I use session events and transcripts to capture product requirements?β–Ό

Session events and transcripts can be used to capture product requirements through extensive analysis. This process routes longer recordings containing multiple workflow walkthroughs to extract structured evidence for brainstorm material.

When should I use extensive analysis instead of a quick bug report for feedback?β–Ό

Extensive analysis is necessary when feedback recordings are longer, contain multiple issues or requirements, or involve workflow walkthroughs. Short recordings under 60 seconds describing a single issue should use the quick bug report route.