se-riffrec-feedback-analysis

Convert Riffrec feedback into transcripts, findings, and artifact drafts for SE planning.

Updated May 7, 2026

Search Tags:#requirements #analysis #evidence #brainstorm #feedback-analysis #product-feedback #riffrec

Ready to run

npx skills add https://github.com/simonwjackson/pi-software-engineering --skill se-riffrec-feedback-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: se-riffrec-feedback-analysis
Source: https://github.com/simonwjackson/pi-software-engineering/tree/main/skills/se-riffrec-feedback-analysis
Command: npx skills add https://github.com/simonwjackson/pi-software-engineering --skill se-riffrec-feedback-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Riffrec Feedback Analysis turns raw product feedback captured by Riffrec into structured, reviewable evidence for software engineering teams, enabling faster triage and decision-making.

Core Features & Use Cases

Route input to Setup, Quick bug report, or Extensive analysis paths based on zip contents and length.
Generate transcripts, extract moments and frames when video is available, and assemble candidate findings for se-brainstorm.
Produce artifact drafts (analysis.md, sourse-materials.md, problem-analysis.md, and requirements kickoff) to drive brainstorming and planning.

Quick Start

Run the analyzer on a riffrec zip to generate the full set of analysis artifacts ready for brainstorming.

Frequently Asked Questions about se-riffrec-feedback-analysis

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

FAQPage Schema

How do I convert Riffrec feedback into structured software engineering evidence?▼

This analyzer processes Riffrec zip bundles, session.json, and events.json transcripts to extract moments and frames, assembling candidate findings for software engineering triage and planning.

What is the best way to analyze product feedback transcripts for requirements brainstorming?▼

The best way to analyze product feedback for brainstorming is to route transcripts through an extensive analysis path that generates artifact drafts like problem-analysis.md and requirements kickoff files. These structured outputs drive downstream planning workflows effectively.

Can I use meeting notes instead of video transcripts for product feedback analysis?▼

Yes, meeting notes are accepted as valid input alongside session.json and events.json transcripts. The analyzer processes them to produce structured findings and artifact drafts for software engineering workflows.

Does Riffrec feedback analysis work with raw zip bundles containing video?▼

Yes, it processes raw zip bundles containing video by routing them to an extensive analysis path. It generates transcripts and automatically extracts moments and frames when video content is available.

What artifacts does feedback analysis generate for software engineering planning?▼

Feedback analysis generates artifact drafts including analysis.md, sourse-materials.md, problem-analysis.md, and a requirements kickoff file. These structured documents provide the necessary evidence to drive software engineering brainstorming and planning.

When should I use quick bug reporting instead of extensive feedback analysis?▼

Use quick bug reporting for shorter or simpler inputs. The analyzer automatically routes input to the quick bug report or extensive analysis path based on zip contents and overall length.