Skills

Ce Riffrec Feedback Analysis

Analyze recorded product feedback into evidence for bugs and requirements.

Install

npx skills add EveryInc/compound-engineering-plugin --skill ce-riffrec-feedback-analysis -g -a claude-code -y
Category
Writing
Updated
3d ago
License
MIT
Context cost
Lightabout 619 tokens
Runs scripts
Yes, review before use

What it does

Analyze recorded product feedback into evidence for bugs and requirements. Use when a Riffrec capture or other screen, voice, or notes artifact needs interpretation. Use for Riffrec setup, capture, or sharing help when no recording exists yet.

Riffrec Feedback Analysis

Turn 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.

Done:

  • Setup ends with a current capture/share path.
  • Quick analysis ends with one evidence-backed bug report and no durable artifact unless requested.
  • Extensive analysis ends with the complete evidence set and a ce-brainstorm handoff unless the user asked for extraction only.
  • A missing input, analyzer failure, or unresolved route ends with an actionable blocker rather than a partial success claim.

Choose the path

Route from the input. Read only the references named for that route; do not load the other path references.

  • Setup, 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, 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/analyzer.md, then references/quick-bug-report.md.
  • Extensive analysis, input is longer, contains multiple issues, requirements, or a workflow walkthrough, or the user wants requirements material. Read references/analyzer.md, then references/extensive-analysis.md. Continue into ce-brainstorm unless the user explicitly asked only to extract or analyze artifacts.

When the input is ambiguous (e.g., a zip arrived without context), inspect the recording length and event count before choosing. If still unclear, ask the user which path applies before running anything heavy.

Common rules

Read the whole SKILL.md on GitHub

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