Download for MacApple silicon, macOS 14+
Skill

ce-riffrec-feedback-analysis

@everyinc Updated 2026-10-17

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.

compoundengineering

Install

With your agent

Install OMGSkills skill "everyinc/compound-engineering-plugin:ce-riffrec-feedback-analysis" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/EveryInc/compound-engineering-plugin /tmp/compound-engineering-plugin && ln -s /tmp/compound-engineering-plugin/skills/ce-riffrec-feedback-analysis ~/.claude/skills/ce-riffrec-feedback-analysis

From README

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: 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. — user has no recording yet and asks how to Riffrec, capture a session, or share feedback. Read references/ -riffrec.md.