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ce-riffrec-feedback-analysis

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About ce-riffrec-feedback-analysis

C

ce-riffrec-feedback-analysis

Analyze recorded product feedback into evidence for bugs and requirements

ce-riffrec-feedback-analysis turns recorded product feedback into structured evidence for bug reports and requirements. It is the analysis side of Riffrec, a capture tool by Kieran Klaassen that records synchronized screen, voice and event sessions and produces a zip bundle. The skill takes a Riffrec capture, or another recording of a screen, voice or notes, and extracts what the user experienced and said. It offers a quick analysis that ends in one evidence-backed bug report, which is not saved unless you ask for it, and a deeper path for requirements. Setup ends with a working capture or share path. It is useful when a product team collects video-and-voice feedback from users and needs it turned into tickets that developers can act on. The skill is part of the compound-engineering plugin by Every and is listed on skills.sh as free.

View ce-riffrec-feedback-analysisAll AI Skills apps
Price
Free
Made by
everyinc
Category
AI Skills
Website
github.com/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis