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Riffrec Feedback Analysis

技能 已验证 活跃

Riffrec product-feedback workflow. ALWAYS load when the user posts a `riffrec-*.zip`, a bundle with `session.json` + `events.json` + `recording.webm` + `voice.webm`, a video/audio recording for product feedback, or asks how to capture and share Riffrec sessions. Routes between setup, quick bug report, and extensive analysis.

目的

To convert raw product feedback recordings into structured, actionable evidence for AI-driven product development workflows, ensuring clear traceability and facilitating downstream analysis and planning.

功能

  • Processes Riffrec zip bundles, video, audio, and notes files.
  • Transcribes audio/video and extracts key moments with screenshots.
  • Generates analysis, problem reports, and requirements kickoff documents.
  • Routes feedback to setup, quick bug report, or extensive analysis paths.
  • Integrates with `ce-brainstorm` for requirement refinement.

使用场景

  • Analyzing recorded product feedback sessions to identify bugs and usability issues.
  • Extracting requirements from user recordings for feature development.
  • Providing structured input for AI-driven product brainstorming and planning.
  • Setting up a feedback capture workflow for development teams.

非目标

  • Implementing the Riffrec capture tool itself.
  • Performing code review or direct code fixes.
  • Acting as a user-facing bug tracker or issue creation tool.
  • Storing raw media files or extracted frames in version control by default.

实践

  • Feedback analysis
  • Structured documentation
  • AI-assisted product development

先决条件

  • Python 3.8+
  • ffmpeg (for media processing)
  • curl (for transcription)
  • OpenAI API key (optional, for transcription)

安装

请先添加 Marketplace

/plugin marketplace add EveryInc/compound-engineering-plugin
/plugin install compound-engineering@compound-engineering-plugin

质量评分

已验证
98 /100
about 21 hours ago 分析

信任信号

最近提交about 21 hours ago
星标16.7k
许可证MIT
状态
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