
Riffrec Feedback Analysis
FreeTransform raw feedback into actionable insights.
Free · Opens the source repo
What Riffrec Feedback Analysis does
Riffrec Feedback Analysis is designed to help users convert raw product feedback captured through Riffrec into structured, actionable insights. This skill is specifically tailored for those who utilize the Riffrec capture tool, which records synchronized screen, voice, and event sessions. By processing various input formats such as Riffrec zip bundles, audio files, and video recordings, this skill provides a streamlined approach to feedback analysis. It allows users to categorize their recordings based on the nature of the feedback, whether it’s a quick bug report or a detailed analysis of user requirements.
The skill operates by routing the user's input to the appropriate reference guide, ensuring that the analysis is efficient and relevant. For instance, if a user has a short recording describing a specific issue, the skill will direct them to the quick bug report reference. Conversely, for longer recordings that encompass multiple issues or complex workflows, it will guide them to the extensive analysis reference, which facilitates deeper exploration of the feedback. This structured approach not only saves time but also enhances the quality of the feedback received, making it easier for development teams to address user concerns effectively.
In addition to analyzing recordings, Riffrec Feedback Analysis emphasizes privacy by keeping raw data local unless explicitly requested by the user. This is crucial for maintaining confidentiality while still allowing for traceability through the committed text and metadata artifacts. The skill also provides clear instructions on how to invoke its analysis scripts, ensuring that users can easily integrate it into their existing workflows without unnecessary complications.
Overall, Riffrec Feedback Analysis is an essential tool for developers and designers looking to leverage user feedback for product improvement. By turning unstructured data into organized insights, it empowers teams to make informed decisions based on user experiences and requirements.
When to use it
Use this skill when you have Riffrec recordings and need to extract actionable insights from user feedback.
When not to use it
Avoid this skill if you do not have Riffrec recordings or if your feedback is not in the supported formats.
What you can build with it
Quick Bug Reporting
When a user has a short recording of a specific issue, they can quickly generate a concise bug report without the need for extensive analysis.
Extensive User Feedback Analysis
For longer recordings that cover multiple issues or workflows, users can leverage the skill to extract detailed requirements and brainstorm material.
Riffrec Setup Guidance
New users can utilize the skill to receive step-by-step instructions on how to install Riffrec and capture their first session.
How to install Riffrec Feedback Analysis
View source1. Install with the skills CLI
npx skills add everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by everyincRiffrec 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.
Choose the path
Route to the matching reference based on the input. Read only that reference; do not load the others.
- 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/quick-bug-report.md. Emit one concise bug report; skip the full artifact set and brainstorm handoff. - Extensive analysis — input is a longer recording, contains multiple issues / requirements / workflow walkthroughs, or the user wants requirements or brainstorm material. Read
references/extensive-analysis.md. Always continue into thece-brainstormskill.
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
- Keep raw recordings, audio chunks, zip contents, session dumps, and extracted screenshots local-only by default. Do not commit
raw/orframes/directories unless the user explicitly asks and privacy is acceptable. - Text/metadata artifacts (requirements kickoff material, analysis summaries, problem analyses, source manifests) may be committed when they are needed for traceability and contain no sensitive data.
- Use repo-relative screenshot paths in any committed doc so later agents can open the evidence without absolute local paths.
Analyzer entrypoint
All non-setup paths share the same analyzer, which ships in this skill's scripts/ directory. The Bash tool's working directory is the user's project, not the skill directory, so a bare scripts/<name> path will not resolve. Invoke it by the skill's own absolute path: set SKILL_DIR to the directory you loaded this ce-riffrec-feedback-analysis SKILL.md from, in the same command (shell state does not persist between Bash calls):
SKILL_DIR="<absolute path of the directory containing this SKILL.md>";
python "$SKILL_DIR/scripts/analyze_riffrec_zip.py" /path/to/input
Accepted inputs: a Riffrec .zip, an .mp4 / .mov / .webm video, an .m4a / .mp3 / .wav audio file, or a meeting-notes .md. Use --output-dir <dir> to control where artifacts land. In repos with docs/brainstorms/, the default remains docs/brainstorms/riffrec-feedback/ as a documented evidence/kickoff-artifact exception; it is not the durable ce-brainstorm output convention. The quick path overrides the output dir to a temp location so nothing pollutes the repo.
The Compound Engineering output format used by the extensive path is documented in references/compound-engineering-feedback-format.md.
Frequently asked questions about Riffrec Feedback Analysis
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