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Skills/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis
ce-riffrec-feedback-analysis logo

ce-riffrec-feedback-analysis

everyinc/compound-engineering-plugin
2K installs21K stars
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Installation

npx skills add https://github.com/everyinc/compound-engineering-plugin --skill ce-riffrec-feedback-analysis

Summary

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.

SKILL.md

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.

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 the ce-brainstorm skill.

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/ or frames/ directories unless the user explicitly asks and privacy is acceptable.
  • Text/metadata artifacts (requirements docs, 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:

python 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 is docs/brainstorms/riffrec-feedback/. 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.

Score

0–100
65/ 100

Grade

C

Popularity17/30

1,510 installs — growing adoption. Source repo has 21,309 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Ce Riffrec Feedback Analysis skill score badge previewScore badge

Markdown

[![Ce Riffrec Feedback Analysis skill](https://www.claudemarket.ai/skills/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis/badges/score.svg)](https://www.claudemarket.ai/skills/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis)

HTML

<a href="https://www.claudemarket.ai/skills/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis"><img src="https://www.claudemarket.ai/skills/everyinc/compound-engineering-plugin/ce-riffrec-feedback-analysis/badges/score.svg" alt="Ce Riffrec Feedback Analysis skill"/></a>

Ce Riffrec Feedback Analysis FAQ

How do I install the Ce Riffrec Feedback Analysis skill?

Run “npx skills add https://github.com/everyinc/compound-engineering-plugin --skill ce-riffrec-feedback-analysis” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Ce Riffrec Feedback Analysis skill do?

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. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Ce Riffrec Feedback Analysis skill free?

Yes. Ce Riffrec Feedback Analysis is a free, open-source skill published from everyinc/compound-engineering-plugin. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Ce Riffrec Feedback Analysis work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Ce Riffrec Feedback Analysis works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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