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ce-riffrec-feedback-analysis

Analyze Riffrec feedback captures from bundles or standalone recordings. Always load for `riffrec-*.zip`, `session.json` + `events.json` + `recording.webm` + `voice.webm` bundles, `.mp4`/`.mov`/`.webm` videos, `.m4a`/`.mp3`/`.wav` audio, or capture/share requests.

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See how to install

Files included (6)

  • SKILL.md3.4 KB
  • references/compound-engineering-feedback-format.md2.3 KB
  • references/extensive-analysis.md9.2 KB
  • references/install-riffrec.md1.9 KB
  • references/quick-bug-report.md3.2 KB
  • scripts/analyze_riffrec_zip.py44.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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 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.

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