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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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查看安装方法

包含的文件(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(原文)

安装前可以查看交给 AI 代理的指令内容。

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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