dotfiles/dot_config/opencode/skills/ce-riffrec-feedback-analysis/SKILL.md
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.
npx skillsauth add pkking/dotfiles ce-riffrec-feedback-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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.
Route to the matching reference based on the input. Read only that reference; do not load the others.
references/install-riffrec.md.references/quick-bug-report.md. Emit one concise bug report; skip the full artifact set and brainstorm handoff.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.
raw/ or frames/ directories unless the user explicitly asks and privacy is acceptable.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.
testing
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
data-ai
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
development
Run the full autonomous engineering pipeline end-to-end (plan, work, code review, test, commit, push, open PR, watch CI, fix CI failures until green). Use only when the user explicitly requests hands-off execution of a software task and provides a feature description; do not auto-route casual conversation here.
development
Create an isolated git worktree for parallel feature work or PR review. Use when starting work that should not disturb the current checkout, or when `ce-work` or `ce-code-review` offers a worktree option.