Individual skill
replay-triage
Review outcome-ranked first-touch sessions and their replay evidence. Use when radar checks or the weekly report identify a first-session failure.
templates/analytics/.agents/skills/replay-triage/SKILL.md
Source commit ff01b4009091c2140edb34d6f790ec64e7823356
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 7,644
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agents Repository topic
- ai Repository topic
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- agentic-ai Repository topic
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SKILL.mdcore · 824 bytes
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# Replay triage
- Run `pnpm --filter analytics radar:triage` or pass `--date YYYY-MM-DD` for a
UTC day.
- Start with `prompted_no_output`, `recording_started_no_ready_clip`, and
`onboarding_abandoned`. Friction and performance fields explain outcomes; do
not rank sessions by friction score.
- Review at most the top 15–30 sessions. When a bearer is available, fetch replay
timelines only for those recording ids through Analytics' deployed action.
- Use event names, offsets, counts, trouble labels, and performance summaries.
Never include emails, prompt text, URLs, or other user content in a report.