finding-replay-for-issue
사용자가 "이 오류에 대한 리플레이를 보여줘" 또는 "이슈 X에 대한 녹화를 찾아줘"라고 말할 때, 목표는 단순히 연결된 세션이 아니라 오류로 이어진 과정을 가장 잘 보여주는 세션입니다. 인기 있는 이슈에는 수백 개의 연결된 세션이 있을 수 있으며, 대부분은 충돌 전용 조각이거나 중복 발생입니다. 이 스킬은 가장 유용한 세션을 선택합니다.
npx skills add https://github.com/posthog/ai-plugin --skill finding-replay-for-issueFinding the best replay for an error tracking issue
When a user says "show me a replay for this error" or "find a recording for issue X", the goal isn't just any linked session — it's the one that best shows what led to the error. Popular issues can have hundreds of linked sessions, and most are crash-only fragments or duplicate occurrences. This skill picks the most useful one.
Available tools
| Tool | Purpose |
|---|---|
posthog:query-error-tracking-issue | Get issue details (fingerprint, status, volume) |
posthog:execute-sql | Query exception events to find linked sessions |
posthog:query-session-recordings-list | Fetch recording metadata for candidate sessions |
posthog:session-recording-get | Get full details for the selected recording |
posthog:vision-observations-list | Check for an existing Replay Vision AI summary |
posthog:vision-scanners-list | Find summarizer scanners (scanner_type=summarizer) |
posthog:vision-scanners-scan-session | Run a summarizer scanner on the recording (optional, slow) |
Workflow
Step 1 — Get the issue details
Fetch the error tracking issue to understand what you're looking for:
posthog:query-error-tracking-issue
{
"issueId": "<issue_id>"
}
Note the issue's fingerprint, name, and description — you'll need the fingerprint
to find linked sessions.
Step 2 — Find sessions with this error
Query exception events to get session IDs where this error occurred. Order by recency and include basic context:
posthog:execute-sql
SELECT
$session_id AS session_id,
count() AS occurrences,
min(timestamp) AS first_seen,
max(timestamp) AS last_seen,
any(properties.$current_url) AS url
FROM events
WHERE event = '$exception'
AND properties.$exception_fingerprint = '<fingerprint>'
AND $session_id IS NOT NULL
AND timestamp > now() - INTERVAL 30 DAY
GROUP BY session_id
ORDER BY last_seen DESC
LIMIT 20
This gives you up to 20 candidate sessions. More candidates means better selection.
Step 3 — Rank the candidates
Fetch recording metadata for the candidate sessions to rank them:
posthog:query-session-recordings-list
{
"session_ids": ["<id1>", "<id2>", "<id3>", ...],
"date_from": "-30d"
}
Pick the best recording by filtering out bad candidates, then ranking what's left:
Filter out:
- Sessions under 10 seconds (crash-only fragments, no pre-error context)
- Sessions over 1 hour (too much data to load, error is a needle in a haystack)
Rank by:
- Sweet-spot duration — 2-15 minutes is ideal. Long enough to show the user's journey before the error, short enough to be practical to watch or summarize.
- Active time ratio — compare
active_secondstorecording_duration. A 20-minute recording with 10 seconds of activity is mostly idle tabs — the user walked away. Prefer sessions whereactive_seconds / recording_durationis above 0.3 (30%). - Activity score — higher
activity_scoremeans the user was actively interacting, not idle. More interesting to watch. - Recency — more recent sessions reflect current app behavior.
Step 4 — Present the finding
Fetch full details for the selected recording:
posthog:session-recording-get
{
"id": "<best_recording_id>"
}
Present to the user:
- The recording with a link to watch it
- Why this one — briefly explain the selection ("longest session with the error, user was browsing 3 pages before hitting it")
- Pre-error context — what pages the user visited and key actions before the exception,
derived from the events query in step 2 (the
urlandfirst_seencolumns) - Error frequency — how many times the error occurred in this session
Optional: AI summary via Replay Vision
If the user wants a narrative summary without watching, use Replay Vision — "check-then-scan", since a scanner can only observe a given session once.
-
Check for an existing summary on the selected recording:
posthog:vision-observations-list { "session_id": "<best_recording_id>" }If an observation has
scanner_snapshot.scanner_typesummarizerandstatussucceeded, readscanner_result.model_output(title,summary,intent,outcome,friction_points,keywords) — done. -
Find a summarizer scanner if none exists:
posthog:vision-scanners-list { "scanner_type": "summarizer" }One → use it. More than one → ask the user which (show name + prompt). None → offer to create one via the
creating-replay-vision-scannersskill. -
Scan the recording with the chosen scanner (async, several minutes):
posthog:vision-scanners-scan-session { "id": "<scanner_id>", "session_id": "<best_recording_id>" } -
Retrieve by polling
vision-observations-listuntilsucceeded.
Tips
- If all candidate sessions are very short (<10 seconds), the error likely crashes the page immediately. Note this — it's useful context even without a long replay.
- When the issue has very few linked sessions (<3), skip the ranking and just present what's available with a note about the small sample.
- If
$session_idis null on many exception events, session replay may not be enabled for the affected users. Mention this as a possible gap. - Replay Vision has no per-call focus parameter — a summarizer scanner's focus comes from its own prompt. For error-focused summaries, prefer (or create) a summarizer scanner whose prompt targets error/exception context rather than the whole session.