finding-replay-for-issue
Lorsqu'un utilisateur dit « montre-moi un replay pour cette erreur » ou « trouve un enregistrement pour le problème X », l'objectif n'est pas simplement n'importe quelle session liée — c'est celle qui montre le mieux ce qui a conduit à l'erreur. Les problèmes populaires peuvent avoir des centaines de sessions liées, et la plupart ne sont que des fragments de crash ou des occurrences en double. Cette compétence sélectionne la plus utile.
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.