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Get Started Free →Finds the most informative session recording linked to an error tracking issue. Use when a user has an error tracking issue ID and wants to watch a replay showing what the user was doing when the error occurred. Ranks linked sessions by recency, activity score, and journey completeness, then summarizes the pre-error context. Replaces blind session picking from potentially hundreds of linked record
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-05 | ✗→✓ | ▲ Improved | 55% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -12% | 0% |
| case-09 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 50% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 20% | 0% |
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.
| 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:session-recording-summarize | AI summary of the selected recording (optional, slow) |
Fetch the error tracking issue to understand what you're looking for:
jsonposthog:query-error-tracking-issue { "issueId": "<issue_id>" }
Note the issue's fingerprint, name, and description — you'll need the fingerprint to find linked sessions.
Query exception events to get session IDs where this error occurred. Order by recency and include basic context:
sqlposthog: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.
Fetch recording metadata for the candidate sessions to rank them:
jsonposthog: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:
Rank by:
journey before the error, short enough to be practical to watch or summarize.
active_seconds to recording_duration. A 20-minuterecording with 10 seconds of activity is mostly idle tabs — the user walked away. Prefer sessions where active_seconds / recording_duration is above 0.3 (30%).
activity_score means the user was actively interacting,not idle. More interesting to watch.
Fetch full details for the selected recording:
jsonposthog:session-recording-get { "id": "<best_recording_id>" }
Present to the user:
user was browsing 3 pages before hitting it")
derived from the events query in step 2 (the url and first_seen columns)
If the user wants a narrative summary without watching:
jsonposthog:session-recording-summarize { "session_ids": ["<best_recording_id>"], "focus_area": "<error description or type>" }
Warn that this takes ~5 minutes for first-time summaries.
the page immediately. Note this — it's useful context even without a long replay.
what's available with a note about the small sample.
$session_id is null on many exception events, session replay may not be enabledfor the affected users. Mention this as a possible gap.
focus_area parameter on session-recording-summarize is powerful here —pass the exception type or message so the summary focuses on the error context rather than the entire session.
Other measured skills in the registry, with their headline benchmark lift.