npx skills add ...
npx skills add posthog/skills --skill finding-replay-for-issue
npx skills add posthog/skills --skill finding-replay-for-issue
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 recordings.
The same skill content is published under more than one repo. The install counts are split across them; any of these commands works.
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: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) |
Fetch the error tracking issue to understand what you're looking for:
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:
This gives you up to 20 candidate sessions. More candidates means better selection.
Fetch recording metadata for the candidate sessions to rank them:
Pick the best recording by filtering out bad candidates, then ranking what's left:
Filter out:
Rank by:
active_seconds to recording_duration. A 20-minute
recording 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:
Present to the user:
url and first_seen columns)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:
If an observation has scanner_snapshot.scanner_type summarizer and
status succeeded, read scanner_result.model_output (title, summary,
intent, outcome, friction_points, keywords) — done.
Find a summarizer scanner if none exists:
One → use it. More than one → ask the user which (show name + prompt). None →
offer to create one via the creating-replay-vision-scanners skill.
Scan the recording with the chosen scanner (async, several minutes):
Retrieve by polling vision-observations-list until succeeded.
$session_id is null on many exception events, session replay may not be enabled
for the affected users. Mention this as a possible gap.posthog:query-session-recordings-list
{
"session_ids": ["<id1>", "<id2>", "<id3>", ...],
"date_from": "-30d"
}posthog:session-recording-get
{
"id": "<best_recording_id>"
}