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-issue

Finding 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

ToolPurpose
posthog:query-error-tracking-issueGet issue details (fingerprint, status, volume)
posthog:execute-sqlQuery exception events to find linked sessions
posthog:query-session-recordings-listFetch recording metadata for candidate sessions
posthog:session-recording-getGet full details for the selected recording
posthog:vision-observations-listCheck for an existing Replay Vision AI summary
posthog:vision-scanners-listFind summarizer scanners (scanner_type=summarizer)
posthog:vision-scanners-scan-sessionRun 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:

  1. 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.
  2. Active time ratio — compare 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%).
  3. Activity score — higher activity_score means the user was actively interacting, not idle. More interesting to watch.
  4. 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 url and first_seen columns)
  • 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.

  1. 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_type summarizer and status succeeded, read scanner_result.model_output (title, summary, intent, outcome, friction_points, keywords) — done.

  2. 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-scanners skill.

  3. Scan the recording with the chosen scanner (async, several minutes):

    posthog:vision-scanners-scan-session
    {
      "id": "<scanner_id>",
      "session_id": "<best_recording_id>"
    }
    
  4. Retrieve by polling vision-observations-list until succeeded.

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_id is 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.

Related skills

  • investigating-error-issue — the quantitative side: volume, breakdowns, and stack traces for the same issue
  • investigating-replay — deep-dive one of the linked sessions
  • diagnosing-missing-recordings — when exception events have no $session_id or the linked recordings are gone

Plus de skills de posthog

error-tracking-hono
posthog
Suivi des erreurs PostHog pour Hono
tuning-incremental-sync-config
posthog
La configuration d'une synchronisation réside sur ExternalDataSchema et peut être modifiée à tout moment via external-data-schemas-partial-update. La plupart des modifications sont non destructives (prennent effet lors de la prochaine synchronisation), mais certaines (changement de sync_type, modification des clés primaires) nécessitent une manipulation prudente pour éviter de corrompre les données synchronisées.
playwright-test
posthog
Écrire un test playwright, s'assurer qu'il s'exécute et qu'il n'est pas instable.
error-tracking-ruby
posthog
PostHog suivi des erreurs pour Ruby
authoring-log-alerts
posthog
Créez des alertes de logs utiles et peu bruyantes sur les services d’un projet PostHog. Utilisez lorsque l’utilisateur demande de configurer des alertes pour ses logs, suggérez des alertes à ajouter,…
making-scenes-tab-aware
posthog
Guides converting PostHog frontend scenes to be tab aware for internal scene tabs. Use when adding or refactoring a `SceneExport` scene, fixing state leaking…
posthog-survey-creator
posthog
Créez et configurez des enquêtes dans PostHog via une conversation guidée. Utilisez cette compétence lorsqu'un utilisateur souhaite créer une enquête, recueillir des
authoring-scouts
posthog
Comment rédiger, éditer et adapter les scouts PostHog Signals — les agents programmés qui analysent un projet et écrivent des rapports dans la boîte de réception Signals. Utilisez lorsqu'un utilisateur…