Finding Replay For Issue
PostHogOfficialPublished by PostHog
- Skill
- Workflow
- Data and AI
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill automates the process of finding meaningful session replays for error tracking issues. Instead of manually reviewing hundreds of potentially irrelevant recordings, the agent queries exception events, filters out noise like short or idle sessions, and ranks candidates based on duration, activity levels, and recency. It provides the user with the most informative recording and can optionally trigger AI-based summarization to explain the context leading up to the error.
What it does
- Fetches error tracking issue details including fingerprints and event data.
- Queries exception events to identify session IDs associated with a specific error.
- Filters candidate recordings to exclude fragments or excessively long sessions.
- Ranks sessions based on activity scores, duration, and recency.
- Retrieves full recording details and provides pre-error context.
- Integrates with Replay Vision to generate narrative summaries of session recordings.
When to use it
- When you need to find a specific session recording that demonstrates how an error occurred.
- When an error tracking issue has a large number of linked sessions and you need to identify the most useful ones.
- When you want to provide a summary of user actions leading up to an application exception.
- When you need to determine if an error causes an immediate crash based on session duration.
Advantages
- Reduces manual effort by automating the search and ranking of relevant session replays.
- Improves diagnostic accuracy by prioritizing sessions with higher user activity.
- Provides structured pre-error context to help developers understand the user journey.
- Supports AI-driven summarization for faster issue analysis.
Usage examples
- “Find the best session recording for error issue ID 12345.”
- The agent retrieves the issue details, queries linked sessions, ranks them by activity and duration, and presents the most relevant recording with a summary of the user's pre-error actions.
- “Summarize what happened in the most relevant recording for this error.”
- The agent identifies the top-ranked session and uses a summarizer scanner to generate a narrative report of the user's intent, friction points, and actions before the error.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/posthog/finding-replay-for-issue/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip finding-replay-for-issue.zip -d .agents/skills
Documentation by PostHog
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
| 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 20This 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.
Related skills
investigating-error-issue— the quantitative side: volume, breakdowns, and stack traces for the same issueinvestigating-replay— deep-dive one of the linked sessionsdiagnosing-missing-recordings— when exception events have no $session_id or the linked recordings are gone
Files
- ATTRIBUTION.mdAdded by AutoGineer867 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md6.6 KiB
Requirements and compatibility
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
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Attribution and licence
- Published by
- PostHog
- Publisher
- PostHog (Official)
- Source
- PostHog/skills · skills/omnibus/finding-replay-for-issue · commit a5d30e7
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
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Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download finding-replay-for-issue.zip