
Debugging Local Replay
FreeTroubleshoot session recording issues in local environments.
Free · Opens the source repo
What Debugging Local Replay does
Debugging Local Replay is a skill designed for developers working with the PostHog analytics platform, specifically to address issues related to session recordings not appearing in local development environments. This skill guides users through a systematic approach to diagnose and resolve common problems that may prevent session recordings from being captured and displayed correctly. It covers the entire local replay pipeline, from SDK capture to the various backend services involved in processing and storing recording data.
When a developer encounters issues such as missing recordings or failed ingestion, this skill provides a structured method to identify the root cause. It includes a quick symptom guide that helps pinpoint whether the problem lies with the SDK configuration, the ingestion pipeline, or the data playback service. By following the outlined steps, users can efficiently troubleshoot issues related to triggers, process health, and data flow through Kafka, ensuring that all components of the recording pipeline are functioning as expected.
This skill is particularly useful for developers who are actively working on or testing features that rely on session recordings. It is designed to minimize downtime and frustration by providing clear, actionable steps to resolve common failures. With its focus on the local development environment, Debugging Local Replay is an essential tool for any developer looking to enhance their workflow with PostHog's session replay capabilities.
By utilizing this skill, developers can save time and effort in diagnosing issues, leading to a smoother development process and more reliable session recording functionality. The skill is especially beneficial for teams that rely heavily on session recordings for debugging and user experience analysis, as it ensures that the necessary data is always available for review and improvement.
When to use it
Use this skill when developers report issues with local replay ingestion or when recordings are missing despite expected behavior.
When not to use it
This skill is not suitable for production environments or for issues unrelated to the local replay pipeline.
What you can build with it
Identifying SDK Issues
A developer finds that no `/s` calls are being made in the Network tab and uses this skill to check SDK configuration and triggers.
Verifying Process Health
After confirming that SDK calls are being made, a developer uses this skill to verify that all necessary backend processes are running correctly.
Troubleshooting Kafka Data Flow
When recordings are listed but playback fails, a developer employs this skill to check the data flow through Kafka and diagnose any ingestion issues.
How to install Debugging Local Replay
View source1. Install with the skills CLI
npx skills add posthog/posthog/debugging-local-replay --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by posthogDebugging local session replay
When a developer says "local replay isn't working" or "recordings aren't showing up", work through these layers in order. The local replay pipeline has several moving parts and failures are usually silent.
Quick symptom guide
| Symptom | Likely cause |
|---|---|
No /s calls in Network tab | SDK not recording — triggers, settings, or recorder script issue (Step 1) |
/s calls return 200 but no recordings in list | Ingestion pipeline broken — capture-replay, Kafka, or ingestion-sessionreplay (Steps 2-3) |
| Recordings listed but playback stuck on "Buffering..." | recording-api (port 6741) not running (Step 2) |
| Recorder script MIME type or CORS error in console | Frontend build stale — need pnpm build + pnpm copy-scripts (Step 1) |
The local replay pipeline
Browser SDK → /s endpoint (Caddy proxy :8000)
→ capture-replay (Rust, :3306)
→ Kafka (session_recording_snapshot_item_events topic)
→ ingestion-sessionreplay (Node, :6740, PLUGIN_SERVER_MODE=recordings-blob-ingestion-v2)
→ SeaweedFS (blob storage, :8333)
→ recording-api (Node, :6741, PLUGIN_SERVER_MODE=recording-api)
→ Frontend
A break at any point in this chain means no recordings in the UI. The diagnostic approach is to find where the chain breaks.
Step 1 — Is the SDK even trying to record?
Ask the developer to open browser DevTools Network tab and filter for /s.
If no /s calls at all:
The SDK isn't attempting to send recording data. Investigate client-side causes:
- Triggers configured in project settings. If URL triggers, event triggers, or linked flag triggers are set up, recording won't start until a trigger fires. This is the most common cause for developers who've been testing trigger features. Check Session replay settings in the local UI (Project settings > Session replay). Remove or adjust triggers to allow recording to start.
- Recording disabled in project settings. Session replay may be toggled off.
- Sample rate set too low. If
$replay_sample_rateis < 1.0, sessions may be sampled out. - SDK not initialized with recording. Check the local app's PostHog initialization —
session_recordingmust not be explicitly disabled. - Wrong PostHog host. The local app must point to
http://localhost:8000(or wherever the local Caddy proxy is running). - Ad blocker. Even in local dev, browser extensions can block the recorder script or
/sendpoint. - Recorder script failed to load (MIME type / CORS error). The browser console may show
MIME type ('text/html') is not executableforposthog-recorder.jsor a CORS error forlazy-recorder.js. This means Django is serving an HTML page (usually the login redirect) instead of the JS file — the static recorder scripts are stale or missing. See recorder script build failure.
If /s calls are happening with 200 responses:
The SDK is recording and capture is receiving data. The break is downstream — proceed to Step 2.
If /s calls are returning errors (4xx/5xx):
The capture service may be down or misconfigured. Check capture-replay in phrocs.
Step 2 — Are the required processes running?
Check that these phrocs processes are running and healthy.
A "running" process that never produced output after tsx watch src/index.ts is effectively dead.
Key processes and their ports
| Process | Port | What it does |
|---|---|---|
capture-replay | 3306 | Rust service receiving /s, writes to Kafka |
ingestion-sessionreplay | 6740 | Node consumer processing recordings from Kafka |
recording-api | 6741 | Node service serving replay data to the frontend |
Verify with:
lsof -nP -i :3306 -i :6740 -i :6741
If ports are not listening: The processes haven't started or are stuck. See common failures.
If ports are listening: The pipeline processes are running. Proceed to Step 3.
Docker dependencies
These Docker containers must be running and healthy:
| Container | Purpose |
|---|---|
posthog-kafka-1 | Message bus for recording events |
posthog-db-1 | Postgres for metadata |
posthog-redis7-1 | Redis for state |
posthog-clickhouse-1 | ClickHouse for session data |
seaweedfs-main | Blob storage for recording data |
Check with:
docker ps --format "table {{.Names}}\t{{.Status}}" | grep -E "kafka|db|redis7|clickhouse|seaweed"
All should show (healthy) except seaweedfs which doesn't have a health check.
If seaweedfs-main is missing, the replay Docker profile may not be active —
check the docker-compose phrocs process output for --profile replay.
Step 3 — Is data flowing through Kafka?
If capture-replay is running and receiving /s calls, data should land on the
session_recording_snapshot_item_events Kafka topic. Check the Kafka UI at
http://localhost:8080 (if the debug_tools intent is enabled) or use kcat:
kcat -b localhost:9092 -t session_recording_snapshot_item_events -C -c 5 -e
If the topic is empty or doesn't exist: capture-replay isn't writing to Kafka. Check its phrocs logs for Kafka connection errors.
If data is on the topic but recordings don't appear: ingestion-sessionreplay isn't consuming. Check if it's stuck, crashed, or if an orphaned process is holding the consumer group (see common failures).
Step 4 — Check SeaweedFS
Ingestion writes recording blobs to SeaweedFS. Verify it's accessible:
curl -s http://localhost:8333/ | head -5
The SESSION_RECORDING_V2_S3_ENDPOINT env var must be set correctly.
In bin/start, this defaults to http://seaweedfs:8333 (the Docker hostname).
Host processes resolve this via Docker networking.
Common failures reference
See common failures for detailed diagnosis of:
- Orphaned Node processes holding Kafka consumer groups
- Processes stuck at
bin/wait-for-docker - tsx watch silently swallowing crashes
- Port conflicts between Docker and host processes
- Cargo build lock contention on startup
Frequently asked questions about Debugging Local Replay
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