posthog/ai-plugin

downloading-batch-export-files

Export PostHog events, persons, sessions, or the results of a HogQL query on demand and download the resulting files.

Quelltext ansehen
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Downloading batch export files

Use this skill when a user wants a one-off downloadable export of PostHog data. The export is started and monitored through MCP, but the final file download uses the existing REST endpoint directly.

Available MCP tools

ToolPurpose
posthog:file-download-batch-exports-createStart an on-demand export and return the run ID
posthog:file-download-batch-exports-retrievePoll the run status and return file IDs after completion

Do not rely on a generated MCP tool for the /download/ endpoint. That endpoint is a redirecting file download endpoint, so raw HTTP/download handling is the right interface until MCP has explicit redirect support.

Workflow

1. Choose the export shape

Ask a short clarifying question if the user did not specify the required inputs:

  • model: one of events, persons, sessions, or hogql
  • data_interval_start and data_interval_end: ISO 8601 datetimes; the range must be at most one week.

Required for events, persons, and sessions, and not supported for hogql

  • file.format: Parquet or JSONLines; prefer Parquet for compact analytics exports and JSONLines for line-oriented text processing
  • file.compression: optional, one of zstd, gzip, brotli, lz4, or snappy. If JSONLines was chosen as format, only gzip and brotli are supported.
  • file.max_size_mb: optional maximum part size in MB; set this when the user wants multiple smaller files instead of a single (potentially large) file.

For events, include and exclude are optional event-name filters. Use them only when the user asks for specific events or wants to omit specific events.

For hogql, pass the query as hogql_query and leave out data_interval_start, data_interval_end, include, and exclude. The query runs as of the time the export starts, so there is no interval to choose. You may prompt the user to export a slice of data by including a WHERE clause in the HogQL query, for example limiting results from the events table by bounding timestamp. Always prefer limiting the data exported to the minimum necessary to solve the user's request. Every column in the SELECT clause must be a field or have an alias, and placeholders are not supported. This model is in closed beta and is enabled per team.

2. Start the export

Call posthog:file-download-batch-exports-create with the selected shape. The response contains an id for the export run.

Example request:

json
{
  "model": "events",
  "file": {
    "format": "JSONLines",
    "compression": "gzip"
  },
  "include": ["$pageview"],
  "data_interval_start": "2026-05-25T00:00:00Z",
  "data_interval_end": "2026-05-26T00:00:00Z"
}

Example request for the hogql model:

json
{
  "model": "hogql",
  "file": {
    "format": "Parquet"
  },
  "hogql_query": "SELECT event, timestamp, properties.$current_url AS url FROM events WHERE timestamp > now() - INTERVAL 1 HOUR"
}

3. Poll until completion

Call posthog:file-download-batch-exports-retrieve with the returned id.

Status handling:

StatusAction
Starting or RunningWait briefly and poll again
CompletedRead the files array and download each file
CancelledStop and report that the run was cancelled
Failed, FailedRetryable, FailedBilling, Terminated, or TimedOutStop and report the error field

When Completed, the files array contains file UUIDs. For single-file exports it usually contains one UUID. For split exports, download every UUID unless the user asked for a specific part.

4. Optionally, cancel a running export

If required by the user, a running export can be cancelled by calling posthog:file-download-batch-exports-cancel-create with the returned id.

An export that has already finished or has already failed may not be cancelled.

After cancelling an export, the id may not be used anymore and the export must start again from the beginning. However, you may still use the id to retrieve the export status (which will always be Cancelled).

5. Download files through REST

Use a direct authenticated HTTP request to the existing endpoint:

text
GET /api/projects/{project_id}/file_download_batch_exports/{run_id}/download/{part}/

part can be either:

  • a file UUID from the files array returned by file-download-batch-exports-retrieve
  • a zero-based file index, ordered by key

If there is only one file, this also works without part:

text
GET /api/projects/{project_id}/file_download_batch_exports/{run_id}/download/

Let the HTTP client follow the redirect, or inspect the Location header if you need the temporary signed URL. Use the same PostHog authentication context as other API calls.

6. Save, do not print, file contents

Treat the result as a file download, not a chat response. Parquet is binary and must be written as bytes. JSONLines may still be large; save it to a file rather than pasting the contents unless the user explicitly asks for a tiny sample.

Use a filename that includes the model, run ID, and part identifier when possible, for example:

text
posthog-events-<run_id>-<part>.jsonl.gz
posthog-persons-<run_id>-<part>.parquet

Important notes

  • The maximum export interval is one week. Split longer user requests into separate export runs or ask which week to export.
  • The hogql model is in closed beta and is enabled per team. A permission error that says HogQL batch exports are not enabled means the team does not have the beta. Report that instead of retrying with a different query, and tell the user they can contact PostHog support to request access.
  • The hogql model runs under stricter resource limits than the other models, because user queries are less predictable. If an export fails on memory, execution time, or bytes read, suggest narrowing the query with a WHERE clause instead of retrying it unchanged.
  • A run can briefly report Running after completion while file records are being created. Poll again instead of failing immediately.
  • Download URLs are temporary. If a URL expires, call the REST download endpoint again for a fresh redirect.
  • Do not send the signed URL to unrelated services unless the user explicitly asks; it grants temporary access to the exported file.
  • If the user wants all parts of a split export, iterate over every UUID in files; do not assume part 0 is enough.
  • Large batch exports may take a few minutes or even longer to complete. Suggest to the user that they can speed-up their download by including only certain events or narrowing the date range.
aus demselben Repository

Weitere Skills

Alle Skills
posthog
Offiziell

assessing-heatmaps

Assesses what a page's heatmap is telling you and recommends concrete changes. Pulls click / rageclick / scroll-depth data for a URL, names the hot elements by cross-referencing autocapture events on the same page, and can create a saved heatmap the user opens in PostHog, then summarizes the behavior and proposes improvements.\nTRIGGER when: user asks what a heatmap shows, why people aren't clicking something, where users rage-click, how far they scroll, what to change on a page based on heatmap/click data, or to 'analyze/assess/review the heatmap' for a URL.\nDO NOT TRIGGER when: the user only wants to create a saved heatmap screenshot with no analysis (use heatmaps-saved-create directly), or is asking about session replay in general (use investigating-replay).

Installationen
1
GitHub Stars
80
Aktualisiert
4. Sept.
posthog
Offiziell

auditing-endpoints

Audit every endpoint in a PostHog project for staleness, failed materialisations, and unused materialised versions. Use when the user asks "what endpoints can I clean up?", "are any of my endpoints broken?", "which materialised versions are still being called?", or wants a one-shot cleanup pass over the Endpoints product. Produces a prioritised report grouped by issue type, with recommended actions but does not modify anything without explicit confirmation.

Installationen
1
GitHub Stars
80
Aktualisiert
4. Sept.
posthog
Offiziell

auditing-experiments-flags

Audit PostHog experiments and feature flags for configuration issues, staleness, and best-practice violations. Read when the user asks to audit, health-check, or review experiments or feature flags, check flag hygiene, or verify experiment setup.

Installationen
1
GitHub Stars
80
Aktualisiert
4. Sept.
posthog
Offiziell

authoring-data-quality-checks

Adds and runs data quality checks (dbt-test style assertions) on a project's warehouse tables and saved-query views: not-null, uniqueness, accepted values, referential integrity, row-count bounds, freshness, and custom HogQL. Use when asked to test a model, validate a view, check for nulls or duplicates, add data quality checks, find out why a number looks wrong, or judge whether a warehouse table is trustworthy before using it in an analysis. To describe what data means (metrics, certifications, joins), see setting-up-data-catalog instead. Trigger terms: data quality, data test, dbt test, not null check, uniqueness check, freshness check, referential integrity, row count check, validate model, is this table trustworthy.

Installationen
1
GitHub Stars
80
Aktualisiert
4. Sept.