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/diagnosing-failed-warehouse-syncs

Diagnose why a data warehouse sync is failing and recommend the right recovery action. Use when the user asks "why isn't my Stripe/Postgres/Hubspot sync working?", "this table has been stuck for hours", "the data in the warehouse looks wrong", or wants to troubleshoot a specific

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$ npx -y skills add PostHog/ai-plugin --skill diagnosing-failed-warehouse-syncs --agent claude-code

SKILL.md

diagnosing-failed-warehouse-syncs.SKILL.md
name: diagnosing-failed-warehouse-syncs
description: >
  Diagnose why a data warehouse sync is failing and recommend the right recovery action. Use when the user asks "why
  isn't my Stripe/Postgres/Hubspot sync working?", "this table has been stuck for hours", "the data in the warehouse
  looks wrong", or wants to troubleshoot a specific source or schema. Covers source-level vs schema-level failures,
  stuck Running states, credential and schema-drift errors, incremental-field misconfig, CDC prerequisite failures,
  and the cancel / reload / resync / delete-data recovery actions.

Diagnosing failed data warehouse syncs

Work top-down when a data warehouse source or table is failing, stuck, or producing bad data: source → schema → recovery action. Do **not** jump straight to "resync from scratch" — that discards synced data and restarts from zero, which is rarely the right first step.

When to use this skill

  • The user reports a specific sync is failing (e.g. "my Stripe source is red")
  • A table has been in `Running` state far longer than expected
  • Data in a warehouse table is stale, missing rows, or looks corrupt
  • Latest rows aren't appearing despite the schema being marked `Completed`
  • The user is choosing between cancel / reload / resync / delete-data and isn't sure which
  • Another skill — typically `auditing-warehouse-source-health` — has surfaced a failing source or schema and the user

wants to dig into it

Both entry points (user-reported and audit-handoff) use the same workflow; the audit just means you already know which item to diagnose and can skip Step 1's discovery search.

Available tools

| Tool | Purpose | | ------------------------------------------------------ | -------------------------------------------------------------------------- | | `external-data-sources-list` | List all sources with connection status and latest error | | `external-data-sources-retrieve` | Full details for one source including all its schemas | | `external-data-schemas-list` | All table schemas across all sources, with per-table status + latest_error | | `external-data-schemas-retrieve` | Full details for one schema including sync_type_config | | `external-data-schemas-cancel` | Cancel a sync currently in `Running` state | | `external-data-schemas-reload` | Trigger a sync using the configured sync method (respects incremental) | | `external-data-schemas-resync` | Full resync — wipes synced data and restarts. Destructive | | `external-data-schemas-delete-data` | Delete the synced table but keep the schema entry | | `external-data-schemas-partial-update` | Change sync_type / incremental_field / cdc_table_mode | | `external-data-sources-partial-update` | Update a source's credentials (`job_inputs`) after rotation | | `external-data-sources-reload` | Retrigger syncs for every enabled schema on a source | | `external-data-sources-refresh-schemas` | Re-fetch the source's table list to pick up new tables | | `external-data-sources-check-cdc-prerequisites-create` | Verify Postgres CDC setup for a source | | `external-data-schemas-incremental-fields-create` | Refresh candidate incremental fields when the source schema has changed | | `external-data-sources-webhook-info-retrieve` | Check webhook registration state and external service status | | `external-data-sources-create-webhook-create` | Re-register a webhook that was lost or never registered | | `external-data-sources-update-webhook-inputs-create` | Update the signing secret after rotation on the source side | | `external-data-sources-delete-webhook-create` | Remove a broken webhook before re-registering |

Workflow

Step 1 — Locate the failing item

If the user named a source, go straight to `external-data-sources-retrieve`. Otherwise start with `external-data-sources-list` and `external-data-schemas-list` to find what's red.

Two kinds of failure:

  • **Source-level** (`ExternalDataSource.status = "Error"`): the connection itself is broken — credentials expired,

host unreachable, account disabled. Affects every table.

  • **Schema-level** — the source connects fine but one or more tables are failing. In the serialized API response

from `external-data-schemas-list`, look for `status` values `"Failed"`, `"Billing limits"`, or `"Billing limits too low"`. (The underlying model enum values are `BillingLimitReached` and `BillingLimitTooLow`, but the serializer rewrites them — match on both the human-readable and enum forms to be safe.)

A source can look `Completed` at the top level while one of its schemas is `Failed` — always check both.

Step 2 — Classify the schema status

From `external-data-schemas-list`, each schema has a `status`:

| Status | Meaning | Usually means | | ------------------------------------------------------------------- | ------------------------------------------ | -------------------------------------- | | `Running` | Sync currently executing | Normal, unless stuck for hours | | `Completed` | Last sync finished

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Questions about diagnosing-failed-warehouse-syncs.

Which coding agents can use diagnosing-failed-warehouse-syncs?
diagnosing-failed-warehouse-syncs installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.