/auditing-warehouse-view-health
Audit the health of a PostHog project's materialized views (saved queries) — find every failed materialization and flag unused or stale materialized views that cost storage and compute. Use when the user asks "which of my views are broken?", "why is this materialized view
Claude Code
$ npx -y skills add posthog/posthog --skill auditing-warehouse-view-health --agent claude-code
Codex
$ npx skills add posthog/posthog --skill auditing-warehouse-view-health -a codex -y
Cursor
$ npx skills add posthog/posthog --skill auditing-warehouse-view-health -a cursor -y
Gemini CLI
$ npx skills add posthog/posthog --skill auditing-warehouse-view-health -a gemini-cli -y
GitHub Copilot
$ npx skills add posthog/posthog --skill auditing-warehouse-view-health -a github-copilot -y
OpenCode
$ npx skills add posthog/posthog --skill auditing-warehouse-view-health -a opencode -y
Windsurf
$ npx skills add posthog/posthog --skill auditing-warehouse-view-health -a windsurf -y
SKILL.md
auditing-warehouse-view-health.SKILL.mdname: auditing-warehouse-view-health
description: >
Audit the health of a PostHog project's materialized views (saved queries) — find every failed materialization and
flag unused or stale materialized views that cost storage and compute. Use when the user asks "which of my views are
broken?", "why is this materialized view failing?", "are any of my views wasting compute?", or wants a one-shot
triage of view health. For source/sync health use `auditing-warehouse-source-health`.
Auditing data warehouse view health
This skill produces a project-wide audit of **materialized views** (materialized saved queries) in the data warehouse — which ones are failing, and which are materialized but unused. Use it when the user wants a summary of view health, not a deep-dive on one failure.
The same underlying endpoint (`data-warehouse-data-health-issues-retrieve`) also reports source, sync, batch-export, and transformation issues. Source and sync health is covered by `auditing-warehouse-source-health`. Destinations (batch exports) and transformations are owned by other products — surface them if they appear, but route them to the relevant team rather than diagnosing here.
When to use this skill
- "Which of my views are broken?" / "Why is this materialized view failing?"
- "Are any of my materialized views wasting compute?"
- Reviewing view health after a HogQL or schema change
- Dashboards backed by materialized views are stale or erroring
Available tools
| Tool | Purpose | | -------------------------------------------- | -------------------------------------------------------------------- | | `data-warehouse-data-health-issues-retrieve` | One-shot: all failed/degraded items across the whole pipeline | | `view-list` | All saved queries / materialized views with status and latest_error | | `view-run-history` | Run history for a specific materialized view | | `warehouse-suggestions-list` | PostHog's open deprecate / materialize / certify suggestions, if any |
Filter the `data-health-issues` results to the `materialized_view` type for this audit. Use `view-list` when you need more than the active-failure summary (non-failing views, materialization flags, last-queried info) and `view-run-history` to see the run trail for a specific view.
What counts as a view "issue"
From the data-health endpoint, this audit cares about one of the five categories:
| `type` | Trigger | Typical urgency | | ------------------- | ------------------------------------------------------------- | --------------- | | `materialized_view` | `DataWarehouseSavedQuery.is_materialized=true, status=Failed` | Medium |
Each entry includes `id`, `name`, `type`, `status`, `error`, `failed_at`, and `url`.
The other categories the endpoint returns are out of scope for this skill:
- `source` / `external_data_sync` → `auditing-warehouse-source-health`
- `destination` (batch export) → owned by the batch exports / data pipelines product
- `transformation` (HogFunction) → owned by the CDP / ingestion side
Note the data-health endpoint only reports _active failures_. For views it doesn't flag:
- Non-materialized views with errors (only materialized views are reported)
- Materialized views that are healthy but unused (costing compute every run) — see Step 4
Workflow
Step 1 — One-shot pull
Call `data-warehouse-data-health-issues-retrieve` and keep the `materialized_view` entries.
If there are no view issues, tell the user their materialized views are healthy and stop. Don't invent problems.
Step 2 — Triage failures
Materialized view failures are usually independent of sources — a view failure is a HogQL or data issue in the view itself (syntax error, missing table reference, type mismatch). For each failing view, surface the `error` and point at the offending query. Use `view-run-history` if the user wants the failure trail.
An `error` that starts with `Not published:` is not a query problem. The view's data quality checks failed and the refresh was held back. Hand off to `debugging-failed-data-quality-checks`.
Step 3 — Present the audit
Render a prioritized report. Don't dump the raw JSON — human-readable:
## Materialized view health — 2 issues
### 🟠 Materialized views (2)
- monthly_revenue — view failed (syntax error in HogQL: 'FORM' instead of 'FROM')
- active_users_30d — view failed (missing table reference)
Both are HogQL issues in the view definitions — independent of your sources. Want me to open one?
Step 4 — Go beyond active failures (when asked)
**Start from PostHog's suggestions** if the `warehouse-suggestions-*` tools are available. Call `warehouse-suggestions-list` with `status=proposed`. PostHog computes these from read usage:
- A `deprecate` suggestion names a materialized view that nobody reads. Accepting it marks the view deprecated in the
data catalog. The view keeps refreshing, so it still costs compute. To stop that cost, unmaterialize the view with `view-unmaterialize`, after the user confirms.
- A `materialize` suggestion names a view that is read often enough that materializing it saves compute. Accepting it
turns on materialization with the proposed refresh mode and interval.
Present them before any hand audit. Follow the `reviewing-warehouse-suggestions` skill to explain, change, accept or dismiss them.
**Unused materialized views:** Call `view-list`. Materialized views cost storage and compute every run. If any are marked materialized but haven't been queried lately, surface them as cleanup candidates (the data is available via `view-list`; unmaterialize via `view-unmaterialize`).
Only run this extra check if the user explicitly asks for a broader aud
Read more
name: auditing-warehouse-view-health description: > Audit the health of a PostHog project's materialized views (saved queries) — find every failed materialization and flag unused or stale materialized views that cost storage and compute. Use when the user asks "which of my views are broken?", "why is this materialized view failing?", "are any of my views wasting compute?", or wants a one-shot triage of view health. For source/sync health use `auditing-warehouse-source-health`.
Auditing data warehouse view health
This skill produces a project-wide audit of **materialized views** (materialized saved queries) in the data warehouse — which ones are failing, and which are materialized but unused. Use it when the user wants a summary of view health, not a deep-dive on one failure.
The same underlying endpoint (`data-warehouse-data-health-issues-retrieve`) also reports source, sync, batch-export, and transformation issues. Source and sync health is covered by `auditing-warehouse-source-health`. Destinations (batch exports) and transformations are owned by other products — surface them if they appear, but route them to the relevant team rather than diagnosing here.
When to use this skill
- "Which of my views are broken?" / "Why is this materialized view failing?"
- "Are any of my materialized views wasting compute?"
- Reviewing view health after a HogQL or schema change
- Dashboards backed by materialized views are stale or erroring
Available tools
| Tool | Purpose | | -------------------------------------------- | -------------------------------------------------------------------- | | `data-warehouse-data-health-issues-retrieve` | One-shot: all failed/degraded items across the whole pipeline | | `view-list` | All saved queries / materialized views with status and latest_error | | `view-run-history` | Run history for a specific materialized view | | `warehouse-suggestions-list` | PostHog's open deprecate / materialize / certify suggestions, if any |
Filter the `data-health-issues` results to the `materialized_view` type for this audit. Use `view-list` when you need more than the active-failure summary (non-failing views, materialization flags, last-queried info) and `view-run-history` to see the run trail for a specific view.
What counts as a view "issue"
From the data-health endpoint, this audit cares about one of the five categories:
| `type` | Trigger | Typical urgency | | ------------------- | ------------------------------------------------------------- | --------------- | | `materialized_view` | `DataWarehouseSavedQuery.is_materialized=true, status=Failed` | Medium |
Each entry includes `id`, `name`, `type`, `status`, `error`, `failed_at`, and `url`.
The other categories the endpoint returns are out of scope for this skill:
- `source` / `external_data_sync` → `auditing-warehouse-source-health`
- `destination` (batch export) → owned by the batch exports / data pipelines product
- `transformation` (HogFunction) → owned by the CDP / ingestion side
Note the data-health endpoint only reports _active failures_. For views it doesn't flag:
- Non-materialized views with errors (only materialized views are reported)
- Materialized views that are healthy but unused (costing compute every run) — see Step 4
Workflow
Step 1 — One-shot pull
Call `data-warehouse-data-health-issues-retrieve` and keep the `materialized_view` entries.
If there are no view issues, tell the user their materialized views are healthy and stop. Don't invent problems.
Step 2 — Triage failures
Materialized view failures are usually independent of sources — a view failure is a HogQL or data issue in the view itself (syntax error, missing table reference, type mismatch). For each failing view, surface the `error` and point at the offending query. Use `view-run-history` if the user wants the failure trail.
An `error` that starts with `Not published:` is not a query problem. The view's data quality checks failed and the refresh was held back. Hand off to `debugging-failed-data-quality-checks`.
Step 3 — Present the audit
Render a prioritized report. Don't dump the raw JSON — human-readable:
## Materialized view health — 2 issues ### 🟠 Materialized views (2) - monthly_revenue — view failed (syntax error in HogQL: 'FORM' instead of 'FROM') - active_users_30d — view failed (missing table reference) Both are HogQL issues in the view definitions — independent of your sources. Want me to open one?
Step 4 — Go beyond active failures (when asked)
**Start from PostHog's suggestions** if the `warehouse-suggestions-*` tools are available. Call `warehouse-suggestions-list` with `status=proposed`. PostHog computes these from read usage:
- A `deprecate` suggestion names a materialized view that nobody reads. Accepting it marks the view deprecated in the
data catalog. The view keeps refreshing, so it still costs compute. To stop that cost, unmaterialize the view with `view-unmaterialize`, after the user confirms.
- A `materialize` suggestion names a view that is read often enough that materializing it saves compute. Accepting it
turns on materialization with the proposed refresh mode and interval.
Present them before any hand audit. Follow the `reviewing-warehouse-suggestions` skill to explain, change, accept or dismiss them.
**Unused materialized views:** Call `view-list`. Materialized views cost storage and compute every run. If any are marked materialized but haven't been queried lately, surface them as cleanup candidates (the data is available via `view-list`; unmaterialize via `view-unmaterialize`).
Only run this extra check if the user explicitly asks for a broader aud
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Questions about auditing-warehouse-view-health.
- Which coding agents can use auditing-warehouse-view-health?
- auditing-warehouse-view-health 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.

