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/building-workflows

Build, edit, test, enable, and monitor PostHog workflows over MCP. Author the action/edge graph so it runs and opens cleanly in the visual editor, then change drafts surgically with patch operations. Use when asked to build, set up, automate, change, fix, or debug a workflow,

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$ npx -y skills add PostHog/ai-plugin --skill building-workflows --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/building-workflows

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Build, edit, test, enable, and monitor PostHog workflows over MCP. Author the action/edge graph so it runs and opens cleanly in the visual editor, then change drafts surgically with patch operations. Use when asked to build, set up, automate, change, fix, or debug a workflow,

SKILL.md

building-workflows.SKILL.md
name: building-workflows
description: 'Build, edit, test, enable, and monitor PostHog workflows over MCP. Author the action/edge graph so it runs and opens cleanly in the visual editor, then change drafts surgically with patch operations. Use when asked to build, set up, automate, change, fix, or debug a workflow, campaign, broadcast, drip sequence, or event-triggered automation in the workflows product.'

Building workflows

A PostHog **workflow** is a directed graph: a list of **action nodes** (`actions`) wired by **edges** (`edges`), with exactly one `trigger` node that starts every run. You author that graph as JSON and ship it over MCP. Always call it a "workflow" to the user. "Hog flow" is the internal code name (`HogFlow`), not a user-facing term.

The single biggest failure mode is **getting the graph JSON structurally wrong**. The backend stores `actions`/`config` as loose JSON, but the visual editor parses every node against a strict schema, so a malformed node saves but then **breaks the editor view** for the whole workflow. Before composing or editing any graph, read [references/graph-schema.md](references/graph-schema.md). It is the contract; do not improvise node shapes from these examples alone.

The lifecycle

Work the workflow through these stages. Don't jump straight to enabling it.

1. **Compose the graph.** Build `actions` + `edges` per [references/graph-schema.md](references/graph-schema.md). For any `function` node, don't guess the template: list the live catalog with `cdp-function-templates-list` and read its required inputs with `cdp-function-templates-retrieve`. 2. **Create as a draft.** `workflows-create`. Every workflow is created `draft`; it does not execute yet. 3. **Test-run it.** `workflows-test-run` runs **one step at a time**. Start at the first step (omit `current_action_id`, or point it at the trigger) with sample `globals` (`{event, person, groups}`), shaped like the trigger's real payload: an `event` trigger needs an event matching its filters, and an `internal-event` trigger needs an event named in its `filters.events` (for the Slack trigger, a `$slack_message_received` event with the Slack property bag) and no person (see [references/graph-schema.md](references/graph-schema.md)). A `status=skipped` result means this payload would not fire the trigger: if you fabricated the payload, fix it to match the trigger; if it came from a real past run (`workflows-get-invocation`), the trigger's filter is wrong, not the payload. The result includes the next step's id (`nextActionId`). Feed that back as `current_action_id` and run again, walking step by step to the end. Skip `delay` nodes by jumping to the action after them (delays aren't simulated). Async side effects (HTTP/email/SMS/push) are mocked unless you set `mock_async_functions=false`. Read each step's trace to confirm the path taken. 4. **Read logs while iterating.** `workflows-logs` shows the per-step execution trace (levels DEBUG to ERROR). This is how you see _why_ a step skipped, branched, or errored. 5. **Edit, then re-test.** Patch the graph with `workflows-patch-graph` (see [Editing a draft](#editing-a-draft)). **Every edit invalidates your earlier test** — re-run the affected path before moving on. On a draft workflow, edits apply directly; on an active one they stage a draft (see [Changing a live workflow](#changing-a-live-workflow)). 6. **Enable (needs the user's explicit sign-off).** `workflows-enable` flips it to `active` and an **event/webhook/manual** trigger starts firing on matching activity. From then on it runs on real people, and every change goes through the draft → test → publish cycle before taking effect — so finish testing, then get the user's explicit go before enabling. Don't enable on your own initiative. 7. **Dispatch (batch/schedule only).** A `batch` or `schedule` workflow does **not** fire on enable alone. Send a one-off broadcast with `workflows-run-batch`, or attach a recurring schedule with `workflows-schedule-create`. A `batch` trigger fans out to a person audience, so scheduling it needs the `workflows-blast-radius` preview and its confirm token; a `schedule` trigger runs once per occurrence with no audience, so schedule it directly. Confirm with `workflows-get` that `status=='active'` _and_ its read-only `schedules` field has an active entry. 8. **Monitor.** Drill down: `workflows-global-stats` (which workflows are failing) to `workflows-stats` (one workflow's trend) to `workflows-list-invocations` (who it failed for) to `workflows-get-invocation` (the triggering payload) to `workflows-logs` (the failing step).

Full tool catalog, grouped by job: [references/lifecycle-and-debugging.md](references/lifecycle-and-debugging.md).

Editing a draft

**Patch, don't replace.** Edit a draft with `workflows-patch-graph`: a small, ordered list of id-addressed operations (`update_action`, `add_action`, `remove_action`, `add_edge`, `remove_edge`, `replace_action_edges`). `update_action` deep-merges its patch, so changing one email subject is a few lines, not the whole graph. The ops apply atomically server-side (read, apply in order, validate, save only if valid), and the response echoes the **full updated graph**, so you never re-fetch before the next edit. This keeps each round-trip tiny instead of re-transmitting every action and edge.

`workflows-update` covers only what a graph patch can't express: top-level fields like name, description, exit_condition, conversion, trigger_masking, and variables. It rejects `actions`/`edges` outright - a partial list would silently drop every step it omits - so every graph change goes through `workflows-patch-graph`.

After **any** patch, re-test the path you changed (step 3). A patch that validates structurally can still route the wrong way.

Email content follows the same rule. The email inside a `function_email` step is edited with **`workflows-patch-action-email`**: the same id-addressed design ops as the template patc

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