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Metabase Data App Actions

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Trigger CRUD operations in Metabase seamlessly.

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What Metabase Data App Actions does

The Metabase Data App Actions skill is designed for developers working with Metabase data applications who need to perform write operations against their data warehouse. This skill provides the necessary tools to invoke predefined actions, such as creating, updating, or deleting records, directly from a Metabase data app interface. By utilizing the useAction hook from the Metabase embedding SDK, developers can easily manage user interactions that require data mutations, ensuring a smooth user experience.

Actions in Metabase are server-defined operations that can be categorized as CRUD (Create, Read, Update, Delete) or custom SQL commands. Each action is linked to a specific model and comes with a defined set of parameters that must be adhered to when invoking the action. This skill simplifies the process of executing these actions by allowing developers to focus on the user interface and interaction logic without worrying about the underlying complexities of the data operations.

When a user interacts with a data app—such as clicking a button or submitting a form—the skill enables the app to trigger the appropriate action with the correct parameters. The skill also handles response management, allowing developers to refresh the UI based on the results of the action. This ensures that users see the most up-to-date information after any mutations are performed, maintaining data integrity and user confidence.

The Metabase Data App Actions skill is particularly useful for applications that require dynamic data manipulation based on user inputs. It is ideal for developers who are building data-driven applications where users need the ability to modify data directly from the interface, ensuring a responsive and interactive experience.

When to use it

Use this skill when you need to implement actions that modify data in a Metabase application, such as form submissions or updates triggered by user actions.

When not to use it

This skill is not suitable for read-only operations or when working with data that does not require user-triggered mutations.

What you can build with it

Submitting a Form

Use this skill to trigger a data mutation when a user submits a form in your Metabase data app.

Updating a Record

Implement this skill to allow users to update existing records directly from the app interface.

Deleting an Entry

Utilize this skill to enable users to delete entries from the data warehouse with confirmation prompts.

How to install Metabase Data App Actions

View source

1. Install with the skills CLI

npx skills add metabase/metabase/metabase-data-app-actions --agent claude-code

2. 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 metabase

Triggering actions from a Metabase data app

A Metabase action is a server-defined write operation against the data warehouse — either a basic CRUD operation (insert / update / delete) on a model, or a custom SQL command. Actions are configured ahead of time on the Metabase instance, with their parameters, model bindings, and permissions already set. A data app's job is to invoke an action with the right parameters when the user does something — clicking a button, submitting a form, confirming a destructive prompt.

The mental model

Actions belong to a model. They mutate that model's rows. Concretely:

  • Every action has a parent model. In the schema it appears as schema.models.<modelName>.actions.<actionName>.
  • Model entries are included here only to catalog actions. Do not render models as questions, pass model ids to InteractiveQuestion, or fetch model rows; use semantic-layer queries/questions for read views.
  • An action's type is either "implicit" (CRUD on the model) or "query" (custom SQL the user authored).
  • Implicit actions have an implicitKind that says what they do: "row/create", "row/update", "row/delete", or "bulk/*" variants.
  • Each action publishes a parameters list. Each parameter has a slug (the key the Data App sends), a jsType ("string" / "number" / "Date" / "boolean" / "unknown"), and an optional required flag.
  • Use action.parameters to know which fields to render and submit. A create result may include result["created-row"], but that row is only typed as Record<string, RowValue>; use it for lightweight confirmation, then refresh the existing table/question/query data already used by the page. Do not fetch or render the parent model itself.

What's in the schema (and what isn't)

Action entries are only generated when the typed schema includes models. Before writing action-invoking code, make sure the schema was generated with include-models=true; with database=<name-or-id>&include-models=true, Metabase includes models/actions for that database only. Do not rely on question-collections for actions; question collections only add saved questions.

Before writing any action-invoking code, look at the schema and enumerate what's available under schema.models.<m>.actions across the models the app cares about. The schema is your complete catalog of actions for the instance, not a catalog of model data to display. If a model's actions entry has create, update, delete, those are the actions invokable. Anything not present doesn't exist as far as the Data App is concerned.

The hook

import { useAction } from "@metabase/embedding-sdk-react";
import {
  type ActionKindFromDataAppSchema,
  type ActionParametersFromDataAppSchema,
} from "@metabase/embedding-sdk-react/data-app";

const { execute, isExecuting, result, error, reset } = useAction<
  ActionParametersFromDataAppSchema<typeof schema.models.<model>.actions.<action>>,
  ActionKindFromDataAppSchema<typeof schema.models.<model>.actions.<action>>
>(schema.models.<model>.actions.<action>.id);
  • First argument is the action's numeric id — read it off the schema entry as schema.models.<model>.actions.<action>.id. The hook also accepts an action's entity_id string, but in a Data App you always have the numeric id on hand from the schema, so pass that.
  • TParameters generic — the type of the parameters object you'll pass to execute. In a Data App, derive it from the schema with ActionParametersFromDataAppSchema<typeof schema.models.<model>.actions.<action>> imported from @metabase/embedding-sdk-react/data-app; the helper expands the schema's parameters[] into a keyed object, marks required: true entries as required keys, and types each value from its jsType. Skip the generic and execute accepts any Record<string, unknown>.
  • TKind generic — the action kind literal that drives the discriminated result shape. In a Data App, derive it from the same schema entry with ActionKindFromDataAppSchema<typeof schema.models.<model>.actions.<action>> imported from @metabase/embedding-sdk-react/data-app; the helper maps implicitKind ("row/create""create", "row/update""update", "row/delete""delete", any "bulk/*""bulk") and type === "query""sql". Skip the generic and result defaults to the AnyActionResult union — TS-narrowable via "<key>" in result, but you lose the per-kind precision.
  • execute(parameters) — triggers the action. Parameters object is keyed by parameter slug; parameters declared required: true are required keys, everything else optional. Returns the response body on success AND throws on failure (the error is also written to error state for render-time consumers). Resolves to null (without making a request) when actionId is null or the SDK is not yet initialized — guard the call site if those cases are reachable.
  • No enabled / options argument. The hook only ever runs when execute(...) is called, so a gate option would be redundant. Skip the action by branching in the event handler:
    const onClick = async () => {
      if (!user.canEdit) return;
      await execute({ id: orderId, discount });
    };
    
  • isExecutingtrue between the call and its resolution. Drive button disabled from this so the user can't double-click into duplicate requests.
  • result — the response body, discriminated by TKind (or the AnyActionResult union when TKind is omitted). null before the first call and after reset(). Use it for lightweight confirmation (result?.["created-row"] after an insert, result?.["rows-affected"] after a SQL action), but do not treat create rows as richly typed model rows; refresh surrounding data instead — see After an action runs.
  • error — the last thrown error, typed ActionExecuteError | null. Read fields directly with no cast: error?.data?.message, error?.status, error?.isCancelled.
  • reset() — clears result and error back to null. Useful after the user acknowledges success or dismisses an error.

The hook does NOT auto-fire on mount. Actions only run when the Data App calls execute(...) explicitly.

Canonical usage — a form that creates a row

import { useAction } from "@metabase/embedding-sdk-react";
import {
  type ActionKindFromDataAppSchema,
  type ActionParametersFromDataAppSchema,
} from "@metabase/embedding-sdk-react/data-app";

import schema from "../metabase.data";

function AddPersonForm({ onCreated }: { onCreated: () => void }) {
  const { useState } = React;
  const { execute, isExecuting, error, reset } = useAction<
    ActionParametersFromDataAppSchema<typeof schema.models.people.actions.create>,
    ActionKindFromDataAppSchema<typeof schema.models.people.actions.create>
  >(schema.models.people.actions.create.id);

  const [name, setName] = useState("");
  const [email, setEmail] = useState("");

  async function onSubmit(e: React.FormEvent) {
    e.preventDefault();
    try {
      await execute({ name, email });   // typed: keys match parameter slugs
      setName("");
      setEmail("");
      onCreated();                      // ← let the parent refresh dependent data
    } catch {
      // error is captured into hook state for render-time display
    }
  }

  return (
    <form onSubmit={onSubmit}>
      <input value={name} onChange={(e) => setName(e.target.value)} />
      <input value={email} onChange={(e) => setEmail(e.target.value)} />
      <button type="submit" disabled={isExecuting || !name || !email}>
        {isExecuting ? "Saving…" : "Add"}
      </button>
    </form>
  );
}

Showing the error message

When execute(...) fails, surface both error layers. The hook's error is typed ActionExecuteError | null — shape { status?, data: { message?, errors? }, isCancelled }. error.data.message is the whole-request failure. error.data.errors is a per-field validation map keyed by parameter slug ({ <slug>: <message> }), or {} for whole-request failures. Read both directly, no cast:

const fieldErrors = error?.data.errors ?? {};

{error ? (
  <pre style={{ whiteSpace: "pre-wrap", margin: 0 }}>
    {error.data.message ?? "Action failed."}
  </pre>
) : null}

{action.parameters.map((parameter) => {
  const fieldError = fieldErrors[parameter.slug];
  return (
    <label key={parameter.slug}>
      {parameter.displayName}
      <input
        aria-invalid={Boolean(fieldError)}
        style={{ borderColor: fieldError ? "#dc2626" : undefined }}
      />
      {fieldError ? <div role="alert">{fieldError}</div> : null}
    </label>
  );
})}

Use <pre> (or any element with white-space: pre-wrap) — the messages contain newlines that matter (driver errors include the SQL on its own line). A <span> collapses them into one wall of text.

Example: submitting a 9-character value into a CHARACTER(2) column produces

Value too long for column "STATE CHARACTER(2)": "'dadasdasd' (9)";
SQL statement:
UPDATE "PUBLIC"."PEOPLE" SET … WHERE "PUBLIC"."PEOPLE"."ID" = 1 [22001-214]

That whole string is error.data.message. Render it as-is.

Don't:

  • Render "Failed" / "Something went wrong" / String(error) instead of error.data.message — the user loses the only fix-it info they have.
  • Render only error.data.message for validation failures — error.data.errors[parameter.slug] is often the actionable "which field and why" detail.
  • Paraphrase the message into a "friendlier" version. The raw H2/Postgres/SQL error is more actionable than any rewrite.

After an action runs — keeping the UI honest

When an action succeeds, the data the user sees may be stale. Without an explicit refresh, the list still shows the old rows; the stat tile still shows the old count; the row the user just edited still shows its old values. The action worked, but the UI lies — and there is no warning.

The rule is simple and absolute: after an action resolves successfully, every piece of data on the screen that the action could have changed must be refreshed.

Mapping parameters

Each parameters[] entry on a schema action exposes slug, displayName, jsType, and optionally required. The Data App's job:

  • Object keys in execute({ … }) match the parameter slug strings. Use them as literal string keys — the typed ActionParametersFromDataAppSchema<TAction> shape will reject typos at compile time, but only when the action arg is the schema entry (not a bare id).

  • Pick the right input type from jsType so the browser provides the correct UX and built-in coercion. The agent never invents the input type from the slug name (a slug called "phone" is still jsType: "string"type="text").

    jsTypeInput element
    "string"<input type="text" …>
    "number"<input type="number" …>
    "boolean"<input type="checkbox" …> (or a Mantine Switch/Checkbox)
    "Date"<input type="date" …> (or "datetime-local" if a time component is expected)
    "unknown"<input type="text" …> — best effort, coerce at the call site
  • Value types in execute({ … }) match jsType. A jsType: "number" parameter wants a number, not a string. With type="number" the input emits a number for .valueAsNumber, but <input>.value is still a string — coerce at the call site (Number(input)) if you're reading the latter.

  • required: true parameters cannot be omitted. Reflected in the TS type: required keys are required.

  • displayName is for labels; never use it as a key.

For implicit actions, the slugs match the model's column names (slugified). For custom SQL actions, slugs are whatever the action's author named the SQL parameters in Metabase. Either way, the schema is the source of truth.

Form-side validation — match the main app

The schema exposes parameter.required (and jsType for type coercion). That's the full validation contract today, matching Metabase's built-in action-execute form. No length checks, no min/max, no format checks — anything more granular comes back as a BE error after submit (see Showing the error message).

Schema is the ONLY source of truth. Read parameter.required and wire it — nothing else. Don't add required because a field is named "email", don't cap a "name" at 100 chars on a hunch, don't set type="email" from the slug. If the schema is silent, the field is unconstrained.

Disable the submit button while the form is invalid. Drive it from the browser's native verdict so required is the only rule in play:

const [isFormValid, setIsFormValid] = useState(false);
const onFormChange = (e: React.FormEvent<HTMLFormElement>) =>
  setIsFormValid(e.currentTarget.checkValidity());

<form onSubmit={...} onChange={onFormChange}>
  <input required={parameter.required} />
  <button type="submit" disabled={isExecuting || !isFormValid}>Create</button>
</form>

No hand-rolled !name || !email checks.

Debugging Checklist

When an action appears to succeed but the screen doesn't update, or a call fails with a 400:

  1. Log result, error, and isExecuting after await execute(...) to confirm the request actually went through and succeeded.
  2. Confirm useAction was called with schema.models.<model>.actions.<action>.id (the numeric id) AND the ActionParametersFromDataAppSchema<typeof …> generic — without the generic, execute won't type-check the parameters object and typos slip through.
  3. Log the object passed to execute({ ... }). Every key must match a parameter slug from schema.models.<model>.actions.<action>.parameters; every value must match its declared jsType.
  4. List every data view on the screen that reads from the mutated model. Confirm each one's data hook is mounted ABOVE the action trigger so its refresh callback can be passed down.
  5. Confirm the refresh callback is called AFTER await execute(...) AND that the refresh itself is awaited. When multiple refreshes apply, confirm they're awaited together (Promise.all).
  6. For implicit actions, confirm the right implicitKind matches what you intend (row/create vs row/update vs row/delete) — picking the wrong action publishes the wrong write.
  7. If the schema doesn't list an action you expect, the action isn't defined on the instance or the schema file is stale. Regenerate the schema.

Common Mistakes

  • Omitting the ActionParametersFromDataAppSchema<typeof schema.models.<model>.actions.<action>> generic on useAction. execute then accepts any Record<string, unknown> and typos like { wrongKey: 1 } slip through.
  • Forgetting to refresh after a successful action. The UI keeps rendering stale data with no error or warning.
  • Rendering "Failed" / "Something went wrong" / String(error) instead of the real backend message. Always extract error.data.message / error.data.errors (the diagnostic the user needs is in there) and render it verbatim — see Showing the error message.
  • Calling the refresh callback without awaiting it. The modal dismisses or the form clears before fresh data arrives, leaving the user staring at the stale view for a beat.
  • Loading data INSIDE the same component that triggers the action. The hook is below the trigger, so its refresh callback can't be wired up. Lift the data hook to a parent and hand its refresh callback down to the trigger.
  • Passing raw <input> strings as parameter values when the slug's jsType is "number" or "boolean". Coerce at the call site.
  • Letting the trigger fire while a previous request is in flight. Drive disabled={isExecuting} from the hook.
  • Prepending the action's result directly to a local list to skip the refresh. Server-filled defaults (auto-IDs, timestamps, computed columns, derived join columns) diverge from any client-side guess.
  • Inventing an action because the user asked for behavior the instance doesn't expose. The schema is the catalog of what exists; surface the gap, don't fake the call.
  • Reaching for fetch("/api/action/...") directly. The sandbox blocks raw network calls to the Metabase origin (raw fetch/XHR work only for external allowed_hosts declared in data_app.yaml); the only path to actions is useAction.

Frequently asked questions about Metabase Data App Actions

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