Files
windmill/system_prompts/languages/bun.md
hugocasa 5bdc4f83ce feat(cli): improve agent prompts/skills and workspace fork workflow (#9531)
* feat(cli): improve agent prompts/skills and workspace fork workflow

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(cli): refuse fork --from-branch rename of a base branch

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* refactor(cli): auto-detect fork branch workflow, drop rt.d.ts refresh and legacy-name warning

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(skills): reconcile raw-app generate-metadata stance (agent offers+runs)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* docs(skills): agent runs all CLI commands, gated on intent not on user typing them

Extends #9467's safe-vs-destructive model: the agent runs consequential commands (sync push, generate-metadata) itself too, gated on explicit user intent rather than handed to the user to type. The explicit-intent rule is the safeguard; an approval prompt is treated as a possible backstop, not assumed (auto-approve/headless runs have none).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* Revert "docs(skills): agent runs all CLI commands, gated on intent not on user typing them"

Reverts 9225e1759b. That commit over-reached: #9467 already established the safe-vs-destructive split, and the targeted item-6 fix already removed the passive "tell the user they can run <safe next step>" phrasing. The blanket "agent runs everything" principle pushed deploys to be more eager and carried a wrong "permission layer prompts for approval" claim (untrue in auto-approve/headless mode). Keep deploys conservative.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* feat(cli): default fork workspace name/id to the current branch when renaming it

When 'wmill workspace fork' converts the current working branch into the fork branch, default the fork's name and id to that branch (sanitized to a slug, since branch names can contain '/'). Interactive: the prompt is pre-filled (enter to accept); non-interactive (--yes): used automatically. Adds a unit test for the slug derivation.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

* fix(cli): address fork review — guard fork-branch rename, cap+validate fork id

Two P2s from review:
- --from-branch refused when the current branch is already a fork branch (would detach the existing fork by renaming its branch).
- fork id slug capped to 42 chars (backend max 50 incl. wm-fork- prefix); auto-derived id is slugged; full id validated client-side before existsWorkspace/datatable cloning so an invalid id fails fast instead of leaving cloned Postgres databases behind.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-12 00:16:16 +02:00

3.9 KiB

TypeScript (Bun)

Bun runtime with full npm ecosystem and fastest execution.

Structure

Export a single async function called main:

export async function main(param1: string, param2: number) {
  // Your code here
  return { result: param1, count: param2 };
}

Do not call the main function. Libraries are installed automatically.

Resource Types

On Windmill, credentials and configuration are stored in resources and passed as parameters to main.

Use the RT namespace for resource types:

export async function main(stripe: RT.Stripe) {
  // stripe contains API key and config from the resource
}

Only use resource types if you need them to satisfy the instructions. Always use the RT namespace.

Before using a resource type, check the rt.d.ts file in the project root to see all available resource types and their fields. This file is generated by wmill resource-type generate-namespace.

Imports

import Stripe from "stripe";
import { someFunction } from "some-package";

Prefer //native when the runtime allows it

If a script only needs fetch and the JavaScript standard library — including when it uses windmill-client — prefer making it a native script: add //native as the first line and write it with the write-script-bunnative skill. Native scripts run on a lightweight V8 isolate, start faster, and parallelize heavily. windmill-client works on the native worker (its calls go over fetch), so needing the Windmill client is not a reason to avoid //native. Use the regular bun language only when the code (or a dependency) needs Node/Bun runtime APIs — node:* modules, the filesystem, child processes, or native addons.

Windmill Client

Import the windmill client for platform interactions:

import * as wmill from "windmill-client";

Prefer windmill-client over raw fetch for anything that talks to Windmill — reading resources/variables/states, running scripts and flows, S3 object operations, etc. It handles auth, the workspace, and the base URL for you, so you don't hand-roll URLs or tokens. Reserve fetch for calling external HTTP APIs that aren't Windmill.

The full windmill-client API reference (every exported function and its signature) is included in this skill below — consult it for the exact method to use instead of guessing or falling back to fetch.

Preprocessor Scripts

For preprocessor scripts, the function should be named preprocessor and receives an event parameter:

type Event = {
  kind:
    | "webhook"
    | "http"
    | "websocket"
    | "kafka"
    | "email"
    | "nats"
    | "postgres"
    | "sqs"
    | "mqtt"
    | "gcp";
  body: any;
  headers: Record<string, string>;
  query: Record<string, string>;
};

export async function preprocessor(event: Event) {
  return {
    param1: event.body.field1,
    param2: event.query.id,
  };
}

S3 Object Operations

Windmill provides built-in support for S3-compatible storage operations. The wmill.S3Object type covers both the s3://storage/key URI form (s3:///key for the workspace default storage) and the { s3, storage? } record form — always use it instead of redefining your own.

Receiving an S3Object as a script parameter

import * as wmill from "windmill-client";

export async function main(file: wmill.S3Object) {
  const content = await wmill.loadS3File(file);
  // ...
}

S3 operations

import * as wmill from "windmill-client";

// Load file content from S3
const content: Uint8Array = await wmill.loadS3File(s3object);

// Load file as stream
const blob: Blob = await wmill.loadS3FileStream(s3object);

// Write file to S3
const result: wmill.S3Object = await wmill.writeS3File(
  s3object, // Target path (or undefined to auto-generate)
  fileContent, // string or Blob
  s3ResourcePath // Optional: specific S3 resource to use
);