Higgsfield Websites

Higgsfield AIOfficialPublished by Higgsfield AI

Skill
Workflow
Software development
MIT
Medium risk
Has scripts

From the author

Build, edit, and deploy full-stack websites, apps and games via the Higgsfield CLI (`higgsfield website …`). Each is a React 19 + TanStack Start SSR app in one Cloudflare Worker (D1/R2/KV/DO/Containers). THREE product types, picked via `--type` on create: `website` (standalone, no Higgsfield integration — references/website-flow.md), `app` (Sign in with Higgsfield + fnf SDK, Quanta — references/app-flow.md), `game` (realtime multiplayer rooms — references/game-flow.md). Routes to the right flow; each carries its own rules and deploy/publish gates. Use when: "build me a website", "make a landing page", "create a web app", "build a SaaS dashboard / portfolio", "make me a game", "deploy this site", "publish". Also owns GAME ART: "make a spritesheet", "tileable texture", "animate a 3D character", game music/SFX — see the game-* references. NOT for: single image/video/audio generation (higgsfield-generate), product photos (higgsfield-product-photoshoot), marketplace cards (higgsfield-marketplace-cards).

— the description by Higgsfield AI

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The Higgsfield website builder is a comprehensive CLI tool for managing the full lifecycle of web projects. It supports three distinct product types: standalone websites, Higgsfield-integrated apps, and multiplayer browser games. Each project is built as a React 19 and TanStack Start SSR application deployed to a single Cloudflare Worker. The skill enforces strict design and architectural patterns, including the use of the Quanta design system for apps and specific flow-based pipelines for websites and games. It handles everything from project creation and asset generation to deployment and community feed publishing.

What it does

Scaffolds full-stack React 19 and TanStack Start applications via CLI.
Manages deployment to Cloudflare Workers with integrated D1, R2, KV, and DO support.
Provides specialized workflows for standalone websites, integrated apps, and multiplayer games.
Automates the creation of branded launch covers and metadata for feed-ready projects.
Integrates Higgsfield AI services for app-specific generation and authentication.
Handles game-specific logic, real-time multiplayer rooms, and procedural asset generation.

When to use it

When you need to build a landing page, portfolio, or marketing site.
When creating a SaaS dashboard or web application integrated with Higgsfield services.
When developing a browser-based multiplayer or single-player game.
When you need to deploy or publish a web project to the Higgsfield community feed.

Advantages

Unified CLI workflow for the entire development and deployment lifecycle.
Consistent architecture using React 19 and TanStack Start on Cloudflare Workers.
Enforced design consistency through the Quanta design system for apps.
Built-in support for AI-generated assets and branded launch covers.
Streamlined deployment process with automated metadata and feed integration.

Usage examples

“Build me a new landing page for my portfolio.”: The agent will initiate the website creation flow, ask for the preferred animation style, and scaffold a standalone website project.
“Create a SaaS dashboard that uses Higgsfield for image generation.”: The agent will set up an app-type project, integrating the Quanta design system and the fnf SDK for authentication and generation.
“Make me a multiplayer arcade game.”: The agent will scaffold a game project with the arcade category, setting up the required logic structure for real-time multiplayer rooms.
“Deploy my site and publish it to the community feed.”: The agent will execute the deployment pipeline, ensure metadata and covers are generated, and list the project on the community marketplace.

Install

Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/higgsfield-ai/higgsfield-websites/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip higgsfield-websites.zip -d .agents/skills

Documentation by Higgsfield AI

Higgsfield website builder (CLI) — three product types, three flows

You drive the whole lifecycle through the Higgsfield CLI (higgsfield website …), then edit code on the local filesystem with git + bun. You are building ONE per-website Cloudflare Worker: a React 19 + TanStack Start app, server-rendered (SSR), deployed as a single Worker at the product's own subdomain. The project lives in app/ — run every bun/build command from there.

The three types — and the REQUIRED `--type` on create

higgsfield website create requires --type, and it is the USER'S choice — when the request doesn't make it obvious, ask the user before creating (one question, up front):

--type website — a standalone product with NO Higgsfield integration and NO AI generation of any kind (no image/video/audio/text generation — not via Higgsfield, and not via some other provider): no "Sign in with Higgsfield", no requests to Higgsfield, no fnf SDK. Every website gets a fully independent brand: own palette, type, and chrome from a design brief, custom Tailwind/CSS only — never import @higgsfield/quanta/* or use q-prefixed tokens anywhere, and no "Powered by / Built on Higgsfield" badges or mentions in page content. The user's brand is the only brand on the page.
```
higgsfield website create --type website
```
--type app — a product tightly integrated with Higgsfield: its users Sign in with Higgsfield and generate images/videos through the fnf SDK (the full auth + D1 contract applies). An app must look and feel like a Higgsfield product: UI built with Quanta (references/quanta-design.md) — and, for anything Quanta lacks, your own component built from Quanta primitives (never a third-party UI library) — starting from a standard app layout (references/app-layouts.md). Quanta and the app layouts are app-only — never applied to a --type website build. The independent-brand rule and the wow pipeline (design-taste-frontend, boards, wow catalog) are the website path; apps never get a custom brand — Quanta is the brand.
```
higgsfield website create --type app
```
--type game — a browser game: realtime multiplayer rooms on the game template, where the game itself is six pure functions in app/src/logic.js and the platform already owns sockets, rooms and persistence. Requires a game genre as --category (arcade, puzzle, shooter, …, from higgsfield website categories) and takes no --template — a game scaffolds from the only template it can use. Single-player counts: set minPlayers: 1. See references/game-flow.md.
```
higgsfield website create --type game --category arcade
```

Generation is ALWAYS an app. Any product that generates images, video, audio, or other AI media runs on Higgsfield — build it as --type app (Sign in with Higgsfield, generation on the user's Higgsfield credits). NEVER offer the user an option to "bring your own image/video API" or plug in their own generation key for a website — that path does not exist. --type website is ONLY for sites with no generation and no tie to Higgsfield or any other generation service. (A website may still use ordinary non-generation third-party APIs — payments, maps, email — with the user's own keys; that is unrelated to this rule.)

Quick tells: "landing page / portfolio / marketing site / SaaS with its own users, no AI generation" → website. "generates images/video/audio, or anything with Higgsfield models, credits, or generation history" → app. "something you play — a game, multiplayer or single-player" → game.

Games moved onto this pipeline from a separate engine that is being retired. The higgsfield game … commands are gone: a game is created, deployed and published exactly like a website. Any doc saying otherwise is out of date.

Always set a subdomain on create

higgsfield website create takes an optional --subdomain — it becomes the site's slug, so the live URL is <subdomain>.<host>. Always set it: pick one from the product's name or purpose; only omit it (which yields a random slug) if the user explicitly wants a random one. Rules for a good subdomain:

More than 4 characters — short single words are reserved, so go a bit longer.
Memorable — derive it from the product name/purpose (e.g. lumen-notes, pixelforge), not a random string.
Allowed characters only — lowercase letters, digits, and single hyphens (DNS-safe). No spaces, underscores, uppercase, or leading/trailing hyphens.

A few reserved labels (e.g. api, www, app) and already-taken subdomains are rejected — if that happens, try a close variant.

Prerequisites

If higgsfield is not on $PATH, install it:

curl -fsSL https://raw.githubusercontent.com/higgsfield-ai/cli/main/install.sh | sh

If higgsfield account status reports Session expired / Not authenticated, ask the user to run higgsfield auth login (interactive) and wait for confirmation.
git and bun are used locally once you clone the repo. The CLI itself handles create / repo / deploy / publish / status / db / secrets — and the asset generation jobs (higgsfield generate …, higgsfield model …).

Pick the path, then follow ONE flow end-to-end

Resolve the --type (ask the user if unclear — it's their choice). In the SAME first question, also ask whether they want to publish it to the Higgsfield community feed (marketplace) when it's ready (yes/no). Remember the answer: if yes, publish automatically at the end (after deploy + metadata), no need to ask again; if no, only deploy. Don't block the build on it.
Read the matching flow and follow it — it is the complete workflow for that type, including its own references, hard rules, editing map, and deploy/publish gates:

For every --type website build the intake ALWAYS asks the user to choose between an Animated (recommended) website — a scroll-driven journey through a generated film (references/scroll-scrub.md) — and a Non-animated one. This question is mandatory: never skip it, even when the request seems to imply a choice. Animated is the recommended default (used only when the user is unreachable / doesn't answer); the flow below carries both paths and the full pipeline.

Inside the animated path the default is a single-shot film — ONE continuous ~15s take, scrubbed end to end, no seams. The multi-scene chain is opt-in and costs several extra minutes per leg; take it only when the brief genuinely travels between distinct worlds. references/scroll-scrub.md owns that call.

Type	Flow
`--type website`	`references/website-flow.md` — phased pipeline (animated website by default): intake → concept → reference boards → asset system → build-to-boards → motion → cover + metadata → mechanical gate → deploy
`--type app`	`references/app-flow.md` — the Quanta toolkit, the six code layouts, fnf SDK + auth + D1 contract, launch cover + metadata, publish gate
`--type game`	`references/game-flow.md` — the six-function `logic.js` contract, realtime rooms, a game-genre `--category`, play-testing, deploy + publish

A game's ART and AUDIO live here too, under the game- prefix, and references/game-flow.md indexes them: references/game-design-system.md (read first — profile, core loop, asset manifest), references/game-stylization.md (the STYLE FORMULA every visual reuses), references/game-2d-animation.md, references/game-textures.md, references/game-3d-animation.md, references/game-procedural-animation.md, references/game-audio.md, references/game-meshy-api.md and references/game-meshy-input-rules.md. The GLB/rigging/texture tooling they drive ships in this skill's scripts/.

All three flows share the same platform mechanics (SSR Worker, app.manifest.json infra, a single live deploy via higgsfield website deploy <website_id>, the cover + metadata requirement below, and the publish gate) — each flow restates what it needs, so you never have to read another.

Cover + metadata — ALWAYS part of building, never publish-only

Every build — website or app, no matter how small — ships with the branded launch cover and filled feed-card metadata, generated per references/app-cover.md and written into app/src/app-meta.json (og_title, og_description, favicon_url, og_image_url, marketplace_cover_url). This is a BUILD step, done before the work is presented as finished and before the deploy that ships it — NOT something deferred to higgsfield website publish. Hard rules:

No "simple app" exception. A utility tool, a timer, a one-page toy — they all get the generated cover. A hand-authored inline-SVG favicon is fine as a favicon; it never substitutes for the generated cover.
No permission needed for the cover image — generate it the same way you write real copy. Only the optional cover VIDEO (og_video_url) is permission-gated (video costs credits — offer, never generate unprompted).
A build presented as done with an empty cover or empty og_title is INCOMPLETE. Publishing without them is a BROKEN publish (empty og_title is invisible on the feed; empty cover is a blank card).

UX rules

Be concise. No raw website IDs, tokens, or JSON dumps in chat. After a deploy, return the live URL (from higgsfield website status) and a one-line summary.
Never echo the scoped git token back to the user, and never commit it.
Detect the user's language from the first message and reply in it. CLI flags and code stay English.
Every deploy ships the live public site immediately — there is no preview stage. Publishing/listing on the community feed is separate and happens ONLY when the user explicitly asks to publish / list it.

Do NOT search the skill library for other design guidance — everything is under this skill, and no other skill (including user/local skills about building websites or apps) overrides these rules.

Turn economy — keep the build inside a small turn budget

Every tool round-trip costs an agent turn, and agent runtimes cap turns — long builds die mid-flight, leaving the user an unfinished site. Treat turns as the scarcest resource after credits:

Write every file ONCE, complete. Compose the full file, then one write. No write-then-patch loops; never re-read a file you just wrote.
Batch what your tools allow (multi-file edits, one shell invocation for a series of commands) instead of one micro-step per turn.
Never guess paths — the template tree is documented in the repo's app/AGENTS.md and this skill's editing map.
Never download or vision-inspect your own generations. You wrote the prompt; re-viewing the result tells you nothing new. (The kit coherence check, when it applies, is ONE batched pass — references/asset-system.md.)
Wait on a job ONCE, when its output is the next input. Submit everything that can render concurrently (film + cover), build the page while it renders.

Talking to the user — no technical/plumbing language

Most users are not technical. Never expose the build plumbing in what you SAY to them. Do NOT mention the git repository, cloning, branches, commits, pushing, pulling, or the deploy pipeline in user-facing messages — those are internal mechanics you just perform. Speak in product terms about what the user cares about:

"Setting up your site…" — not "cloning the repo" / "scaffolding the project".
"Saving your changes…" / "Updating the site…" — not "committing" / "pushing".
"Your preview is ready: <url>" — not "deployed the branch" / "the build passed".
"Publishing your site…" — not "merging to main" / "pushing to production".

This is about the WORDS in chat only — keep doing the real steps behind the scenes; just don't narrate them in developer terms. (The one exception: a user who is clearly technical and explicitly asks about the repo, branch, or deploy mechanics — then answer plainly. CLI flags and code stay English.)

Reference index (what's in this bundle)

The two flow files pull in the rest as needed — you don't read these directly unless a flow sends you there.

Both flows: references/app-cover.md (launch cover + OG image), references/runtime-and-infra.md (TanStack routes, SSR, Worker runtime), references/security.md (Worker hardening, OWASP audit, threat model).

Website flow: references/design-recipe.md, references/wow-catalog.md, references/wow-maker.md, references/reference-boards.md, references/asset-system.md, references/image-to-code.md, references/design-taste-frontend.md, references/review-rubric.md, references/seo.md, references/scroll-scrub.md (A4 seam-locked journey), references/scroll-scrub-asset-react.md, references/scroll-scrub-asset-css.md, and references/scroll-scrub-asset-video.md (bundled Markdown code assets loaded only when A4 is selected).

App flow: references/app-quickstart.md (START HERE — the working critical path: auth, generation submit/poll, result rendering, common Quanta components), references/quanta-design.md, references/app-layouts.md, references/fnf-sdk.md, references/fnf-react.md, references/auth.md, references/containers.md, references/cover-animator.md (permission-gated ~5s cover video → og_video_url), references/contest.md (the $100k app contest — the entry auto-publishes the app; submit with social links).

Files

ATTRIBUTION.mdAdded by AutoGineer878 B
LICENSELicence file added by AutoGineer1.0 KiB
SKILL.md14.6 KiB
references/app-cover.md31.4 KiB
references/app-flow.md25.0 KiB
references/app-layouts.md11.9 KiB
references/app-quickstart.md11.5 KiB
references/asset-system.md13.3 KiB
references/auth.md14.2 KiB
references/containers.md15.8 KiB
references/contest.md4.5 KiB
references/cover-animator.md4.6 KiB
references/design-recipe.md10.6 KiB
references/design-taste-frontend.md85.6 KiB
references/fnf-react.md12.7 KiB
references/fnf-sdk.md35.2 KiB
references/game-2d-animation.md17.6 KiB
references/game-3d-animation.md13.6 KiB
references/game-audio.md3.3 KiB
references/game-design-system.md15.8 KiB
references/game-flow.md5.0 KiB
references/game-meshy-api.md7.9 KiB
references/game-meshy-input-rules.md4.5 KiB
references/game-procedural-animation.md6.0 KiB
references/game-stylization.md12.4 KiB
references/game-textures.md12.0 KiB
references/image-to-code.md6.4 KiB
references/quanta-design.md34.0 KiB
references/reference-boards.md6.5 KiB
references/review-rubric.md8.5 KiB
references/runtime-and-infra.md10.4 KiB
references/scroll-scrub-asset-css.md5.6 KiB
references/scroll-scrub-asset-react.md20.4 KiB
references/scroll-scrub-asset-video.md2.0 KiB
references/scroll-scrub.md19.9 KiB
references/security.md37.4 KiB
references/seo.md35.8 KiB
references/website-flow.md30.1 KiB
references/wow-catalog.md7.6 KiB
references/wow-maker.md21.7 KiB
scripts/fbx2glb.pyScript6.0 KiB
scripts/glb_inspect.pyScript4.7 KiB
scripts/glb_merge_anims.pyScript8.0 KiB
scripts/glb_patch.pyScript2.7 KiB
scripts/merge_anim_glbs.pyScript5.9 KiB
scripts/pipeline.pyScript11.6 KiB
scripts/proc_anim_dragon.pyScript6.5 KiB
scripts/proc_rig_dragon.pyScript4.8 KiB
scripts/proc_weights.pyScript2.7 KiB
scripts/rig_transfer.pyScript8.1 KiB
scripts/seamless.pyScript2.5 KiB

references/containers.md

Containers — heavy & long-running work

Use a container when the work can't run in a Worker: ffmpeg/video, a headless browser, image processing, a long (minutes-to-hours) job, or any CPU/memory-heavy task. A container is a Docker image that runs alongside your Worker, fronted by a Durable Object. It's off by default — opt in only when you need it.

Don't reach for a container for ordinary backend logic — use server functions / server routes (see references/runtime-and-infra.md). Containers cost compute while running; they sleep when idle.

The shape (what the platform fixes vs what you write)

The platform fixes the names so you can't mis-wire them:

Durable Object class AppContainer, binding env.CONTAINER, one instance type, max_instances: 1.

max_instances: 1 means there is exactly ONE container instance for the whole website. Design for a single shared container that serves every job (route to it by a STABLE name, track per-job state inside the container) — NOT one container per job, and NOT a pool. getByName(jobId) is wrong here: each distinct name wants its own instance, and only one is allowed.

You write these: 0. add the dep (not in the base template): cd app && bun add @cloudflare/containers.

app/app.manifest.json → opt in.
app/container/Dockerfile (+ its server) → the image, listening on a port.
export class AppContainer extends Container in app/src/server.ts.

1. Opt in — `app/app.manifest.json`

{
  "container": { "instanceType": "standard-2", "port": 8080, "sleepAfter": "5m" }
}
// or just  "container": true  for the defaults above

port must match the port your container server listens on. sleepAfter is the idle shutdown — active jobs keep themselves alive (see §4).

2. The image — `app/container/Dockerfile`

Keep it in its own folder (app/container/) so it's clearly the container's image, not the website. It must run an HTTP server on the port from the manifest:

# app/container/Dockerfile  (example: ffmpeg + a tiny Node server)
FROM node:20-slim
RUN apt-get update && apt-get install -y ffmpeg && rm -rf /var/lib/apt/lists/*
WORKDIR /srv
COPY server.mjs .
EXPOSE 8080
CMD ["node", "server.mjs"]

app/container/server.mjs accepts a job, does the heavy work in the background (returns 202 immediately), and exposes a per-job GET /status?jobId=…. Because ONE container serves all jobs, state is keyed per job — never a single global:

import http from "node:http";

// ONE shared container serves ALL jobs → state MUST be per-job, not global.
const jobs = new Map(); // jobId -> { status, progress, outputKey, error }

http.createServer(async (req, res) => {
  const url = new URL(req.url, "http://c");

  if (req.method === "POST" && url.pathname === "/start") {
    const job = await readJson(req);                 // { jobId, containerToken, appBaseUrl, ... }
    // Idempotent: the DO may re-send /start while the container is booting.
    if (jobs.get(job.jobId)?.status === "running") { res.writeHead(202).end("running"); return; }
    jobs.set(job.jobId, { status: "running", progress: 0, outputKey: null, error: null });
    res.writeHead(202).end("started");               // return FAST — work runs detached
    runJob(job).catch((e) =>
      jobs.set(job.jobId, { ...jobs.get(job.jobId), status: "error", error: String(e) }));
    return;
  }

  if (url.pathname === "/status") {
    const jobId = url.searchParams.get("jobId");
    // Unknown jobId → "unknown" so the DO knows to (re)send /start (it may have
    // booted fresh, or slept and lost this job from the Map).
    const state = jobs.get(jobId) ?? { status: "unknown" };
    res.writeHead(200, { "content-type": "application/json" }).end(JSON.stringify(state));
    return;
  }
  res.writeHead(404).end();
}).listen(8080, () => console.log("[CTR] listening on 8080"));

async function runJob(job) {
  // ... run ffmpeg, etc. (can take many minutes) ...
  // If you need Higgsfield data, call YOUR app (NOT fnf directly) with the token:
  //   await fetch(`${job.appBaseUrl}/api/whatever`,
  //     { headers: { Authorization: `Bearer ${job.containerToken}` } });
  jobs.set(job.jobId, { ...jobs.get(job.jobId), status: "done", progress: 100,
                        outputKey: `jobs/${job.jobId}/out.mp4` });
}

The container disk is ephemeral (gone on restart). Durable state lives in D1/R2 via the Worker — never rely on files in the container.

3. The Durable Object — `app/src/server.ts` (the boot is the tricky part)

Export a class named exactly AppContainer. Before the code, the two lessons that decide whether a container website works at all:

The cold boot takes far longer than a few seconds (image pull + process start — easily 20–60s for a heavy image). Never abort it. A short AbortController/timeout on the first containerFetch cancels the cold start → the runtime returns Failed to start container: Container request aborted → the job sticks at "starting" forever.
Never block a DO alarm on the boot either. An alarm (schedule/tick) has a tight wall-time budget; a containerFetch that blocks on a cold boot gets the invocation killed (exceededWallTime) before it can re-arm.

So: boot patiently in the background (ctx.waitUntil, generous timeout) from the kickoff REQUEST, and make tick a pure monitor that touches the container only once it's actually running.

import { Container } from "@cloudflare/containers";
import { bindings } from "./lib/bindings.server";

const MAX_JOB_MS = 3 * 60 * 60 * 1000; // 3h hard deadline (crash/hang backstop)
const BOOT_TIMEOUT_MS = 120_000;       // PATIENT cold-boot budget (background)
const POLL_TIMEOUT_MS = 6_000;         // fast health-check ONCE the container is up

export class AppContainer extends Container {
  defaultPort = 8080;  // must match the manifest port + the container server
  sleepAfter = "5m";   // idle shutdown; an ACTIVE job renews this (below)

  private booting = false; // one boot in flight at a time (shared across jobs)

  // ctx.waitUntil — the Container base doesn't surface ctx, so cast.
  private bg(p: Promise<unknown>) { (this as any).ctx.waitUntil(p); }

  // Is the container process up? A PURE read of the raw flag — it never triggers
  // a start (unlike containerFetch, which auto-starts and, if aborted mid-boot,
  // yields "Failed to start container: request aborted").
  private running(): boolean { return Boolean((this as any).ctx?.container?.running); }

  // Boot PATIENTLY and deliver POST /start. MUST run via this.bg(...) — never
  // awaited in an alarm — so the long cold boot blocks nothing AND is never
  // aborted. A SHORT timeout here is the #1 way to get stuck at "starting".
  private async bootAndStart(job: any) {
    try {
      await this.containerFetch("http://c/start", {
        method: "POST",
        headers: { "content-type": "application/json" },
        body: JSON.stringify(job),
        signal: AbortSignal.timeout(BOOT_TIMEOUT_MS), // generous, NOT 6s
      });
    } catch (e) { console.log(`[DO] bootAndStart ${job.jobId} THREW ${e}`); }
  }

  // Kickoff hands the full job here. Boot in the background; start the monitor.
  override async fetch(req: Request): Promise<Response> {
    const url = new URL(req.url);
    if (req.method === "POST" && url.pathname === "/__keepalive/start") {
      const job = await req.json();
      this.booting = true;
      this.bg(this.bootAndStart(job).finally(() => (this.booting = false)));
      this.schedule(1, "tick", { job, startedAt: Date.now() }); // monitor loop
      return Response.json({ ok: true });
    }
    return super.fetch(req); // your normal SSR / routes
  }

  // Monitor + recovery — one loop per job. Talks to the container ONLY when it's
  // running, so it never aborts the in-flight boot.
  async tick(p: { job: any; startedAt: number }) {
    const env = bindings();
    const { jobId } = p.job;

    if (Date.now() - p.startedAt > MAX_JOB_MS) {       // crash/hang backstop
      await env.DB?.prepare("UPDATE jobs SET status='timed_out' WHERE id=? AND status!='done'").bind(jobId).run();
      await this.stopIfIdle();                         // do NOT destroy() — siblings share this container
      return;
    }
    // Already finished? stop looping (a stale tick must not pin the container).
    const row = await env.DB?.prepare("SELECT status FROM jobs WHERE id=?").bind(jobId).first<{ status: string }>();
    if (!row || ["done", "error", "timed_out"].includes(row.status)) { await this.stopIfIdle(); return; }

    this.renewActivityTimeout();                       // an active job keeps it alive

    // Not up yet → kick ONE patient background boot + re-arm. NEVER poll a
    // not-running container: containerFetch would auto-start it and this poll's
    // timeout would abort the cold boot.
    if (!this.running()) {
      if (!this.booting) { this.booting = true; this.bg(this.bootAndStart(p.job).finally(() => (this.booting = false))); }
      this.schedule(3, "tick", p);
      return;
    }

    // Up → poll THIS job's status (fast; the port is open).
    let s: any = null;
    try {
      const r = await this.containerFetch(`http://c/status?jobId=${jobId}`, { signal: AbortSignal.timeout(POLL_TIMEOUT_MS) });
      const body = await r.text();
      if (r.ok && body.trimStart().startsWith("{")) s = JSON.parse(body);
      else console.log(`[DO] status non-json http=${r.status} ${body.slice(0, 200)}`); // surfaces runtime errors verbatim
    } catch (e) { console.log(`[DO] status unreachable ${e}`); }

    if (!s) { this.schedule(3, "tick", p); return; }   // booting/race → retry soon

    if (s.status === "unknown") {                      // up but lost this job → re-send /start
      this.bg(this.bootAndStart(p.job));
      this.schedule(3, "tick", p);
      return;
    }

    // Mirror progress to D1; finish on done/error.
    await env.DB?.prepare("UPDATE jobs SET status=?, output=COALESCE(?, output) WHERE id=? AND status!='done'")
      .bind(s.status, s.outputKey ?? null, jobId).run();
    if (s.status === "done" || s.status === "error") { await this.stopIfIdle(); return; }
    this.schedule(5, "tick", p);                       // re-arm (~5s)
  }

  // Stop the SHARED container ONLY when no job is still active (stopping it
  // mid-job would kill siblings). D1 is the source of truth.
  private async stopIfIdle() {
    const env = bindings();
    const row = await env.DB?.prepare("SELECT COUNT(*) AS n FROM jobs WHERE status IN ('queued','running')").first<{ n: number }>();
    if (!row || row.n === 0) await this.stop().catch(() => {});
  }
}

// ... your normal default `export default { fetch }` SSR handler stays below ...

Don't override the Durable Object alarm() — Container uses it internally; use schedule() for periodic work.

4. Long jobs — never block a request; keep it alive; have a deadline

Kickoff returns fast. The browser hits your website; you write the job row, hand it to the DO, and return a jobId in milliseconds — you do NOT hold the request for the boot or the job.
One shared container. Route to the DO by a stable name so every job lands on the single allowed instance; the DO boots it once and monitors per job.
Persist + poll. Write a jobs row to D1 (status=running); the browser polls a cheap GET /api/jobs/:id every few seconds (not one long connection).
Keep-alive. While any job runs, tick calls renewActivityTimeout(). sleepAfter only kills a TRULY idle container.
Deadline. The 3h cap stops renewing a hung/crashed container so it can't bill forever.

Kickoff + status routes (TanStack server routes):

// POST /api/jobs — start a job (returns immediately)
const jobId = crypto.randomUUID();
await env.DB.prepare("INSERT INTO jobs (id, status) VALUES (?, 'running')").bind(jobId).run();

// ONE shared container for the whole app → route by a STABLE name, not jobId.
const stub = env.CONTAINER.getByName("app");
await stub.fetch(new Request("https://do/__keepalive/start", {   // the DO route, not the container
  method: "POST",
  body: JSON.stringify({
    jobId,
    containerToken,                                  // from x-hf-container-token (see §5)
    appBaseUrl: new URL(request.url).origin,
    /* ...your job spec... */
  }),
}));
return Response.json({ jobId });

// GET /api/jobs/:id — cheap status the browser polls
const row = await env.DB.prepare("SELECT status, output FROM jobs WHERE id=?").bind(id).first();
return Response.json(row);

5. Calling Higgsfield (fnf) from the container — the container token

A background container has no signed-in viewer, so it can't call fnf directly. Instead it calls your website's own API as the viewer, using a short-lived container token. The flow:

Browser, at kickoff — mint a token (same-origin; the platform handles it):

const { token } = await fetch("/__auth/container-token", { method: "POST" }).then(r => r.json());
await fetch("/api/jobs", { method: "POST", body: form, headers: { "x-hf-container-token": token } });

Your website reads x-hf-container-token and passes it to the container at /start (as containerToken above).

The container, when it needs fnf, calls your website (not fnf):

await fetch(`${appBaseUrl}/api/generate`, {
  method: "POST",
  headers: { Authorization: `Bearer ${containerToken}` },
  body: JSON.stringify({ ... }),
});

Your /api/generate route calls fnf the normal way (server-side, via the fnf SDK / https://fnf.internal/*) — the platform injects the viewer's credentials automatically. You write nothing special; it works because the platform resolved the viewer from the container token.

Do NOT forward the container token to fnf. Your website calls fnf.internal with no auth header — the platform stamps in the viewer's real creds. The container token is ONLY for the container→your-website hop.

The token is scoped to one user + one website and expires in 3h. The container never holds a real Higgsfield/Cloudflare credential.

6. Results & big files

Small results / status → the DO writes D1 (it has env.DB).
Big outputs (a video) → write to R2 (declare "r2": true); the container reports only the key, and your website/DO records it in D1. Don't pass big blobs through HTTP bodies.

Gotchas (read before shipping)

Cold-boot abort (#1 cause of "stuck at starting") — the first containerFetch triggers the cold boot and waits for the port; a short timeout/abort cancels the boot → Failed to start container: Container request aborted. Boot patiently in the background (ctx.waitUntil, generous timeout); only the monitor polls (with a short timeout) once the container is running.
Don't block the alarm on the boot — a tick that awaits a cold boot is killed (exceededWallTime). Kick the boot via ctx.waitUntil and re-arm.
Idle-kill — a busy-but-no-requests container sleeps unless you renewActivityTimeout() (the tick loop). Easy to forget.
Ephemeral disk — container files vanish on restart; persist via D1/R2.
ONE shared instance — max_instances is 1. Route by a stable name and track per-job state in the container (a Map); never getByName(jobId) or a pool, and never destroy()/stop() the container while a sibling job runs.
Cold start — the first request after idle takes tens of seconds to boot; show a "starting…" state and let the monitor converge.
port must match the manifest, the Dockerfile EXPOSE/listen, and defaultPort in AppContainer.
Don't call fnf from the container directly — always go through your website's API with the container token (§5), and your website calls fnf.internal with no token.

Requirements and compatibility

Written for: Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools, Claude Code frontmatter, Needs network access, Needs Python

Security

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Attribution and licence

Published by

Higgsfield AI

Publisher

Higgsfield AI (Official)

Source

higgsfield-ai/skills · higgsfield-websites · commit 2700040

Licence

MIT License (redistribution allowed)

LICENSE (added by AutoGineer from LICENSE)
ATTRIBUTION.md (written by AutoGineer)

Synced

2026-11-08

AutoGineer is not affiliated with or endorsed by Higgsfield AI.

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The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download higgsfield-websites.zip