/setup

name: setup
description: "One-time setup for image and video generation APIs. Run this before any creative production."
argument-hint: "[--image | --video | --fallback | --status | --reset]"
effort: low
user-invocable: true

/socialforge:setup — API Credential Configuration

One-time setup that stores credentials persistently. Run once, works forever across all sessions.

Context efficiency

Asset-heavy skill. **Grep before Read** the asset catalog (`${CLAUDE_PLUGIN_DATA}/socialforge/brands/<brand>/asset-index.json`) — never list the asset directory. Reference generated images / videos by path, not by loading metadata. Brand profile loads once per session.

What This Does

Configures two services that SocialForge needs for creative production:

1. **Google Cloud Vertex AI** (required for images) — Nano Banana 2 (Gemini 3.1 Flash Image) + Nano Banana Pro (Gemini 3 Pro Image) 2. **WaveSpeed** (required for video) — Kling v3.0 Pro for image-to-video

Prerequisites

Your admin provides you with:

• A **Google Cloud service account JSON file** (for image generation)
• A **WaveSpeed API key** (for video generation)

If you are the admin, see the Admin Setup section below.

How to Run

/socialforge:setup

Interactive Flow

Step 0: Install Dependencies (Automatic)

Run this first — installs all required Python packages:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/install_deps.py"

This auto-installs: google-genai (Vertex AI), wavespeed (Kling video), Pillow (compositing), imageio-ffmpeg (video post-processing), playwright (carousels).

If any package fails, show the manual install command and continue.

Step 1: Image Generation (Vertex AI)

Check if already configured:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/credential_manager.py" status

If not configured, ask:

Image Generation Setup (Google Cloud Vertex AI)

Do you have a Google Cloud service account JSON file?
  Provide the full file path (e.g., C:\Users\you\Downloads\socialforge-credentials.json)

Or type "skip" to configure later (image generation will not work).

When user provides the path:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/credential_manager.py" setup-vertex --json-path "<user-provided-path>"

Show the result. If success:

Image generation configured.
  Project: <project_id>
  Service Account: <email>
  Models available: gemini-3.1-flash-image (Nano Banana 2), gemini-3-pro-image (Nano Banana Pro)

Step 2: Video Generation (WaveSpeed)

Video Generation Setup (WaveSpeed / Kling v3.0)

Do you have a WaveSpeed API key?
  Paste the key here

Or type "skip" to configure later (video generation will not work).

When user provides the key:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/credential_manager.py" setup-wavespeed --api-key "<user-provided-key>"

Show the result. If success:

Video generation configured.
  Provider: WaveSpeed (Kling v3.0 Pro)
  Models: image-to-video, text-to-video (3-15 seconds)

Step 2.5: HiggsField (Optional Fallback)

HiggsField Setup (Optional — adds fallback resilience)

Do you have a HiggsField API key and secret?
  → Paste the API key, then the API secret

Or type "skip" (HiggsField is optional — Vertex AI and WaveSpeed are sufficient).

When user provides both:

python3 "${CLAUDE_PLUGIN_ROOT}/scripts/credential_manager.py" setup-higgsfield --api-key "<key>" --api-secret "<secret>"

Step 3: Summary

SocialForge API Setup Complete

  Image Generation: [configured / not configured]
    Provider: Google Cloud Vertex AI
    Project: <project_id>
    Models: Nano Banana 2 (Gemini 3.1 Flash Image), Nano Banana Pro (Gemini 3 Pro Image)

  Video Generation: [configured / not configured]
    Provider: WaveSpeed (Kling v3.0 Pro)
    Modes: image-to-video, text-to-video

  HiggsField: [configured / skipped]
    Provider: HiggsField (Soul v2 + Kling v2.1, fallback)

  Credentials stored persistently. No further setup needed.

  Next: /socialforge:brand-setup [brand-name] to configure your first brand.

Arguments

| Argument | Effect | |----------|--------| | (none) | Run full interactive setup | | `--image` | Configure image generation only (Vertex AI) | | `--video` | Configure video generation only (WaveSpeed) | | `--fallback` | Configure HiggsField fallback only | | `--status` | Show current configuration status | | `--reset` | Remove all stored credentials and start fresh |

Admin Setup Guide

If you are setting up the cloud accounts for your team, follow these detailed guides.

Google Cloud (Vertex AI — Image Generation)

Step 1: Create a Google Cloud Project

1. Open https://console.cloud.google.com/ 2. If you don't have an account, click "Get started for free" and follow registration 3. Click the project dropdown at the top of the page (next to "Google Cloud") 4. Click "NEW PROJECT" 5. Enter a project name (e.g., "socialforge-production") 6. Click "CREATE" 7. Wait for the project to be created (30 seconds), then select it from the dropdown

Step 2: Enable Billing

1. Go to https://console.cloud.google.com/billing 2. Click "LINK A BILLING ACCOUNT" 3. If you don't have a billing account, click "CREATE BILLING ACCOUNT" 4. Add a payment method (credit card) 5. New accounts get $300 free credits for 90 days

Step 3: Enable Vertex AI API

1. Go to https://console.cloud.google.com/apis/library 2. Search for "Vertex AI API" 3. Click on it, then click "ENABLE" 4. Wait for it to activate (takes a few seconds)

Step 4: Create a Service Account

1. Go to https://console.cloud.google.com/iam-admin/serviceaccounts 2. Click "+ CREATE SERVICE ACCOUNT" 3. Service account name: `socialforge-image-gen` 4. Description: `SocialForge AI image generation` 5. Click "CREATE AND CONTINUE" 6. In "Grant this service account access to project":

• Click the "Select a role" dropdown
• Type "Vertex AI User" in the search box
• Select "Vertex AI User"

7. Click "CONTINU