Use as the frontend build stage of the Butterbase journey. Implements the Frontend section of 02-plan.md by delegating to deploy-frontend. Scaffolds (if needed) and deploys via create_frontend_deployment + manage_frontend (start_deployment). Sets VITE_API_URL and VITE_APP_ID env. Skipped if the plan is API-only.
npx skills add https://github.com/butterbase-ai/butterbase-skills --skill journey-frontend
Stage 3j of the guided journey. Build (or adopt) and deploy the frontend.
journey when current_stage: frontend./butterbase-skills:journey-frontend.(n/a)) if frontend_stack: none in 00-state.md.If docs/butterbase/03-preflight.md is missing, older than 24 hours, or 00-state.md has app_id: null, invoke butterbase-skills:journey-preflight first. Wait for it to return successfully before proceeding.
docs/butterbase/02-plan.md — the Frontend section.docs/butterbase/00-state.md — for app_id, api_base, frontend_stack.butterbase_docs with topic: "frontend". For framework-specific deploy patterns, also WebFetch https://docs.butterbase.ai/frontend. Skip if cache is fresh.@butterbase/sdkAny frontend that talks to the deployed Butterbase app should use @butterbase/sdk:
npm install @butterbase/sdk inside the frontend project.import { createClient } from '@butterbase/sdk'; const bb = createClient({ apiUrl: import.meta.env.VITE_API_URL, appId: import.meta.env.VITE_APP_ID });bb.auth.signInWithOAuth({ provider: 'google' }), bb.auth.signOut(), bb.auth.getSession().bb.db.from('posts').select('*').eq('user_id', userId).bb.storage.upload(file), persist the returned object_id, resolve download URLs via the SDK at render time.bb.realtime.from('posts').on('insert', cb).subscribe().Do NOT hand-roll fetch() against the REST API in a Butterbase frontend — the SDK handles auth headers, presigned URL refresh, realtime reconnection, and type-narrowing. The MCP tools are not for runtime code.
For framework-specific patterns (Next.js Server Components, SvelteKit load functions, etc.), call butterbase_docs with topic: "sdk".
frontend_stack from 00-state.md. Print: "About to deploy a <stack> frontend for app_id <id>. Proceed?". Wait for yes.butterbase-skills:deploy-frontend via the Skill tool with the frontend spec, app_id, and api_base. The wrapped skill scaffolds (if no package.json exists in ./web or chosen path), sets VITE_API_URL and VITE_APP_ID, builds, calls create_frontend_deployment, then manage_frontend action: start_deployment.docs/butterbase/04-build-log.md:<ISO timestamp> frontend manage_frontend <live-url> ok
deployed_url: field in 00-state.md front-matter.- [x] frontend in 00-state.md, set current_stage: deploy.journey orchestrator (or ask "Continue to deploy verification? (yes/no)").deployed_url: in 00-state.md.04-build-log.md.VITE_API_URL and VITE_APP_ID — frontend will load blank.deploy-frontend handle the bundling; do not hand-roll.Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
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Take butterbase-ai/journey-frontend from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npm.
Without those the skill loads but fails at the first command.