scaffold-ai-app
Scaffold a Veryfront app with AI tools, agent definitions, and knowledge base.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
메뉴
Scaffold a Veryfront app with AI tools, agent definitions, and knowledge base.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Build, test, push, deploy, and verify with rollback through Git on failure.
Build and run AI apps and agents with Veryfront CLI
Development flywheel - autonomous cycle of run, observe, fix, verify. Use for continuous development with browser automation.
Build Veryfront apps. Use for real-time errors, route preview, HMR control, and scaffolding pages/APIs/components/AI tools.
Onboard to veryfront-code architecture, testing, conventions, and PR process.
Diagnose and fix build failures using structured error output.
| name | scaffold-ai-app |
| description | Scaffold a Veryfront app with AI tools, agent definitions, and knowledge base. |
| metadata | {"version":"1.0.0"} |
Create a Veryfront app with AI capabilities: tools, agents, and project conventions.
Create base project
veryfront init <name> --template ai-agent --yes --json
Scaffold AI primitives (via MCP)
Use vf_scaffold to generate project-root primitives:
agents/<name>.ts for reusable agent behaviortools/<name>.ts for callable capabilitiesprompts/<name>.ts for prompt templatesworkflows/<name>.ts for multi-step coordinationAdd an app route
Use vf_scaffold with type: "api" to add a route such as
app/api/ag-ui/route.ts, then wire it to the agent runtime.
Configure inference
Set the model provider token required by the project in .env.
Verify
veryfront doctor --json
veryfront dev
.env file and ensure the expected token is setvf_get_conventions to check patterns, scaffold manuallysrc/provider/ for supported providers