菜单
Start the GenAI Engine frontend UI dev server. Use when you need to launch the React app locally.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | start-genai-frontend |
| description | Start the GenAI Engine frontend UI dev server. Use when you need to launch the React app locally. |
| allowed-tools | Bash, Task |
Spawn a Task sub-agent with subagent_type="Bash" and the following self-contained prompt:
Set up and start the GenAI Engine frontend dev server. Report success or failure for each step.
Step 1 — Check the backend is reachable (optional, non-blocking):
curl -s -o /dev/null -w "%{http_code}" -H "Authorization: Bearer changeme123" http://localhost:3030/health
If the response is not 200, warn the user that the backend may not be running and suggest running /start-genai-backend first, but continue anyway.
Step 2 — Install dependencies:
cd genai-engine/ui && yarn install
Step 3 — Generate API client bindings:
cd genai-engine/ui && yarn generate-api:clean
Step 4 — Start the dev server and capture the URL:
cd genai-engine/ui && yarn dev 2>&1 | tee /tmp/vite-fe.log &
sleep 3 && grep -m1 "Local:" /tmp/vite-fe.log
http://localhost:3000). If the default port was taken, Vite will have chosen a different one.Arthur onboarding sub-skill — Step 4: Analyze the target repository (language, framework, existing instrumentation). Writes detection results to .arthur-engine.env.
Arthur onboarding sub-skill — Step 8: Configure an LLM provider for continuous evals (OpenAI, Anthropic, Gemini, Bedrock, or Vertex AI). Reads/writes .arthur-engine.env.
Arthur onboarding sub-skill — Step 9: Recommend and configure continuous LLM evals for the Arthur task. Reads credentials and eval provider from .arthur-engine.env.
Arthur onboarding sub-skill — Step 5: Instrument the target repository with Arthur tracing (Python SDK, Mastra TS, or OpenInference). Reads detection results from .arthur-engine.env.
Arthur onboarding sub-skill — Step 2: Ensure Arthur GenAI Engine is available (local install or remote). Reads/writes .arthur-engine.env.
Onboard an agentic application to Arthur GenAI Engine. Guides through engine connection, task setup, code instrumentation, trace verification, and eval configuration. Invoke from any agentic application repository.