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Deploy, run, and maintain applications with startup scripts, environment configuration, health monitoring, and operational procedures
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
Use this skill to learn hot to use the IBM Cloud CLI (`ibmcloud`) commands, flags, command patterns, or troubleshooting guidance. Covers core CLI workflows: install/verify/update, login with SSO or API keys, select account/region/resource group targets, inspect and configure CLI output, manage plug-ins (e.g. `vpc-infrastructure` / `ibmcloud is ...` for VPC infrastructure.).
Build voice-enabled agents in watsonx Orchestrate using the ADK. This guide covers initial setup, key concepts for building your first voice agent.
Reusable skills for the Turbonomic Resource Dashboard project. Each skill is a specialized workflow that Bob can activate to help with specific development tasks.
Deploy and manage HashiCorp Vault using Ansible automation with proper configuration, permissions, and security setup.
Plan and run evaluations, red-teaming, and runtime observability for watsonx Orchestrate (WXO) agents across Developer Edition and SaaS. Use when validating WXO agents pre-deploy, authoring benchmark JSON DAGs, interpreting Journey Success / Tool Call Recall / Agent Routing F1 / RAG Faithfulness, diagnosing agent failures, running adversarial red-teaming (Instruction Override, Jailbreaking, Crescendo Attack), searching runtime traces, exporting traces via the Python SDK, wiring Langfuse for cost & latency analysis, or registering model pricing in Langfuse. Interview-first; emits bash commands for the user to run in their IDE terminal.
Evaluate GenAI applications — RAG pipelines, LLM/chatbot outputs, and AI agents with tool-calling — before deployment using IBM watsonx.governance metrics. Use when scoring RAG faithfulness / answer relevance / context relevance / retrieval precision, screening LLM outputs for HAP / PII / social bias / jailbreak / prompt safety risk, evaluating agentic tool-call accuracy / parameter accuracy / relevance / syntactic validity, authoring custom LLM-as-judge metrics (criteria_judge or prompt_template styles) for domain-specific concerns, preparing eval datasets in the watsonx-gov SDK format, interpreting results against pass/fail thresholds, or producing prioritized [CRITICAL]/[WARNING]/[INFO] recommendations. Partners install `ibm-watsonx-gov[metrics,agentic,tools,llmaj]` directly and call the SDK in-process; no MCP server, no hosted dependency.
| name | deployment-operations |
| description | Deploy, run, and maintain applications with startup scripts, environment configuration, health monitoring, and operational procedures |
Deploy and operate applications with automated scripts:
Create .env files from .env.example templates Use startup scripts in `scripts/` directory to launch services Verify health of all services (frontend port 3000, backend port 3001, Vault port 8200) Monitor logs for errors and performance issues Perform regular backups of configuration and data Run maintenance tasks (updates, cleanup, security audits) Document operational changes and incidentsStartup Scripts:
scripts/start-frontend.sh - Starts React on port 3000scripts/start-backend.sh - Starts Flask on port 3001scripts/start-all.sh - Starts both with health checks and graceful shutdownHealth Check:
# Backend
curl http://localhost:3001/api/health
# Frontend
curl http://localhost:3000
# Vault
curl http://localhost:8200/v1/sys/health
Common Operations:
./scripts/start-all.shtail -f backend.log or tail -f frontend.logcd frontend && npm run buildEnvironment Variables:
REACT_APP_API_URL=http://localhost:3001FLASK_ENV=development, PORT=3001VAULT_ADDR=http://localhost:8200, VAULT_TOKEN=<token>