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Llmops-demo-ts deploy

Deploy the application or manage infrastructure. Handles Docker builds, CI/CD, and deployment workflows.

install
source · Clone the upstream repo
git clone https://github.com/yu-iskw/llmops-demo-ts
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/yu-iskw/llmops-demo-ts "$T" && mkdir -p ~/.claude/skills && cp -r "$T/.claude/skills/deploy" ~/.claude/skills/yu-iskw-llmops-demo-ts-deploy && rm -rf "$T"
manifest: .claude/skills/deploy/SKILL.md
source content

Deploy

Execute the following deployment/infrastructure task:

$ARGUMENTS

Pre-deployment Checklist

  1. Verify build: 
    pnpm build
  2. Run tests: 
    pnpm test
  3. Check lint: 
    pnpm lint
  4. Review environment: Verify .env configuration

Docker Deployment

# Build and start all services
docker-compose up --build

# Build specific service
docker-compose build [service-name]

# View logs
docker-compose logs -f [service-name]

Environment Variables

Required variables (see .template.env):

  • GOOGLE_CLOUD_PROJECT
    / 
    GOOGLE_API_KEY
    — AI provider credentials
  • LANGSMITH_API_KEY
    — Observability (optional)
  • PORT
    — Backend server port (default: 3000)

Post-deployment Verification

  1. Health check: 
    curl http://localhost:3000/health
  2. Agent types: 
    curl http://localhost:3000/chat/agent-types
  3. Test chat: Send a test message through the UI or API
deploy — OpenSkillIndex