菜单
Adapt an existing demo to a different business domain or prospect context. Use when reusing a demo for a new prospect in a different industry.
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。
Create a Datadog demo project — scaffold infrastructure, build domain-specific microservices, and generate demo scenarios. Use when the user asks to create a demo, scaffold a project, set up a Datadog environment, or build a sample application.
Verify Datadog telemetry is flowing correctly using MCP tools
Build, deploy, smoke test, and validate a demo project before presenting it. Use after scaffolding or modifying services to ensure everything works end-to-end.
Look up current Datadog documentation via the official LLM-optimized index at docs.datadoghq.com/llms.txt. Use this skill whenever you need accurate, up-to-date Datadog configuration steps, feature details, API references, integration setup, or troubleshooting guidance — even if you think you already know the answer. Datadog docs change frequently and your training data is likely stale. Trigger on any Datadog-related question: agent install, log pipelines, APM setup, DBM, monitors, dashboards, SLOs, integrations, RBAC, cloud cost, synthetics, LLM observability, etc. Also trigger when another dd- prefixed skill needs to reference official documentation.
Generate Terraform for Datadog dashboards tailored to a project's services and active features, enriched with real telemetry data from the Datadog MCP server.
Generate Terraform for Datadog monitors tailored to a project's services and active features, using real telemetry baselines when available.
| name | dd-customize-domain |
| description | Adapt an existing demo to a different business domain or prospect context. Use when reusing a demo for a new prospect in a different industry. |
| tools | ["terminal","file_read","file_write","ask_user"] |
Adapt an existing d-scribe demo project to a different business domain or prospect context. Use this when reusing a demo for a new prospect in a different industry.
Ask the user:
Read AGENTS.md to understand:
references/patterns/Present a concrete proposal:
account-service → patient-service)Stop here. Use ask_user to present the proposal and wait for user confirmation. Do not continue until they reply.
For each service:
docker compose build <service>)docker-compose.yml (service names, DD_SERVICE, build contexts, env vars)traffic/locustfile.pyAGENTS.md and README.md