How do I install the Workshop Datadog Dashboards To Elastic skill?

Run npx skillmds@latest add elastic/workshop-datadog-dashboards-to-elastic in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Workshop Datadog Dashboards To Elastic free to use?

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Who published Workshop Datadog Dashboards To Elastic?

elastic (@elastic) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Workshop Datadog Dashboards To Elastic by elastic

Name: Workshop Datadog Dashboards To Elastic
Author: elastic

Workshop Datadog Dashboards To Elastic

Workshop skill for metrics adoption on Elastic Observability Serverless (existing customers): bulk-convert Datadog-style metric dashboard JSON into Kibana via datadog-migrate; pair with kibana-dashboards Agent Skill and Cursor for query rewriting.

elastic Updated Sep 17, 2026

File contents

Adopt Datadog metric dashboards → Elastic (workshop)

When to use

Metrics adoption for existing Elastic customers: bring Datadog dashboard exports via observability-migration-platform datadog-migrate (--field-profile otel, upstream default) into Kibana on Observability Serverless, optionally with Cursor + Elastic Agent Skills. Legacy datadog_dashboard_to_elastic.py + publish_grafana_drafts_kibana.py remain for comparison.

Prerequisites

mig-to-kbn/ + uv + Python ≥ 3.11 (VM: /opt/mig-to-kbn-venv)
This repository (workshop VM: /root/workshop)

Live telemetry (OTLP → Elastic mOTLP)

With Alloy running (./scripts/start_workshop_otel.sh after source ~/.bashrc), run ./scripts/send_datadog_otel.sh to push Datadog-style OpenTelemetry traces, metrics, and logs to 127.0.0.1:4318 → Alloy → Elastic managed OTLP (see tools/datadog_otel_to_elastic.py).

Batch CLI (legacy draft JSON)

mkdir -p build/elastic-datadog-dashboards
python3 tools/datadog_dashboard_to_elastic.py assets/datadog/dashboards/*.json --out-dir build/elastic-datadog-dashboards
python3 tools/publish_grafana_drafts_kibana.py --drafts-dir build/elastic-datadog-dashboards

One command (workshop VM)

bash /root/workshop/scripts/migrate_datadog_dashboards_to_serverless.sh

Uses datadog-migrate (Kibana-only --upload by default; WORKSHOP_MIG_ES_VALIDATE=1 adds --es-url + live validation), stage dir with monitors/ for monitor JSON, and publish_datadog_alert_drafts_kibana.py for the four workshop rules. Artifacts: build/mig-datadog/, build/elastic-alerts/.

Publish rules only (after you have monitor-*-elastic.json):

python3 tools/publish_datadog_alert_drafts_kibana.py --alerts-dir build/elastic-alerts

Cursor + AI workflow

Open the repo in Cursor (or your agentic IDE).
Install upstream skills (for example npx skills add elastic/agent-skills --skill kibana-dashboards).
Paste one Datadog dashboard JSON and one generated build/mig-datadog/dashboards/yaml/*.yaml snippet (or legacy yaml/, or *-elastic-draft.json); ask the model to propose ES|QL or metric-query equivalents and Lens shapes for Serverless.
In Cursor, use env from source ~/.bashrc (ES_URL, ES_PASSWORD, ES_API_KEY) when following the kibana-dashboards skill for API calls.

Safety

Do not paste long-lived API keys into shared chats.
Treat drafts as starting points; validate every query against real indices and cardinality.

---name: workshop-datadog-dashboards-to-elasticdescription: Workshop skill for metrics adoption on Elastic Observability Serverless (existing customers): bulk-convert Datadog-style metric dashboard JSON into Kibana via datadog-migrate; pair with kibana-dashboards Agent Skill and Cursor for query rewriting.---# Adopt Datadog metric dashboards → Elastic (workshop)## When to use**Metrics adoption** for existing Elastic customers: bring **Datadog dashboard** exports via **[observability-migration-platform](https://github.com/elastic/observability-migration-platform)** **`datadog-migrate`**(**`--field-profile otel`**, upstream default) into **Kibana** on **Observability Serverless**, optionally with **Cursor** + [Elastic Agent Skills](https://github.com/elastic/agent-skills).Legacy **`datadog_dashboard_to_elastic.py`** + **`publish_grafana_drafts_kibana.py`** remain for comparison.## Prerequisites- **`mig-to-kbn/`** + **`uv`** + Python **≥ 3.11** (VM: **`/opt/mig-to-kbn-venv`**)- This repository (workshop VM: `/root/workshop`)## Live telemetry (OTLP → Elastic mOTLP)With Alloy running (**`./scripts/start_workshop_otel.sh`** after `source ~/.bashrc`), run **`./scripts/send_datadog_otel.sh`** to push **Datadog-style** OpenTelemetry **traces, metrics, and logs** to **`127.0.0.1:4318`** → Alloy → Elastic **managed OTLP** (see **`tools/datadog_otel_to_elastic.py`**).## Batch CLI (legacy draft JSON)```bashmkdir -p build/elastic-datadog-dashboardspython3 tools/datadog_dashboard_to_elastic.py assets/datadog/dashboards/*.json --out-dir build/elastic-datadog-dashboardspython3 tools/publish_grafana_drafts_kibana.py --drafts-dir build/elastic-datadog-dashboards```## One command (workshop VM)```bashbash /root/workshop/scripts/migrate_datadog_dashboards_to_serverless.sh```Uses **`datadog-migrate`** (Kibana-only **`--upload`** by default; **`WORKSHOP_MIG_ES_VALIDATE=1`** adds **`--es-url`** + live validation), stage dir with **`monitors/`** for monitor JSON, and **`publish_datadog_alert_drafts_kibana.py`** for the four workshop rules. Artifacts: **`build/mig-datadog/`**, **`build/elastic-alerts/`**.**Publish rules only** (after you have **`monitor-*-elastic.json`**):```bashpython3 tools/publish_datadog_alert_drafts_kibana.py --alerts-dir build/elastic-alerts```## Cursor + AI workflow1. Open the repo in **Cursor** (or your agentic IDE).2. Install upstream skills (for example `npx skills add elastic/agent-skills --skill kibana-dashboards`).3. Paste one Datadog dashboard JSON and one generated **`build/mig-datadog/dashboards/yaml/*.yaml`** snippet (or legacy **`yaml/`**, or `*-elastic-draft.json`); ask the model to propose **ES|QL** or metric-query equivalents and **Lens** shapes for **Serverless**.4. In Cursor, use env from `source ~/.bashrc` (`ES_URL`, `ES_PASSWORD`, `ES_API_KEY`) when following the **kibana-dashboards** skill for API calls.## Safety- Do not paste long-lived API keys into shared chats.- Treat drafts as **starting points**; validate every query against real indices and cardinality.

Frequently asked questions