Query and analyze Datadog logs, metrics, and monitors via the Datadog API.
npx skills add https://github.com/tbroadley/dotfiles --skill datadog-tbroadley
Please help me install this Agent Skill. Skill: datadog Source: https://github.com/tbroadley/dotfiles/tree/main/claude/skills/datadog Command: npx skills add https://github.com/tbroadley/dotfiles --skill datadog-tbroadley
This skill provides programmatic access to Datadog data, enabling users to query logs, metrics, monitors, and dashboards from a single interface without manual navigation.
Use the skill to fetch the latest error logs for a service or to check current monitor statuses and incident counts.
High-intent search queries and answers about installing and using this skill.
Query Datadog logs and metrics programmatically by using the Datadog API to retrieve, filter, and analyze data across services. This enables direct incident investigation and performance monitoring from a single interface without manual dashboard navigation.
Interacting with Datadog monitors and alerts requires API credentials including DD_API_KEY and DD_APP_KEY, along with a target DD_SITE. These credentials authenticate requests to list and inspect monitors or triage active incidents.
You can integrate Datadog data into custom dashboards, reports, and automation workflows by querying logs, metrics, and monitors via the API. This provides programmatic access to Datadog resources for automated alert management and performance tracking.
Monitoring performance across multiple services and environments is supported by querying Datadog metrics and logs via the API. It retrieves and filters data across your infrastructure to provide visibility into service health and incident status.
The best way to check Datadog monitor statuses and incident counts is to query the Datadog API directly. It lists and inspects monitors and alerts, allowing you to triage issues and assess current operational state without manual navigation.
Using API queries for Datadog log analysis eliminates manual navigation by providing programmatic access to filter and analyze logs across environments. This streamlines incident investigation and performance monitoring into a single automated interface.
fabnConfigure Datadog credentials and verify MCP server connectivity.
automateyournetworkQuery Prometheus metrics, Loki logs, and alerts from Grafana instances.
Cogni-AI-OURetrieve live Datadog dashboards, monitors, and timeseries via authenticated API requests.
pi-2rQuery production analytics data from Countly via the MCP server.
