Manage Datadog observability platform resources via CLI commands.
npx skills add https://github.com/datadog-labs/pup --skill pup
Please help me install this Agent Skill. Skill: pup Source: https://github.com/datadog-labs/pup/tree/main Command: npx skills add https://github.com/datadog-labs/pup --skill pup
This Skill provides AI agents with a powerful command-line interface to interact with the Datadog observability platform, enabling them to fetch metrics, analyze logs, manage monitors, and more, all through a unified tool.
Use the pup skill to list all monitors tagged with 'env:production'.
High-intent search queries and answers about installing and using this skill.
You can use an AI-native CLI to query Datadog logs and metrics, enabling your agent to fetch data, analyze errors, and manage monitors via structured JSON output without leaving its environment.
Yes, you can manage Datadog infrastructure and security monitors from the command line using a comprehensive CLI that provides access to over 200 commands across 33 Datadog products.
To investigate production incidents, an AI agent can use a unified CLI to list active monitors, search logs for service-specific errors, and query recent metrics to identify performance anomalies.
Yes, the Datadog CLI supports automated workflows through AI-native features like structured JSON output, automatic agent mode detection, and self-discoverable commands for seamless integration.
The best way to integrate Datadog observability into an AI-driven workflow is using a CLI designed for agents, offering structured output and self-discoverable commands to fetch metrics and analyze logs.
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kubiyabotQuery Datadog metrics, manage monitors, and post events via dogshell CLI.
