Agent Skills: Datadog CLI

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

UncategorizedID: leonardocouy/cc-datadog/datadog-cli

Install this agent skill to your local

pnpm dlx add-skill https://github.com/leonardocouy/cc-datadog/tree/HEAD/skills/datadog-cli

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skills/datadog-cli/SKILL.md

Skill Metadata

Name
datadog-cli
Description
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

Datadog CLI

A CLI tool for AI agents to debug and triage using Datadog logs and metrics.

Required Reading

You MUST read the relevant reference docs before using any command:

Setup

Environment Variables (Required)

export DD_API_KEY="your-api-key"
export DD_APP_KEY="your-app-key"

Get keys from: https://app.datadoghq.com/organization-settings/api-keys

Running the CLI

npx @leoflores/datadog-cli <command>

For non-US Datadog sites, use --site flag:

npx @leoflores/datadog-cli logs search --query "*" --site datadoghq.eu

Commands Overview

| Command | Description | |---------|-------------| | logs search | Search logs with filters | | logs tail | Stream logs in real-time | | logs trace | Find logs for a distributed trace | | logs context | Get logs before/after a timestamp | | logs patterns | Group similar log messages | | logs compare | Compare log counts between periods | | logs multi | Run multiple queries in parallel | | logs agg | Aggregate logs by facet | | metrics query | Query timeseries metrics | | errors | Quick error summary by service/type | | services | List services with log activity | | dashboards | Manage dashboards (CRUD) | | dashboard-lists | Manage dashboard lists |

Quick Examples

Search Errors

npx @leoflores/datadog-cli logs search --query "status:error" --from 1h --pretty

Tail Logs (Real-time)

npx @leoflores/datadog-cli logs tail --query "service:api status:error" --pretty

Error Summary

npx @leoflores/datadog-cli errors --from 1h --pretty

Trace Correlation

npx @leoflores/datadog-cli logs trace --id "abc123def456" --pretty

Query Metrics

npx @leoflores/datadog-cli metrics query --query "avg:system.cpu.user{*}" --from 1h --pretty

Compare Periods

npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

Global Flags

| Flag | Description | |------|-------------| | --pretty | Human-readable output with colors | | --output <file> | Export results to JSON file | | --site <site> | Datadog site (e.g., datadoghq.eu) |

Time Formats

  • Relative: 30m, 1h, 6h, 24h, 7d
  • ISO 8601: 2024-01-15T10:30:00Z

Incident Triage Workflow

# 1. Quick error overview
npx @leoflores/datadog-cli errors --from 1h --pretty

# 2. Is this new? Compare to previous period
npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

# 3. Find error patterns
npx @leoflores/datadog-cli logs patterns --query "status:error" --from 1h --pretty

# 4. Narrow down by service
npx @leoflores/datadog-cli logs search --query "status:error service:api" --from 1h --pretty

# 5. Get context around a timestamp
npx @leoflores/datadog-cli logs context --timestamp "2024-01-15T10:30:00Z" --service api --pretty

# 6. Follow the distributed trace
npx @leoflores/datadog-cli logs trace --id "TRACE_ID" --pretty

See workflows.md for more debugging workflows.