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dynatrace-for-ai

mcp
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SUMMARY

Skills, prompts, and instructions for building AI agents on top of Dynatrace production context

README.md

Dynatrace for AI

Everything AI agents need to work with Dynatrace, starting with skills.

Skills are portable knowledge packages following the Agent Skills open format. They give AI coding agents the domain-specific context to query, analyze, and interpret Dynatrace data. They work with Claude Code, GitHub Copilot, Cursor, OpenCode, Gemini CLI, and 30+ other compatible tools.

Installation

Skills Package (skills.sh)

npx skills add dynatrace/dynatrace-for-ai

Works with Claude Code, Cursor, Cline, GitHub Copilot, OpenCode, and other compatible agents.

Claude Code Plugin

claude plugin marketplace add dynatrace/dynatrace-for-ai
claude plugin install dynatrace@dynatrace-for-ai

Update with claude plugin marketplace update && claude plugin update dynatrace@dynatrace-for-ai.

Manual

Copy skill directories into your agent's skills path (.agents/skills/, .claude/skills/, .cursor/skills/, etc.).

Connecting to Dynatrace

Skills provide knowledge only. To run live queries and manage your environment, pair them with a tool.

Dynatrace CLI (dtctl)

dtctl is a kubectl-style CLI for the Dynatrace platform. It ships with its own Agent Skill that teaches agents how to operate it.

brew install dynatrace-oss/tap/dtctl                        # Install
dtctl auth login --context my-env \
  --environment "https://<env>.apps.dynatrace.com"           # Authenticate
npx skills add dynatrace-oss/dtctl                           # Install the dtctl skill
dtctl doctor                                                 # Verify setup

Or install the dtctl skill with dtctl itself: dtctl skills install

Dynatrace MCP Server

The Dynatrace MCP server provides Dynatrace API access via MCP. Use this if your agent supports MCP natively.

Skills

DQL & Query Language

Skill Description
dt-dql-essentials DQL syntax rules, common pitfalls, and query patterns. Load this before writing any DQL.

Observability

Skill Description
dt-obs-services Service RED metrics and runtime telemetry for .NET, Java, Node.js, Python, PHP, and Go.
dt-obs-frontends Real User Monitoring, Web Vitals, user sessions, mobile crashes, and frontend errors.
dt-obs-tracing Distributed traces, spans, service dependencies, and failure detection.
dt-obs-hosts Host and process metrics: CPU, memory, disk, network, and containers.
dt-obs-kubernetes Kubernetes clusters, pods, nodes, workloads, labels, and resource relationships.
dt-obs-aws AWS resources: EC2, RDS, Lambda, ECS/EKS, VPC, load balancers, and cost optimization.
dt-obs-logs Log queries, filtering, pattern analysis, and log correlation.
dt-obs-problems Problem entities, root cause analysis, impact assessment, and problem correlation.

Platform

Skill Description
dt-app-dashboards Create, modify, and analyze Dynatrace dashboards: tiles, layouts, variables, and visualizations.
dt-app-notebooks Create, modify, and analyze Dynatrace notebooks: sections, DQL queries, and analytics workflows.

Migration

Skill Description
dt-migration Migrate classic entity-based DQL and topology navigation to Smartscape equivalents.

Prompts

Prompts are reusable task templates for common Dynatrace workflows. You can copy them from the /prompts/ directory and paste them directly into any AI chat. For VS Code/GitHub Copilot users, copy prompts into .github/prompts/ to use as slash commands (e.g. /troubleshoot-problem).

Each prompt references the relevant skills above — load those skills first for best results.

Prompt Description
daily-standup Generate a daily standup report for one or more services.
health-check Check the health of a service in production.
incident-response Respond to an active production incident with triage, root cause, and a shareable report.
investigate-error Investigate recent errors using Davis Problems as the entry point (problems → logs → traces).
performance-regression Analyze whether a recent deployment caused a performance regression.
troubleshoot-problem Troubleshoot an existing Dynatrace problem with structured log and trace investigation.

How Skills Work

Skills follow the Agent Skills specification and use progressive disclosure:

  1. Catalog - Agents load only name + description (~100 tokens per skill) to know what's available.
  2. Instructions - When relevant, the full SKILL.md is loaded (<5000 tokens).
  3. Resources - Detailed reference files in references/ are loaded on demand.

Install all skills without penalty. Agents only load what they need.

Contributing

See CONTRIBUTING.md.

License

Apache-2.0

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