Skills, prompts, and instructions for building AI agents on top of Dynatrace production context
npx skills add https://github.com/dynatrace/dynatrace-for-ai --skill dt-obs-services使用 CLI 安装这个技能,并在你的工作区中直接复用对应的 SKILL.md 工作流。
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.
npx skills add dynatrace/dynatrace-for-ai
Works with Claude Code, Cursor, Cline, GitHub Copilot, OpenCode, and other compatible agents.
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.
Copy skill directories into your agent's skills path (.agents/skills/, .claude/skills/, .cursor/skills/, etc.).
Skills provide knowledge only. To run live queries and manage your environment, pair them with a tool.
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
The Dynatrace MCP server provides Dynatrace API access via MCP. Use this if your agent supports MCP natively.
| Skill | Description |
|---|---|
| dt-dql-essentials | DQL syntax rules, common pitfalls, and query patterns. Load this before writing any DQL. |
| 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. |
| 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. |
| Skill | Description |
|---|---|
| dt-migration | Migrate classic entity-based DQL and topology navigation to Smartscape equivalents. |
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. |
Skills follow the Agent Skills specification and use progressive disclosure:
name + description (~100 tokens per skill) to know what's available.SKILL.md is loaded (<5000 tokens).references/ are loaded on demand.Install all skills without penalty. Agents only load what they need.
See CONTRIBUTING.md.
Apache-2.0