Dynatrace

Dynatrace / dynatrace-for-ai

Public

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

19
2
100% credibility
Found Apr 03, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A set of knowledge packages designed to teach AI assistants how to query, analyze, and manage data from the Dynatrace observability platform.

How It Works

1
👀 Discover Dynatrace Skills

You hear about handy knowledge packs that teach your AI assistant everything about monitoring apps, servers, and cloud setups.

2
📦 Add the Skills

You grab the skills package and add it to your AI helper like Claude or Cursor with a simple command.

3
🔗 Link Your Monitoring

You connect it to your Dynatrace account so your AI can access your real system data safely.

4
🧠 Supercharge Your AI

Now your AI knows all about queries, services, hosts, Kubernetes, AWS, logs, and problems – ready to help!

5
❓ Ask Smart Questions

You chat with your AI about performance issues, user experience, or cost savings, just like talking to a expert.

6
📊 Get Insights and Fixes

Your AI creates dashboards, notebooks, and reports to spot problems and suggest improvements effortlessly.

🎉 Master Your Systems

Everything runs smoother as your AI handles the heavy lifting for monitoring and optimization.

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AI-Generated Review

What is dynatrace-for-ai?

Dynatrace-for-ai packages AI skills prompts and instructions that let coding agents like Claude Code, GitHub Copilot, and Cursor query and analyze Dynatrace telemetry data. It solves the gap where AI agents lack domain knowledge for Dynatrace for AI observability, AIOps, and AIX workflows, providing portable skills in the open Agent Skills format. Install via `npx skills add dynatrace/dynatrace-for-ai` or Claude plugins, then pair with Dynatrace CLI or MCP server for live queries on services, Kubernetes, AWS, logs, and problems.

Why is it gaining traction?

These claude skills prompts and claude code skills prompts stand out with progressive loading—agents only pull relevant docs on demand, keeping token costs low versus raw prompts or MCP alternatives. Developers hook into skills GitHub Claude, Copilot CLI, and VSCode for instant Dynatrace context on DQL essentials, tracing, and migrations, without custom training. It's a lightweight bridge for skills vs prompts debates, working across 30+ tools like OpenClaw.

Who should use this?

SREs troubleshooting Dynatrace problems or root causes via AI agents. DevOps teams building dashboards, notebooks, or migrating classic DQL to Smartscape. Platform engineers monitoring AWS, Kubernetes, hosts, or services who want communication skills prompts and coping skills prompts baked into their Copilot workflow.

Verdict

Grab it if you're deep in Dynatrace for AI and using agent tools—solid docs and easy setup make it useful now, despite 19 stars and 1.0% credibility signaling early maturity. Wait for more adoption if you're risk-averse.

(178 words)

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