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dt-copilot-agents

v1.1.0

Published

Cross-platform AI agents for generating Dynatrace demo dashboards. Supports VS Code Copilot, Claude Code, Cursor, Windsurf, M365 Copilot, and OpenAI GPTs.

Readme

Dynatrace Copilot Agents

Cross-platform AI agents for Dynatrace demo workflows. Works on VS Code Copilot, Claude Code, Cursor, Windsurf, and OpenAI GPTs.

What's Included

Dashboard Generator

Generates and deploys realistic persona-specific dashboards with synthetic data for customer meetings — in under 5 minutes.

Supported Personas: | Executive | Technical / Operations | |---|---| | CEO — Business Impact | SRE — Reliability & SLOs | | CIO — IT Strategy (default) | IT Head — Infrastructure | | CTO — Technology & Innovation | Application Ops — APM | | CISO — Security & Compliance | MLOps — AI/Model Operations | | | Platform Engineering — Developer Experience | | | VP Engineering — Delivery & Quality |

Features:

  • Researches the company/business automatically via web
  • Generates 20-tile dashboards with inline DQL data record() queries (zero ingestion needed)
  • Supports 5 industry archetypes: E-Commerce, Manufacturing, SaaS, Financial Services, Retail
  • Auto-installs dtctl CLI if missing (Homebrew, curl, or PowerShell one-liner)
  • Authenticates via browser SSO (dtctl auth login) — no tokens to copy-paste
  • Deploys directly to Dynatrace tenant via DTCTL CLI
  • Optionally verifies DQL queries via Dynatrace MCP server
  • Uses real company data (plant names, brands, products, regions)

Platform Support

| Platform | Format | Deployment | Auto-deploy via DTCTL | |---|---|---|---| | VS Code Copilot | .agent.md + skill | .\install.ps1 -Platform vscode | Yes | | Claude Code | CLAUDE.md + .claude/commands/ | Copy to project root | Yes | | Cursor | .cursor/rules/*.mdc | Copy to project root | Yes | | Windsurf | .windsurfrules | Copy to project root | Yes | | M365 Copilot | Declarative Agent + instruction.md | Teams Toolkit deploy | Via Power Automate | | OpenAI GPT | System prompt + knowledge file | Create Custom GPT | No (manual deploy) |

Auto-setup: The agent automatically installs dtctl and authenticates via browser SSO if not already set up — no manual prerequisite steps needed.

Installation

Quick Install via npm (Any Platform)

# Install to all platforms at once
npx dt-copilot-agents install

# Or target a specific platform
npx dt-copilot-agents install vscode
npx dt-copilot-agents install claude-code ./my-project
npx dt-copilot-agents install cursor .

# See supported personas and archetypes
npx dt-copilot-agents info

Updating to Latest Version

# Update agent files in-place (re-run with @latest)
npx dt-copilot-agents@latest install claude-code .
npx dt-copilot-agents@latest install vscode
npx dt-copilot-agents@latest install cursor .

After updating, tell your agent to re-read the instructions and continue where it left off.

All Platforms (Windows PowerShell)

git clone https://github.com/pushpendrasinghbaghel-ai/dt-copilot-agents.git
cd dt-copilot-agents
.\install.ps1                        # All platforms
.\install.ps1 -Platform vscode       # VS Code only
.\install.ps1 -Platform claude-code  # Claude Code only

VS Code Copilot

.\install.ps1 -Platform vscode
# Restart VS Code → select "Dashboard Generator" from @ agent picker
# Then: "SRE dashboard for Tata Steel" or "CISO dashboard for HDFC Bank"

Claude Code

# Copy to your project directory:
cp claude-code/CLAUDE.md <project>/CLAUDE.md
cp -r claude-code/.claude <project>/.claude
cp -r knowledge <project>/knowledge
# Then: /dashboard SRE dashboard for Tata Steel

Cursor

cp -r cursor/.cursor <project>/.cursor
cp -r knowledge <project>/knowledge
# Then ask: "Create a dashboard for Tata Steel manufacturing"

Windsurf

cp windsurf/.windsurfrules <project>/.windsurfrules
cp -r knowledge <project>/knowledge

OpenAI Custom GPT

  1. Go to ChatGPT → Explore GPTs → Create
  2. Paste openai/system-prompt.txt into Instructions
  3. Upload knowledge/dashboard-generator.md as Knowledge
  4. Enable Web Browsing + Code Interpreter
  5. See openai/README.md for detailed setup

Microsoft 365 Copilot

See m365-copilot/README.md for three integration options:

  • Declarative Agent (recommended) — deploy via Teams Toolkit, use @Dashboard Generator in Teams
  • Copilot Studio — no-code, upload knowledge + instructions
  • SharePoint + Copilot Chat — simplest, just upload the knowledge file

Note: M365 Copilot cannot run dtctl directly. Use Power Automate for auto-deployment, or deploy manually.

Architecture

dt-copilot-agents/
├── knowledge/                          # Shared knowledge (platform-agnostic)
│   └── dashboard-generator.md          # Complete procedure, DQL rules, layout grid
│
├── agents/                             # VS Code Copilot
│   └── dashboard-generator.agent.md
├── skills/                             # VS Code Copilot skill
│   └── dt-demo-dashboard/
│       ├── SKILL.md
│       └── assets/
│
├── claude-code/                        # Claude Code
│   ├── CLAUDE.md
│   └── .claude/commands/dashboard.md
│
├── cursor/                             # Cursor
│   └── .cursor/rules/dashboard-generator.mdc
│
├── windsurf/                           # Windsurf
│   └── .windsurfrules
│
├── m365-copilot/                       # Microsoft 365 Copilot
│   ├── declarativeAgent.json
│   ├── instruction.md
│   └── README.md
│
├── openai/                             # OpenAI / ChatGPT
│   ├── system-prompt.txt
│   └── README.md
│
├── install.ps1                         # Cross-platform installer
└── README.md

How It Works

All platforms share the same knowledge base (knowledge/dashboard-generator.md). Each platform gets a thin wrapper in its native format that references this shared knowledge. When you update the knowledge, all platforms benefit.

Prerequisites

  • Web access (for company research)
  • Platform-specific: VS Code + Copilot extension, Claude Code CLI, Cursor IDE, or Windsurf IDE

Configuration

Step 1: Install DTCTL CLI

macOS/Linux (Homebrew):

brew install dynatrace-oss/tap/dtctl

macOS/Linux (shell script):

curl -fsSL https://raw.githubusercontent.com/dynatrace-oss/dtctl/main/install.sh | sh

Windows (PowerShell):

irm https://raw.githubusercontent.com/dynatrace-oss/dtctl/main/install.ps1 | iex

Verify: dtctl version

Step 2: Authenticate DTCTL (browser login — recommended)

# Opens your browser for Dynatrace SSO — no tokens to copy-paste
dtctl auth login

# Or for a specific context
dtctl auth login --context <your-context-name>

Alternative (CI/automation): dtctl auth login --token <API_TOKEN>

The agent uses your current DTCTL context by default. Switch contexts with:

dtctl config use-context <your-context-name>

Step 3: Connect Dynatrace MCP Server (optional — for DQL verification)

MCP enables the agent to verify DQL queries against your live tenant. It's optional — deployment works without it.

VS Code — One-click from MCP Gallery:

  1. Command Palette → MCP: Add Server → search "Dynatrace" → install
  2. Enter your tenant URL when prompted — authenticates via browser SSO

VS Code / Claude Code / Cursor — Remote MCP with token:

URL:  https://<YOUR_TENANT>.apps.dynatrace.com/platform-reserved/mcp-gateway/v0.1/servers/dynatrace-mcp/mcp
Auth: Bearer <YOUR_PLATFORM_TOKEN>

Generate a platform token at: https://<YOUR_TENANT>.apps.dynatrace.com/ui/apps/dynatrace.classic.tokens

See knowledge/dashboard-generator.mdAuthentication section for platform-specific config snippets (VS Code mcp.json, Claude Code .mcp.json, Cursor .cursor/mcp.json).

License

MIT — see LICENSE.