An advanced integration for Openclaw Skills that enables AI agents to monitor software environments and automate application performance management.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cisco-appdynamics
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install cisco-appdynamics using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Cisco AppDynamics provides a robust framework for application performance monitoring (APM) and IT operations analytics. By integrating this capability into Openclaw Skills, developers can empower AI agents to monitor, analyze, and optimize complex software environments in real-time. This skill bridges the gap between sophisticated monitoring data and actionable AI-driven automation.
Using the underlying Membrane infrastructure, this skill simplifies the way agents interact with metrics, health rules, and business transactions. It eliminates the need for manual authentication handling, allowing your Openclaw Skills to focus on higher-level logic such as incident response, performance optimization, and automated reporting.
Install the necessary CLI tools to manage your Openclaw Skills components:
npm install -g @membranehq/cli@latest
Authenticate your session with the appropriate agent type:
membrane login --tenant --clientName=openclaw
Create a connection to your Cisco AppDynamics instance to begin monitoring:
membrane connection ensure "https://your-appdynamics-domain.com" --json
The skill interacts with the following primary data entities within the Cisco AppDynamics ecosystem:
| Entity | Description |
|---|---|
| Application | The top-level container for all monitoring and performance data. |
| Health Rule | Logic-based triggers that define the operational status of components. |
| Business Transaction | Records and metrics for end-to-end user requests and flows. |
| Tier & Node | Logical groupings and individual instances of application services. |
| Metric Data | Quantitative performance measurements used for trend analysis. |
| Event | Significant occurrences, warnings, or changes within the environment. |
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