A comprehensive cloud resource management skill for optimizing infrastructure spending across AWS, Azure, and GCP using Openclaw Skills.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install densify
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 densify using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Densify is a powerful cloud resource management and optimization platform that enables organizations to analyze and refine their cloud infrastructure spending across AWS, Azure, and Google Cloud. This integration leverages the Membrane ecosystem to provide a seamless interface for cloud engineers and IT managers to manage resource utilization and costs through Openclaw Skills. By utilizing this skill, developers can interact with Densify datasets, models, and projects without the overhead of manual authentication plumbing.
The skill operates as a bridge between your AI agent and the Densify platform, ensuring that resource management tasks are handled efficiently. It facilitates secure data access and workflow automation, making it an essential tool for teams looking to implement data-driven infrastructure optimization strategies via Openclaw Skills.
First, install the necessary CLI tool for Openclaw Skills integration:
npm install -g @membranehq/cli@latest
Authenticate your environment:
membrane login --tenant --clientName=openclaw
Establish a connection to the Densify platform:
membrane connection ensure "https://www.densify.com/" --json
The skill organizes cloud optimization data into the following taxonomy:
| Object | Description |
|---|---|
| Dataset | High-level collections of cloud resource records and metrics. |
| Column | Specific data attributes and fields within a resource dataset. |
| Model | Algorithms used to analyze utilization and predict optimization opportunities. |
| Inference | The actionable output or recommendations generated by optimization models. |
| Project | Organizational units used to group resources and users. |
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