Cloud Platform AI skills act as an interface between your intent and Acquia developer tools. After you provide a natural language command, the AI agent uses these skills to identify the correct Command Line Interface (CLI) command, parameter, or Application Programming Interface (API) call that must execute the task.

Skills function as guidance artifacts rather than enforcement tools. They bundle Acquia operational best practices and procedural safety policies into machine-readable instructions. While skills provide the logic for a task, they rely on your existing infrastructure permissions. An agent cannot execute a skill-based action unless the authenticated user already possesses the underlying credentials, such as Secure Shell (SSH) keys or API tokens, for that specific environment.

Skills available for Cloud Platform

• Manage environments and applications.

• Deploy code and synchronize databases.

• Trigger builds and stream logs to diagnose failures.

• Manage Drupal dependencies and security updates.

• Manage Integrated Development Environment (IDE) and developer workflows.

Using skills 

To use skills:

1. To add skills to your environment, do one of the following:

   • Run the following command in the command line tool:

     copy

     npx skills add acquia/acquia-skills

   • Locate the skill file for the product in the official GitHub repository.
2. Load the file by attaching or referencing the skills file in the context of the AI agent. For example, use @ in Cursor or upload the file to a Claude project.
3. Execute commands using natural language. For example, Deploy my branch to staging and alert me if the pipeline fails.

Safety and human confirmation 

To ensure environment stability, skills include built-in safety gates for destructive or irreversible operations.

• Confirmation Prompts: For actions such as database trims, environment wipes, or production deployments, the Skill instructs the agent to pause and request explicit user approval.

• Context Awareness: Skills evaluate the environment impact, such as the difference between a Dev and Prod environment, before they propose an action.

Implementation standards

Cloud Platform AI skills adhere to emerging industry standards for agentic discovery:

• llms.txt: Provides a concise index of available tools for Large Language Model (LLM) consumption.

• AGENTS.md: Defines the behavior, constraints, and instructions for AI agents that interact with Acquia ecosystem.

• Versioning: Skill logic versions align with major releases of Acquia CLI and Pipelines CLI to ensure command compatibility.

Usage examples

Use natural language to trigger complex workflows:

• Deploy the feature-login branch to the staging environment.

• Create a new Drupal 10 module skeleton named Event Tracker.

• Diagnose why the last pipeline build failed and fix the PHP linting error.

• Display all applications currently connected to your GitHub organization.

Technical specifications

• Compatibility: Works with any agent that supports plain-text or Markdown.
• Authentication: Agents use existing local credentials. Skills do not store or manage API keys.
• Maintenance: Acquia updates skills in synchronization with product releases to ensure compatibility with the latest CLI versions.

Cloud Platform AI skills