flow

What This Skill Does

The flow skill serves as the primary intelligent orchestrator for OpenClaw. It functions as a meta-skill, transforming abstract, high-level natural language requests into concrete, executable automation workflows. By leveraging advanced NLP and dependency resolution, it interprets your intent, searches the existing skill registry for compatible modules, subjects them to a multi-layered security scan, and composes them into a unified, reusable FLOW. This enables users to build complex, multi-step automations without manually wiring individual components or understanding underlying boilerplate code. It acts as an abstraction layer between user intent and system capability, ensuring that complex automation logic is accessible, secure, and maintainable.

Installation

To integrate flow into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/bvinci1-design/flow

Once installed, the orchestrator is immediately available for both interactive sessions and command-line automation sequences.

Use Cases

• Rapid Automation Prototyping: Quickly draft and deploy complex multi-stage tasks such as data scraping, parsing, and cloud storage syncing without custom coding.
• Task Standardization: Convert frequent, repetitive command chains into single, shareable, and version-controlled FLOW entities for team collaboration.
• Secure Orchestration: Use the built-in security analysis to audit complex chains of external skills before executing them in sensitive environments.
• Dependency Resolution: Automate the installation and configuration of prerequisite skills required for larger, cross-functional projects.

Example Prompts

1. "Build a flow that crawls my daily tasks from Notion, formats them into a priority list, and posts them to my Slack channel every morning at 9 AM."
2. "Create an automation that monitors my system API logs for error status codes and sends an encrypted summary to my secure storage if more than 5 errors occur in an hour."
3. "Compose a workflow that searches the skill registry for image processing tools, optimizes the resolution of files in my current folder, and renames them to match a specific date pattern."

Tips & Limitations

• Security First: Always review the generated FLOW definition if the orchestrator flags potential security risks during the composition stage.
• Granularity: For optimal results, keep your natural language requests focused on specific outcomes. Providing too many disparate requirements in one request can sometimes lead to overly complex dependency trees.
• Registry Awareness: The skill works best when the registry is well-populated. You can list available components using python flow.py --list to understand the building blocks available to the orchestrator.
• Limitations: While flow handles orchestration, it cannot bypass system-level permissions. Ensure your environment has the necessary access rights for the tasks you intend to automate.