muapi-workflow

What This Skill Does

The muapi-workflow skill acts as an intelligent architect for your AI generation pipeline. It bridges the gap between high-level natural language requests and complex, multi-node AI workflows. By leveraging the muapi engine, this agent can generate, discover, edit, and execute sophisticated pipelines involving image generation, video creation, enhancement, and post-processing tasks. The skill allows you to treat AI generation not as a single task, but as a chain of modular, repeatable, and scalable operations that can be managed entirely through the CLI or within the OpenClaw environment.

Installation

To integrate this skill into your environment, use the following command: clawhub install openclaw/skills/skills/anil-matcha/muapi-workflow-skill

Ensure that your workspace is prepared by upgrading the muapi CLI at the start of every session to maintain compatibility with the latest node definitions: pip install --upgrade /path/to/muapi-cli (Replace the path with your local directory containing pyproject.toml.)

Use Cases

• Automated Content Factories: Build a pipeline that takes a single text input, generates a key visual, converts it to a cinematic video, and optimizes it for social media platforms.
• Rapid Prototyping: Quickly architect, test, and refine multi-step visual workflows without manually reconfiguring individual tools.
• Workflow Standardization: Capture complex generation steps into reusable, version-controlled graphs that ensure consistent output quality across your team.
• Batch Processing: Run discovered or custom workflows against large datasets or lists of inputs for mass content production.

Example Prompts

1. "Discover any existing workflows for creating high-quality, 15-second product demo videos from a base image and list the required parameters for them."
2. "I want to build a new workflow that takes a user prompt, generates a surreal landscape, and then applies a motion-blur enhancement node to it. Can you help me architect this?"
3. "Run the product promo workflow (wf_789) using the following prompt: 'a futuristic coffee machine on a marble countertop', and save the final output to my assets folder."

Tips & Limitations

• Parameter Integrity: Never guess input values. Always use muapi workflow get <id> to inspect required inputs before execution. Your agent is designed to verify these inputs with you for safety and accuracy.
• Modular Design: Favor smaller, granular workflows that can be chained together over monolithic, single-step scripts to improve debuggability.
• Consistency: Keep the muapi CLI updated. Performance issues or connection errors are frequently resolved by re-syncing the CLI with the core generation engine.
• Scope: While the agent can architect new workflows, highly complex logic involving conditional branching may require manual oversight in the node graph definition.