amplifier-openclaw

What This Skill Does

The amplifier-openclaw skill is a powerful orchestration layer designed to bridge your OpenClaw agent with the robust capabilities of the Amplifier multi-agent framework. Instead of relying on a single model instance to handle complex reasoning, this skill delegates work to a specialized swarm of agents. It is designed to handle tasks that require deep architectural planning, multi-file code development, extensive research, and complex problem-solving. By utilizing bundles like foundation, superpowers, and coder, the skill automatically selects the most effective agent configuration for your specific request.

Installation

To integrate this skill into your environment, use the OpenClaw repository management system. Run the following command in your terminal:

clawhub install openclaw/skills/skills/bkrabach/amplifier-openclaw

Once installed, you can verify its status and functionality by running amplifier-openclaw --help to ensure all dependencies are resolved.

Use Cases

• Research and Synthesis: Perfect for when you need to gather information from multiple perspectives or compare technical approaches (e.g., comparing frameworks or architecture patterns).
• Software Engineering: Ideal for multi-file projects, refactoring large modules, or generating comprehensive unit test suites.
• Design Reviews: Use the delegation power to simulate peer reviews, security audits, and architectural critiques on your proposed designs.
• Deep Problem Solving: Use when a standard chat model would require too many steps or context windows to reach a reliable conclusion.

Example Prompts

1. "Amplifier, perform a deep dive into the security vulnerabilities of our current auth module and suggest a migration plan to OAuth2."
2. "I need to refactor our data processing pipeline; please delegate this to the coder bundle and provide a multi-file implementation plan."
3. "Brainstorm architectural patterns for a microservices-based streaming app; research the pros and cons of using Kafka vs RabbitMQ in this specific context."

Tips & Limitations

• When NOT to use: Do not use for simple, quick-turnaround queries like "What is the capital of France?" or "Fix this typo in the README." Using a multi-agent framework for trivial tasks introduces unnecessary latency and costs.
• Latency: Because this skill invokes external agentic workflows, expect a response time greater than 5 seconds. Always use the background:true flag for longer operations.
• Cost: Keep an eye on your consumption using amplifier-openclaw cost --period week. If you notice costs exceeding $1, ensure your tasks are appropriately scoped to maximize the value of the agentic swarm.