You’re staring at a complex feature request: refactor a legacy module, add new validation, and update documentation. This feels like a multi-day effort, and juggling the interdependencies is giving you a headache. Instead of tackling it all at once, imagine breaking it down. With Claude Code’s multi-agent capabilities, you can create a pipeline where each agent specializes in a sub-task, passing its output to the next. This allows for modularity, parallelization (where applicable), and easier debugging.
Consider a scenario where one agent handles code refactoring, another focuses on writing unit tests for the refactored code, and a third generates updated API documentation based on the changes. You can define the flow and dependencies between these agents within a single claude command. This isn’t magic; it’s structured workflow automation. By defining distinct roles for each agent, you leverage Claude’s ability to maintain context across a series of operations, ensuring that the output of one step correctly informs the input of the next.
To set this up, you’d typically configure your agents and their sequence within a claude command. For instance, you might have a .claude/settings.json that defines these agents, or you could specify them directly on the command line. A common approach is to chain commands, where the output of one claude execution becomes the input for the next, but for more complex, predefined workflows, you can orchestrate them as a sequence. This allows you to build sophisticated automation for recurring or multi-step development processes, significantly reducing manual effort and the potential for error.
Here’s a conceptual example of how you might trigger a multi-step pipeline. Imagine you have two defined agents in your claude configuration: refactor-agent and test-agent. You can chain them together to process a file:
claude --agent refactor-agent --input ./src/legacy.js | claude --agent test-agent --input-from-stdin
This command first invokes the refactor-agent with a specific input file. The output of this agent (which might be the refactored code) is then piped directly into the standard input of the next claude command, which uses the test-agent to process it. This is a fundamental way to build multi-agent workflows.
Try it: Identify a small, repetitive task you perform that involves multiple distinct steps, and try to break it down into two conceptual agents. Then, attempt to chain two claude commands together using a pipe to simulate that workflow.