What problem does it solve?
Breaking down complex tasks into sequential steps for AI agents often leads to manual copy-pasting of outputs or loss of context. This Skill automates multi-step workflows, ensuring each agent's output seamlessly flows into the next, preserving context and enabling sophisticated data transformations.
Core Features & Use Cases
- Custom Chains: Define and execute custom sequences of prompts for maximum flexibility, with each step building on the previous output.
- Predefined Pipelines: Utilize battle-tested workflows for common tasks like analysis, refactoring, testing, and optimization.
- Context Preservation: The complete output from each step is passed as context to the next, enabling deep, sequential processing.
- Use Case: Automate a code refactoring process. First, an agent identifies code smells. Its output is fed to a second agent that creates a refactoring plan. This plan then guides a third agent to apply the refactoring, and a fourth to verify behavior, all without manual intervention.
Quick Start
Run a Custom Chain for development
claude-flow stream-chain run
"Write a user authentication function"
"Add input validation and error handling"
"Create unit tests with edge cases"
Execute a Predefined Pipeline for analysis
claude-flow stream-chain pipeline analysis
