What problem does it solve?
This Skill streamlines multi-step AI workflows by ensuring each agent's output seamlessly flows into the next, eliminating manual data transfer and orchestration. It helps users automate complex sequential tasks, saving time, reducing errors, and enabling sophisticated data transformations in pipelines like code refactoring or security audits.
Core Features & Use Cases
- Custom Chains: Define and execute custom sequences of prompts for maximum flexibility, allowing you to tailor workflows to unique requirements.
- Predefined Pipelines: Utilize battle-tested workflows optimized for common tasks such as comprehensive analysis, systematic code refactoring, test generation, and performance optimization.
- Context Preservation: Each step receives the complete output from the previous, maintaining full context and enabling agents to build on prior results throughout the entire chain.
- Use Case: Automate a security audit workflow: first, analyze the authentication system for vulnerabilities; second, identify and categorize security issues by severity; third, propose fixes with implementation priority; finally, generate security test cases.
Quick Start
Run a custom chain for code development
claude-flow stream-chain run
"Write a user authentication function"
"Add input validation and error handling"
"Create unit tests with edge cases"
