What problem does it solve?
Breaking down complex tasks into sequential steps for AI agents can be challenging, leading to fragmented outputs or manual intervention. This Skill automates multi-step workflows by seamlessly passing the output of one agent as input to the next, ensuring coherent and efficient execution of complex pipelines.
Core Features & Use Cases
- Custom Chains: Define and execute custom sequences of prompts for maximum flexibility in multi-agent pipelines.
- Predefined Pipelines: Utilize battle-tested workflows for common tasks like analysis, refactoring, testing, and optimization.
- Context Flow: Each step receives the complete output from the previous step, enabling sophisticated data transformation and sequential processing.
- Use Case: Automate a security audit by chaining agents to "Analyze authentication system for vulnerabilities," then "Identify and categorize security issues," and finally "Propose fixes with implementation priority."
Quick Start
Run a custom chain to "Write a user authentication function," then "Add input validation and error handling," and finally "Create unit tests with edge cases."
