What problem does it solve? Coordinating multi-step AI workflows manually requires copying outputs between prompts, losing context and wasting effort. This Skill automates sequential prompt chaining so each step's output flows directly into the next, enabling complex data transformations and multi-agent pipelines without manual handoffs. ## Core Features & Use Cases - Custom Chains: Run arbitrary prompt sequences (minimum 2 steps) where each step receives the full output of the previous one, with configurable timeouts, verbose logging, and debug mode. - Predefined Pipelines: Execute built-in workflows for analysis, refactoring, testing, and optimization, each with structured multi-step logic. - Custom Pipeline Definitions: Define reusable named pipelines in a JSON config file for repeated workflows like security audits or documentation generation. - Use Case: Run a security audit chain that scans for vulnerabilities, categorizes issues by severity, proposes fixes, and generates security test cases in one command. ## Quick Start Ask the agent to run a stream chain that analyzes the codebase structure, identifies improvement areas, and generates an action plan.
